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Michael L. Lahr

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Vandegrift, Donald & Lockshiss, Amanda & Lahr, Michael/L, 2009. "Town versus Gown: The Effect of a College on Housing Prices and the Tax Base," MPRA Paper 18998, University Library of Munich, Germany, revised 30 Nov 2009.

    Mentioned in:

    1. Is it good to have a college in town?
      by Economic Logician in Economic Logic on 2010-01-15 01:56:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)

    Mentioned in:

    1. Василиј Леонтјев in Wikipedia (Macedonian)

Working papers

  1. Dina N. Elshahawany & Eduardo A. Haddad & Michael L. Lahr, 2016. "Accessibility, Transportation Cost and Regional Growth: A Case Study for Egypt," Working Papers 1049, Economic Research Forum, revised 09 Jan 2016.

    Cited by:

    1. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.
    2. Eduardo Amaral Haddad & Mahmoud Arbouch & Ademir A. Rocha & Vinicius A. Vale, 2022. "Valuing the Economic Cost of Remoteness: A Case Study of the Tiznit-Dakhla Expressway in Morocco," Research papers & Policy papers 1957, Policy Center for the New South.
    3. Rokicki, Bartlomiej & Stępniak, Marcin, 2018. "Major transport infrastructure investment and regional economic development – An accessibility-based approach," Journal of Transport Geography, Elsevier, vol. 72(C), pages 36-49.
    4. Tchouamou Njoya, Eric, 2020. "An analysis of the tourism and wider economic impacts of price-reducing reforms in air transport services in Egypt," Research in Transportation Economics, Elsevier, vol. 79(C).
    5. Bartlomiej Rokicki & Eduardo A. Haddad & Jonathan M. Horridge & Marcin Stępniak, 2021. "Accessibility in the regional CGE framework: the effects of major transport infrastructure investments in Poland," Transportation, Springer, vol. 48(2), pages 747-772, April.

  2. Haddad, Eduardo & Lahr, Michael & Elshahawany, Dina & Vassallo, Moises, 2014. "Regional Analysis of Domestic Integration in Egypt," TD NEREUS 1-2015, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).

    Cited by:

    1. Elshahawany, Dina & Haddad, Eduardo & Lahr, Michael, 2015. "The Potential Economic Impacts of the Proposed Development Corridor in Egypt: An Interregional CGE Approach," TD NEREUS 6-2015, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    2. Dina N. Elshahawany & Eduardo A. Haddad & Michael L. Lahr, 2017. "Accessibility, transportation cost, and regional growth: a case study for Egypt," Middle East Development Journal, Taylor & Francis Journals, vol. 9(2), pages 256-277, July.

  3. Ling Yang & James Thurlow & Michael L. Lahr, 2012. "The (Declining) Role of Households in Sustaining China's Economy: Structural Path Analysis for 1997-2007," WIDER Working Paper Series wp-2012-083, World Institute for Development Economic Research (UNU-WIDER).

    Cited by:

    1. Mohammed Rachid Doukkali & Caroline Lejars, 2015. "Energy cost of irrigation policy in Morocco: a social accounting matrix assessment," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 31(3), pages 422-435, September.

  4. Vandegrift, Donald & Lockshiss, Amanda & Lahr, Michael/L, 2009. "Town versus Gown: The Effect of a College on Housing Prices and the Tax Base," MPRA Paper 18998, University Library of Munich, Germany, revised 30 Nov 2009.

    Cited by:

    1. Xiao, Yue & Wen, Haizhen & Hui, Eddie C.M. & Zhou, Ganghua, 2022. "Dynamic capitalization effects of educational facilities during different market stages: An empirical study in Hangzhou, China," Land Use Policy, Elsevier, vol. 122(C).
    2. Donald Vandegrift & John Loyer, 2015. "The Effect Of Walmart And Target On The Tax Base: Evidence From New Jersey," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 159-187, March.

  5. Donald, Vandegrift & Michael, Lahr, 2007. "Open Space Purchases, House Prices, and the Tax Base," MPRA Paper 6118, University Library of Munich, Germany.

    Cited by:

    1. Braun, Matías & Gallego, Francisco & Soares, Rodrigo R., 2023. "Come Out and Play: Public Space Recovery, Social Capital, and Citizen Security," IZA Discussion Papers 16269, Institute of Labor Economics (IZA).
    2. Hourie, Eitan & Malul, Miki & Bar-El, Raphael, 2015. "The social value of municipal services," Journal of Policy Modeling, Elsevier, vol. 37(2), pages 253-260.

  6. Michael L. Lahr & Rodrigo Duran & Anupa Varughese, 2004. "Estimating the Impact of Highways on Average Travel Velocities and Market Size," Urban/Regional 0403009, University Library of Munich, Germany.

    Cited by:

    1. Michaels, Guy, 2007. "The Effect of Trade on the Demand for Skill - Evidence from the Interstate Highway System," CEPR Discussion Papers 6056, C.E.P.R. Discussion Papers.
    2. Stephen Gibbons & Teemu Lyytikäinen & Henry Overman & Rosa Sanchis-Guarner, 2017. "New Road Infrastructure: The Effects on Firms," SERC Discussion Papers 0214, Centre for Economic Performance, LSE.
    3. Ejaz Ghani & Arti Grover Goswami & William R. Kerr, 2016. "Highway to Success: The Impact of the Golden Quadrilateral Project for the Location and Performance of Indian Manufacturing," Economic Journal, Royal Economic Society, vol. 126(591), pages 317-357, March.
    4. Ghani, Ejaz & Goswami, Arti Grover & Kerr, William R., 2013. "Highway to success in India : the impact of the golden quadrilateral project for the location and performance of manufacturing," Policy Research Working Paper Series 6320, The World Bank.
    5. Ghani, Ejaz & Goswami, Arti Grover & Kerr, William R., 2013. "The golden quadrilateral highway project and urban/rural manufacturing in India," Policy Research Working Paper Series 6620, The World Bank.

  7. Michael L. Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Post-Print halshs-00068608, HAL.

    Cited by:

    1. Dobrescu, Emilian, 2012. "Restatement of the I-O Coefficient Stability Problem," MPRA Paper 48567, University Library of Munich, Germany.
    2. Richard Wood, 2011. "Construction, Stability And Predictability Of An Input-Output Time-Series For Australia," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 175-211.
    3. Alarcón, Jorge. & Ernst, Christoph. & Khondker, Bazlul. & Sharma, PD., 2011. "Dynamic social accounting matrix (DySAM) : concept, methodology and simulation outcomes: the case of Indonesia and Mozambique," ILO Working Papers 994642523402676, International Labour Organization.
    4. A. M. P. Santos & R. Salvador & C. Guedes Soares, 2018. "A dynamic view of the socioeconomic significance of ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 169-189, June.
    5. Miguel Angel Tarancon & Pablo Del Rio, 2005. "Projection of input-output tables by means of mathematical programming based on the hypothesis of stable structural evolution," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 1-23.
    6. Frank T Denton & Byron G Spencer, 2016. "Immigration And The Rate Of Population Mixing: Explorations With A Stylized Model," Department of Economics Working Papers 2016-13, McMaster University.
    7. Buda, Rodolphe, 2011. "Estimation de l'emploi sectoriel par zone d'emploi du 31.12.1989 au 31.12.2010 – Compléments à la série 1998–2007 de l'INSEE [Estimation of the Sectoral Employment by Employment Areas from the 31th," MPRA Paper 36523, University Library of Munich, Germany.
    8. Chong YIN & Zhi Yuan YANG, 2016. "The Inter-Industrial Linkage Indicators (Iili): A Contribution For The Measurement Of The Industrial Structure Evolution In China (2002, 2007)," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
    9. Robin Lovelace & Mark Birkin & Dimitris Ballas & Eveline van Leeuwen, 2015. "Evaluating the Performance of Iterative Proportional Fitting for Spatial Microsimulation: New Tests for an Established Technique," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-21.
    10. Ochuodho, Thomas O. & Alavalapati, Janaki R.R., 2016. "Integrating natural capital into system of national accounts for policy analysis: An application of a computable general equilibrium model," Forest Policy and Economics, Elsevier, vol. 72(C), pages 99-105.
    11. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    12. Yang Yang & Fan He & Junping Ji & Xin Liu, 2022. "Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China," Energies, MDPI, vol. 15(19), pages 1-24, September.
    13. McDonald, Scott & Punt, Cecilia, 2005. "General equilibrium modelling in South Africa: What the future holds," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-39, March.
    14. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    15. Wenfeng Huang & Shintaro Kobayashi & Hajime Tanji, 2008. "Updating an Input-Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 111-123.
    16. Bill Martin, 2009. "Resurrecting The U.K. Historic Sector National Accounts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 737-751, September.
    17. Barbara Hutniczak, 2022. "Efficient updating of regional supply and use tables with the national-level statistics," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-11, December.
    18. Ryoji Hasegawa & Shigemi Kagawa & Makiko Tsukui, 2015. "Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-20, December.
    19. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.
    20. Peters, Jeffrey C. & Hertel, Thomas, 2015. "The database-modeling nexus in integrated assessment modeling of electric power generation," Conference papers 332638, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    21. Koppány, Krisztián, 2017. "A növekedés lehetőségei és kockázatai. Magyarország feldolgozóipari exportteljesítményének és ágazati szerkezetének vizsgálata, 2010-2014 [Growth opportunities and risks in Hungary's industrial mix," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 17-53.
    22. Firano, Zakaria & Filali adib, Fatine, 2019. "Intersectorial contagion risk in Morocco," MPRA Paper 95343, University Library of Munich, Germany.
    23. Jan Kovanda, 2021. "Economy‐wide material system analysis: Mapping material flows through the economy," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1121-1135, October.
    24. Seyit Kerimkhulle & Natalia Obrosova & Alexander Shananin & Gulmira Azieva, 2022. "The Nonlinear Model of Intersectoral Linkages of Kazakhstan for Macroeconomic Decision-Making Processes in Sustainable Supply Chain Management," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
    25. Aldasoro, Iñaki & Faia, Ester, 2016. "Systemic loops and liquidity regulation," Journal of Financial Stability, Elsevier, vol. 27(C), pages 1-16.
    26. Tamas Revesz, 2023. "A not sign-preserving iteration algorithm for the ‘Improved Normalized Squared Differences’ matrix adjustment model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 49-71, March.
    27. Patterson, Murray, 2014. "Evaluation of matrix algebra methods for calculating transformities from ecological and economic network data," Ecological Modelling, Elsevier, vol. 271(C), pages 72-82.
    28. Rodrigues, João F.D. & Rueda-Cantuche, José M., 2013. "A two-stage econometric method for the estimation of carbon multipliers with rectangular supply and use tables," Ecological Economics, Elsevier, vol. 95(C), pages 206-212.
    29. Juan Manuel Valderas‐Jaramillo & José Manuel Rueda‐Cantuche, 2021. "The multidimensional nD‐GRAS method: Applications for the projection of multiregional input–output frameworks and valuation matrices," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1599-1624, December.
    30. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 517-524, April.
    31. Paweł Zając & Piotr Gurgul, 2012. "Forecasting of migration matrices in business demography," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 387-404, June.
    32. Kovanda, Jan, 2022. "Monitoring food-related material flows with the use of economy-wide material system analysis," Ecological Economics, Elsevier, vol. 195(C).
    33. Stephen Pratt, 2012. "Tourism Yield of Different Market Segments: A Case Study of Hawaii," Tourism Economics, , vol. 18(2), pages 373-391, April.
    34. Ferrão, Paulo & Ribeiro, Paulo & Rodrigues, João & Marques, Alexandra & Preto, Miguel & Amaral, Miguel & Domingos, Tiago & Lopes, Ana & Costa, e Inês, 2014. "Environmental, economic and social costs and benefits of a packaging waste management system: A Portuguese case study," Resources, Conservation & Recycling, Elsevier, vol. 85(C), pages 67-78.
    35. Elvio Mattioli & Giuseppe Ricciardo Lamonica, 2016. "The world’s economic geography: evidence from the world input–output table," Empirical Economics, Springer, vol. 50(3), pages 697-728, May.
    36. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    37. Temurshoev, Umed, 2012. "Entropy-based benchmarking methods," GGDC Research Memorandum GD-122, Groningen Growth and Development Centre, University of Groningen.
    38. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    39. Druckman, A. & Bradley, P. & Papathanasopoulou, E. & Jackson, T., 2008. "Measuring progress towards carbon reduction in the UK," Ecological Economics, Elsevier, vol. 66(4), pages 594-604, July.
    40. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    41. Ana Lúcia Marto Sargento, 2007. "Empirical Examination of the Gravity Model in two Different Contexts: Estimation and Explanation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(2), pages 103-127, August.
    42. Buda, Rodolphe, 2011. "Séries longues d'emploi salarié régional sectoriel français 1967–2006 [French sectoral and regional salaried employment long run time series 1967-2006]," MPRA Paper 34888, University Library of Munich, Germany.
    43. Satoshi Nakano & Kazuhiko Nishimura, 2013. "A nonsurvey multiregional input–output estimation allowing cross-hauling: partitioning two regions into three or more parts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 935-951, June.
    44. Manfred Lenzen & Maria Cecilia Pinto de Moura & Arne Geschke & Keiichiro Kanemoto & Daniel Dean Moran, 2012. "A Cycling Method For Constructing Input--Output Table Time Series From Incomplete Data," Economic Systems Research, Taylor & Francis Journals, vol. 24(4), pages 413-432, February.
    45. Pieters, Janneke, 2010. "Growth and Inequality in India: Analysis of an Extended Social Accounting Matrix," World Development, Elsevier, vol. 38(3), pages 270-281, March.
    46. Gerard Keogh & Patrick Quill, 2009. "The construction and analysis of a consistent set of input–output tables for the Irish economy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 771-788, October.
    47. Szabó, Norbert, 2015. "Methods for regionalizing input-output tables," MPRA Paper 73947, University Library of Munich, Germany.
    48. Ryoko Morioka & Keisuke Nansai & Koji Tsuda, 2018. "Role of linkage structures in supply chain for managing greenhouse gas emissions," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-21, December.
    49. Kristinn Hermannsson, 2013. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input-Output Tables," Working Papers 1305, University of Strathclyde Business School, Department of Economics.
    50. Choi, Jun-Ki & Bakshi, Bhavik R. & Haab, Timothy, 2010. "Effects of a carbon price in the U.S. on economic sectors, resource use, and emissions: An input-output approach," Energy Policy, Elsevier, vol. 38(7), pages 3527-3536, July.
    51. Arne Geschke & Julien Ugon & Manfred Lenzen & Keiichiro Kanemoto & Daniel Dean Moran, 2019. "Balancing and reconciling large multi-regional input–output databases using parallel optimisation and high-performance computing," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-24, December.
    52. V. I. Blanutsa & K. A. Cherepanov, 2019. "Regional Information Flows: Existing and New Approaches to Geographical Study," Regional Research of Russia, Springer, vol. 9(1), pages 97-106, January.
    53. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.
    54. Erik Dietzenbacher & Ronald E. Miller, 2009. "Ras‐Ing The Transactions Or The Coefficients: It Makes No Difference," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 555-566, August.

  8. Alexandru Voicu & Michael L. Lahr, 2004. "Expenditure-based Interarea Cost of Living Index," Urban/Regional 0403006, University Library of Munich, Germany.

    Cited by:

    1. Elena Lasarte Navamuel & Dusan Paredes & Esteban Fernández Vázquez, 2012. "A true cost of living index for Spain using a microeconomic approach and censored data," Documentos de Trabajo en Economia y Ciencia Regional 26, Universidad Catolica del Norte, Chile, Department of Economics, revised Aug 2012.

Articles

  1. Christa D. Court & João-Pedro Ferreira & Geoffrey J.D. Hewings & Michael L. Lahr, 2021. "Accounting for global value chains: rising global inequality in the wake of COVID-19?," International Review of Applied Economics, Taylor & Francis Journals, vol. 35(6), pages 813-831, November.

    Cited by:

    1. Matthew S. Lyons, 2023. "The economic impact of COVID-19 on the creative industries: a sub-regional input–output approach," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-12, December.

  2. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.

    Cited by:

    1. Sharada Nia Davidson & James Black & Kevin Connolly & Mairi Spowage, 2022. "Improving the Quality of Regional Economic Indicators in the UK: A Framework for the Production of Supply and Use and Input Output Tables for the Four Nations," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-14, Economic Statistics Centre of Excellence (ESCoE).
    2. Amir Maghssudipour & Annalisa Caloffi & Marco Bellandi & Letizia Donati, 2022. "Language as a regional driver of the trade of place-sensitive products: The case of made-in-Italy goods," Working Papers - Economics wp2022_09.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    3. Matthew S. Lyons, 2023. "The economic impact of COVID-19 on the creative industries: a sub-regional input–output approach," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-12, December.

  3. João-Pedro Ferreira & Pedro N Ramos & Michael L Lahr, 2020. "The rise of the sharing economy: Guesthouse boom and the crowding-out effects of tourism in Lisbon," Tourism Economics, , vol. 26(3), pages 389-403, May.

    Cited by:

    1. João-Pedro Ferreira & Bijeta Bijen Saha & Gabriel Cardoso Carrero & Jinwon Kim & Christa Court, 2023. "Impacts of red tide in peer-to-peer accommodations: A multi-regional input-output model," Tourism Economics, , vol. 29(3), pages 812-834, May.
    2. Yan Zhang & Jiekuan Zhang, 2023. "Revisiting Tourism Development and Economic Growth: A Framework for Configurational Analysis in Chinese Cities," Sustainability, MDPI, vol. 15(13), pages 1-20, June.

  4. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.

    Cited by:

    1. Dung Tien Nguyen & Thanh Quang Ngo, 2019. "Dynamics of Household-level Energy Access in Vietnam during 2002-2014," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 132-145.
    2. Ling Yang & Kai Zhao & Yankai Zhao & Mengyuan Zhong, 2021. "Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis," Energies, MDPI, vol. 14(21), pages 1-20, November.
    3. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
    4. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    5. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    6. Aliyu Salisu Barau & Aliyu Haidar Abubakar & Abdul-Hakim Ibrahim Kiyawa, 2020. "Not There Yet: Mapping Inhibitions to Solar Energy Utilisation by Households in African Informal Urban Neighbourhoods," Sustainability, MDPI, vol. 12(3), pages 1-14, January.
    7. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.

  5. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.

    Cited by:

    1. Xiongfeng Pan & Mengna Li & Chenxi Pu & Haitao Xu, 2021. "Study on the industrial structure optimization under constraint of energy intensity," Energy & Environment, , vol. 32(1), pages 134-151, February.
    2. Guerra, Ana-Isabel & Sancho, Ferran, 2018. "Positive and normative analysis of the output opportunity costs of GHG emissions reductions: A comparison of the six largest EU economies," Energy Policy, Elsevier, vol. 122(C), pages 45-62.
    3. Nakano, Satoshi & Arai, Sonoe & Washizu, Ayu, 2018. "Development and application of an inter-regional input-output table for analysis of a next generation energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2834-2842.

  6. Dina N. Elshahawany & Eduardo A. Haddad & Michael L. Lahr, 2017. "Accessibility, transportation cost, and regional growth: a case study for Egypt," Middle East Development Journal, Taylor & Francis Journals, vol. 9(2), pages 256-277, July.
    See citations under working paper version above.
  7. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.

    Cited by:

    1. He, He & Reynolds, Christian John & Li, Linyang & Boland, John, 2019. "Assessing net energy consumption of Australian economy from 2004–05 to 2014–15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis," Applied Energy, Elsevier, vol. 240(C), pages 766-777.
    2. Nelė Jurkėnaitė & Tomas Baležentis & Dalia Štreimikienė, 2022. "The sustainability prism of structural changes in the European Union agricultural system: The nexus between production, employment and energy emissions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 145-158, January.
    3. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    4. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    5. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    6. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    7. PU, Zhengning & YUE, Shujing & GAO, Peng, 2020. "The driving factors of China's embodied carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    8. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    9. Yousaf Ali & Maurizio Ciaschini & Claudio Socci & Rosita Pretaroli & Muhammad Sabir, 2019. "Identifying the sources of structural changes in CO2 emissions in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 509-526, July.
    10. Liu, Yajuan & Wang, Yutao & Mi, Zhifu & Ma, Zhongyu, 2018. "Carbon implications of China’s changing economic structure at the city level," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 163-171.
    11. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    12. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Croner, Daniel & Koller, Wolfgang & Mahlberg, Bernhard, 2018. "Economic drivers of greenhouse gas-emissions in small open economies: A hierarchical structural decomposition analysis," MPRA Paper 85755, University Library of Munich, Germany.
    14. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    15. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    16. Meng, Jing & Zhang, Zengkai & Mi, Zhifu & Anadon, Laura Diaz & Zheng, Heran & Zhang, Bo & Shan, Yuli & Guan, Dabo, 2018. "The role of intermediate trade in the change of carbon flows within China," Energy Economics, Elsevier, vol. 76(C), pages 303-312.
    17. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    18. Li, Jizhe & Huang, Guohe & Liu, Lirong & Li, Yongping & Zhai, Mengyu & Xu, Xinli, 2021. "Projections of carbon metabolism in 2035 and implications for demand-side controls under various scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    19. Cheng Peng & Xiaolin Guo & Hai Long, 2022. "Carbon Intensity and Green Transition in the Chinese Manufacturing Industry," Energies, MDPI, vol. 15(16), pages 1-20, August.
    20. Liu, Shangwei & Tian, Xin & Cai, Wenjia & Chen, Weiqiang & Wang, Yafei, 2018. "How the transitions in iron and steel and construction material industries impact China’s CO2 emissions: Comprehensive analysis from an inter-sector linked perspective," Applied Energy, Elsevier, vol. 211(C), pages 64-75.
    21. Wu, Sanmang & Li, Shantong & Lei, Yalin & Li, Li, 2020. "Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes," Energy Economics, Elsevier, vol. 89(C).
    22. Xia Wang & Lijun Zhang & Yaochen Qin & Jingfei Zhang, 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    23. Ling Li & Jingjing Li & Ling Tang & Shouyang Wang, 2019. "Balancing Tourism’s Economic Benefit and CO 2 Emissions: An Insight from Input–Output and Tourism Satellite Account Analysis," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    24. Irfan Ahmed & Claudio Socci & Francesca Severini & Qaiser Rafique Yasser & Rosita Pretaroli, 2018. "The structures of production, final demand and agricultural output: a Macro Multipliers analysis of the Nigerian economy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 691-739, December.

  8. Eduardo Amaral Haddad & Michael L. Lahr & Dina N. Elshahawany & Moisés Vassallo, 2016. "Regional analysis of domestic integration in Egypt: an interregional CGE approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-33, December.

    Cited by:

    1. Eduardo A. Haddad & Natalia Q. Cotarelli, Thiago C. Simonato, Vinicius A. Vale & Jaqueline C. Vicentin, 2018. "Estimation of NUTS2 Interregional Input-Output Systems for Greece, 2010 and 2013," Working Papers, Department of Economics 2018_07, University of São Paulo (FEA-USP).
    2. Amaral Haddad, Eduardo & Fernandes de Araújo, Inácio & Ibarraran, María Eugenia & Boyd, Roy & Elizondo, Alejandra & Liedo-Orozco, Pedro & Menchero-Garcia, Mariana & Belausteguigoitia, Juan Carlos, 2019. "Interregional Input-Output System for Mexico, 2013," TD NEREUS 7-2019, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    3. Amaral Haddad, Eduardo & Cotarelli, Natalia & Simonato, Thiago & Vale, Vinicius & Coelho Visentin, Jaqueline, 2017. "The Grand Tour: Keynes and Goodwin go to Greece," TD NEREUS 5-2017, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    4. Osman, Rehab & Ferrari, Emanuele & McDonald, Scott, 2019. "Is improving Nile water quality ‘fruitful’?," Ecological Economics, Elsevier, vol. 161(C), pages 20-31.
    5. Eduardo Amaral Haddad & Inácio F. Araújo & Ademir Rocha & Karina Sass, 2022. "Input-Output Analysis of the Ukraine War: A Tool for Assessing the Internal Territorial Impacts of the Conflict," Research papers & Policy papers 1953, Policy Center for the New South.

  9. Haiyan Zhang & Michael L. Lahr & Jun Bi, 2016. "Challenges of green consumption in China: a household energy use perspective," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 183-201, June.

    Cited by:

    1. Abdullah Al Mamun & Muhammad Mohiuddin & Ghazali Bin Ahmad & Ramayah Thurasamy & Syed Ali Fazal, 2018. "Recycling Intention and Behavior among Low-Income Households," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    2. Wu, X.F. & Chen, G.Q., 2017. "Global primary energy use associated with production, consumption and international trade," Energy Policy, Elsevier, vol. 111(C), pages 85-94.
    3. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    4. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    5. Edyta Sidorczuk-Pietraszko, 2020. "Spatial Differences in Carbon Intensity in Polish Households," Energies, MDPI, vol. 13(12), pages 1-21, June.
    6. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    7. Li, Jiajia & Zhang, Jian & Zhang, Dayong & Ji, Qiang, 2019. "Does gender inequality affect household green consumption behaviour in China?," Energy Policy, Elsevier, vol. 135(C).
    8. Ying Lu & Sang Do Park, 2022. "Time Series Analysis of Policy Discourse on Green Consumption in China: Text Mining and Network Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    9. Abdullah Al Mamun & Kanniga Malar Mohan & Noorshella Che Nawi & Muhammad Mehedi Masud & Rajennd Muniady & Noor Raihani Zainol, 2020. "Environmentally Friendly Business Practices among Low-Income Households in Rural Peninsular Malaysia," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    10. Duarte, Rosa & Langarita, Raquel & Sánchez-Chóliz, Julio, 2017. "The electricity industry in Spain: A structural analysis using a disaggregated input-output model," Energy, Elsevier, vol. 141(C), pages 2640-2651.
    11. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.

  10. Zhang, Haiyan & Lahr, Michael L., 2014. "China's energy consumption change from 1987 to 2007: A multi-regional structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 682-693.

    Cited by:

    1. Liang, Xuedong & Yang, Xu & Yan, Fuhai & Li, Zhi, 2020. "Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis," Resources Policy, Elsevier, vol. 67(C).
    2. He, He & Reynolds, Christian John & Li, Linyang & Boland, John, 2019. "Assessing net energy consumption of Australian economy from 2004–05 to 2014–15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis," Applied Energy, Elsevier, vol. 240(C), pages 766-777.
    3. José A. Camacho & Lucas Silva Almeida & Mercedes Rodríguez & Jesús Molina, 2022. "Domestic versus foreign energy use: an analysis for four European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4602-4622, April.
    4. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    5. Lei Jiang & Ling Bai, 2017. "Revisiting the Granger Causality Relationship between Energy Consumption and Economic Growth in China: A Multi-Timescale Decomposition Approach," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    6. Boqiang Lin, & Wang, Miao, 2019. "Possibilities of decoupling for China’s energy consumption from economic growth: A temporal-spatial analysis," Energy, Elsevier, vol. 185(C), pages 951-960.
    7. Michał Gostkowski & Tomasz Rokicki & Luiza Ochnio & Grzegorz Koszela & Kamil Wojtczuk & Marcin Ratajczak & Hubert Szczepaniuk & Piotr Bórawski & Aneta Bełdycka-Bórawska, 2021. "Clustering Analysis of Energy Consumption in the Countries of the Visegrad Group," Energies, MDPI, vol. 14(18), pages 1-25, September.
    8. Wang, Xianzhu & Huang, He & Hong, Jingke & Ni, Danfei & He, Rongxiao, 2020. "A spatiotemporal investigation of energy-driven factors in China: A region-based structural decomposition analysis," Energy, Elsevier, vol. 207(C).
    9. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    10. Ninpanit, Panittra & Malik, Arunima & Wakiyama, Takako & Geschke, Arne & Lenzen, Manfred, 2019. "Thailand’s energy-related carbon dioxide emissions from production-based and consumption-based perspectives," Energy Policy, Elsevier, vol. 133(C).
    11. PU, Zhengning & YUE, Shujing & GAO, Peng, 2020. "The driving factors of China's embodied carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    12. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    13. Liu, Fei & Zhang, Xudong & Adebayo, Tomiwa Sunday & Awosusi, Abraham Ayobamiji, 2022. "Asymmetric and moderating role of industrialisation and technological innovation on energy intensity: Evidence from BRICS economies," Renewable Energy, Elsevier, vol. 198(C), pages 1364-1372.
    14. Amaral Haddad, Eduardo & Cotarelli, Natalia & Simonato, Thiago & Vale, Vinicius & Coelho Visentin, Jaqueline, 2017. "The Grand Tour: Keynes and Goodwin go to Greece," TD NEREUS 5-2017, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    15. Young Yoon & Minyoung Yang & Jinsoo Kim, 2018. "An Analysis of CO 2 Emissions from International Transport and the Driving Forces of Emissions Change," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    16. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    17. Jialing Zou & Weidong Liu & Zhipeng Tang, 2017. "Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    18. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    19. Rosa Duarte & Alfredo J. Mainar-Causapé & Julio Sánchez Chóliz, 2017. "Domestic GHG emissions and the responsibility of households in Spain: looking for regional differences," Applied Economics, Taylor & Francis Journals, vol. 49(53), pages 5397-5411, November.
    20. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    21. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    22. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    23. Lucas Wilfried Hahn-De-Castro, 2016. "Un ejercicio de descomposición estructural para Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 14622, Banco de la República, Economía Regional.
    24. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    25. Yawen Han & Shigemi Kagawa & Fumiya Nagashima & Keisuke Nansai, 2019. "Sources of China’s Fossil Energy-Use Change," Energies, MDPI, vol. 12(4), pages 1-16, February.
    26. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    27. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    28. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    29. Liu, Ying & Lin, Boqiang & Xu, Bin, 2021. "Modeling the impact of energy abundance on economic growth and CO2 emissions by quantile regression: Evidence from China," Energy, Elsevier, vol. 227(C).
    30. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    31. Nooraddin Sharify & Ramezan Hosseinzadeh, 2015. "Sources of Change in Energy Consumption in Iran: A Structural Decomposition Analysis," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(3), pages 325-339, Autumn.
    32. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    33. Song, Yi & Huang, Jianbai & Zhang, Yijun & Wang, Zhiping, 2019. "Drivers of metal consumption in China: An input-output structural decomposition analysis," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    34. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    35. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    36. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    37. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
    38. Chung, Yessica C.Y. & Lee, Tsung-Chen, 2020. "Tele-connecting urban food consumption to land use at multiple spatial scales: A case study of beef in Taiwan," Ecological Economics, Elsevier, vol. 169(C).
    39. Mohamad Taghvaee, Vahid & Hajiani, Parviz, 2016. "Environment, Energy and Environmental Productivity of Energy: A Decomposition Analysis in China and the US," MPRA Paper 70055, University Library of Munich, Germany.
    40. Yunlong Zhao & Linwei Ma & Zheng Li & Weidou Ni, 2022. "A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    41. Shichun Xu & Yiwen Li & Yuan Tao & Yan Wang & Yunfan Li, 2020. "Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    42. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
    43. Yafei Wang & Arne Geschke & Manfred Lenzen, 2017. "Constructing a Time Series of Nested Multiregion Input–Output Tables," International Regional Science Review, , vol. 40(5), pages 476-499, September.
    44. Tyralis, Hristos & Mamassis, Nikos & Photis, Yorgos N., 2017. "Spatial analysis of the electrical energy demand in Greece," Energy Policy, Elsevier, vol. 102(C), pages 340-352.
    45. Zhipeng Tang & Shuang Wu & Jialing Zou, 2020. "Consumption substitution and change of household indirect energy consumption in China between 1997 and 2012," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
    46. Juan Tomas Sayago-Gomez, 2014. "Matlab Code for Structural Decomposition Analysis," Working Papers Technical Document 2014-0, Regional Research Institute, West Virginia University, revised 05 May 2014.
    47. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
    48. Li, Yajing & Chen, Bin & Fang, Delin & Zhang, Boyu & Bai, Junhong & Liu, Gengyuan & Zhang, Yan, 2021. "Drivers of energy-related PM2.5 emissions in the Jing-Jin-Ji region between 2002 and 2015," Applied Energy, Elsevier, vol. 288(C).
    49. Owen, Anne & Brockway, Paul & Brand-Correa, Lina & Bunse, Lukas & Sakai, Marco & Barrett, John, 2017. "Energy consumption-based accounts: A comparison of results using different energy extension vectors," Applied Energy, Elsevier, vol. 190(C), pages 464-473.
    50. Jiang, Xuemei & Duan, Yuwan & Green, Christopher, 2017. "Regional disparity in energy intensity of China and the role of industrial and export structure," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 209-218.
    51. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    52. Jia, Hongxiang & Li, Tianjiao & Wang, Anjian & Liu, Guwang & Guo, Xiaoqian, 2021. "Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective," Resources Policy, Elsevier, vol. 74(C).
    53. Zhipeng Tang & Jialing Zou & Shuang Wu, 2018. "What Drove Changes in the Embodied Energy Consumption of Guangdong’s Exports from 2007–2012?," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    54. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
    55. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    56. Anne Owen & Kjartan Steen-Olsen & John Barrett & Thomas Wiedmann & Manfred Lenzen, 2014. "A Structural Decomposition Approach To Comparing Mrio Databases," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 262-283, September.
    57. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).

  11. Kyeongsu Kim & Michael L. Lahr, 2014. "The impact of Hudson-Bergen Light Rail on residential property appreciation," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 79-97, November.

    Cited by:

    1. Xu, Tao & Zhang, Ming, 2016. "Tailoring empirical research on transit access premiums for planning applications," Transport Policy, Elsevier, vol. 51(C), pages 49-60.
    2. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    3. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    4. Melser, Daniel, 2020. "Estimating the housing capitalization effects of new infrastructure: Should we be using rents instead of prices?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 402-421.
    5. Xu, Tao & Zhang, Ming & Aditjandra, Paulus T., 2016. "The impact of urban rail transit on commercial property value: New evidence from Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 223-235.
    6. Sangwan Lee & Liming Wang, 2022. "Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    7. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    8. Devaux, Nicolas & Dubé, Jean & Apparicio, Philippe, 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013," Journal of Transport Geography, Elsevier, vol. 62(C), pages 8-19.
    9. Tideman, Nicolaus & Plassmann, Florenz, 2018. "The effects of changes in land value on the value of buildings," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 69-76.
    10. Camins-Esakov, Jacob & Vandegrift, Donald, 2018. "Impact of a light rail extension on residential property values," Research in Transportation Economics, Elsevier, vol. 67(C), pages 11-18.
    11. Yunxi Bai & Jusheng Song & Shanshan Wu & Wei Wang & Jacqueline T. Y. Lo & S. M. Lo, 2020. "Comparing the Impacts of Location Attributes on Residents’ Preferences and Residential Values in Compact Cities: A Case Study of Hong Kong," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    12. Gadziński, Jędrzej & Radzimski, Adam, 2016. "The first rapid tram line in Poland: How has it affected travel behaviours, housing choices and satisfaction, and apartment prices?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 451-463.
    13. Peter Phibbs & Nicole Gurran, 2021. "The role and significance of planning in the determination of house prices in Australia: Recent policy debates," Environment and Planning A, , vol. 53(3), pages 457-479, May.
    14. Pengyu Ren & Zhaoji Li & Weiguang Cai & Lina Ran & Lei Gan, 2021. "Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China," Land, MDPI, vol. 10(12), pages 1-15, December.
    15. Renan Almeida & Marcelo Brandão & Ramon Torres & Pedro Patrício & Pedro Amaral, 2021. "An assessment of the impacts of large‐scale urban projects on land values: The case of Belo Horizonte, Brazil," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 517-559, April.
    16. Noland, Robert B. & Weiner, Marc D. & DiPetrillo, Stephanie & Kay, Andrew I., 2017. "Attitudes towards transit-oriented development: Resident experiences and professional perspectives," Journal of Transport Geography, Elsevier, vol. 60(C), pages 130-140.
    17. Sun, Weizeng & Zheng, Siqi & Wang, Rui, 2015. "The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 104-115.
    18. Mulley, Corinne & Tsai, Chi-Hong (Patrick) & Ma, Liang, 2018. "Does residential property price benefit from light rail in Sydney?," Research in Transportation Economics, Elsevier, vol. 67(C), pages 3-10.

  12. Haiyan Zhang & Michael L. Lahr, 2014. "Can The Carbonizing Dragon Be Domesticated? Insights From A Decomposition Of Energy Consumption And Intensity In China, 1987--2007," Economic Systems Research, Taylor & Francis Journals, vol. 26(2), pages 119-140, June.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. Wen, Le & Guang, Fengtao & Sharp, Basil, 2021. "Dynamics in Aotearoa New Zealand’s energy consumption between 2006/2007 and 2012/2013," Energy, Elsevier, vol. 225(C).
    3. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    4. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    5. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    6. Li-Jing Liu & Qiao-Mei Liang & Felix Creutzig & Nan Cheng & Lan-Cui Liu, 2021. "Electricity end-use and construction activity are key leverage points for co-controlling greenhouse gases and local pollution in China," Climatic Change, Springer, vol. 167(1), pages 1-22, July.
    7. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    8. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    9. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    10. Guevara, Zeus & Henriques, SofiaTeives & Sousa, Tânia, 2021. "Driving factors of differences in primary energy intensities of 14 European countries," Energy Policy, Elsevier, vol. 149(C).
    11. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    12. Alexander Vaninsky, 2018. "Optimal environment-friendly economic restructuring: the United States–China cooperation case study," Economic Change and Restructuring, Springer, vol. 51(3), pages 189-220, August.
    13. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    14. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    15. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    16. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    17. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
    18. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.

  13. Erik Dietzenbacher & Manfred Lenzen & Bart Los & Dabo Guan & Michael L. Lahr & Ferran Sancho & Sangwon Suh & Cuihong Yang, 2013. "Input--Output Analysis: The Next 25 Years," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 369-389, December.

    Cited by:

    1. Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature," Working Papers 200175, University of Western Australia, School of Agricultural and Resource Economics.
    2. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    3. Guevara, Zeus & Domingos, Tiago, 2017. "The multi-factor energy input–output model," Energy Economics, Elsevier, vol. 61(C), pages 261-269.
    4. Juan C. Surís-Regueiro & José L. Santiago, 2016. "An Input-Output methodological proposal to quantifying socio economic impacts linked to supply shocks," Working Papers 1603, Universidade de Vigo, Departamento de Economía Aplicada.
    5. Liz Wachs & Shweta Singh, 2018. "A modular bottom-up approach for constructing physical input–output tables (PIOTs) based on process engineering models," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-24, December.
    6. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
    7. Guevara, Zeus & Domingos, Tiago, 2017. "Three-level decoupling of energy use in Portugal 1995–2010," Energy Policy, Elsevier, vol. 108(C), pages 134-142.
    8. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 93229, University Library of Munich, Germany.
    9. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    10. Vaccaro, Roberto & Rocco, Matteo V., 2021. "Quantifying the impact of low carbon transition scenarios at regional level through soft-linked energy and economy models: The case of South-Tyrol Province in Italy," Energy, Elsevier, vol. 220(C).
    11. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 92835, University Library of Munich, Germany.
    12. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    13. Mingquan Wang & Lingyun Zhang & Xin Su & Yang Lei & Qun Shen & Wei Wei & Maohua Wang, 2019. "Assessing the technology impact for industry carbon density reduction in China based on C3IAM-Tice," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1455-1468, December.
    14. Hiramatsu, Tomoru & Inoue, Hiroki & Kato, Yasuhiko, 2016. "Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 385-402.
    15. Fenner, Andriel Evandro & Kibert, Charles Joseph & Woo, Junghoon & Morque, Shirley & Razkenari, Mohamad & Hakim, Hamed & Lu, Xiaoshu, 2018. "The carbon footprint of buildings: A review of methodologies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1142-1152.
    16. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    17. David Font Vivanco & Ranran Wang & Edgar Hertwich, 2018. "Nexus Strength: A Novel Metric for Assessing the Global Resource Nexus," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1473-1486, December.
    18. Bruno Casella & Richard Bolwijn & Daniel Moran & Keiichiro Kanemoto, . "Improving the analysis of global value chains: the UNCTAD-Eora Database," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.

  14. Michael Greenberg & Paul Lioy & Birnur Ozbas & Nancy Mantell & Sastry Isukapalli & Michael Lahr & Tayfur Altiok & Joseph Bober & Clifton Lacy & Karen Lowrie & Henry Mayer & Jennifer Rovito, 2013. "Passenger Rail Security, Planning, and Resilience: Application of Network, Plume, and Economic Simulation Models as Decision Support Tools," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 1969-1986, November.

    Cited by:

    1. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    2. Hui Xu & Liudan Jiao & Shulin Chen & Milan Deng & Ningxin Shen, 2018. "An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    3. Ali Jamshidi & Shahrzad Faghih‐Roohi & Siamak Hajizadeh & Alfredo Núñez & Robert Babuska & Rolf Dollevoet & Zili Li & Bart De Schutter, 2017. "A Big Data Analysis Approach for Rail Failure Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1495-1507, August.

  15. Erik Dietzenbacher & Michael L. Lahr, 2013. "Expanding Extractions," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 341-360, September.

    Cited by:

    1. Grant Allan & Kevin Connolly & Peter McGregor & Andrew G Ross, 2019. "Economic activity supported by offshore wind: a hypothetical extraction study," Working Papers 1911, University of Strathclyde Business School, Department of Economics.
    2. Mahdi Ghaemi Asl & Sajad Rajabi & Muhammad Irfan & Reza Ranjbaran & Mohammad Ghasemi Doudkanlou, 2022. "COVID-19 restrictions and greenhouse gas savings in selected Islamic and MENA countries: An environmental input–output approach for climate policies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13937-13989, December.
    3. Maeno, Keitaro, 2023. "Identifying critical sectors in the restructuring of low-carbon global supply chains," Energy Economics, Elsevier, vol. 127(PA).
    4. Gervásio Ferreira dos Santos & Luiz Carlos de Santana Ribeiro & Rodrigo Barbosa de Cerqueira, 2020. "The informal sector and Covid‐19 economic impacts: The case of Bahia, Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1273-1285, December.
    5. Luis E Pedauga & Ana Pardo-Fanjul & Juan C Redondo & José M Izquierdo, 2022. "Assessing the economic contribution of sports tourism events: A regional social accounting matrix analysis approach," Tourism Economics, , vol. 28(3), pages 599-620, May.
    6. Katsuhiro Sakurai & Hiroyuki Shibusawa, 2021. "The economic impact of the inland water fisheries/aquaculture industry: The case of the eel industry in Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(6), pages 1729-1749, December.
    7. Luis Pedauga & Francisco Sáez & Blanca L. Delgado-Márquez, 2022. "Macroeconomic lockdown and SMEs: the impact of the COVID-19 pandemic in Spain," Small Business Economics, Springer, vol. 58(2), pages 665-688, February.
    8. Escaith, Hubert, 2021. "Withering globalization? The Global Value Chain effects of trade decoupling," MPRA Paper 107935, University Library of Munich, Germany.
    9. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 93229, University Library of Munich, Germany.
    10. Inaki Arto & Erik Dietzenbacher & Jose Manuel Rueda-Cantuche, 2019. "Measuring bilateral trade in terms of value added," JRC Research Reports JRC116694, Joint Research Centre.
    11. Shohei Tokito & Tesshu Hanaka & Fumiya Nagashima, 2023. "Structural attribution of emissions along the global supply chain and implications for climate policy," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1488-1499, December.
    12. Hiroyuki Shibusawa & Yuzuru Miyata, 2017. "Evaluating production effects of economic activity in zones surrounding the nuclear power station in Shizuoka Prefecture, Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 1(2), pages 291-306, October.
    13. Magacho, Guilherme & Espagne, Etienne & Godin, Antoine & Mantes, Achilleas & Yilmaz, Devrim, 2023. "Macroeconomic exposure of developing economies to low-carbon transition," World Development, Elsevier, vol. 167(C).
    14. Koppány, Krisztián & Solt, Katalin & Hunyadi, Zsuzsanna, 2020. "Fesztiválok gazdasági hatáselemzése [An economic impact analysis of Hungarian festivals]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 585-631.
    15. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 92835, University Library of Munich, Germany.
    16. Raffaele Giammetti & Luca Papi & Désirée Teobaldelli & Davide Ticchi, 2020. "The Italian value chain in the pandemic: the input–output impact of Covid-19 lockdown," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 483-497, September.
    17. Héctor Romero-Ramírez, 2023. "The trade dependence of Mexico and Canada towards the USA: An input-output approach (1965-1990)/La dependencia comercial de México y Canadá hacia los Estados Unidos: un enfoque de insumo-producto," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 38(2), pages 293-316.
    18. Ian P.Cassar, 2017. "Assessing structural change in the Maltese economy via the application of a hypothetical extraction analysis," CBM Working Papers WP/01/2017, Central Bank of Malta.
    19. Tao Sun, 2024. "Systemic importance of financial services and insurance sectors: a world input–output network analysis," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 63-96, January.
    20. Allan, Grant J. & Ross, Andrew G., 2019. "The characteristics of energy employment in a system-wide context," Energy Economics, Elsevier, vol. 81(C), pages 238-258.
    21. Antonio Kido-Cruz & María Teresa Kido-Cruz, 2021. "Initial Assessment of the Impact of the SARS-CoV-19 on Tourism in Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-23, Julio - S.
    22. Seyed Reza Mirnezami & Sajad Rajabi, 2021. "Changing Primary Energy Consumption Due to COVID-19: The Study 20 European Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 615-631.
    23. Fitsum Semere Weldegiorgis & Evelyn Dietsche & Shabbir Ahmad, 2023. "Inter-Sectoral Economic Linkages in the Mining Industries of Botswana and Tanzania: Analysis Using Partial Hypothetical Extraction Method," Resources, MDPI, vol. 12(7), pages 1-26, June.
    24. Hiroyuki Shibusawa & Itsuko Shimabukuro & Ichihiro Uchida, 2019. "Evaluating the regional economy and industrial structure using IRIO and MRIO tables for municipalities in Aichi and Okinawa prefectures," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 219-245, February.
    25. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    26. Eduardo Rodrigues Sanguinet & Augusto Mussi Alvim & Miguel Atienza & Adelar Fochezatto, 2021. "The subnational supply chain and the COVID‐19 pandemic: Short‐term impacts on the Brazilian regional economy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 158-186, November.
    27. Hertwich, Edgar, 2019. "The Carbon Footprint of Material Production Rises to 23% of Global Greenhouse Gas Emissions," SocArXiv n9ecw, Center for Open Science.
    28. Maeno, Keitaro & Tokito, Shohei & Kagawa, Shigemi, 2022. "CO2 mitigation through global supply chain restructuring," Energy Economics, Elsevier, vol. 105(C).
    29. Zhao, Hongyan & Zhang, Qiang & Huo, Hong & Lin, Jintai & Liu, Zhu & Wang, Haikun & Guan, Dabo & He, Kebin, 2016. "Environment-economy tradeoff for Beijing–Tianjin–Hebei’s exports," Applied Energy, Elsevier, vol. 184(C), pages 926-935.
    30. Paolo Manasse & G. Alfredo Minerva & Roberto Patuelli & Lorenzo Zirulia, 2020. "How to Lockdown an Economy: an Input Output Analysis of the Italian Case," Working Papers wp1152, Dipartimento Scienze Economiche, Universita' di Bologna.
    31. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    32. Chen, Quanrun & Löschel, Andreas & Pei, Jiansuo & Peters, Glen P. & Xue, Jinjun & Zhao, Zhongxiu, 2019. "Processing trade, foreign outsourcing and carbon emissions in China," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 1-12.
    33. Escaith, Hubert, 2019. "Extraction-cum-substitution: A KISS approach to mapping the impacts of bilateral trade conflicts," MPRA Paper 95162, University Library of Munich, Germany.
    34. Emre Ünal, 2021. "Industrial growth models by input–output analysis and an institutional approach to the automotive industry in China and Turkey," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 175-203, April.
    35. Randall Jackson, 2015. "Fellows Address: Are Industry Clusters and Diversity Strange Bedfellows?," Working Papers Working Paper 2015-04, Regional Research Institute, West Virginia University.
    36. Maria Llop, 2022. "Quantifying the employment impacts of gross exports: a global accounting perspective," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-17, December.

  16. Donald Vandegrift & Amanda Lockshiss & Michael Lahr, 2012. "Town versus Gown: The Effect of a College on Housing Prices and the Tax Base," Growth and Change, Wiley Blackwell, vol. 43(2), pages 304-334, June.
    See citations under working paper version above.
  17. Donald Vandegrift & Michael Lahr, 2011. "Open space, house prices, and the tax base," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(1), pages 83-100, February.

    Cited by:

    1. Vandegrift, Donald & Loyer, John & Kababik, David, 2011. "The effect of Walmart on the tax base: evidence from New Jersey," MPRA Paper 30937, University Library of Munich, Germany.
    2. Kalinin, Alexey V. & Sims, Katharine R.E. & Meyer, Spencer R. & Thompson, Jonathan R., 2023. "Does land conservation raise property taxes? Evidence from New England cities and towns," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    3. Donald Vandegrift & John Loyer, 2015. "The Effect Of Walmart And Target On The Tax Base: Evidence From New Jersey," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 159-187, March.
    4. Karen A. Sullivan, 2017. "Brownfields Remediation: Impact on Local Residential Property Tax Revenue," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-20, September.

  18. Yang, Ling & Lahr, Michael L., 2010. "Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987-2005," China Economic Review, Elsevier, vol. 21(4), pages 557-570, December.

    Cited by:

    1. Ling Yang & James Thurlow & Michael L. Lahr, 2012. "The (Declining) Role of Households in Sustaining China's Economy: Structural Path Analysis for 1997-2007," WIDER Working Paper Series wp-2012-083, World Institute for Development Economic Research (UNU-WIDER).
    2. Brondino, Gabriel, 2019. "Productivity growth and structural change in China (1995–2009): A subsystems analysis," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 183-191.
    3. Jiang, Yanqing, 2011. "Understanding openness and productivity growth in China: An empirical study of the Chinese provinces," China Economic Review, Elsevier, vol. 22(3), pages 290-298, September.
    4. Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Strohmaier, R. & Rainer, A., 2016. "Studying general purpose technologies in a multi-sector framework: The case of ICT in Denmark," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 34-49.
    6. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    7. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2014. "Decomposition analysis of the telecommunications sector in Indonesia: What does the cellular era shed light on?," Telecommunications Policy, Elsevier, vol. 38(3), pages 248-263.
    8. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    9. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
    10. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    11. Dong, Qi & Murakami, Tomoaki & Nakashima, Yasuhiro, 2021. "Induced Bias of Technological Change in Agriculture and Structural Transformation: A Translog Cost Function Analysis of Chinese Cereal Production," 2021 Conference, August 17-31, 2021, Virtual 315373, International Association of Agricultural Economists.
    12. Martin Lábaj & Karol Morvay & Martin Hudcovský, 2015. "Labour Elasticity in V4 countries: Structural decomposition analysis," Department of Economic Policy Working Paper Series 009, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    13. Shaohua Zhang & Tzu-Pu Chang & Li-Chuan Liao, 2020. "A Dual Challenge in China’s Sustainable Total Factor Productivity Growth," Sustainability, MDPI, vol. 12(13), pages 1-17, July.
    14. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
    15. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," MPRA Paper 100106, University Library of Munich, Germany.
    16. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.
    17. Strohmaier, Rita & Rainer, Andreas, 2013. "On the Eonomic Purpose of General Purpose Technologies: A Combined Classical and Evolutionary Framework," MPRA Paper 45964, University Library of Munich, Germany.
    18. Juan Tomas Sayago-Gomez, 2014. "Matlab Code for Structural Decomposition Analysis," Working Papers Technical Document 2014-0, Regional Research Institute, West Virginia University, revised 05 May 2014.
    19. Esfandiar Jahangard & Reza Ghazal & Elnaz Ayoughi, 2014. "The Sources of Labor Productivity Growth in Norway,South Koreaand Iran: A Structural Decomposition Analysis," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 18(2), pages 25-45, Spring.

  19. Michael L. Lahr, 2009. "Regional Science, Regional Scientists, and State Policy," International Regional Science Review, , vol. 32(4), pages 495-508, October.

    Cited by:

    1. Steven C. Deller, 2015. "Is Regional Science the Embodiment of the Engaged University?," The Review of Regional Studies, Southern Regional Science Association, vol. 45(1), pages 1-13, Spring.
    2. Court, Christa Dean & Jackson, Randall W. & White, Nancy, 2012. "The Role of Regional Science in Shale Energy Development," The Review of Regional Studies, Southern Regional Science Association, vol. 42(2), pages 99-105, Summer.
    3. Feng, Yidai & Liu, Yaobin & Yuan, Huaxi, 2022. "The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency," Energy Policy, Elsevier, vol. 164(C).
    4. Christa D. Court & Elham Erfanian, 2019. "A Role for Regional Science in Analyzing Water Issues," Working Papers Research Paper 2019-04, Regional Research Institute, West Virginia University.

  20. Miguel angel Tarancon & Fernando Callejas & Erik Dietzenbacher & Michael Lahr, 2008. "A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 75-95.

    Cited by:

    1. Alcántara, Vicent & Tarancón, Miguel-Angel & del Río, Pablo, 2013. "Assessing the technological responsibility of productive structures in electricity consumption," Energy Economics, Elsevier, vol. 40(C), pages 457-467.
    2. Tarancon, Miguel Angel & Del Río, Pablo, 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques," Energy, Elsevier, vol. 37(1), pages 161-170.
    3. Tarancón, Miguel Angel & del Río, Pablo & Callejas Albiñana, Fernando, 2010. "Assessing the influence of manufacturing sectors on electricity demand. A cross-country input-output approach," Energy Policy, Elsevier, vol. 38(4), pages 1900-1908, April.
    4. Gurgul, Henryk & Lach, Łukasz, 2019. "Eco-efficiency analysis in generalized IO models: Methods and examples," MPRA Paper 96604, University Library of Munich, Germany.
    5. Vicent Alcantara, 2015. "Economic growth and productive structure in an input/output model: An alternative coefficient sensitivity analysis (english version of working paper 11.08)," Working Papers wpdea1504, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    7. Gurgul, Henryk & Lach, Łukasz, 2018. "On using dynamic IO models with layers of techniques to measure value added in global value chains," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 155-170.

  21. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Felder, Frank & Zimmerman, Rae, 2007. "Short and intermediate economic impacts of a terrorist-initiated loss of electric power: Case study of New Jersey," Energy Policy, Elsevier, vol. 35(1), pages 722-733, January.

    Cited by:

    1. Carlos Adri?n Romero & Omar Osvaldo Chisari & Leonardo Javier Mastronardi & Arturo Leonardo V?squez Cordano, 2015. "The cost of failing to prevent gas supply interruption: A CGE assessment for Peru," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 131-148.
    2. Coaffee, Jon, 2008. "Risk, resilience, and environmentally sustainable cities," Energy Policy, Elsevier, vol. 36(12), pages 4633-4638, December.
    3. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    4. Sue Wing, Ian & Rose, Adam Z., 2020. "Economic consequence analysis of electric power infrastructure disruptions: General equilibrium approaches," Energy Economics, Elsevier, vol. 89(C).
    5. Seppänen, Hannes & Luokkala, Pekka & Zhang, Zhe & Torkki, Paulus & Virrantaus, Kirsi, 2018. "Critical infrastructure vulnerability—A method for identifying the infrastructure service failure interdependencies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 25-38.
    6. Hines, Paul & Apt, Jay & Talukdar, Sarosh, 2009. "Large blackouts in North America: Historical trends and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5249-5259, December.
    7. Umberto Monarca & Ernesto Cassetta & Alessandro Sarra & Cesare Pozzi, 2015. "Integrating renewable energy sources into electricity markets: Power system operation, resource adequacy and market design," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 149-166.
    8. Galbraith, John W. & Iuliani, Luca, 2019. "Measures of robustness for networked critical infrastructure: An empirical comparison on four electrical grids," International Journal of Critical Infrastructure Protection, Elsevier, vol. 27(C).
    9. Taylan G. Topcu & Konstantinos Triantis, 2022. "An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences," Annals of Operations Research, Springer, vol. 309(1), pages 395-423, February.
    10. Jonathan Eyer & Adam Rose, 2019. "Mitigation and Resilience Tradeoffs for Electricity Outages," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 61-77, April.

  22. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.

    Cited by:

    1. Bjoern Hagendorff & Jens Hagendorff & Kevin Keasey, 2015. "The Impact of Mega‐Catastrophes on Insurers: An Exposure‐Based Analysis of the U.S. Homeowners’ Insurance Market," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 157-173, January.
    2. Thomas Thaler, 2021. "Just retreat—how different countries deal with it: examples from Austria and England," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(3), pages 412-419, September.
    3. Robert Bierkandt & Leonie Wenz & Sven Norman Willner & Anders Levermann, 2014. "Acclimate—a model for economic damage propagation. Part 1: basic formulation of damage transfer within a global supply network and damage conserving dynamics," Environment Systems and Decisions, Springer, vol. 34(4), pages 507-524, December.
    4. Stéphane Hallegatte, 2008. "An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 779-799, June.
    5. Joost Santos & Christian Yip & Shital Thekdi & Sheree Pagsuyoin, 2020. "Workforce/Population, Economy, Infrastructure, Geography, Hierarchy, and Time (WEIGHT): Reflections on the Plural Dimensions of Disaster Resilience," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 43-67, January.
    6. Michael Greenberg & Charles Haas & Anthony Cox & Karen Lowrie & Katherine McComas & Warner North, 2012. "Ten Most Important Accomplishments in Risk Analysis, 1980–2010," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 771-781, May.
    7. Michael Greenberg & Paul Lioy & Birnur Ozbas & Nancy Mantell & Sastry Isukapalli & Michael Lahr & Tayfur Altiok & Joseph Bober & Clifton Lacy & Karen Lowrie & Henry Mayer & Jennifer Rovito, 2013. "Passenger Rail Security, Planning, and Resilience: Application of Network, Plume, and Economic Simulation Models as Decision Support Tools," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 1969-1986, November.
    8. Andre F. T. Avelino & Sandy Dall'erba, 2019. "Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 85-104, January.
    9. David Mendoza‐Tinoco & Yixin Hu & Zhao Zeng & Konstantinos J. Chalvatzis & Ning Zhang & Albert E. Steenge & Dabo Guan, 2020. "Flood Footprint Assessment: A Multiregional Case of 2009 Central European Floods," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1612-1631, August.
    10. Nadia Benali (a) and Rochdi Feki (b), 2020. "The Relationship between Natural Disasters, Education, ICT and Economic Growth:Empirical Evidence from ARDL Bounds Testing Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 45(4), pages 93-111, December.
    11. Michael R. Greenberg & Karen Lowrie & Henry Mayer & Tayfur Altiok, 2011. "Risk‐Based Decision Support Tools: Protecting Rail‐Centered Transit Corridors from Cascading Effects," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1849-1858, December.
    12. Chen Qing & Shili Guo & Xin Deng & Wei Wang & Jiahao Song & Dingde Xu, 2022. "Stay in Risk Area: Place Attachment, Efficacy Beliefs and Risk Coping," IJERPH, MDPI, vol. 19(4), pages 1-19, February.

  23. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 115-134.
    See citations under working paper version above.
  24. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.

    Cited by:

    1. Joost R. Santos, 2006. "Inoperability input‐output modeling of disruptions to interdependent economic systems," Systems Engineering, John Wiley & Sons, vol. 9(1), pages 20-34, March.
    2. Ashkan Masouman & Charles Harvie, 2020. "Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia," Environment and Planning B, , vol. 47(1), pages 65-83, January.
    3. Xueting Zhao, 2014. "Disaggregating Input-Output Models," Working Papers Technical Document 2014-0, Regional Research Institute, West Virginia University.
    4. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    5. Christa Court & Randall W. Jackson, 2010. "Time Dynamics and the Introduction of New Technologies within IO Analysis," Working Papers Working Paper 2010-03, Regional Research Institute, West Virginia University.
    6. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    7. G. Lindberg & P. Midmore & Y. Surry, 2012. "Agriculture’s Inter-industry Linkages, Aggregation Bias and Rural Policy Reforms," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 552-575, September.
    8. Gabela, Julio Gustavo Fournier, 2020. "On the accuracy of gravity-RAS approaches used for inter-regional trade estimation: evidence using the 2005 inter-regional input–output table of Japan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(4), pages 521-539.
    9. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    10. Xesús Pereira-López & Napoleón Guillermo Sánchez-Chóez & Melchor Fernández-Fernández, 2021. "Performance of bidimensional location quotients for constructing input–output tables," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    11. Michael R. Greenberg & Karen Lowrie & Henry Mayer & Tayfur Altiok, 2011. "Risk‐Based Decision Support Tools: Protecting Rail‐Centered Transit Corridors from Cascading Effects," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1849-1858, December.
    12. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Frisch, Michael & White, Keith & Kehler, David, 2005. "Evaluating the economic effects of a new state-funded school building program: the prevailing wage issue," Evaluation and Program Planning, Elsevier, vol. 28(1), pages 33-45.
    13. Rodolphe Buda, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 397-408, May.
    14. Ali Jalili, 2005. "Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients," Economic Change and Restructuring, Springer, vol. 38(2), pages 147-165, June.
    15. Hairui Wei & Ming Dong & Shuyu Sun, 2010. "Inoperability input‐output modeling (IIM) of disruptions to supply chain networks," Systems Engineering, John Wiley & Sons, vol. 13(4), pages 324-339, December.
    16. Beynon, Malcolm J. & Munday, Max, 2008. "Considering the effects of imprecision and uncertainty in ecological footprint estimation: An approach in a fuzzy environment," Ecological Economics, Elsevier, vol. 67(3), pages 373-383, October.
    17. Tony Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2015. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina," Working Papers 20151508, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    18. Gordon Mulligan & Randall Jackson & Amanda Krugh, 2013. "Economic base multipliers: a comparison of ACDS and IMPLAN," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(3), pages 289-303, August.

  25. Lahr, Michael L. & Gibbs, Robert M., 2002. "Mobility of Section 8 families in Alameda County," Journal of Housing Economics, Elsevier, vol. 11(3), pages 187-213, September.

    Cited by:

    1. John I. Carruthers & Natasha T. Duncan & Brigitte S. Waldorf, 2013. "Public And Subsidized Housing As A Platform For Becoming A United States Citizen," Journal of Regional Science, Wiley Blackwell, vol. 53(1), pages 60-90, February.

  26. Michael Lahr, 2001. "Reconciling Domestication Techniques, the Notion of Re-exports and Some Comments on Regional Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 165-179.

    Cited by:

    1. María Teresa Álvarez-Martínez & Michael L. Lahr, 2016. "Gaming, States, and Tax Revenues—the Tortoise or the Hare: A CGE Comparative Assessment of Casino Resorts and Games-Only Casinos," Growth and Change, Wiley Blackwell, vol. 47(2), pages 236-258, June.
    2. Tobias KRONENBERG, 2010. "Derivative Construction of Regional Input-Output Tables under Limited Data Availability," Regional and Urban Modeling 284100026, EcoMod.
    3. Umed Temurshoev, 2006. "Pollution Haven Hypothesis or Factor Endowment Hypothesis: Theory and Empirical Examination for the US and China," CERGE-EI Working Papers wp292, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Gunnar Lindberg, 2011. "On the appropriate use of (input-output) coefficients to generate non-survey regional input-output tables: Implications for the determination of output multipliers," ERSA conference papers ersa10p800, European Regional Science Association.
    5. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    6. José G Caraballo-Cueto, 2017. "How (not) to Estimate GDP at the Sub-State Level: The Usefulness of the Economic Census," The Review of Regional Studies, Southern Regional Science Association, vol. 47(3), pages 289-308, Fall.
    7. Eduardo Amaral Haddad & Michael L. Lahr & Dina N. Elshahawany & Moisés Vassallo, 2016. "Regional analysis of domestic integration in Egypt: an interregional CGE approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-33, December.
    8. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    9. Banerjee, Onil & Cicowiez, Martin & Gachot, Sébastien, 2015. "A quantitative framework for assessing public investment in tourism – An application to Haiti," Tourism Management, Elsevier, vol. 51(C), pages 157-173.
    10. Mateo Cordier & T. Poitelon & W. Hecq, 2018. "The shared environmental responsibility principle: new developments applied to the case of marine ecosystems," Post-Print hal-01880305, HAL.
    11. Eduardo Haddad & Michael Lahr & Dina Elshahawany & Moisés Vassallo, 2015. "Regional Analysis of Domestic Integration in Egypt," ERSA conference papers ersa15p159, European Regional Science Association.
    12. Jiansuo Pei & Erik Dietzenbacher & Jan Oosterhaven & Cuihong Yang, 2011. "Accounting for China's Import Growth: A Structural Decomposition for 1997–2005," Environment and Planning A, , vol. 43(12), pages 2971-2991, December.
    13. Arby, Muhammad Farooq, 2008. "Some Issues in the National Income Accounts of Pakistan (Rebasing, Quarterly and Provincial Accounts and Growth Accounting)," MPRA Paper 32048, University Library of Munich, Germany.
    14. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Felder, Frank & Zimmerman, Rae, 2007. "Short and intermediate economic impacts of a terrorist-initiated loss of electric power: Case study of New Jersey," Energy Policy, Elsevier, vol. 35(1), pages 722-733, January.
    15. Erik Dietzenbacher & Manfred Lenzen & Bart Los & Dabo Guan & Michael L. Lahr & Ferran Sancho & Sangwon Suh & Cuihong Yang, 2013. "Input--Output Analysis: The Next 25 Years," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 369-389, December.
    16. Randall Jackson & Walter Schwarm, 2011. "Accounting Foundations for Interregional Commodity-by-Industry Input-Output Models," Working Papers Research Paper 2011-01, Regional Research Institute, West Virginia University.
    17. Takuro Uehara & Mateo Cordier & Bertrand Hamaide, 2018. "Fully Dynamic Input-Output/System Dynamics Modeling for Ecological-Economic System Analysis," Post-Print hal-02862512, HAL.
    18. Michael Lahr & Maria Alvarez, 2013. "Tortoise and the Hare Revisited? A CGE Analysis of Gaming and State Tax Revenues:," ERSA conference papers ersa13p191, European Regional Science Association.
    19. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    20. Mateo Cordier & Thomas Poitelon & Walter Hecq, 2018. "Developing a shared environmental responsibility principle for distributing cost of restoring marine habitats destroyed by industrial harbors," Working Papers CEB 18-008, ULB -- Universite Libre de Bruxelles.
    21. Ana Sargento & Pedro Nogueira Ramos & Geoffrey Hewings, 2011. "Input-Output Modelling Based on Total-Use Rectangular Tables: Is This a Better Way?," Notas Económicas, Faculty of Economics, University of Coimbra, issue 34, pages 08-34, December.
    22. Takuro Uehara & Mateo Cordier & Bertrand Hamaide, 2018. "Fully Dynamic Input-Output/System Dynamics Modeling for Ecological-Economic System Analysis," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    23. Cordier, Mateo & Uehara, Takuro & Weih, Jeffrey & Hamaide, Bertrand, 2017. "An Input-output Economic Model Integrated Within a System Dynamics Ecological Model: Feedback Loop Methodology Applied to Fish Nursery Restoration," Ecological Economics, Elsevier, vol. 140(C), pages 46-57.
    24. Takuro Uehara & Mateo Cordier & Bertrand Hamaide, 2018. "Fully dynamic input-output/system dynamics modeling for ecological-economic system analysis," ULB Institutional Repository 2013/277116, ULB -- Universite Libre de Bruxelles.
    25. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    26. McDonald, Garry W. & Forgie, Vicky E. & MacGregor, Catherine, 2006. "Treading lightly: Ecofootprints of New Zealand's ageing population," Ecological Economics, Elsevier, vol. 56(3), pages 424-439, March.
    27. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    28. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Frisch, Michael & White, Keith & Kehler, David, 2005. "Evaluating the economic effects of a new state-funded school building program: the prevailing wage issue," Evaluation and Program Planning, Elsevier, vol. 28(1), pages 33-45.
    29. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    30. Tony Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2015. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina," Working Papers 20151508, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    31. Shigemi Kagawa & Hajime Inamura & Yuichi Moriguchi, 2004. "A Simple Multi-Regional Input-Output Account for Waste Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(1), pages 1-20.
    32. Christa Court, 2010. "Who Generates Hazardous Wastes? Attribution of Producer and Consumer Responsibility Within the US," Working Papers Working Paper 2010-16, Regional Research Institute, West Virginia University.
    33. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2014. "Empirical evidence on the use of the FLQ formula for regionalizing national input-output tables: The case of the Province of C¨®rdoba, Argentina," Working Papers 20141406, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

Books

  1. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2008. "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521049436.

    Cited by:

    1. Cortés-Borda, D. & Guillén-Gosálbez, G. & Jiménez, L., 2015. "Assessment of nuclear energy embodied in international trade following a world multi-regional input–output approach," Energy, Elsevier, vol. 91(C), pages 91-101.
    2. Stefan Ederer & Peter Reschenhofer, 2014. "A Global Value Chain Analysis of Macroeconomic Imbalances in Europe. WWWforEurope Working Paper No. 67," WIFO Studies, WIFO, number 47500, April.
    3. Eszter Moln'ar & D'enes Csala, 2022. "Topology-dependence of propagation mechanisms in the production network," Papers 2205.08874, arXiv.org.

  2. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2004. "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521832380.

    Cited by:

    1. Umed Temurshoev, 2006. "Pollution Haven Hypothesis or Factor Endowment Hypothesis: Theory and Empirical Examination for the US and China," CERGE-EI Working Papers wp292, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. Vincent Carret, 2022. "Understanding the bitterness of Wassily Leontief: Postwar success and failures of input-output techniques," Working Papers halshs-03603527, HAL.
    3. Guilhoto, Joaquim José Martins, 2011. "Análise de Insumo-Produto: Teoria e Fundamentos [Input-Output Analysis: Theory and Foundations]," MPRA Paper 32566, University Library of Munich, Germany.
    4. Stefan Ederer & Stefan Weingärtner, 2014. "Structural Disparities in Carbon Dioxide Consumption and Trade in the World Economy. WWWforEurope Policy Paper No. 16," WIFO Studies, WIFO, number 47498, April.
    5. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    6. Richard S. J. Tol, 2022. "Rise of the Kniesians: the professor-student network of Nobel laureates in economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 29(4), pages 680-703, July.
    7. Xing, Lizhi & Guan, Jun & Dong, Xianlei & Wu, Shan, 2018. "Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 164-184.
    8. Akhabbar, Amanar & Antille, Gabrielle & Fontela, Emilio & Pulido, Antonio, 2011. "Input-Output in Europe: Trends in Research and Application," MPRA Paper 30208, University Library of Munich, Germany.
    9. Xing, Lizhi & Guan, Jun & Wu, Shan, 2018. "Measuring the impact of final demand on global production system based on Markov process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 148-163.
    10. Jon Samuels & Erich Strassner, 2019. "Toward a Global Integrated Industry-level Production Account: A Proposal," International Productivity Monitor, Centre for the Study of Living Standards, vol. 36, pages 7-33, Spring.
    11. Pohit, Sanjib & Pal, Barun, 2011. "Productivity and technical change in Indian economy," MPRA Paper 32736, University Library of Munich, Germany.
    12. Stefan Ederer & Stefan Weingärtner, 2014. "Structural Disparities in Carbon Dioxide Consumption and Trade in the World Economy," WIFO Working Papers 478, WIFO.
    13. Karen R. Polenske & Nicolas O. Rockler, 2014. "Ideal or Not Ideal Interregional Input–Output Accounts and Model," International Regional Science Review, , vol. 37(1), pages 66-77, January.
    14. Daniel Lind, 2011. "The Myths and Reality of Deindustrialization in Sweden: The Role of Productivity," International Productivity Monitor, Centre for the Study of Living Standards, vol. 22, pages 29-43, Fall.
    15. Pilar Barra & Bartolomé Marco & Cristina Cachero, 2019. "Economic impact of language tourism on mature sun and sand destinations: The case of Alicante (Spain)," Tourism Economics, , vol. 25(6), pages 923-941, September.
    16. Akhabbar, Amanar, 2019. "Introduction : Malaise dans la science économique ? [Introduction: Economics and Its Discontents]," MPRA Paper 93328, University Library of Munich, Germany.
    17. Lakner, Zoltan & Baker, Gregory A., 2014. "Struggling with Uncertainty: The State of Global Agri-Food Sector in 2030," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(4), pages 1-36, November.

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