IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v187y2023ics1364032123005919.html
   My bibliography  Save this article

How do regulatory environmental policies perform? A case study of China's Top-10,000 enterprises energy-saving program

Author

Listed:
  • Shi, Xunpeng
  • Tian, Binbin
  • Yang, Longjian
  • Yu, Jian
  • Zhou, Siyang

Abstract

Even before China's commitment to carbon neutrality and peak in September 2020, many programs had been implemented to save energy. One such program was the “Action Plan for Energy Conservation and Low-Carbon for Ten Thousand Enterprises” (hereafter Top-10,000 Enterprises Energy-Saving Program, or Top-10,000 Program, or Program) launched in 2011, which targets high energy users. The official assessment of this program, which began during China's 12th Five Year Plan period (2011–2015), claimed that it had achieved its goals. However, there has been no precise measurement of how much it has contributed to China's total energy conservation achievements and how enterprises responded to it. Employing the regression discontinuity design approach and Chinese taxation survey data, this study represents a pioneering attempt to assess the energy savings resulting from this program. Our study estimates that this program accounted for an average of 5.8% of nationwide energy savings. The primary methods employed by enterprises to save energy were enhancing energy efficiency and dynamically adjusting production scale. The results of our study suggest that regulatory environmental policies should not be hindered by short-term scale effects. Instead, further innovations are required to minimize the cost of energy savings.

Suggested Citation

  • Shi, Xunpeng & Tian, Binbin & Yang, Longjian & Yu, Jian & Zhou, Siyang, 2023. "How do regulatory environmental policies perform? A case study of China's Top-10,000 enterprises energy-saving program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:rensus:v:187:y:2023:i:c:s1364032123005919
    DOI: 10.1016/j.rser.2023.113734
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032123005919
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2023.113734?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yoichi Arai & Hidehiko Ichimura, 2018. "Simultaneous selection of optimal bandwidths for the sharp regression discontinuity estimator," Quantitative Economics, Econometric Society, vol. 9(1), pages 441-482, March.
    2. Fiorillo, Damiano & Sapio, Alessandro, 2019. "Energy saving in Italy in the late 1990s: Which role for non-monetary motivations?," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    3. Bugni, Federico A. & Canay, Ivan A., 2021. "Testing continuity of a density via g-order statistics in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 221(1), pages 138-159.
    4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    5. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    8. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    9. Hongshan Ai & Yang Hu & Ke Li, 2021. "Impacts of environmental regulation on firm productivity: evidence from China’s Top 1000 Energy-Consuming Enterprises Program," Applied Economics, Taylor & Francis Journals, vol. 53(7), pages 830-844, February.
    10. Chen, Zhongfei & Zhang, Xiao & Chen, Fanglin, 2021. "Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    11. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    12. Stephie Fried, 2018. "Climate Policy and Innovation: A Quantitative Macroeconomic Analysis," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 90-118, January.
    13. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," CERT Discussion Papers 0706, Centre for Economic Reform and Transformation, Heriot Watt University.
    14. World Bank, "undated". "State and Trends of Carbon Pricing 2020 [Situación y tendencias de la fijación del precio al carbono 2020]," World Bank Publications - Reports 33809, The World Bank Group.
    15. Cheng, Dong & Shi, Xunpeng & Yu, Jian, 2021. "The impact of green energy infrastructure on firm productivity: Evidence from the Three Gorges Project in China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 385-406.
    16. Risch, Anna, 2020. "Are environmental fiscal incentives effective in inducing energy-saving renovations? An econometric evaluation of the French energy tax credit," Energy Economics, Elsevier, vol. 90(C).
    17. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    18. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    19. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    20. Wang, Han & Chen, Zhoupeng & Wu, Xingyi & Nie, Xin, 2019. "Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? —Empirical analysis based on the PSM-DID method," Energy Policy, Elsevier, vol. 129(C), pages 930-938.
    21. Li, Xiaoyu & Yao, Xilong, 2020. "Can energy supply-side and demand-side policies for energy saving and emission reduction be synergistic?--- A simulated study on China's coal capacity cut and carbon tax," Energy Policy, Elsevier, vol. 138(C).
    22. Tziogas, Charalampos & Papadopoulos, Agis & Georgiadis, Patroklos, 2021. "Policy implementation and energy-saving strategies for the residential sector: The case of the Greek Energy Refurbishment program," Energy Policy, Elsevier, vol. 149(C).
    23. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    24. Coria, Jessica & Kyriakopoulou, Efthymia, 2018. "Environmental policy, technology adoption and the size distribution of firms," Energy Economics, Elsevier, vol. 72(C), pages 470-485.
    25. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    26. Nie, Hongguang & Zhou, Ting & Lu, Haiyan & Huang, Shupeng, 2021. "Evaluation of the efficiency of Chinese energy-saving household appliance subsidy policy: An economic benefit perspective," Energy Policy, Elsevier, vol. 149(C).
    27. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    28. Komendantova, Nadejda & Neumueller, Sonata & Nkoana, Elvis, 2021. "Public attitudes, co-production and polycentric governance in energy policy," Energy Policy, Elsevier, vol. 153(C).
    29. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
    30. Xinyue Hao & Fanglin Chen & Zhongfei Chen, 2022. "Does green innovation increase enterprise value?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1232-1247, March.
    31. Lawrence, Akvile & Karlsson, Magnus & Nehler, Therese & Thollander, Patrik, 2019. "Effects of monetary investment, payback time and firm characteristics on electricity saving in energy-intensive industry," Applied Energy, Elsevier, vol. 240(C), pages 499-512.
    32. Salamon, Lester M. & Siegfried, John J., 1977. "Economic Power and Political Influence: The Impact of Industry Structure on Public Policy," American Political Science Review, Cambridge University Press, vol. 71(3), pages 1026-1043, September.
    33. Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
    34. Yu, Jian & Fu, Jiasha, 2021. "Credit rationing, innovation, and productivity: Evidence from small- and medium-sized enterprises in China," Economic Modelling, Elsevier, vol. 97(C), pages 220-230.
    35. 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).
    36. Zhang, Dongyang, 2021. "Green credit regulation, induced R&D and green productivity: Revisiting the Porter Hypothesis," International Review of Financial Analysis, Elsevier, vol. 75(C).
    37. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    38. Fanghella, Valeria & Ploner, Matteo & Tavoni, Massimo, 2021. "Energy saving in a simulated environment: An online experiment of the interplay between nudges and financial incentives," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    2. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    3. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    4. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    5. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2022. "Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design," Resources Policy, Elsevier, vol. 75(C).
    6. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    7. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    8. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    9. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
    10. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    11. Takahide Yanagi, 2014. "The Effect of Measurement Error in the Sharp Regression Discontinuity Design," KIER Working Papers 910, Kyoto University, Institute of Economic Research.
    12. Myung Hwan Seo & Yoichi Arai & Taisuke Otsu, 2021. "Regression Discontinuity Design with Potentially Many Covariates," Working Paper Series no142, Institute of Economic Research, Seoul National University.
    13. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    14. Angelo D'Andrea, 2019. "Mayor’s wage and Public procurement," BAFFI CAREFIN Working Papers 19125, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    15. Xiaowei Kong & Deng-Kui Si & Haiyang Li & Dongmin Kong, 2021. "Does access to credit reduce SMEs’ tax avoidance? Evidence from a regression discontinuity design," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
    16. YANAGI, Takahide & 柳, 貴英, 2015. "Regression Discontinuity Designs with Nonclassical Measurement Error," Discussion Papers 2015-09, Graduate School of Economics, Hitotsubashi University.
    17. Yiqi Liu & Yuan Qi, 2023. "Using Forests in Multivariate Regression Discontinuity Designs," Papers 2303.11721, arXiv.org, revised Jul 2024.
    18. Onda, Masayuki & Seyler, Edward, 2020. "English learners reclassification and academic achievement: Evidence from Minnesota," Economics of Education Review, Elsevier, vol. 79(C).
    19. Cappelletti, Giuseppe & Ponte Marques, Aurea & Varraso, Paolo & Budrys, Žymantas & Peeters, Jonas, 2019. "Impact of higher capital buffers on banks’ lending and risk-taking: evidence from the euro area experiments," Working Paper Series 2292, European Central Bank.
    20. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:187:y:2023:i:c:s1364032123005919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

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