Abstract
In the course of China’s rapid economic development, the coexistence of industrial development and dominant industrial agglomeration (AGG), along with growing environmental problems, has attracted widespread attention from scholars. Although the linear relationship between the two has been analyzed in depth in the research literature, a concomitant phenomenon, i.e., the gradual expansion in the scale of foreign direct investment (FDI), has been overlooked. By employing threshold panel regression model, this paper attempts to construct a theoretical model with embedded AGG and FDI, and incorporates other factors affecting environmental pollution (POL). For examining the mechanism of AGG on POL, we proposed a testable theoretical hypothesis, and conducted an empirical study by combining panel data of POL and AGG at the provincial level in China. The measurement index of a control variable was changed to check the robustness of our results, and the coefficient sign of each explanatory variable was not changed, confirming the robustness of main results. Overall, AGG improves regional POL, but the impact of FDI is stage-specific and roughly there are three stages. Specifically, the positive effect of AGG on POL is strong when FDI is at a low level. When the level of FDI crosses the first threshold and continues to rise, the positive effect of AGG on POL reaches its strongest; until the second threshold is crossed, the positive effect of AGG starts diminishing slowly. Concluding this, for promoting economic development and environmental protection in the region in parallel, government and enterprises should prioritize the increment in FDI, with an equalization of levels of AGG and FDI, in order to enhance the improvement effect of AGG on POL.
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Data Availability
The datasets are available on reasonable request.
Abbreviations
- AGG:
-
industrial agglomeration
- AHP:
-
analytic hierarchy process
- CBES:
-
China Bureau of Environmental Statistics
- CIES:
-
China Industrial Economic Statistics Yearbook
- FDI:
-
foreign direct investment
- FE:
-
fixed effects model
- GDP:
-
gross domestic product
- GMM:
-
generalized moment estimation
- LQ:
-
location entropy
- POL:
-
environmental pollution
- REG:
-
environmental regulation level
- SEM:
-
structural equation modeling
- STR:
-
industrial structure
- TEC:
-
technological level
References
Abdo AB, Li B, Zhang X, Lu J, Rasheed A (2020) Influence of FDI on environmental pollution in selected Arab countries: a spatial econometric analysis perspective. Environ Sci Pollut Res 27:28222–28246. https://doi.org/10.1007/s11356-020-08810-4
Amiti M (2005) Location of vertically linked industries: agglomeration versus comparative advantage. Eur Econ Rev 49(4):809–832. https://doi.org/10.1016/j.euroecorev.2002.12.001
An T, Xu C, Liao X (2021) The impact of FDI on environmental pollution in China: evidence from spatial panel data. Environ Sci Pollut Res 1-13. https://doi.org/10.1007/s11356-021-13903-9
Berman E, Bui LT (2001) Environmental regulation and labor demand: evidence from the south coast air basin. J Public Econ 79(2):265–295. https://doi.org/10.1016/S0047-2727(99)00101-2
Bulus GC, Koc S (2021) The effects of FDI and government expenditures on environmental pollution in Korea: the pollution haven hypothesis revisited. Environ Sci Pollut Res 1-16. https://doi.org/10.1007/s11356-021-13462-z
Cheung KY, Ping L (2004) Spillover effects of FDI on innovation in China: evidence from the provincial data. China Econ Rev 15(1):25–44. https://doi.org/10.1016/S1043-951X(03)00027-0
Copeland BR, Taylor MS (2001) International trade and the environment: a framework for analysis (No. w8540). NBER. https://doi.org/10.3386/w8540
Dianchun J, Yu Z (2008) Institutional constraints on FDI productivity spillovers: the case of China. Econ Res J 7:26–38
Drucker J, Feser E (2012) Regional industrial structure and agglomeration economies: an analysis of productivity in three manufacturing industries. Reg Sci Urban Econ 42(1-2):1–14. https://doi.org/10.1016/j.regsciurbeco.2011.04.006
Gan T, Yang H, Liang W, Liao X (2021) Do economic development and population agglomeration inevitably aggravate haze pollution in China? New evidence from spatial econometric analysis. Environ Sci Pollut Res 28(5):5063–5079. https://doi.org/10.1007/s11356-020-10847-4
Hansen BE (1999) Threshold effects in non-dynamic panels: estimation, testing, and inference. J Econ 93(2):345–368. https://doi.org/10.1016/S0304-4076(99)00025-1
Huang C, Wang JW, Wang CM, Cheng JH, Dai J (2021) Does tourism industry agglomeration reduce carbon emissions? Environ Sci Pollut Res 1-16. https://doi.org/10.1007/s11356-021-12706-2
Krugman P (1991) Increasing returns and economic geography. J Polit Econ 99(3):483–499. https://doi.org/10.1086/261763
Lanoie P, Patry M, Lajeunesse R (2008) Environmental regulation and productivity: testing the porter hypothesis. J Prod Anal 30(2):121–128. https://doi.org/10.1007/s11123-008-0108-4
Li YG, Zhang P (2013) Have industrial agglomeration aggravated regional environmental pollution-Chinese provincial level empirical evidence. J Huazhong Univ Sci Technol Social Sci 27:05–97. (in Chinese. https://doi.org/10.19648/j.cnki.jhustss1980.2013.05.017
Li WN, Yang YF, Wang ZZ (2010) Manufacturing agglomeration, air pollution and energy-saving and emission-reduction——an empirical analysis based on the statistics of 30 manufacturing industries. J Econ Manag:9. (in Chinese. https://doi.org/10.19616/j.cnki.bmj.2010.09.009
Li F, Sun X, Zhang L (2017) Industrial agglomeration, technological innovation and environmental pollution: empirical study based on industrial panel data of China. Technol Econ 3:1–7
Mert M, Caglar AE (2020) Testing pollution haven and pollution halo hypotheses for Turkey: a new perspective. Environ Sci Pollut Res 27(26):32933–32943. https://doi.org/10.1007/s11356-020-09469-7
Nadeem AM, Ali T, Khan MT, Guo Z (2020) Relationship between inward FDI and environmental degradation for Pakistan: an exploration of pollution haven hypothesis through ARDL approach. Environ Sci Pollut Res 1-19:15407–15425. https://doi.org/10.1007/s11356-020-08083-x
Shen N, Wang Y, Wang Q (2013) WA study on agglomeration externality and spatial convergence of carbon productivity. China Pop Res Environ 23(12):40–47
Tan J, Zhang Y (2015) Bonus of industrial agglomeration or reappearance of “pollution haven”? Based on the evidence in Guangdong Province. Res Eco Manag 06:82–89. (in Chinese. https://doi.org/10.13502/j.cnki.issn1000-7636.2015.06.011
Tao CQ, Zhou W (2016) A study of nonlinear association and spillover effect of technology innovation and industrial structure upgrading under element agglomeration. J Contemp Finance Econ (1):83–94. (in Chinese. https://doi.org/10.13676/j.cnki.cn36-1030/f.2016.01.009
Verhoef ET, Nijkamp P (2002) Externalities in urban sustainability: environmental versus localization-type agglomeration externalities in a general spatial equilibrium model of a single-sector monocentric industrial city. Ecol Econ 40(2):157–179. https://doi.org/10.1016/S0921-8009(01)00253-1
Virkanen J (1998) Effect of urbanization on metal deposition in the bay of Töölönlahti, Southern Finland. Mar Pollut Bull 36(9):729–738. https://doi.org/10.1016/S0025-326X(98)00053-8
Walter I, Ugelow JL (1979) Environmental policies in developing countries. Ambio.:102–109 https://www.jstor.org/stable/4312437
Wang B, Nie X (2016) Industrial agglomeration and environmental governance: the power or resistance: evidence from a quasi-natural experiment of establishment of the development zone. Chin Ind Econ 12:75–89. (in Chinese. https://doi.org/10.19581/j.cnki.ciejournal.2016.12.006
Wang Q, Wang L (2021) The nonlinear effects of population aging, industrial structure, and urbanization on carbon emissions: a panel threshold regression analysis of 137 countries. J Clean Prod 287:125381. https://doi.org/10.1016/j.jclepro.2020.125381
Wang F, Yeap SP (2021) Using magneto-adsorbent for methylene Blue removal: a decision-making via analytical hierarchy process (AHP). J Water Proc Eng 40:101948. https://doi.org/10.1016/j.jwpe.2021.101948
Wei Z, Cui Z (2007) FDI and manufacturing agglomeration in China: evidence of 20 industries. Econ Res J 11 (in Chinese)
Xia HX, Tan HM, Shang LY (2017) Structural adjustment effect of industry collaborative cluster under informal environmental regulation-based on the empirical tests with the static Fama-MacBeth estimation and GMM model. Soft Sci 4:9–14. https://doi.org/10.13956/j.ss.1001-8409.2017.04.03
Xiaole L (2014) An empirical analysis based on marketization, industrial agglomeration and environmental pollution. Stat Res 8:39–45. (in Chinese. https://doi.org/10.19343/j.cnki.11-1302/c.2014.08.006
Xi-ping LIU, San-hua S (2016) The effect and evolution rule of urban industrial agglomeration on urban environment-based on test from 2003 to 2013. J Guizhou Uni Finance Eco 34(5):90 http://gcxb.gufe.edu.cn/EN/Y2016/V34/I5/90
Yan FZ, Su L, Qiao J (2011) The exploration of the relationship between the industrial agglomeration’s developments and the environmental pollution—the evidence from the manufacturing in China. Stud Sci Sci:1. (in Chinese. https://doi.org/10.16192/j.cnki.1003-2053.2011.01.010
Yang RF (2015) Industrial agglomeration, foreign direct investment and environmental pollution. Econ Manag 37:11–19. (in Chinese. https://doi.org/10.19616/j.cnki.bmj.2015.02.004
Yingming Z, Bin Y, Xiaoli Z, Feng Z (2011) The study of industrial agglomeration dilemma: review and outlook. Aust Econ Rev 2. https://doi.org/10.19361/j.er.2011.02.017
Yong J (2015) Does geographic agglomeration of production factors influence industrial structure change. Stat Res 08. (in Chinese. https://doi.org/10.19343/j.cnki.11-1302/c.2015.08.007
Yu J, Zhao C, Ming L (2006) Industry agglomeration in China: economic geography, new economic geography and policy. Econ Res J 4:79–89 (in Chinese)
Zeng DZ, Zhao L (2009) Pollution havens and industrial agglomeration. J Environ Econ Manag 58(2):141–153. https://doi.org/10.1016/j.jeem.2008.09.003
Zhang K, Dou J (2013) Research and agglomeration mechanism and pollution. Chin J Popul Sci 5:105–116 (in Chinese)
Zhang K, Wang DF (2014) The interaction and spatial spillover between agglomeration and pollution. Chin Ind Eco 6:70–82. (in Chinese. https://doi.org/10.19581/j.cnki.ciejournal.2014.06.007
Zhang K, Xu D, Li S (2019) The impact of environmental regulation on environmental pollution in China: an empirical study based on the synergistic effect of industrial agglomeration. Environ Sci Pollut Res 26(25):25775–25788. https://doi.org/10.1007/s11356-019-05854-z
Zhou M, Wang S (2018) Is industrial agglomeration the “killer” that leads to regional environmental pollution? Evidence from Beijing, Tianjin and Hebei. Eco Sys Ref 5:185–190 (in Chinese)
Zihui Y, Lei T (2017) A panel co-integration analysis of the pollution haven hypothesis and its determinants in China. J World Econ 40(05):148–172 (in Chinese)
Funding
This work is supported by funding from the National Natural Science Foundation of China, under Grant Nos. 71663014, 72041028 and 71963012.
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This collaboration work was carried out by all the authors. LS proposed the original idea and wrote the original draft. DH performed all empirical analysis and modelling. DH and LS prepared the figures. DH and WJ wrote some parts of the manuscript. LS and RS supervised and reviewed the manuscript. All authors read and approved the final submitted version of the manuscript.
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Shijie, L., Hou, D., Jin, W. et al. Impact of industrial agglomeration on environmental pollution from perspective of foreign direct investment—a panel threshold analysis for Chinese provinces. Environ Sci Pollut Res 28, 58592–58605 (2021). https://doi.org/10.1007/s11356-021-14823-4
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DOI: https://doi.org/10.1007/s11356-021-14823-4