Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries

Citations

Cited by:

1. 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.
2. Shuaishuai Han & Changhong Miao, 2022. "Does a Polycentric Spatial Structure Help to Reduce Industry Emissions?," IJERPH, MDPI, vol. 19(13), pages 1-14, July.
3. 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).
4. 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).
5. 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.
6. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
7. 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.
8. 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.
9. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
10. 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).
11. 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.
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. 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.
14. 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.
15. 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.
16. 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.
17. 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).
18. 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).
19. 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).
20. 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.
21. 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).
22. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
23. 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.
24. 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.
25. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
26. 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.
27. 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.