How do environmental regulation and foreign investment behavior affect green productivity growth in the industrial sector? An empirical test based on Chinese provincial panel data
Abstract
This study investigates the impact of environmental regulations (ERs) and foreign direct investment (FDI) on the green total factor productivity (GTFP) of the industrial sectors in 30 provinces in China by controlling human capital, technological innovation, energy structure, degree of opening up, and ownership structure for the period of 2004-2017. This not only helps to explain the influence path of ERs and FDI on green economic growth, but also effectively measures the moderating effect of ERs on technology spillover from FDI. The purpose of this paper is to explore the relationship between ERs, FDI and industrial GTFP from the perspective of regional heterogeneity, focusing on studying how ERs regulate the impact of FDI on GTFP. By constructing an influence mechanism of ERs and FDI on industrial GTFP, this study employs the feasible generalized least squares (FGLS) model and dynamic generalized method of moments (GMM) model to analyze the effects of ERs, FDI and their cross-terms on GTFP. The empirical results show that (1) the relationship between ERs and GTFP is not linear, but "U"-shaped and China is still in the left half of the "U"-shaped curve; (2) FDI flowing into China has a "pollution heaven" effect on the GTFP in the eastern and central regions while a "pollution halo" effect on the GTFP in the western region; (3) the strengthening of ERs weakens the negative effect of FDI on GTFP and plays a role in "screening" foreign investment; and (4) the spatial heterogeneity could affect the synergistic effect between ERs and FDI. Therefore, it is necessary for China to consider a series of environmental policies to "screen" inward FDI to ensure its move to a green economy benefits its own sustainable development by contributing to the increase in GTFP.
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Green finance highlights the operative use of capital.
“Equated with the conventional finance system, green finance highlights the operative use of capital [20], which establishes significant standards for measuring the efficiency of its actions.”
From Impact of green finance and fintech on sustainable economic growth: Empirical evidence from India (2023) · cites this paper as [20]
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“Studies suggest variations across cities regarding the number of resources used, the benefits to society and the economy, and environmental metrics influencing green growth [20].”
Background
- Authors
- Qiu, S., Wang, Z., & Geng, S.
- Affiliations
- Nanjing University of Aeronautics and Astronautics (CN)
- Henan Agricultural University (CN)
- Corresponding author
- Geng, Shuaishuai
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 287
- Pages
- 112282
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W3135668414
- Cited by
- 299
- References
- 51
- Citations by year
- 2026: 23 · 2025: 44 · 2024: 77 · 2023: 67 · 2022: 69 · 2021: 19
- FWCI
- 44.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Chinese National Funding of Social Sciences
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Social Sciences › Business, Management and Accounting › Strategy and Management › International Business and FDI
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Keywords
- environmental regulation, foreign direct investment, green total factor productivity, manufacturing industry, pollution haven effect, pollution halo effect, technology spillovers, moderating effect, screening effects, spatial heterogeneity, green economy, China
- MeSH terms
- China, Environmental Pollution, Humans, Industry, Investments, Internationality, Economic Development
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