IDEAS home Printed from https://ideas.repec.org/e/c/pot92.html

Akihiro Otsuka

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.

Articles

  1. Akihiro Otsuka, 2025. "Borrowed size and agglomeration shadows in Japan: a spatial econometric analysis of regional productivity," Asia-Pacific Journal of Regional Science, Springer, vol. 9(4), pages 1115-1144, December.

    Cited by:

    1. Arup Mitra & Sabyasachi Tripathi & Komali Yenneti, 2026. "Are Indian small towns deprived due to agglomeration shadows?," Asia-Pacific Journal of Regional Science, Springer, vol. 10(1), pages 1-34, March.
    2. Akihiro Otsuka, 2025. "An assessment of the borrowed size effect on the regional innovation system in Japan: a stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(4), pages 1-23, December.

  2. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.

    Cited by:

    1. Akihiro Otsuka, 2025. "An assessment of the borrowed size effect on the regional innovation system in Japan: a stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(4), pages 1-23, December.
    2. Wei Li & Niansong Tu, 2026. "The impact of industrial green development on manufacturing global value chain position in the Greater Mekong Sub-Region," Asia-Pacific Journal of Regional Science, Springer, vol. 10(2), pages 1-30, June.

  3. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.

    Cited by:

    1. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    2. Akihiro Otsuka, 2024. "Price Elasticity of Electricity Consumption in Japan, 1990 to 2015," SAGE Open, , vol. 14(1), pages 21582440241, February.
    3. Zaidan, Esmat & Shannak, Sa'd & Cochrane, Logan, 2025. "The effect of subsidies, climate, and technology on residential electricity consumption in Qatar," Utilities Policy, Elsevier, vol. 96(C).

  4. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).

    Cited by:

    1. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
    2. Honma, Satoshi & Ushifusa, Yoshiaki & Taghizadeh-Hesary, Farhad & Okamura, Soyoka & Vandercammee, Lilu, 2024. "Environmental efficiency of Japanese regions before and after the Great East Japan Earthquake," MPRA Paper 120945, University Library of Munich, Germany.
    3. Erdem, Murat & Gürtürk, Mert, 2025. "Economic analysis of the impact of Turkey's renewable support mechanism on solar energy investment," Utilities Policy, Elsevier, vol. 92(C).
    4. Akihiro Otsuka, 2024. "Price Elasticity of Electricity Consumption in Japan, 1990 to 2015," SAGE Open, , vol. 14(1), pages 21582440241, February.
    5. Jinshi Wei, 2025. "The Dynamic Evolution of Industrial Electricity Consumption Linkages and Flow Path in China," Energies, MDPI, vol. 18(15), pages 1-21, August.
    6. Zaidan, Esmat & Shannak, Sa'd & Cochrane, Logan, 2025. "The effect of subsidies, climate, and technology on residential electricity consumption in Qatar," Utilities Policy, Elsevier, vol. 96(C).
    7. Li, Cong & Li, Xinyu & Zhang, Meng & Yang, Benshou, 2024. "Sustainable development through clean energy: The role of mineral resources in promoting access to clean electricity," Resources Policy, Elsevier, vol. 90(C).

  5. Yoshiro Higano & Akihiro Otsuka, 2022. "Special Feature on Regional Sustainability: analysis in a spatial and regional context with broad perspectives on the risk of global warming, natural disasters, and emerging issues due to the globalized economy," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 239-245, February.

    Cited by:

    1. Yoshihiro Zenno & Kentaka Aruga, 2022. "Institutional Investors’ Willingness to Pay for Green Bonds: A Case for Shanghai," JRFM, MDPI, vol. 15(11), pages 1-16, November.
    2. Mohammad Chhiddikur Rahman & Md Shajedur Rahaman & Jatish C. Biswas & Niaz Md. Farhat Rahman & Mohammad Ariful Islam & Md Abdur Rouf Sarkar & Md Saiful Islam & Md Maniruzzaman, 2023. "Climate change and risk scenario in Bangladesh," Asia-Pacific Journal of Regional Science, Springer, vol. 7(2), pages 381-404, June.

  6. Akihiro Otsuka, 2022. "Assessment of the improvement in energy intensity by the new high-speed railway in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 267-282, February.

    Cited by:

    1. Hao Wang & Tao Zhang & Xi Wang, 2024. "High-speed railways reduces carbon emissions: mediating effects of green innovation and the resilience of environmental investment," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-24, December.
    2. Weiya Chen & Yongzhuo Yu & Xiaoping Fang & Ziyue Yuan & Shiying Tong, 2023. "Using Mixed Methods to Identify Evaluation Indicators for Green Railway Transportation Operations in China," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    3. Yoshiro Higano & Akihiro Otsuka, 2022. "Special Feature on Regional Sustainability: analysis in a spatial and regional context with broad perspectives on the risk of global warming, natural disasters, and emerging issues due to the globalized economy," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 239-245, February.
    4. Zhang, Fengting & Xiang, Pengcheng & Wang, Dan & Su, Jiafu, 2025. "Resolving stakeholder conflicts in high-speed railway route planning: An overlapping network and evolutionary game approach," Socio-Economic Planning Sciences, Elsevier, vol. 102(C).
    5. Elżbieta Szaruga & Elżbieta Załoga & Arkadiusz Drewnowski & Paulina Dąbrosz-Drewnowska, 2023. "Convergence of Energy Intensity of the Export of Goods by Rail Transport: Linkages with the Spatial Integration and Economic Condition of Countries," Energies, MDPI, vol. 16(9), pages 1-24, April.

  7. Akihiro Otsuka, 2021. "A new approach to inter‐regional network externalities in Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 1051-1067, June.

    Cited by:

    1. Akihiro Otsuka, 2025. "An assessment of the borrowed size effect on the regional innovation system in Japan: a stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(4), pages 1-23, December.

  8. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.

    Cited by:

    1. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    2. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    3. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).

  9. Akihiro Otsuka, 2020. "Inter‐regional networks and productive efficiency in Japan," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 115-133, February.

    Cited by:

    1. Xionghe Qin & Dong Zhang & Debin Du, 2025. "Understanding the Impact of Spatial Externalities on Two-Stage R&D Efficiency: Empirical Evidence from 285 Chinese Prefecture-Level Cities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 8308-8342, June.
    2. Akihiro Otsuka, 2025. "An assessment of the borrowed size effect on the regional innovation system in Japan: a stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(4), pages 1-23, December.

  10. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.

    Cited by:

    1. Mike Churchill & David Bristow & Curran Crawford, 2024. "Increasing earthquake resilience for the power grid in southwestern British Columbia: integrated disaster planning for the shift from fuel to electric vehicles," 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. 120(11), pages 9957-9976, September.
    2. Akihiro Otsuka, 2022. "Assessment of the improvement in energy intensity by the new high-speed railway in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 267-282, February.
    3. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    4. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    5. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    6. Wang, Yang & Liu, Yongzhang & Huang, Liqiao & Zhang, Qingyu & Gao, Wei & Sun, Qian & Li, Xi, 2022. "Decomposition the driving force of regional electricity consumption in Japan from 2001 to 2015," Applied Energy, Elsevier, vol. 308(C).
    7. Fu-Chuan Lai, 2019. "Special feature in honor of Shin-Kun Peng," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 757-759, October.
    8. Huang, Liqiao & Liao, Qi & Qiu, Rui & Liang, Yongtu & Long, Yin, 2021. "Prediction-based analysis on power consumption gap under long-term emergency: A case in China under COVID-19," Applied Energy, Elsevier, vol. 283(C).

  11. Akihiro Otsuka, 2018. "Dynamics of agglomeration, accessibility, and total factor productivity: evidence from Japanese regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(7), pages 611-627, October.

    Cited by:

    1. Yusuke ADACHI & Hikaru OGAWA & Masafumi TSUBUKU, 2022. "Crises and changes in productivity distributions: a regional perspective in Japan," Discussion papers 22041, Research Institute of Economy, Trade and Industry (RIETI).
    2. Akihiro Otsuka, 2022. "Assessment of the improvement in energy intensity by the new high-speed railway in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 267-282, February.
    3. Akihiro Otsuka, 2024. "Impacts of enhancing regional network economies on regional productivity and productive efficiency in Japan: evaluation from stochastic frontier analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 25-43, March.
    4. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    5. Guowei Lyu & Luca Bertolini & Karin Pfeffer, 2020. "Is Labour Productivity Higher in Transit Oriented Development Areas? A Study of Beijing," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 652-670, September.
    6. Akihiro Otsuka, 2021. "A new approach to inter‐regional network externalities in Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 1051-1067, June.

  12. Mika Goto & Amani Mohammed Atris & Akihiro Otsuka, 2018. "Productivity change and decomposition analysis of Japanese regional economies," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1537-1547, November.

    Cited by:

    1. Ryo Ishida & Mika Goto, 2024. "Integrated Efficiency of Japan’s 47 Prefectures Incorporating Sustainability Factors," Energies, MDPI, vol. 17(8), pages 1-21, April.
    2. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    3. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    4. Tomikawa, Tadaaki & Goto, Mika, 2022. "Efficiency assessment of Japanese National Railways before and after privatization and divestiture using data envelopment analysis," Transport Policy, Elsevier, vol. 118(C), pages 44-55.

  13. Akihiro Otsuka & Mika Goto, 2018. "Regional determinants of energy intensity in Japan: the impact of population density," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 257-278, August.

    Cited by:

    1. Chaoyi Chen & Mehmet Pinar & Rocío Román-Collado, 2024. "Green Innovation and Energy Efficiency: Moderating Effect of Institutional Quality Based on the Threshold Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(12), pages 3063-3094, December.
    2. Yahya Algül & Deniz Erenel, 2024. "The Impact of R&D Expenditures on Regional Energy Intensity in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 546-557, September.
    3. Akihiro Otsuka, 2022. "Assessment of the improvement in energy intensity by the new high-speed railway in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 267-282, February.
    4. Zhi Li & Ruyi Yan & Zuo Zhang & Yue Sun & Xiaogang Zhang, 2021. "The Effects of City-County Mergers on Urban Energy Intensity: Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 18(16), pages 1-24, August.
    5. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    6. Jin, Taeyoung, 2022. "Impact of heat and electricity consumption on energy intensity: A panel data analysis," Energy, Elsevier, vol. 239(PA).
    7. Chen, Xiaohui & Zhang, Hongwei & Cheng, Xiang, 2025. "How does FinTech affect power consumption intensity in China?," The Quarterly Review of Economics and Finance, Elsevier, vol. 102(C).
    8. Sabrina Miswa & Fitri Kartiasih, 2025. "Nexus between rural poverty and environmental quality: empirical evidence from Indonesia," Asia-Pacific Journal of Regional Science, Springer, vol. 9(1), pages 57-81, March.
    9. Mustafa Naimoglu & İsmail Kavaz & Ahmed Ihsan Simsek, 2024. "Effects of foreign direct investment, economic integration, industrialization and economic growth on energy intensity: case of India," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 333-354, March.
    10. Xiang Cheng & Xiaohui Chen, 2024. "The digital economy and power consumption: empirical analysis based on consumption intensity in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19755-19777, August.
    11. Darwanto Darwanto & Nenik Woyanti & Purbayu Budi Santosa & Hadi Sasana & Imam Ghozali, 2019. "The Damaging Growth: An Empiric Evidence of Environmental Kuznets Curve in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 339-345.
    12. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    13. Wang, Xia & Ding, Chao & Zhou, Mao & Cai, Weiguang & Ma, Xianrui & Yuan, Jiachen, 2023. "Assessment of space heating consumption efficiency based on a household survey in the hot summer and cold winter climate zone in China," Energy, Elsevier, vol. 274(C).

  14. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.

    Cited by:

    1. Belayet Hossain, 2025. "Does Government Environmental Expenditure Reduce Residential Energy Consumption in Canada? Evidence from Provincial Panel Data," Sustainability, MDPI, vol. 17(13), pages 1-19, July.
    2. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    3. Xiaoliang Wang & Yong Kang & Mengda Zhang & Miao Yuan & Deng Li, 2018. "The Effects of the Downstream Contraction Ratio of Organ-Pipe Nozzle on the Pressure Oscillations of Self-Resonating Waterjets," Energies, MDPI, vol. 11(11), pages 1-12, November.
    4. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
    5. Sofia Tsemekidi Tzeiranaki & Paolo Bertoldi & Francesca Diluiso & Luca Castellazzi & Marina Economidou & Nicola Labanca & Tiago Ribeiro Serrenho & Paolo Zangheri, 2019. "Analysis of the EU Residential Energy Consumption: Trends and Determinants," Energies, MDPI, vol. 12(6), pages 1-27, March.
    6. Wang, Xia & Ding, Chao & Cai, Weiguang & Luo, Lizi & Chen, Mingman, 2021. "Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach," Energy, Elsevier, vol. 237(C).
    7. Forni, Lorenzo & Fortuna, Filippo & Giarda, Elena & Giovanardi, Francesco & Panarello, Demetrio, 2025. "The ‘Green buildings’ directive: A quantification of its costs and benefits in two Italian regions," Journal of Housing Economics, Elsevier, vol. 68(C).
    8. Wang, Xia & Ding, Chao & Zhou, Mao & Cai, Weiguang & Ma, Xianrui & Yuan, Jiachen, 2023. "Assessment of space heating consumption efficiency based on a household survey in the hot summer and cold winter climate zone in China," Energy, Elsevier, vol. 274(C).

  15. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.

    Cited by:

    1. Cai, Xinyu & Xiang, Hua & Akbari, Faeze, 2025. "Integrated sustainability perspective to interconnect circular economy, environmental development, and social status: designation of sustainable development spillovers," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    2. Zakarie Abdi Warsame & Maria Mohamed Ali & Liban Bile Mohamed & Farhia Hassan Mohamed, 2023. "The Causal Relation between Energy Consumption, Carbon Dioxide Emissions, and Macroeconomic Variables in Somalia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 102-110, May.
    3. Feng Dong & Bolin Yu & Yifei Hua & Shuaiqing Zhang & Yue Wang, 2018. "A Comparative Analysis of Residential Energy Consumption in Urban and Rural China: Determinants and Regional Disparities," IJERPH, MDPI, vol. 15(11), pages 1-19, November.
    4. Huiqin Jiang & Xiao Zhang & Xinxiao Shao & Jianqiang Bao, 2018. "How Do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?," Sustainability, MDPI, vol. 10(6), pages 1-12, June.
    5. Feng Dong & Bolin Yu & Jixiong Zhang, 2018. "What Contributes to Regional Disparities of Energy Consumption in China? Evidence from Quantile Regression-Shapley Decomposition Approach," Sustainability, MDPI, vol. 10(6), pages 1-26, May.

  16. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.

    Cited by:

    1. Yangming Hu & Yingjun Wu & Wei Zhou & Tao Li & Liqing Li, 2020. "A three-stage DEA-based efficiency evaluation of social security expenditure in China," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-12, February.
    2. Cheng, Zhonghua & Li, Xiang & Zhu, Yeman & Wang, Meixiao, 2023. "The effects of agglomeration externalities on urban green total-factor productivity in China," Economic Systems, Elsevier, vol. 47(2).
    3. Yusuke ADACHI & Hikaru OGAWA & Masafumi TSUBUKU, 2022. "Crises and changes in productivity distributions: a regional perspective in Japan," Discussion papers 22041, Research Institute of Economy, Trade and Industry (RIETI).
    4. Hongliang Miao & Hui Zhou, 2023. "Evaluation of county-level economic efficiency and its spatiotemporal differentiation in Hohhot-Baotou-Ordos-Yulin urban agglomeration in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    5. Nicholas Tsounis & Ian Steedman, 2021. "A New Method for Measuring Total Factor Productivity Growth Based on the Full Industry Equilibrium Approach: The Case of the Greek Economy," Economies, MDPI, vol. 9(3), pages 1-21, August.
    6. Juan Aparicio & Jose M. Cordero & Cristina Polo, 2026. "The measurement and decomposition of productivity change with environmental variables: a conditional nonparametric frontier analysis approach," Annals of Operations Research, Springer, vol. 359(3), pages 2351-2388, April.
    7. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    8. Tomasz Mickiewicz & Bach Nguyen, 2025. "‘In the company of cheerful ladies’: whether female entrepreneurs are more productive?," Small Business Economics, Springer, vol. 64(3), pages 837-861, March.
    9. Akihiro Otsuka, 2024. "Impacts of enhancing regional network economies on regional productivity and productive efficiency in Japan: evaluation from stochastic frontier analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 25-43, March.
    10. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    11. Kurt A. Hafner, 2020. "Diversity of industrial structure and economic stability: evidence from Asian gross value added," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 413-441, June.
    12. Arkadiusz Kijek & Tomasz Kijek, 2020. "Nonlinear Effects of Human Capital and R&D on TFP: Evidence from European Regions," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    13. Zhouyi Wu & Chuncao Wang & Bin He & Siying Yang, 2022. "State‐owned industrial enterprises' non‐R&D innovation and regional total factor productivity: An analysis based on the panel co‐integration method," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3338-3347, December.
    14. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    15. Thabet Khaled, 2025. "Agglomeration economies and regional growth in Tunisian coastal area: evidence from a spatial econometric model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(3), pages 1-33, September.
    16. Abdoulaye Kané & Nadine Levratto, 2026. "Heterogeneity in the productivity of French construction firms: a multilevel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(1), pages 1-25, March.

  17. Akihiro Otsuka & Mika Goto, 2016. "Total factor productivity and the convergence of disparities in Japanese regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 419-432, March.

    Cited by:

    1. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    2. Yusuke ADACHI & Hikaru OGAWA & Masafumi TSUBUKU, 2022. "Crises and changes in productivity distributions: a regional perspective in Japan," Discussion papers 22041, Research Institute of Economy, Trade and Industry (RIETI).
    3. Xiaoxi Wang & Yaojun Zhang & Danlin Yu & Xiwei Wu & Ding Li, 2022. "Changes in Demographic Factors’ Influence on Regional Productivity Growth: Empirical Evidence from China, 2000–2010," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    4. Kinfemichael, Bisrat & Morshed, A.K.M. Mahbub, 2019. "Convergence of labor productivity across the US states," Economic Modelling, Elsevier, vol. 76(C), pages 270-280.
    5. Mario Seffino & Germán González, 2025. "Regional institutions, political volatility and their impact on productivity: a Latin American perspective," International Economics and Economic Policy, Springer, vol. 22(2), pages 1-22, May.
    6. Akihiro Otsuka, 2024. "Impacts of enhancing regional network economies on regional productivity and productive efficiency in Japan: evaluation from stochastic frontier analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 25-43, March.
    7. Akihiro Otsuka, 2024. "Regional convergence of total factor productivity in Japanese industries: evidence from the twenty-first century industry data," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 165-184, March.
    8. Ryo Ishida & Mika Goto, 2024. "Integrated Efficiency of Japan’s 47 Prefectures Incorporating Sustainability Factors," Energies, MDPI, vol. 17(8), pages 1-21, April.
    9. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    10. Thabet Khaled, 2025. "Agglomeration economies and regional growth in Tunisian coastal area: evidence from a spatial econometric model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(3), pages 1-33, September.
    11. Rosa Ferrentino & Luca Vota, 2025. "A statistical-mathematical analysis of the macroeconomic effects of long-memory total factor productivity," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(6), pages 5795-5835, December.
    12. Ping Feng & Mahmut Yasar & Roderick M. Rejesus, 2024. "Innovation and regional economic convergence: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(2), pages 535-559, February.
    13. Akihiro Otsuka, 2021. "A new approach to inter‐regional network externalities in Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 1051-1067, June.

  18. Akihiro Otsuka & Mika Goto, 2015. "Agglomeration economies in Japanese industries: the Solow residual approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 401-416, March.

    Cited by:

    1. Ana Gouveia & Sílvia Santos & Marli Fernandes, 2017. "The empirics of agglomeration economies: the link with productivity," GEE Papers 0067, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Feb 2017.
    2. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    3. Wenwen Wang, 2021. "The heterogeneity of agglomeration effect: Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 52(1), pages 392-424, March.

  19. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.

    Cited by:

    1. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    2. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    3. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    4. Jamiu Ibrahim Aminu & Mohammed Shamwil & Ibrahim Abdullahi, 0000. "Energy Efficiency and Economic Growth in Nigeria: A Long-Run Perspective," Proceedings of Economics and Finance Conferences 15016577, International Institute of Social and Economic Sciences.
    5. Otrachshenko, Vladimir & Hartwell, Christopher A. & Popova, Olga, 2023. "Energy efficiency, market competition, and quality certification: Lessons from Central Asia," Energy Policy, Elsevier, vol. 177(C).
    6. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    7. Tingting Xiao & Zhong Liu, 2023. "Air Pollution and Enterprise Energy Efficiency: Evidence from Energy-Intensive Manufacturing Industries in China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    8. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).
    9. Mustafa Naimoglu & İsmail Kavaz & Ahmed Ihsan Simsek, 2024. "Effects of foreign direct investment, economic integration, industrialization and economic growth on energy intensity: case of India," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 333-354, March.
    10. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    11. Forni, Lorenzo & Fortuna, Filippo & Giarda, Elena & Giovanardi, Francesco & Panarello, Demetrio, 2025. "The ‘Green buildings’ directive: A quantification of its costs and benefits in two Italian regions," Journal of Housing Economics, Elsevier, vol. 68(C).
    12. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    13. Lester C. Hunt & Paraskevas Kipouros, 2023. "Energy Demand and Energy Efficiency in Developing Countries," Energies, MDPI, vol. 16(3), pages 1-26, January.
    14. Binghan Du & Jappar Juman & Aiymzhan Tulegenovna Makulova & Assel Valitkhanovna Khamzayeva & Xuan Zhai, 2024. "Analysis of the Competitiveness, Complementarity, and Trade Combination of Kazakhstan and China in the Oil and Gas Trade," Economies, MDPI, vol. 12(7), pages 1-14, July.

  20. Akihiro Otsuka, 2015. "Demand for industrial and commercial electricity: evidence from Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-11, December.

    Cited by:

    1. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    2. Max Resende & Juliano Leal & João Simoni, 2021. "Electricity demand in the iron ore industry: Evidence from Brazil," Economics Bulletin, AccessEcon, vol. 41(3), pages 929-937.
    3. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
    4. Mortha, Aline & Yajima, Naonari & Arimura, Toshi H., 2024. "Impact of the feed-in-tariff exemption on energy consumption in Japanese industrial plants," Japan and the World Economy, Elsevier, vol. 69(C).
    5. Naonari Yajima & Toshi H. Arimura, 2019. "Effectiveness of Multiple-Policy Instruments: Evidence from the Greenhouse Gas Reduction Policy in Japan," Working Papers 1916, Waseda University, Faculty of Political Science and Economics.
    6. Yasunobu Wakashiro, 2019. "Estimating price elasticity of demand for electricity: the case of Japanese manufacturing industry," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 173-191, January.
    7. Mortha, Aline & Arimura, Toshi H., 2024. "Purchase or generate? An analysis of inter-fuel substitution and electricity generation in Japanese manufacturing plants," Energy Economics, Elsevier, vol. 139(C).
    8. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.
    9. Wang, Nan & Mogi, Gento, 2017. "Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?," Energy Policy, Elsevier, vol. 106(C), pages 233-243.
    10. Dimitar Zlatinov & Nedko Kosev & Stoyan Shalamanov, 2022. "Regional Electricity Trade in South East Europe – Findings from a Panel Structural Gravity Model," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 3-18.
    11. Wang, Yang & Liu, Yongzhang & Huang, Liqiao & Zhang, Qingyu & Gao, Wei & Sun, Qian & Li, Xi, 2022. "Decomposition the driving force of regional electricity consumption in Japan from 2001 to 2015," Applied Energy, Elsevier, vol. 308(C).
    12. Akihiro Otsuka, 2024. "Price Elasticity of Electricity Consumption in Japan, 1990 to 2015," SAGE Open, , vol. 14(1), pages 21582440241, February.
    13. Mukherjee, Paramita & Mukherjee, Vivekananda & Das, Debasmita, 2017. "Estimating elasticity of import demand for gold in India," Resources Policy, Elsevier, vol. 51(C), pages 183-193.
    14. Najeem O. Bashiru & Sulaimon A. Lawal & Muideen A. Isiaka, 2024. "Determinants of Electricity Demand in Nigeria: A Non-Linear Autoregressive Distributed Lag (NARDL) Analysis," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 767-783, April.

  21. Akihiro Otsuka & Mika Goto, 2015. "Regional Policy and the Productive Efficiency of Japanese Industries," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 518-531, April.

    Cited by:

    1. Chong Liu & Haixin Huang & Jianfei Yang, 2025. "Can Land System Innovation Promote the Improvement of Green Land Use Efficiency in Urban Land—Evidence from China’s Pilot Reform of the Approval System for Urban Construction Land," Land, MDPI, vol. 14(4), pages 1-23, April.
    2. Preeya Mohan & Toshihiro Okubo & Eric Strobl, 2020. "Natural Disasters and Industrial Production Efficiency: Evidence from Prewar Japan," Keio-IES Discussion Paper Series 2020-006, Institute for Economics Studies, Keio University.
    3. Kurt A. Hafner, 2020. "Diversity of industrial structure and economic stability: evidence from Asian gross value added," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 413-441, June.
    4. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.

  22. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.

    Cited by:

    1. Wang, Jian & Du, Huanhuan & Lin, Kefu, 2025. "Substitution effects of high-speed railway on carbon mitigation: From theory to empirics," Energy Economics, Elsevier, vol. 142(C).
    2. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.
    3. Han Bao & Tangwei Teng & Xianzhong Cao & Shengpeng Wang & Senlin Hu, 2022. "The Threshold Effect of Knowledge Diversity on Urban Green Innovation Efficiency Using the Yangtze River Delta Region as an Example," IJERPH, MDPI, vol. 19(17), pages 1-18, August.
    4. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    5. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Xiaoling Zhang & Zhiwei Pan & Decai Tang & Zixuan Deng & Valentina Boamah, 2023. "Impact of Environmental Regulation and Industrial Agglomeration on Carbon Emissions in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    7. Zhaoxian Su & Yang Yang & Yun Wang & Pan Zhang & Xin Luo, 2023. "Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    8. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    9. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    10. Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    11. Zhang, Jian & Zhang, Wei & Song, Qi & Li, Xin & Ye, Xuanting & Liu, Yu & Xue, Yawei, 2020. "Can energy saving policies drive firm innovation behaviors? - Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    12. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
    13. Weiyi Kang & Jingjun Guo & Suisui Chen, 2025. "Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14641-14668, June.
    14. Jiang, Weijie & Ye, Mengke & Yang, Xingzhe, 2025. "Market access and firms’ energy intensity: Evidence from China’s highway construction," Journal of Asian Economics, Elsevier, vol. 99(C).
    15. Akihiro Otsuka & Mika Goto, 2018. "Regional determinants of energy intensity in Japan: the impact of population density," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 257-278, August.
    16. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    17. Shuaishuai Han & Changhong Miao, 2022. "Does a Polycentric Spatial Structure Help to Reduce Industry Emissions?," IJERPH, MDPI, vol. 19(13), pages 1-14, July.
    18. Wen, Yuyuan & Yu, Zilong & Xue, Jingjing & Liu, Yang, 2024. "How heterogeneous industrial agglomeration impacts energy efficiency subject to technological innovation:Evidence from the spatial threshold model," Energy Economics, Elsevier, vol. 136(C).
    19. Wang, Jian & Sun, Furong & Lv, Kangjuan & Wang, Lisha, 2022. "Industrial agglomeration and firm energy intensity: How important is spatial proximity?," Energy Economics, Elsevier, vol. 112(C).
    20. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    21. Zicheng Wang & Xiaoliang Zhou, 2023. "Can Innovation-Driven Policy Reduce China’s Carbon Emission Intensity?—A Quasi-Natural Experiment Based on the National Innovative City Pilot Policy," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    22. Weijie Jiang & Kairui Cao & Laiqun Jin & Yongyi Cheng & Qunfang Xu, 2022. "How Do China’s Development Zones Affect Environmental Pollution under Government Domination," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    23. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    24. Hui Peng & Yifan Wang & Yisha Hu & Hong Shen, 2020. "Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    25. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    26. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    27. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    28. Qing Liu & Jian Wang, 2022. "Spatial agglomeration and firm productivity: Does trade status matter?," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 5-18, November.
    29. Song, Yan & Liu, Congcong & Zhang, Ming, 2025. "Producer services agglomeration and energy efficiency enhancement: A serial mediation model with digital economy moderation," Energy, Elsevier, vol. 318(C).
    30. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    31. Rui Ding & Tao Zhou & Jian Yin & Yilin Zhang & Siwei Shen & Jun Fu & Linyu Du & Yiming Du & Shihui Chen, 2022. "Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China," IJERPH, MDPI, vol. 19(22), pages 1-20, November.

  23. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.

    Cited by:

    1. 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.
    2. Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    3. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies," Energy Economics, Elsevier, vol. 51(C), pages 329-345.
    4. Jin-chi Hsieh & Ching-cheng Lu & Ying Li & Yung-ho Chiu & Ya-sue Xu, 2019. "Environmental Assessment of European Union Countries," Energies, MDPI, vol. 12(2), pages 1-18, January.
    5. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for social sustainability in China," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    6. Heng Chen & Cheng Peng & Shuang Guo & Zhi Yang & Wei Lu, 2024. "A decision-support framework for industrial green transformation: empirical analysis of the northeast industrial district in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(4), pages 1917-1958, December.
    7. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    8. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    9. Liu, Yingnan & Wang, Ke, 2015. "Energy efficiency of China's industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis," Energy, Elsevier, vol. 93(P2), pages 1328-1337.
    10. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    11. Chia-Nan Wang & Hoang-Phu Nguyen & Cheng-Wen Chang, 2021. "Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    12. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    13. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    14. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2024. "Impact of environmental, energy and business efficiency on CO2 emissions: A composite indicator for emerging Asia-Pacific markets," Applied Energy, Elsevier, vol. 368(C).
    15. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    16. Fan Jianping & Yue Weizhen & Wu Meiqin, 2015. "Dealing with Interval DEA Based on Error Propagation and Entropy: A Case Study of Energy Efficiency of Regions in China Considering Environmental Factors," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 538-548, December.
    17. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    18. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    19. Jianbo Hu & Shanshan Gui & Wei Zhang, 2017. "Decoupling Analysis of China’s Product Sector Output and Its Embodied Carbon Emissions—An Empirical Study Based on Non-Competitive I-O and Tapio Decoupling Model," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    20. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    21. Liang-Han Ma & Jin-Chi Hsieh & Yung-Ho Chiu, 2020. "Comparing regional differences in global energy performance," Energy & Environment, , vol. 31(6), pages 943-960, September.
    22. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    23. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    24. Honma, Satoshi & Ushifusa, Yoshiaki & Taghizadeh-Hesary, Farhad & Okamura, Soyoka & Vandercammee, Lilu, 2024. "Environmental efficiency of Japanese regions before and after the Great East Japan Earthquake," MPRA Paper 120945, University Library of Munich, Germany.
    25. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement," Energy Economics, Elsevier, vol. 50(C), pages 125-139.
    26. Aneta Masternak‐Janus, 2022. "Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 603-618, June.
    27. Sueyoshi, Toshiyuki & Wang, Derek, 2018. "DEA environmental assessment on US petroleum industry: Non-radial approach with translation invariance in time horizon," Energy Economics, Elsevier, vol. 72(C), pages 276-289.
    28. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    29. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Investment strategy for sustainable society by development of regional economies and prevention of industrial pollutions in Japanese manufacturing sectors," Energy Economics, Elsevier, vol. 42(C), pages 299-312.
    30. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    31. Corsatea, Teodora Diana & Giaccaria, Sergio, 2018. "Market regulation and environmental productivity changes in the electricity and gas sector of 13 observed EU countries," Energy, Elsevier, vol. 164(C), pages 1286-1297.
    32. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Provincial energy efficiency of China quantified by three-stage data envelopment analysis," Energy, Elsevier, vol. 166(C), pages 96-107.
    33. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    34. Jie Tao & Weidong Cao & Yebing Fang & Yujie Liu & Xueyan Wang & Haipeng Wei, 2022. "Spatiotemporal Differences and Spatial Spillovers of China’s Green Manufacturing under Environmental Regulation," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    35. Wade D. Cook & Juan Du & Joe Zhu, 2017. "Units invariant DEA when weight restrictions are present: ecological performance of US electricity industry," Annals of Operations Research, Springer, vol. 255(1), pages 323-346, August.
    36. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    37. Sueyoshi, Toshiyuki & Goto, Mika, 2016. "Undesirable congestion under natural disposability and desirable congestion under managerial disposability in U.S. electric power industry measured by DEA environmental assessment," Energy Economics, Elsevier, vol. 55(C), pages 173-188.
    38. Si-Si Dong & Liang-Qun Qi & Jia-Quan Li, 2022. "Evaluation of the Implementation Effect of China’s Industrial Sector Supply-Side Reform: From the Perspective of Energy and Environmental Efficiency," Energies, MDPI, vol. 15(9), pages 1-17, April.
    39. Liu, Yaqin & Zhao, Guohao & Zhao, Yushan, 2016. "An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure," Energy Policy, Elsevier, vol. 96(C), pages 524-533.
    40. Danyu Liu & Ke Zhang, 2022. "Analysis of Spatial Differences and the Influencing Factors in Eco-Efficiency of Urban Agglomerations in China," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    41. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Japanese fuel mix strategy after disaster of Fukushima Daiichi nuclear power plant: Lessons from international comparison among industrial nations measured by DEA environmental assessment in time horizon," Energy Economics, Elsevier, vol. 52(PA), pages 87-103.
    42. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    43. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "Comparison among U.S. industrial sectors by DEA environmental assessment: Equipped with analytical capability to handle zero or negative in production factors," Energy Economics, Elsevier, vol. 52(PA), pages 69-86.
    44. Sueyoshi, Toshiyuki & Yuan, Yan & Li, Aijun & Wang, Daoping, 2017. "Methodological comparison among radial, non-radial and intermediate approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 67(C), pages 439-453.
    45. Ruiyue Lin & Zongxin Li, 2023. "Intertemporal environmental efficiency assessment in China: A new network-based dynamic super-efficiency measure," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-23, August.
    46. Xiao Gong & Xiaolin Zhang & Jieyi Tao & Hongbo Li & Yunrui Zhang, 2022. "An Evaluation of the Development Performance of Small County Towns and Its Influencing Factors: A Case Study of Small Towns in Jiangyin City in the Yangtze River Delta, China," Land, MDPI, vol. 11(7), pages 1-22, July.
    47. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    48. Geng Peng & Xiaodan Zhang & Fang Liu & Lijuan Ruan & Kaiyou Tian, 2021. "Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8974-8990, June.
    49. Xiaochun Zhao & Laichun Long & Qun Sun & Wei Zhang, 2022. "How to Evaluate Investment Efficiency of Environmental Pollution Control: Evidence from China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
    50. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    51. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations," Energy Economics, Elsevier, vol. 56(C), pages 270-287.
    52. Yue Zhao & Jorge Antunes & Yong Tan & Peter Wanke, 2024. "Demographic efficiency drivers in the Chinese energy production chain: A hybrid neural multi‐activity network data envelopment analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1762-1780, April.
    53. Changfeng Shi & Xinhui Liu & Min Gu & Qinghua Pang & Zhen Shi, 2021. "Evaluation of the impact of energy utilization and PM on respiratory health in China," Energy & Environment, , vol. 32(3), pages 380-402, May.
    54. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    55. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    56. Sueyoshi, Toshiyuki & Wang, Derek, 2014. "Radial and non-radial approaches for environmental assessment by Data Envelopment Analysis: Corporate sustainability and effective investment for technology innovation," Energy Economics, Elsevier, vol. 45(C), pages 537-551.
    57. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    58. Sueyoshi, Toshiyuki & Wang, Derek, 2014. "Sustainability development for supply chain management in U.S. petroleum industry by DEA environmental assessment," Energy Economics, Elsevier, vol. 46(C), pages 360-374.
    59. Honma, Satoshi & Hu, Jin-Li, 2014. "A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions," Energy, Elsevier, vol. 78(C), pages 732-739.
    60. Hui Hou & Siwei Yang & Minghao Zhang, 2023. "The impact of anti‐corruption on environmental governance efficiency in China: A study based on spatial effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4452-4465, December.
    61. Yuan, Qianqian & Fang Chin Cheng, Charles & Wang, Jiayu & Zhu, Tian-Tian & Wang, Ke, 2020. "Inclusive and sustainable industrial development in China: An efficiency-based analysis for current status and improving potentials," Applied Energy, Elsevier, vol. 268(C).
    62. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    63. Tan, Xiujie & Xiao, Ziwei & Liu, Yishuang & Taghizadeh-Hesary, Farhad & Wang, Banban & Dong, Hanmin, 2022. "The effect of green credit policy on energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

  24. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2010. "Industrial agglomeration effects in Japan: Productive efficiency, market access, and public fiscal transfer," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 819-840, November.

    Cited by:

    1. Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    2. Yi Ren & Yuan Tian & Chengqiu Zhang, 2022. "Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12467-12493, November.
    3. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.
    4. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    5. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    6. Maria El Khdari & Babacar Sarr, 2018. "Decentralization, spending efficiency and pro-poor outcomes in Morocco," CERDI Working papers halshs-01774949, HAL.
    7. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.
    8. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).
    9. Hanna Li & Yu Chen, 2025. "Polluting Industry Agglomeration, Environmental Regulation, and Urban Air Quality," Sustainability, MDPI, vol. 17(4), pages 1-21, February.
    10. Akihiro Otsuka & Mika Goto, 2016. "Total factor productivity and the convergence of disparities in Japanese regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 419-432, March.
    11. Rouven E. Haschka & Helmut Herwartz & Clara Silva Coelho & Yabibal M. Walle, 2023. "The impact of local financial development and corruption control on firm efficiency in Vietnam: evidence from a geoadditive stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 60(2), pages 203-226, October.
    12. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    13. Preeya Mohan & Toshihiro Okubo & Eric Strobl, 2020. "Natural Disasters and Industrial Production Efficiency: Evidence from Prewar Japan," Keio-IES Discussion Paper Series 2020-006, Institute for Economics Studies, Keio University.
    14. Xiaohu Li & Xigang Zhu & Jianshu Li & Chao Gu, 2021. "Influence of Different Industrial Agglomeration Modes on Eco-Efficiency in China," IJERPH, MDPI, vol. 18(24), pages 1-23, December.
    15. Chen, Xu & Xu, Huilin & Zhang, Liang & Cao, Huiping, 2022. "Spatial functional division, infrastructure and carbon emissions: Evidence from China," Energy, Elsevier, vol. 256(C).
    16. Liu, Xiping & Zhang, Xiaoling & Sun, Wen, 2022. "Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry?," Land Use Policy, Elsevier, vol. 120(C).
    17. Ángel M. Prieto & José L. Zofío & Inmaculada Álvarez, 2015. "Cost economies, urban patterns and population density: The case of public infrastructure for basic utilities," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 795-816, November.
    18. Kurt A. Hafner, 2020. "Diversity of industrial structure and economic stability: evidence from Asian gross value added," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 413-441, June.
    19. José Contreras & Andrés Santeliz & Oscar Carvallo, 2012. "Patterns of technical efficiency in the Venezuelan manufacturing sector (2007)," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 37(34), pages 121-137, july-dece.
    20. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    21. Akihiro Otsuka & Mika Goto, 2015. "Regional Policy and the Productive Efficiency of Japanese Industries," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 518-531, April.
    22. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    23. Hirofumi Fukuyama & Atsuo Hashimoto & Kaoru Tone & William L. Weber, 2018. "Does human capital or physical capital constrain output in Japanese prefectures?," Empirical Economics, Springer, vol. 54(2), pages 379-393, March.
    24. Akihiro Otsuka & Mika Goto, 2015. "Agglomeration economies in Japanese industries: the Solow residual approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 401-416, March.
    25. Kyoji FUKAO & Victoria KRAVTSOVA & Kentaro NAKAJIMA, 2011. "How Important is Geographical Agglomeration to Factory Efficiency in Japan's Manufacturing Sector?," Discussion papers 11076, Research Institute of Economy, Trade and Industry (RIETI).
    26. Song, Yan & Liu, Congcong & Zhang, Ming, 2025. "Producer services agglomeration and energy efficiency enhancement: A serial mediation model with digital economy moderation," Energy, Elsevier, vol. 318(C).
    27. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    28. Kraftova Ivana & Chladek Tomas & Minarik Jakub, 2011. "Do Globalisation and Economic Cycles Reduce the Sector Inequality of Supra-Regions?," European Spatial Research and Policy, Sciendo, vol. 18(2), pages 111-127, November.

  25. Akihiro Otsuka, 2008. "Determinants of new firm formation in Japan: A comparison of the manufacturing and service sectors," Economics Bulletin, AccessEcon, vol. 18(5), pages 1-7.

    Cited by:

    1. Zheng, Liang & Zhao, Zhong, 2017. "What Drives Spatial Clusters of Entrepreneurship in China? Evidence from Economic Census Data," GLO Discussion Paper Series 127, Global Labor Organization (GLO).
    2. Othmane FAHIM & Salma NAAMANE, 2021. "Macroeconomic Factors and Birth of New Businesses in Developing Countries: Evidence from a Dynamic System GMM Approach," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 6(1), pages 61-69, June.
    3. Maryiam Haroon & Azam Chaudhry, 2021. "Where to Locate? The Correlation Between Spatial Proximity and Location Choice of New Firms: The Case of Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 35(2), pages 187-208, June.
    4. Marcus Dejardin, 2010. "La création d'entreprises et ses rapports au territoire," Post-Print halshs-00618267, HAL.
    5. Dalina-Maria Andrei, 2021. "Determinants of New Companies’ Formation in Romania at Regional Level. A Fixed Effects Model (FEM) Approach," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 18-27, August.
    6. Maryiam Haroon, 2013. "The Effects of Agglomeration on the Formation and Scale of Operation of New Firms," CREB Working papers 3-2013, Centre for Research in Economics and Business, The Lahore School of Economics, revised 2013.
    7. Nobuo Kobayashi, 2020. "A factor analysis of business start-up rates in Japan: contemporary and historical context," Discussion Paper Series 202, School of Economics, Kwansei Gakuin University.
    8. Yinhao Wu & Shumin Yu & Xiangdong Duan, 2021. "The Impact of Environmental Regulation on the Location of Pollution-Intensive Industries in China under Agglomeration Effect," IJERPH, MDPI, vol. 18(8), pages 1-14, April.
    9. Azam Chaudhry & Marjan Nasir & Maryiam Haroon, 2012. "The Birth of Exporters: Entry and Scale of Firms in Punjab’s Export Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(Special E), pages 191-212, September.
    10. Theresa Thompson Chaudhry & Mahvish Faran, 2015. "Organization, Management, and Wage Practices in Pakistan’s Electrical Fan and Readymade Garment Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 20(Special E), pages 183-204, September.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.