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Chunhua Wang

Personal Details

First Name:Chunhua
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa268

Affiliation

School of International Trade and Economics (SITE)
University of International Business and Economics (UIBE)

Beijing, China
http://site.uibe.edu.cn/

: 8610-64493301
8610-64493042
No.10 Huxin Dongjie, Chaoyang District, Beijing 100029
RePEc:edi:siuibcn (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Jean-Claude Thill & Chunhua Wang, 2011. "Understanding Willingness to Support Higher Taxes for Urban Transportation Services: The Case of an American City," ERSA conference papers ersa11p1449, European Regional Science Association.

Articles

  1. Wang, Chunhua, 2014. "Regulating land development in a natural disaster-prone area: The roles of building codes," Resource and Energy Economics, Elsevier, vol. 36(1), pages 209-228.
  2. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
  3. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.
  4. Chunhua Wang & Jean‐Claude Thill & Ross K. Meentemeyer, 2012. "Estimating the demand for public open space: Evidence from North Carolina municipalities," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 219-232, March.
  5. Chunhua Wang & JunJie Wu, 2011. "Natural amenities, increasing returns and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(4), pages 687-707, July.
  6. Wang, Chunhua, 2011. "Sources of energy productivity growth and its distribution dynamics in China," Resource and Energy Economics, Elsevier, vol. 33(1), pages 279-292, January.
  7. Chunhua Wang, 2010. "Falling commuting costs, amenity advantages, and suburbanization," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(2), pages 351-364, October.
  8. Chunhua Wang, 2007. "A dynamic stochastic frontier production model with time-varying efficiency: comment," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 415-417.
  9. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.

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.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.

    Cited by:

    1. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    2. Lizhan Cao & Zhongying Qi, 2017. "Theoretical Explanations for the Inverted-U Change of Historical Energy Intensity," Sustainability, MDPI, Open Access Journal, vol. 9(6), pages 1-19, June.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    5. Ruzive, Tafadzwa & Mkhombo, Thando & Mhaka, Simba & Mavikela, Nomahlubi & Phiri, Andrew, 2017. "Electricity intensity and unemployment in South Africa: A quantile regression analysis," MPRA Paper 81717, University Library of Munich, Germany.
    6. Calcagnini, Giorgio & Giombini, Germana & Travaglini, Giuseppe, 2016. "Modelling energy intensity, pollution per capita and productivity in Italy: A structural VAR approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1482-1492.
    7. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    8. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    9. Huang, Yongfu, 2014. "Drivers of rising global energy demand: The importance of spatial lag and error dependence," Energy, Elsevier, vol. 76(C), pages 254-263.
    10. Bongseok Choi & Wooyoung Park & Bok-Keun Yu, 2015. "Energy Efficiency and Firm Growth," Working Papers 2015-28, Economic Research Institute, Bank of Korea.
    11. Adom, Philip Kofi & Adams, Samuel, 2018. "Energy savings in Nigeria. Is there a way of escape from energy inefficiency?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2421-2430.
    12. Kempa, Karol & Haas, Christian, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," Annual Conference 2016 (Augsburg): Demographic Change 145722, Verein für Socialpolitik / German Economic Association.
    13. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, pages 1165-1175.
    14. Christian Haas & Karol Kempa, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," MAGKS Papers on Economics 201610, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Brown, Alistair, 2016. "The need for improved financial reporting of a developing country energy utility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1448-1454.
    16. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, pages 450-459.
    17. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2017. "Driving forces for aggregate energy consumption: A cross-country approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1033-1050.

  2. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.

    Cited by:

    1. Bosupeng, Mpho, 2015. "Drivers of Global Carbon Dioxide Emissions: International Evidence," MPRA Paper 77925, University Library of Munich, Germany, revised 2015.
    2. Cicea, Claudiu & Marinescu, Corina & Popa, Ion & Dobrin, Cosmin, 2014. "Environmental efficiency of investments in renewable energy: Comparative analysis at macroeconomic level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 555-564.
    3. Mahmut Zortuk & Sinan Çeken, 2016. "Testing Environmental Kuznets Curve in the Selected Transition Economies with Panel Smooth Transition Regression Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(43), pages 537-537, August.
    4. Bosupeng Mpho, 2016. "The Effect of Exports on Carbon Dioxide Emissions: Policy Implications," International Journal of Management and Economics, De Gruyter Open, vol. 51(1), pages 20-32, September.

  3. Chunhua Wang & Jean‐Claude Thill & Ross K. Meentemeyer, 2012. "Estimating the demand for public open space: Evidence from North Carolina municipalities," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 219-232, March.

    Cited by:

    1. Brian Pickard & Joshua Gray & Ross Meentemeyer, 2017. "Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models," Land, MDPI, Open Access Journal, vol. 6(3), pages 1-21, August.

  4. Chunhua Wang & JunJie Wu, 2011. "Natural amenities, increasing returns and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(4), pages 687-707, July.

    Cited by:

    1. Lenzi, Camilla, 2016. "Co-invention networks and inventive productivity in US citiesAuthor-Name: Breschi, Stefano," Journal of Urban Economics, Elsevier, vol. 92(C), pages 66-75.
    2. Annekatrin Niebuhr & Tanja Buch & Silke Hamann & Anja Rossen, 2012. "Jobs or Amenities – What determines the migration balances of cities?," ERSA conference papers ersa12p401, European Regional Science Association.
    3. Alexander S. Skorobogatov, 2014. "An Ongoing Reversal Of Fortune Among Russian Cities: City Age, Natural Resources, And Changing Spatial Income Distribution," HSE Working papers WP BRP 60/EC/2014, National Research University Higher School of Economics.
    4. John Carruthers & Gordon F. Mulligan, 2012. "The plane of living and the precrisis evolution of housing values in the USA," Journal of Economic Geography, Oxford University Press, vol. 12(4), pages 739-773, July.
    5. Canfei He & Xiyan Mao, 2016. "Population dynamics and regional development in China," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 535-549.

  5. Wang, Chunhua, 2011. "Sources of energy productivity growth and its distribution dynamics in China," Resource and Energy Economics, Elsevier, vol. 33(1), pages 279-292, January.

    Cited by:

    1. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    2. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.
    5. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, pages 158-165.
    6. Tsun Se Cheong & Yanrui Wu, 2014. "The Impacts of Structural Transformation and Industrial Upgrading on Regional Inequality in China," Economics Discussion / Working Papers 14-09, The University of Western Australia, Department of Economics.
    7. Christian Gross, 2011. "Explaining the (non-) causality between energy and economic growth in the U.S. - A multivariate sectoral analysis," Papers on Economics and Evolution 2011-04, Philipps University Marburg, Department of Geography.
    8. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    9. Jie Mao & Chunhua Wang, 2016. "Tax incentives and environmental protection: evidence from China’s taxpayer-level data," China Finance and Economic Review, Springer, vol. 4(1), pages 1-30, December.
    10. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    11. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    12. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    13. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    14. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    15. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, pages 1165-1175.
    16. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    17. Chunhua Wang, 2016. "Regional Economic Development, Energy Consumption and Carbon Emissions in China," EEPSEA Research Report rr20160338, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2016.
    18. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    19. Chen, Xiude & Qin, Quande & Wei, Y.-M., 2016. "Energy productivity and Chinese local officials’ promotions: Evidence from provincial governors," Energy Policy, Elsevier, vol. 95(C), pages 103-112.
    20. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    21. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    22. Minzhe Du & Bing Wang & Yanrui Wu, 2014. "Sources of China’s Economic Growth: An Empirical Analysis Based on the BML Index with Green Growth Accounting," Sustainability, MDPI, Open Access Journal, vol. 6(9), pages 1-22, September.

  6. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.

    Cited by:

    1. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    2. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    3. Lizhan Cao & Zhongying Qi, 2017. "Theoretical Explanations for the Inverted-U Change of Historical Energy Intensity," Sustainability, MDPI, Open Access Journal, vol. 9(6), pages 1-19, June.
    4. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    5. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    6. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.
    7. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Productivity assessment of Angola's oil blocks," Energy, Elsevier, vol. 34(11), pages 2009-2015.
    9. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    10. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, pages 158-165.
    11. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
    12. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-13, April.
    13. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    14. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    15. Travaglini, Giuseppe, 2012. "Trade-off between labor productivity and capital accumulation in Italian energy sector," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 35-48.
    16. Shiyi Chen, 2009. "Engine or drag: Can high energy consumption and CO 2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 548-571, December.
    17. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    18. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-14, February.
    19. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.
    20. Christian Gross, 2011. "Explaining the (non-) causality between energy and economic growth in the U.S. - A multivariate sectoral analysis," Papers on Economics and Evolution 2011-04, Philipps University Marburg, Department of Geography.
    21. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, pages 617-626.
    22. Zhang, Xing-Ping & Tan, Ya-Kun & Tan, Qin-Liang & Yuan, Jia-Hai, 2012. "Decomposition of aggregate CO2 emissions within a joint production framework," Energy Economics, Elsevier, vol. 34(4), pages 1088-1097.
    23. Khoshroo, Alireza & Mulwa, Richard & Emrouznejad, Ali & Arabi, Behrouz, 2013. "A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production," Energy, Elsevier, vol. 63(C), pages 189-194.
    24. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    25. Wang, Chunhua, 2011. "Sources of energy productivity growth and its distribution dynamics in China," Resource and Energy Economics, Elsevier, vol. 33(1), pages 279-292, January.
    26. Yadav, Vinod Kumar & Padhy, N.P. & Gupta, H.O., 2010. "A micro level study of an Indian electric utility for efficiency enhancement," Energy, Elsevier, vol. 35(10), pages 4053-4063.
    27. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    28. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    29. Coccia, Mario, 2010. "Energy metrics for driving competitiveness of countries: Energy weakness magnitude, GDP per barrel and barrels per capita," Energy Policy, Elsevier, vol. 38(3), pages 1330-1339, March.
    30. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    31. Yu-Ying Lin, Eugene & Chen, Ping-Yu & Chen, Chi-Chung, 2013. "Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach," Energy, Elsevier, vol. 55(C), pages 340-353.
    32. Liyun Chen & Qi Duan, 2016. "Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis," 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. 84(1), pages 267-277, November.
    33. Lin Boqiang & Kui Liu, 2017. "Using LMDI to Analyze the Decoupling of Carbon Dioxide Emissions from China’s Heavy Industry," Sustainability, MDPI, Open Access Journal, vol. 9(7), pages 1-16, July.
    34. Zhang, Xing-Ping & Zhang, Jing & Tan, Qin-Liang, 2013. "Decomposing the change of CO2 emissions: A joint production theoretical approach," Energy Policy, Elsevier, vol. 58(C), pages 329-336.
    35. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    36. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    37. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    38. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    39. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, pages 491-501.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (1) 2011-12-05
  2. NEP-PBE: Public Economics (1) 2011-12-05
  3. NEP-POL: Positive Political Economics (1) 2011-12-05
  4. NEP-URE: Urban & Real Estate Economics (1) 2011-12-05

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