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NonLinear Effects of Environmental Regulation on Eco-Efficiency under the Constraint of Land Use Carbon Emissions: Evidence Based on a Bootstrapping Approach and Panel Threshold Model

Author

Listed:
  • Haoran Yang

    (College of Public Administration, Nanjing Agricultural University, Nanjing 250030, China)

  • Hao Zheng

    (College of Public Administration, Nanjing Agricultural University, Nanjing 250030, China)

  • Hongguang Liu

    (College of Public Administration, Nanjing Agricultural University, Nanjing 250030, China)

  • Qun Wu

    (College of Public Administration, Nanjing Agricultural University, Nanjing 250030, China)

Abstract

Eco-efficiency has been receiving attention worldwide, and the effective implementation of environmental regulations (ERs) has become crucial to regional eco-efficiency. This paper uses a method combining mixed directional distance function and bootstrapping approach to investigate the spatial and temporal distribution characteristics of eco-efficiency under the constraint of land use carbon emission in China from 2004 to 2016. The nonlinear relationship between ER and eco-efficiency is observed with a panel threshold model. Results from empirical tests reveal that eco-efficiency in China during the study period has an upward trend, and the spatial and temporal distribution of eco-efficiency is unbalanced and concentrated. Technical innovation and land marketization (LM) shows double threshold, whereas industrial structure (IS) has a single threshold effect. LM has a promotional effect on eco-efficiency, which differs in the promotion before and after promotion across the threshold value. Reasonable ER can reduce cost by stimulating the innovation of green production technology and achieves a win-win situation between environment and output. This finding further verifies that the ER for eco-efficiency under the constraint of land use carbon emission conforms to the Porter hypothesis. The effect of ER on eco-efficiency changes from negative to positive with the increase of IS level. Adjusting the ownership structure and increasing the proportion of green achievements in the promotion and assessment of officials are important measures in the upgrading of eco-efficiency.

Suggested Citation

  • Haoran Yang & Hao Zheng & Hongguang Liu & Qun Wu, 2019. "NonLinear Effects of Environmental Regulation on Eco-Efficiency under the Constraint of Land Use Carbon Emissions: Evidence Based on a Bootstrapping Approach and Panel Threshold Model," IJERPH, MDPI, vol. 16(10), pages 1-20, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1679-:d:230913
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    as
    1. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Arik Levinson & M. Scott Taylor, 2008. "Unmasking The Pollution Haven Effect," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 223-254, February.
    4. Manuel Frondel & Jens Horbach & Klaus Rennings, 2007. "End‐of‐pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries," Business Strategy and the Environment, Wiley Blackwell, vol. 16(8), pages 571-584, December.
    5. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 147-168, Winter.
    6. Xie, Rong-hui & Yuan, Yi-jun & Huang, Jing-jing, 2017. "Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China," Ecological Economics, Elsevier, vol. 132(C), pages 104-112.
    7. Laplante, Benoit & Rilstone, Paul, 1996. "Environmental Inspections and Emissions of the Pulp and Paper Industry in Quebec," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 19-36, July.
    8. repec:clg:wpaper:2008-02 is not listed on IDEAS
    9. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    10. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    11. Yingli Lou & Liyin Shen & Zhenhua Huang & Ya Wu & Heng Li & Guijun Li, 2018. "Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice," IJERPH, MDPI, vol. 15(7), pages 1-21, June.
    12. Zhang, Zhaoguo & Jin, Xiaocui & Yang, Qingxiang & Zhang, Yi, 2013. "An empirical study on the institutional factors of energy conservation and emissions reduction: Evidence from listed companies in China," Energy Policy, Elsevier, vol. 57(C), pages 36-42.
    13. Juanjuan Qin & Yuhui Zhao & Liangjie Xia, 2018. "Carbon Emission Reduction with Capital Constraint under Greening Financing and Cost Sharing Contract," IJERPH, MDPI, vol. 15(4), pages 1-32, April.
    14. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
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    Cited by:

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    2. Jie Zhang & Yajing Wang & Jiangfeng Li, 2023. "Maximize Eco-Economic Benefits with Minimum Land Resources Input: Evaluation and Evolution of Land Use Eco-Efficiency of Agglomerations in Middle Reaches of Yangtze River, China," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
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    4. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    5. Yuanhua Yang & Zhongwen Peng & Dengli Tang, 2024. "The impact of heterogeneous environmental regulations on carbon neutrality in China: New evidence based on the spatial measurement model," Energy & Environment, , vol. 35(3), pages 1456-1478, May.
    6. Yinhao Wu & Changhong Miao & Jianming Miao & Yan Zhang, 2020. "How Does Environmental Regulation Affect the Location of New Polluting Firms? Exploring the Agglomeration Threshold of Effective Environmental Regulation," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
    7. Yu Zhang & Wenliang Geng & Pengyan Zhang & Erling Li & Tianqi Rong & Ying Liu & Jingwen Shao & Hao Chang, 2020. "Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    8. Qiuyue Xia & Lu Li & Bin Zhang & Jie Dong, 2022. "Nonlinear Influence of Land-Use Transition on Carbon Emission Transfer: A Threshold Regression Analysis of the Middle Reaches of the Yangtze River in China," Land, MDPI, vol. 11(9), pages 1-24, September.
    9. Qiao Chen & Yan Mao & Alastair M. Morrison, 2021. "Impacts of Environmental Regulations on Tourism Carbon Emissions," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    10. Xu Dong & Yali Yang & Qinqin Zhuang & Weili Xie & Xiaomeng Zhao, 2022. "Does Environmental Regulation Help Mitigate Factor Misallocation?—Theoretical Simulations Based on a Dynamic General Equilibrium Model and the Perspective of TFP," IJERPH, MDPI, vol. 19(6), pages 1-21, March.
    11. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.

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