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2023 | 14 | 4 | 1139-1173

Article title

Paths to low-carbon development in China: The role of government environmental target constraints

Content

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Abstracts

EN
Research background: To achieve the targets for carbon peak and air quality improvement, local governments should propose environmental targets and develop realization paths that are tailored to their unique local conditions. They then promote low-carbon development through the implementation of multiple measures. Purpose of the article: As the government performance appraisal system im-proves, the question arises as to whether governments take the initiative to com-bine environmental policies with government target constraints to reduce carbon emissions. Methods: The announcement of environmental target constraints by local governments in government work reports is considered a quasi-natural experiment. This study examines the effect of government environmental target constraints (GETC) on carbon emissions (CEs) using differences-in-differences (DID), propensity score matching-DID (PSM-DID), and spatial-DID (SDID) with data from 241 Chinese cities from 2003 to 2019. Findings & value added: The results demonstrate that GETC can effectively reduce local CEs, with the inhibitory effect being most effective in the first two years after setting environmental targets, but diminishing in the third year. GETC can reduce local CEs through three paths: reducing energy consumption, promoting industrial structure optimization, and encouraging green technology innovation. Spatial spillover effects show that GETC reduces local CEs while exacerbating CEs in neighboring cities, indicating a beggar-thy-neighbor effect in conventional environmental regulation policy. This effect is observed mainly in the geographic matrix and the economic-geographic matrix, but not in the economic matrix. According to heterogeneity analysis, GETC in the eastern and central cities can significantly reduce CEs. The inhibitory effect of GETC on local CEs is stronger in cities where secretaries and mayors have longer tenures and higher levels of education. The paper's theoretical value lies in exploring the reduction of CEs through the combination of government self-restraint and environmental policies, providing a new solution for local governments to achieve CEs reduction. Furthermore, it offers practical insights into the improvement of the Chinese government assessment system.

Year

Volume

14

Issue

4

Pages

1139-1173

Physical description

Dates

published
2023

Contributors

author
  • Northeastern University
author
  • Beijing Normal University
author
  • Sichuan University
  • Hungarian University of Agriculture and Life Sciences
  • Hungarian University of Agriculture and Life Sciences
author
  • Hubei University

References

  • Aşici, A. A., & Acar, S. (2018). How does environmental regulation affect production location of non-carbon ecological footprint. Journal of Cleaner Production, 178, 927–936.
  • Bai, J., Lu, J., & Li, S. (2019). Fiscal pressure, tax competition and environmental pollution. Environmental and Resource Rconomics, 73, 431–447.
  • Bai, T., Qi, Y., Li, Z., & Xu, D. (2023). Digital economy, industrial transformation and upgrading, and spatial transfer of carbon emissions: The paths for low-carbon transformation of Chinese cities. Journal of Environmental Management, 344, 118528.
  • Brodny, J., & Tutak, M. (2023). The level of implementing sustainable development goal "Industry, innovation and infrastructure" of Agenda 2030 in the European Union countries: Application of MCDM methods. Oeconomia Copernicana, 14(1), 47–102.
  • Chen, Y., Fan, Z., Gu, X., & Zhou, L. A. (2020). Arrival of young talent: The send-down movement and rural education in China. American Economic Review, 110(11), 3393–3430.
  • Dong, Z., He, Y., Wang, H., & Wang, L. (2020). Is there a ripple effect in environmental regulation in China?–Evidence from the local-neighborhood green technology innovation perspective. Ecological Indicators, 118, 106773.
  • Feng, T., Du, H., Lin, Z., & Zuo, J. (2020). Spatial spillover effects of environmental regulations on air pollution: Evidence from urban agglomerations in China. Journal of Environmental Management, 272, 110998.
  • Gray, W. B. (1987). The cost of regulation: OSHA, EPA and the productivity slowdown. American Economic Review, 77(5), 998–1006.
  • Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. Quarterly Journal of Economics, 110(2), 353–377.
  • Gu, Y., Ho, K. C., Xia, S., & Yan, C. (2022). Do public environmental concerns promote new energy enterprises' development? Evidence from a quasi-natural experiment. Energy Economics, 109, 105967.
  • Hu, W., & Wang, D. (2020). How does environmental regulation influence China’s carbon productivity? An empirical analysis based on the spatial spillover effect. Journal of Cleaner Production, 257, 120484.
  • Jiang, Q., & Ma, X. (2021). Spillovers of environmental regulation on carbon emissions network. Technological Forecasting and Social Change, 169, 120825.
  • Li, Z., Bai, T., & Tang, C. (2022). How does the low-carbon city pilot policy affect the synergistic governance efficiency of carbon and smog? Quasi-experimental evidence from China. Journal of Cleaner Production, 373, 133809.
  • Lin, Y., Huang, R., & Yao, X. (2021). Air pollution and environmental information disclosure: An empirical study based on heavy polluting industries. Journal of Cleaner Production, 278, 124313.
  • Liu, X., Duan, Z., Shan, Y., Duan, H., Wang, S., & Song, J. (2019). Low-carbon developments in Northeast China: Evidence from cities. Applied Energy, 236, 1019–1033.
  • Meng, H., Huang, X., Yang, H., Chen, Z., Yang, J., Zhou, Y., & Li, J. (2019). The influence of local officials' promotion incentives on carbon emission in Yangtze River Delta, China. Journal of Cleaner Production, 213, 1337–1345.
  • Nie, Y., Li, Q., Wang, E., & Zhang, T. (2019). Study of the nonlinear relations between economic growth and carbon dioxide emissions in the Eastern, Central and Western regions of China. Journal of Cleaner Production, 219, 713–722.
  • Oda, T., & Maksyutov, S. (2011). A very high-resolution (1 km× 1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics, 11(2), 543–556.
  • Ouyang, X., Fang, X., Cao, Y., & Sun, C. (2020). Factors behind CO2 emission reduction in Chinese heavy industries: do environmental regulations matter? Energy Policy, 145, 111765.
  • Pei, Y., Zhu, Y., Liu, S., Wang, X., & Cao, J. (2019). Environmental regulation and carbon emission: The mediation effect of technical efficiency. Journal of Cleaner Production, 236, 117599.
  • Peña, I., Andrade, S. M., Muñoz, R. M., & Martínez, I. (2023). A grouping of the Sustainable Development Goals (SDGs) and their influence on business results: An analysis for Spanish companies. Oeconomia Copernicana, 14(2), 551–583.
  • Peng, H., Shen, N., Ying, H., & Wang, Q. (2021). Can environmental regulation directly promote green innovation behavior?- Based on situation of industrial agglomeration. Journal of Cleaner Production, 314, 128044.
  • Porter, M. E., & Linde, C. V. D. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118.
  • Qi, Y., Bai, T., & Tang, Y. (2022). Central environmental protection inspection and green technology innovation: Empirical analysis based on the mechanism and spatial spillover effects. Environmental Science and Pollution Research, 29(57), 86616–86633.
  • Sánchez García, J., & Galdeano Gómez, E. (2023). What drives the preferences for cleaner energy? Parametrizing the elasticities of environmental quality demand for greenhouse gases. Oeconomia Copernicana, 14(2), 449–482
  • Shi, C., Shi, Q., & Guo, F. (2019). Environmental slogans and action: The rhetoric of local government work reports in China. Journal of Cleaner Production, 238, 117886.
  • Sinn, H. W. (2008). Public policies against global warming: A supply side approach. International Tax and Public Finance, 15, 360–394.
  • Song, Z. (2021). Economic growth and carbon emissions: Estimation of a panel threshold model for the transition process in China. Journal of Cleaner Production, 278, 123773.
  • Song, W., Mao, H., & Han, X. (2021). The two-sided effects of foreign direct investment on carbon emissions performance in China. Science of the Total Environment, 791, 148331.
  • Van der Ploeg, F., & Withagen, C. (2012). Is there really a green paradox? Journal of Environmental Economics and Management, 64(3), 342–363.
  • Van der Werf, E., & Di Maria, C. (2012). Imperfect environmental policy and polluting emissions: The green paradox and beyond. International Review of Environmental and Resource Economics, 6(2), 153–194.
  • Wang, J., & Lei, P. (2021). The tournament of Chinese environmental protection: Strong or weak competition? Ecological Economics, 181, 106888.
  • Wang, X., Su, Z., & Mao, J. (2023). How does haze pollution affect green technology innovation? A tale of the government economic and environmental target constraints. Journal of Environmental Management, 334, 117473.
  • Wang, Y., & Shen, N. (2016). Environmental regulation and environmental productivity: The case of China. Renewable and Sustainable Energy Reviews, 62, 758–766.
  • Wen, H., & Lee, C. C. (2020). Impact of fiscal decentralization on firm environmental performance: Evidence from a county-level fiscal reform in China. Environmental Science and Pollution Research, 27(29), 36147–36159.
  • Wenbo, G., & Yan, C. (2018). Assessing the efficiency of China’s environmental regulation on carbon emissions based on Tapio decoupling models and GMM models. Energy Reports,, 4, 713–723.
  • Wu, L., Sun, L., Qi, P., Ren, X., & Sun, X. (2021). Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions. Resources Policy, 74, 102329.
  • Xie, L., Li, Z., Ye, X., & Jiang, Y. (2021). Environmental regulation and energy investment structure: Empirical evidence from China's power industry. Technological Forecasting and Social Change, 167, 120690.
  • Xu, L., Fan, M., Yang, L., & Shao, S. (2021). Heterogeneous green innovations and carbon emission performance: Evidence at China's city level. Energy Economics, 99, 105269.
  • Yan, Z., Zhou, Z., & Du, K. (2023). How does environmental regulatory stringency affect energy consumption? Evidence from Chinese firms. Energy Economics, 106503.
  • Yu, Y., & Zhang, N. (2021). Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China. Energy Economics, 96, 105125.
  • Zhang H., Dai, J., & Zhang, J. (2017). Policy uncertainty, official heterogeneity and total factor productivity of firms. Economic Trends, 08, 49–61.
  • Zhang, L., Wang, Q., & Zhang, M. (2021). Environmental regulation and CO2 emissions: Based on strategic interaction of environmental governance. Ecological Complexity, 45, 100893.
  • Zhang, W., Li, G., Uddin, M. K., & Guo, S. (2020). Environmental regulation, foreign investment behavior, and carbon emissions for 30 provinces in China. Journal of Cleaner Production, 248, 119208.
  • Zhao, J., Jiang, Q., Dong, X., & Dong, K. (2020a). Would environmental regulation improve the greenhouse gas benefits of natural gas use? A Chinese case study. Energy Economics, 87, 104712.
  • Zhao, X., Liu, C., Sun, C., & Yang, M. (2020b). Does stringent environmental regulation lead to a carbon haven effect? Evidence from carbon-intensive industries in China. Energy Economics, 86, 104631.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
39830406

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_oc_2023_034
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