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Research on the influence mechanism of fiscal and tax policy on green economic transition: from the perspective of industrial structure conduction effect

Author

Listed:
  • Rui Wang

    (Chongqing University)

  • Shilong Li

    (Chongqing University
    Chongqing University)

Abstract

As one of the most important macroeconomic regulation methods, fiscal and tax policy is supposed to play an active role in green economic transformation. Industrial structure optimization is a fundamental approach to address environmental problems, which has been fully demonstrated in the current studies. It is necessary to identify whether the fiscal and tax policy can promote the green economic transition through optimizing industrial structure. Taking property tax policy as an example, this paper investigates whether fiscal and tax policy promotes the green transformation of the urban economy from the perspective of industrial structure upgrading. The results show that the fiscal and tax policy implemented for a certain industry has a significant positive spillover effect on the optimization of the city's overall industrial structure. Scientific and reasonable fiscal and tax policy accelerates the intensive development of urban economy by promoting the upgrading of urban industry. These findings suggest that in terms of cities in the new and old kinetic energy transformation period, government should consider the upgrading of industrial structure in the formulation of fiscal and tax policy and attach great importance to the green development of urban economy.

Suggested Citation

  • Rui Wang & Shilong Li, 2024. "Research on the influence mechanism of fiscal and tax policy on green economic transition: from the perspective of industrial structure conduction effect," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 16129-16148, June.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03290-1
    DOI: 10.1007/s10668-023-03290-1
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    1. Zahoor Ahmed & Muhammad Mansoor Asghar & Muhammad Nasir Malik & Kishwar Nawaz, 2020. "Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China," Post-Print hal-03557938, HAL.
    2. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.
    5. Campello, Murillo & Graham, John R. & Harvey, Campbell R., 2010. "The real effects of financial constraints: Evidence from a financial crisis," Journal of Financial Economics, Elsevier, vol. 97(3), pages 470-487, September.
    6. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    7. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    8. Zhou, Ziqiao & Zhang, Lin, 2021. "Destructive destruction or creative destruction? Unraveling the effects of tropical cyclones on economic growth," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 380-393.
    9. Jianjun Miao & Pengfei Wang, 2018. "Asset Bubbles and Credit Constraints," American Economic Review, American Economic Association, vol. 108(9), pages 2590-2628, September.
    10. Muhammad, Sulaman & Pan, Yanchun & Agha, Mujtaba Hassan & Umar, Muhammad & Chen, Siyuan, 2022. "Industrial structure, energy intensity and environmental efficiency across developed and developing economies: The intermediary role of primary, secondary and tertiary industry," Energy, Elsevier, vol. 247(C).
    11. Richard Cebula, 2009. "Are Property Taxes Capitalized into Housing Prices in Savannah, Georgia? An Investigation of the Market Mechanism," Journal of Housing Research, Taylor & Francis Journals, vol. 18(1), pages 63-75, January.
    12. Alain Alcouffe & Thomas Kuhn, 2004. "Schumpeterian endogenous growth theory and evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 223-236, June.
    13. Juan Huang & Geoffrey Qiping Shen, 2017. "Residential housing bubbles in Hong Kong: identification and explanation based on GSADF test and dynamic probit model," Journal of Property Research, Taylor & Francis Journals, vol. 34(2), pages 108-128, April.
    14. 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.
    15. Kena Mi & Rulong Zhuang, 2022. "Producer Services Agglomeration and Carbon Emission Reduction—An Empirical Test Based on Panel Data from China," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    16. Ahmed, Zahoor & Asghar, Muhammad Mansoor & Malik, Muhammad Nasir & Nawaz, Kishwar, 2020. "Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China," Resources Policy, Elsevier, vol. 67(C).
    17. Cong Minh Huynh, 2020. "Shadow economy and air pollution in developing Asia: what is the role of fiscal policy?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(3), pages 357-381, July.
    18. Birgitta Rabe & Mark P. Taylor, 2012. "Differences in Opportunities? Wage, Employment and House-Price Effects on Migration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 831-855, December.
    19. Shanzi Ke & Ming He & Chenhua Yuan, 2014. "Synergy and Co-agglomeration of Producer Services and Manufacturing: A Panel Data Analysis of Chinese Cities," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1829-1841, November.
    20. Zhou, Bing & Zeng, Xiaoyan & Jiang, Lu & Xue, Bing, 2020. "High-quality Economic Growth under the Influence of Technological Innovation Preference in China: A Numerical Simulation from the Government Financial Perspective," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 163-172.
    21. Zameer, Hashim & Yasmeen, Humaira & Zafar, Muhammad Wasif & Waheed, Abdul & Sinha, Avik, 2020. "Analyzing the association between Innovation, Economic Growth, and Environment: Divulging the Importance of FDI and Trade Openness in India," MPRA Paper 101323, University Library of Munich, Germany, revised 2020.
    22. Feng Wang & Min Wu & Jiachen Hong, 2020. "Exploring the Effects of Industrial Structure, Technology, and Energy Efficiency on China’s Carbon Intensity and Their Contributions to Carbon Intensity Target," Sustainability, MDPI, vol. 12(19), pages 1-24, September.
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