IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v72y2021ics0301420721001409.html
   My bibliography  Save this article

Evaluation of the implementation effects and the influencing factors of resource tax in China

Author

Listed:
  • Ji, Yuhang
  • Lei, Yalin
  • Li, Li
  • Zhang, An
  • Wu, Sanmang
  • Li, Qun

Abstract

Analyzing a policy's implementation efficiency and the factors influencing it can help improve the policy. Because China's resource tax policy varies by province, it is more meaningful to consider the implementation efficiency from the provincial level. Using provincial panel data of China from 2009 to 2017, this study measures the efficiency of tax resource policies utilizing the slacks-based measure integrating the data envelopment analysis (SBM-DEA) method containing the undesired output. Then, the Tobit model is used to verify the factors affecting the efficiency. The results show that the annual average efficiency of resource tax in China is between 0.4 and 0.7, with obvious regional and provincial differences due to scale efficiency. However, the comprehensive efficiency of resource tax policies in most provinces is fluctuating and rising, indicating that resource tax policies can gradually play a role. Further examining the influencing factors shows that the pollution treatment cost, the proportion of secondary industry, and energy consumption have a significant positive effect on efficiency, while the level of economic development has an obvious negative effect. Finally, to formulate plans to fully leverage their tax advantages, all provincial governments should consider the differences in efficiency.

Suggested Citation

  • Ji, Yuhang & Lei, Yalin & Li, Li & Zhang, An & Wu, Sanmang & Li, Qun, 2021. "Evaluation of the implementation effects and the influencing factors of resource tax in China," Resources Policy, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721001409
    DOI: 10.1016/j.resourpol.2021.102126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420721001409
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2021.102126?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. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    2. Liu, Huihui & Chen, ZhanMing & Wang, Jianliang & Fan, Jihong, 2017. "The impact of resource tax reform on China's coal industry," Energy Economics, Elsevier, vol. 61(C), pages 52-61.
    3. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2018. "The impacts on CO2 emission reduction and haze by coal resource tax reform based on dynamic CGE model," Resources Policy, Elsevier, vol. 58(C), pages 268-276.
    4. Zhong, Meirui & Liu, Qing & Zeng, Anqi & Huang, Jianbai, 2018. "An effects analysis of China's metal mineral resource tax reform: A heterogeneous dynamic multi-regional CGE appraisal," Resources Policy, Elsevier, vol. 58(C), pages 303-313.
    5. Trachtman, Samuel, 2020. "What drives climate policy adoption in the U.S. states?," Energy Policy, Elsevier, vol. 138(C).
    6. Schumacher, Ingmar & Zou, Benteng, 2008. "Pollution perception: A challenge for intergenerational equity," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 296-309, May.
    7. 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.
    8. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    9. Han, Aiping & Ge, Jianping & Lei, Yalin, 2015. "An adjustment in regulation policies and its effects on market supply: Game analysis for China’s rare earths," Resources Policy, Elsevier, vol. 46(P2), pages 30-42.
    10. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    11. Vollebergh, Herman R.J., 2008. "Lessons from the polder: Energy tax design in The Netherlands from a climate change perspective," Ecological Economics, Elsevier, vol. 64(3), pages 660-672, January.
    12. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    13. Davide Antonioli & Simone Borghesi & Alessio D'Amato & Marianna Gilli & Massimiliano Mazzanti & Francesco Nicolli, 2014. "Analysing the Interactions of Energy and climate policies in a broad Policy ‘optimality’ framework. The Italian case study," SEEDS Working Papers 2514, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    14. Wang, Rong & Zameer, Hashim & Feng, Yue & Jiao, Zhilun & Xu, Li & Gedikli, Ayfer, 2019. "Revisiting Chinese resource curse hypothesis based on spatial spillover effect: A fresh evidence," Resources Policy, Elsevier, vol. 64(C).
    15. Lin, Boqiang & Jia, Zhijie, 2019. "How does tax system on energy industries affect energy demand, CO2 emissions, and economy in China?," Energy Economics, Elsevier, vol. 84(C).
    16. Groth, Christian & Schou, Poul, 2007. "Growth and non-renewable resources: The different roles of capital and resource taxes," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 80-98, January.
    17. Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    18. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    2. Alexey Bilgaev & Suocheng Dong & Erzhena Sadykova & Fujia Li & Arnold Tulokhonov & Anna Mikheeva & Valentin Batomunkuev, 2023. "Sustainability Assessment of Mineral Resource Sector Companies in Northern Asia (Russia): An Environmental and Socio-Economic Perspective," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    3. Wang, Jie & Liao, Xianchun & Yu, Yue, 2022. "The examination of resource tax reform facilitating firms’ green innovation in resource-related industry in China," Resources Policy, Elsevier, vol. 79(C).
    4. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).
    5. Yanhui Yin & Bowen Yang, 2023. "Environmental Protection or Development? Multiple Policy Effects Evaluation of the Resource Tax Collection Reform for Iron Ore Enterprises in China," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    6. Wang, Yuyan & Wu, Qinghua & Razi, Ummara, 2023. "Drivers and mitigants of resources consumption in China: Discovering the role of digital finance and environmental regulations," Resources Policy, Elsevier, vol. 80(C).
    7. Di Zhang & Xiao Dong, 2023. "From the Perspectives of Pollution Governance and Public Health: A Research of China’s Fiscal Expenditure on Energy Conservation and Environmental Protection," IJERPH, MDPI, vol. 20(11), pages 1-15, May.

    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. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).
    2. Jiang, Hong-Dian & Hao, Wen-Ting & Xu, Qing-Yang & Liang, Qiao-Mei, 2020. "Socio-economic and environmental impacts of the iron ore resource tax reform in China: A CGE-based analysis," Resources Policy, Elsevier, vol. 68(C).
    3. Li, Yuan & Zhou, You & Yi, Bo-Wen & Wang, Ya, 2021. "Impacts of the coal resource tax on the electric power industry in China: A multi-regional comprehensive analysis," Resources Policy, Elsevier, vol. 70(C).
    4. Song, Yi & Zhang, Yangxueying & Zhang, Yijun, 2022. "Economic and environmental influences of resource tax: Firm-level evidence from China," Resources Policy, Elsevier, vol. 77(C).
    5. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    6. Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    7. Ge, Jianping & Lei, Yalin, 2018. "Resource tax on rare earths in China: Policy evolution and market responses," Resources Policy, Elsevier, vol. 59(C), pages 291-297.
    8. Chia-Nan Wang & Hsien-Pin Hsu & Jing-Wein Wang & Yang-Chin Kao & Thi-Phuong Nguyen, 2020. "Strategic Alliance for Vietnam Domestic Real Estate Companies Using a Hybrid Approach Combining GM (1,1) with Super SBM DEA," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    9. Yongrok Choi & Hua Wen & Hyoungsuk Lee & Hang Yang, 2020. "Measuring Operational Performance of Major Chinese Airports Based on SBM-DEA," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    10. Linbo Zhang & Wenjing Xiang & Dongsheng Shi & Tian Liang & Xi Xiong & Shuyao Wu & Wentao Zhang & Duogui Yang, 2023. "Impact of Green Development Mechanism Innovation on Total-Factor Environmental Efficiency: A Quasi-Natural Experiment Based on National Pilot Cities," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    11. Feng Dong & Chang Qin & Xiaoyun Zhang & Xu Zhao & Yuling Pan & Yujin Gao & Jiao Zhu & Yangfan Li, 2021. "Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency," IJERPH, MDPI, vol. 18(24), pages 1-23, December.
    12. 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.
    13. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    14. Xiang Chen & Xuping Zhang & Xin Wu & Ching-Cheng Lu, 2022. "The environmental health and energy efficiency in China: A network slacks-based measure," Energy & Environment, , vol. 33(1), pages 170-188, February.
    15. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, February.
    17. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    19. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    20. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.

    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:jrpoli:v:72:y:2021:i:c:s0301420721001409. 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/locate/inca/30467 .

    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.