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Can China’s “Tax-for-Fee” Reform Improve Water Performance–Evidence from Hebei Province

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  • Lingyun He

    (College of Economics, Jinan University, Guangzhou 510632, China
    These authors contributed equally to this work.)

  • Kunxian Chen

    (College of Economics, Jinan University, Guangzhou 510632, China
    These authors contributed equally to this work.)

Abstract

Resource tax has been widely adopted in many countries. This paper evaluates the causal effect of reform of water resources tax on water resources performance in Hebei Province, China. By using the provincial panel data, we first measure the water resources performance of 21 provinces from 2008 to 2018 by considering the NDDF-ML method of undesirable output. We found that each province in China has gradually improved its water resources performance in the past 10 years, but there are great differences between regions. Then, we employ the synthetic control method, which allows us to consider the influence of unobservable time-varying factors to evaluate the policy effect. The results show that water performance index has increased significantly by 18.0%. The effect is mainly due to technological progress (17.3%) rather than technological efficiency (0.7%), which means no significant improvement in the allocation of water, and after placebo tests, our results are still robust. The DID approach shows a similar conclusion, but unobservable time-variation caused by other policies may lead to an overestimation of DID. In order to make good use of water resources, China should accelerate the reform of water resource taxes and pay more attention to the allocation of water resources.

Suggested Citation

  • Lingyun He & Kunxian Chen, 2021. "Can China’s “Tax-for-Fee” Reform Improve Water Performance–Evidence from Hebei Province," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13854-:d:702934
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    1. Junsong Wang & Yehua Dennis Wei, 2019. "Agglomeration, Environmental Policies and Surface Water Quality in China: A Study Based on a Quasi-Natural Experiment," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    2. Bueno, Matheus & Valente, Marica, 2019. "The effects of pricing waste generation: A synthetic control approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 96, pages 274-285.
    3. Luo, Renfu & Zhang, Linxiu & Huang, Jikun & Rozelle, Scott, 2007. "Elections, fiscal reform and public goods provision in rural China," Journal of Comparative Economics, Elsevier, vol. 35(3), pages 583-611, September.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Heerink, Nico & Qu, Futian & Kuiper, Marijke & Shi, Xiaoping & Tan, Shuhao, 2007. "Policy reforms, rice production and sustainable land use in China: A macro-micro analysis," Agricultural Systems, Elsevier, vol. 94(3), pages 784-800, June.
    6. Zhongfa Ma & Jianfu Zhao & Jiahui Ni, 2018. "Green Tax Legislation For Sustainable Development In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(04), pages 1059-1083, September.
    7. Fare, Rolf, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    8. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    9. Mushtaq, Shahbaz & Khan, Shahbaz & Dawe, David & Hanjra, Munir A. & Hafeez, Mohsin & Asghar, Muhammad Nadeem, 2008. "Evaluating the impact of Tax-for-Fee reform (Fei Gai Shui) on water resources and agriculture production in the Zhanghe Irrigation System, China," Food Policy, Elsevier, vol. 33(6), pages 576-586, December.
    10. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    11. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    12. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    13. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    14. Mushtaq, Shahbaz & Dawe, David & Lin, Hong & Moya, Piedad, 2006. "An assessment of the role of ponds in the adoption of water-saving irrigation practices in the Zhanghe Irrigation System, China," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 100-110, May.
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    1. Mingyi Yang & Muqi Zhou & Conglin Zhang, 2024. "Effectiveness evaluation of China’s water resource tax reform pilot and path optimization from the perspective of policy field," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-16, March.

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