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Does industrial relocation impact green economic efficiency? Evidence from China’s energy-intensive industries

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  • Wang, Chonghao
  • Lin, Boqiang

Abstract

Utilizing the latest multi-regional input-output (MRIO) tables and spatial econometric model, this paper measures the inter-provincial relocations of energy-intensive industries (REI) in China and investigates its impact on regional green economic efficiency (RGE). The results indicate that the primary inflow areas of energy-intensive industries are northern coastal, central, and northwestern China, while the main outflow areas are southeastern coastal and southwestern China. The net inflow of energy-intensive industries negatively affects local RGE but positively affects neighboring provinces. However, at the national, REI contributes to improving the overall RGE. This improvement effect varies regionally and has been notably attenuated after the implementation of the Belt and Road Initiative (BRI). Additionally, this paper verifies that the crowding-out effect on R&D investment is an important channel through which REI affects RGE.

Suggested Citation

  • Wang, Chonghao & Lin, Boqiang, 2024. "Does industrial relocation impact green economic efficiency? Evidence from China’s energy-intensive industries," Research in International Business and Finance, Elsevier, vol. 70(PB).
    • Handle: RePEc:eee:riibaf:v:70:y:2024:i:pb:s0275531924001557
    DOI: 10.1016/j.ribaf.2024.102362
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    as
    1. Li, Mengna & Pan, Xiongfeng & Yuan, Sai, 2022. "Do the national industrial relocation demonstration zones have higher regional energy efficiency?," Applied Energy, Elsevier, vol. 306(PA).
    2. Tanaka, Kenta & Managi, Shunsuke, 2021. "Industrial agglomeration effect for energy efficiency in Japanese production plants," Energy Policy, Elsevier, vol. 156(C).
    3. Lin, Boqiang & Zhu, Junpeng, 2021. "Impact of China's new-type urbanization on energy intensity: A city-level analysis," Energy Economics, Elsevier, vol. 99(C).
    4. Qamri, Ghulam Muhammad & Sheng, Bin & Adeel-Farooq, Rana Muhammad & Alam, Gazi Mahabubul, 2022. "The criticality of FDI in Environmental Degradation through financial development and economic growth: Implications for promoting the green sector," Resources Policy, Elsevier, vol. 78(C).
    5. Feng, Tong & Du, Huibin & Zhang, Zengkai & Mi, Zhifu & Guan, Dabo & Zuo, Jian, 2020. "Carbon transfer within China: Insights from production fragmentation," Energy Economics, Elsevier, vol. 86(C).
    6. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
    7. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    8. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    9. Long, Ruyin & Chen, Hong & Li, Huijuan & Wang, Fei, 2013. "Selecting alternative industries for Chinese resource cities based on intra- and inter-regional comparative advantages," Energy Policy, Elsevier, vol. 57(C), pages 82-88.
    10. Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    11. Rodríguez-García, Martha del Pilar & Galindo-Manrique, Alicia Fernanda & Cortez-Alejandro, Klender Aimer & Méndez-Sáenz, Alma Berenice, 2022. "Eco-efficiency and financial performance in Latin American countries: An environmental intensity approach," Research in International Business and Finance, Elsevier, vol. 59(C).
    12. 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).
    13. Herzer, Dierk, 2022. "The impact on domestic CO2 emissions of domestic government-funded clean energy R&D and of spillovers from foreign government-funded clean energy R&D," Energy Policy, Elsevier, vol. 168(C).
    14. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    15. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    16. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    17. Wilfried Thuiller, 2007. "Climate change and the ecologist," Nature, Nature, vol. 448(7153), pages 550-552, August.
    18. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    19. Fan, Ruguo & Bao, Xuguang & Du, Kang & Wang, Yuanyuan & Wang, Yitong, 2022. "The effect of government policies and consumer green preferences on the R&D diffusion of new energy vehicles: A perspective of complex network games," Energy, Elsevier, vol. 254(PA).
    20. Cai, Hechang & Wang, Zilong & Zhang, Zhiwen & Xu, Xiaodi, 2023. "Carbon emission trading schemes induces technology transfer: Evidence from China," Energy Policy, Elsevier, vol. 178(C).
    21. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    22. Zheng, Xuemei & Wu, Chengkuan & He, Shijun, 2021. "Impacts of China's differential electricity pricing on the productivity of energy-intensive industries," Energy Economics, Elsevier, vol. 94(C).
    23. Zhang, Zhiyuan & Li, Runfei & Song, Yang & Sahut, Jean-Michel, 2024. "The impact of environmental regulation on the optimization of industrial structure in energy-based cities," Research in International Business and Finance, Elsevier, vol. 68(C).
    24. Zhao, Xiaoli & Yin, Haitao, 2011. "Industrial relocation and energy consumption: Evidence from China," Energy Policy, Elsevier, vol. 39(5), pages 2944-2956, May.
    25. Bárcena-Ruiz, Juan Carlos & Garzón, María Begoña & Sagasta, Amagoia, 2023. "Environmental corporate social responsibility, R&D and disclosure of “green” innovation knowledge," Energy Economics, Elsevier, vol. 120(C).
    26. Chen, Jie & Huang, Shoujun & Ajaz, Tahseen, 2022. "Natural resources management and technological innovation under EKC framework: A glimmer of hope for sustainable environment in newly industrialized countries," Resources Policy, Elsevier, vol. 79(C).
    27. Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
    28. Mao, Jie & Wang, Chunhua & Yin, Haitao, 2023. "Corporate responses to air quality regulation: Evidence from a regional environmental policy in China," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    29. Liu, Qingrui & Tang, Lu, 2022. "Research on the accelerating effect of green finance on the transformation of energy consumption in China," Research in International Business and Finance, Elsevier, vol. 63(C).
    30. Lv, Zhike & Liu, Wangxin & Xu, Ting, 2022. "Evaluating the impact of information and communication technology on renewable energy consumption: A spatial econometric approach," Renewable Energy, Elsevier, vol. 189(C), pages 1-12.
    31. 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).
    32. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
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