Sequential growth of urban environmental efficiency: evidence from Chinese cities.
City size
Environmental efficiency
Sequential growth
Urbanization
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
09
05
2023
accepted:
24
09
2023
medline:
8
11
2023
pubmed:
5
10
2023
entrez:
5
10
2023
Statut:
ppublish
Résumé
We examined the relationship between city size and environmental efficiency and found sequential growth of environmental efficiency in 282 Chinese cities from 2003 to 2019 and also tested the mechanism of industrial transfer. The empirical results show that as the period advances, the relationship between the environmental efficiency of cities and the city size changes from an upward-sloping straight line to a "U-shaped" structure, indicating that the urbanization advantages of megacities are shifting to large or medium-sized cities. This shift is the result of the industrial transfer. The government should refrain from excessive market interventions in industrial shifts. Simultaneously, it should facilitate population mobility in large cities and enhance public services for medium-sized cities. Small cities undergoing population decline should not be hindered.
Identifiants
pubmed: 37796349
doi: 10.1007/s11356-023-30115-5
pii: 10.1007/s11356-023-30115-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110725-110743Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Andreoni J, Levinson A (2001) The simple analytics of the environmental Kuznets curve. J Public Econ 80(2):269–286. https://doi.org/10.1016/S0047-2727(00)00110-9
Bai J (2009) Panel data models with interactive fixed effects. Econometrica 77(4):1229–1279. https://doi.org/10.3982/ECTA6135
doi: 10.3982/ECTA6135
Ben Arfi W, Hikkerova L, Sahut J-M (2018) External knowledge sources, green innovation and performance. Technol Forecast Soc Chang 129:210–220. https://doi.org/10.1016/j.techfore.2017.09.017
doi: 10.1016/j.techfore.2017.09.017
Borck R, Schrauth P (2021) Population density and urban air quality. Reg Sci Urban Econ 86:103596
doi: 10.1016/j.regsciurbeco.2020.103596
Cao J, Karplus VJ (2014) Firm-level determinants of energy and carbon intensity in China. Energ Policy 75:167–178. https://doi.org/10.1016/j.enpol.2014.08.012
doi: 10.1016/j.enpol.2014.08.012
Chen L, Li Ke, Chen S, Wang X, Tang L (2021) Industrial activity, energy structure, and environmental pollution in China. Energ Econ 104:105633. https://doi.org/10.1016/j.eneco.2021.105633
doi: 10.1016/j.eneco.2021.105633
Chen S, Oliva P, Zhang P (2022) The effect of air pollution on migration: evidence from China. J Dev Econ 156:102833
doi: 10.1016/j.jdeveco.2022.102833
Chen Y, Shao S, Fan M, Tian Z, Yang L (2022b) One man’s loss is another’s gain: does clean energy development reduce CO2 emissions in China? Evidence based on the spatial Durbin model. EnergEcon 107:105852. https://doi.org/10.1016/j.eneco.2022.105852
doi: 10.1016/j.eneco.2022.105852
Cheng Z (2016) The spatial correlation and interaction between manufacturing agglomeration and environmental pollution. Ecol Ind 61:1024–1032. https://doi.org/10.1016/j.ecolind.2015.10.060
doi: 10.1016/j.ecolind.2015.10.060
Combes PP, Duranton G, Gobillon L (2019) The costs of agglomeration: house and land prices in French cities. Rev Econ Stud 86(4):1556–1589. https://doi.org/10.1093/restud/rdy063
doi: 10.1093/restud/rdy063
Cuberes D (2011) Sequential city growth: empirical evidence. J Urban Econ 69(2):229–239. https://doi.org/10.1016/j.jue.2010.10.002
doi: 10.1016/j.jue.2010.10.002
Dong F, Wang Y, Zheng Lu, Li J, Xie S (2019) Can industrial agglomeration promote pollution agglomeration? Evidence from China. J Clean Prod 246:118960
doi: 10.1016/j.jclepro.2019.118960
Duranton G, Puga D (2020) The economics of urban density. J Econ Perspect 34(3):3–26. https://doi.org/10.1257/jep.34.3.3
doi: 10.1257/jep.34.3.3
Fu S, Ma Z, Ni B, Peng J, Zhang L, Fu Q (2021) Research on the spatial differences of pollution-intensive industry transfer under the environmental regulation in China. Ecol Ind 129:107921. https://doi.org/10.1016/j.ecolind.2021.107921
doi: 10.1016/j.ecolind.2021.107921
Fujita M, Thisse J-F (2013) Economics of agglomeration: cities, industrial location, and globalization. Cambridge University Press, Cambridge
doi: 10.1017/CBO9781139051552
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
doi: 10.1007/s11356-020-10847-4
Glaeser EL, Kahn ME (2010) The greenness of cities: carbon dioxide emissions and urban development. J Urban Econ 67(3):404–418. https://doi.org/10.1016/j.jue.2009.11.006
doi: 10.1016/j.jue.2009.11.006
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 110(2):353–377. https://doi.org/10.2307/2118443
doi: 10.2307/2118443
Guo Q, Wang Y, Zhang Y, Yi M, Zhang T (2021) Environmental migration effects of air pollution: micro-level evidence from China. Environ Pollut 292:118263
doi: 10.1016/j.envpol.2021.118263
Guo X, Deng M, Wang X, Yang X (2023) Population agglomeration in Chinese cities: is it benefit or damage for the quality of economic development? Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-25220-4
doi: 10.1007/s11356-023-25220-4
Han J, Li S (2017) Internal migration and external benefit: the impact of labor migration on the Wage Structure in Urban China. Chin Econ Rev 46:67–86
Henderson JV, Venables AJ (2009) The dynamics of city formation. Rev Econ Dyn 12(2):233–254. https://doi.org/10.1016/j.red.2008.06.003
doi: 10.1016/j.red.2008.06.003
Hong Y, Lyu X, Chen Y, Li W (2020) Industrial agglomeration externalities, local governments’ competition and environmental pollution: evidence from Chinese prefecture-level cities. J Clean Prod 277:123455. https://doi.org/10.1016/j.jclepro.2020.123455
doi: 10.1016/j.jclepro.2020.123455
Li P-F, Bathelt H, Wang J (2012) Network dynamics and cluster evolution: changing trajectories of the aluminium extrusion industry in Dali. Chin J Econ Geogr 12(1):127–155. https://doi.org/10.1093/jeg/lbr024
doi: 10.1093/jeg/lbr024
Li M, Pan X, Yuan S (2022) Do the national industrial relocation demonstration zones have higher regional energy efficiency? Appl Energy 306:117914
doi: 10.1016/j.apenergy.2021.117914
Li W, Qiao Y, Li X, Wang Y (2022) Energy consumption, pollution haven hypothesis, and environmental Kuznets curve: examining the environment–economy link in belt and road initiative countries. Energy 239:122559. https://doi.org/10.1016/j.energy.2021.122559
doi: 10.1016/j.energy.2021.122559
Liu HG, Liu WD (2009) Decomposition of energy-induced CO2 emissions in industry of China. Prog Geogr 28(2):285–292
Lu J, Li B, Li H, Ali A (2020) Expansion of city scale, traffic modes, traffic congestion, and air pollution. Cities 108:102974. https://doi.org/10.1016/j.cities.2020.102974
Mcdonald F, Huang Q, Tsagdis D, Josef Tüselmann H (2007) Is there evidence to support porter-type cluster policies? Reg Stud 41(1):39–49. https://doi.org/10.1080/00343400601136284
doi: 10.1080/00343400601136284
Pei Y, Zhu Y, Liu S, Xie M (2021) Industrial agglomeration and environmental pollution: based on the specialized and diversified agglomeration in the Yangtze River Delta. Environ Dev Sustain 23(3):4061–4085. https://doi.org/10.1007/s10668-020-00756-4
doi: 10.1007/s10668-020-00756-4
Song C, Zhang Z, Xu W, Elshkaki A (2023) The spatial effect of industrial transfer on carbon emissions under firm location decision:a carbon neutrality perspective. J Environ Manage 330:117139. https://doi.org/10.1016/j.jenvman.2022.117139
doi: 10.1016/j.jenvman.2022.117139
Verhoef E, 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
Wang SX, Fu YB, Zhang ZG (2015) Population growth and the environmental Kuznets curve. China Econ Rev 36:146–165. https://doi.org/10.1016/j.chieco.2015.08.012
doi: 10.1016/j.chieco.2015.08.012
Wang B, Sun Y, Wang Z (2018) Agglomeration effect of CO2 emissions and emissions reduction effect of technology: a spatial econometric perspective based on China’s province-level data. J Clean Prod 204:96–106. https://doi.org/10.1016/j.jclepro.2018.08.243
doi: 10.1016/j.jclepro.2018.08.243
Wang Y, Gao W, Wang S, Tao S, G Z, Ji D, Wang L, Liu Z, Yanfeng H, Tian S, Li J, Mingge L, Yang Y, Chu B, Petäjä T, Kerminen VM, He H, Hao J, Zhang Y (2020) Contrasting trends of PM 2.5 and surface-ozone concentrations in China from 2013 to 2017. Nat Sci Rev 7(8):1331–1339. https://doi.org/10.1093/nsr/nwaa032
Xiao Z, Li H, Sun L (2022) Does population and industrial agglomeration exacerbate China’s pollution? J Environ Plan Manage 65(14):2696–2718. https://doi.org/10.1080/09640568.2021.1978059
doi: 10.1080/09640568.2021.1978059
Xiong Y, Zou W, Wang Y (2023) Estimate the city size threshold of industrial agglomeration model: evidence from Chinese prefecture level cities. Int Reg Sci Rev 016001762311604. https://doi.org/10.1177/01600176231160489
Xu Y, Dong B, Chen Y, Qin H (2021) Effect of industrial transfer on carbon lock-in: a spatial econometric analysis of Chinese cities. J Environ Plan Manage 65:1–32
Yan Y, Huang J (2022) The role of population agglomeration played in China’s carbon intensity: a city-level analysis. Energ Econ 114:106276. https://doi.org/10.1016/j.eneco.2022.106276
doi: 10.1016/j.eneco.2022.106276
Yan W, Nie P (2021) Child education-induced migration and its impact on the economic behaviors of migrated households in China. Appl Econ 55(7):691–709
doi: 10.1080/00036846.2022.2094328
Yang H, He J, Chen S (2015) The fragility of the environmental Kuznets curve: revisiting the hypothesis with Chinese data via an “extreme bound analysis.” Ecol Econ 109:41–58. https://doi.org/10.1016/j.ecolecon.2014.10.023
doi: 10.1016/j.ecolecon.2014.10.023
Yang Z, Song T, Chahine T (2016) Spatial representations and policy implications of industrial co-agglomerations, a case study of Beijing. Habitat Int 55:32–45. https://doi.org/10.1016/j.habitatint.2016.02.007
doi: 10.1016/j.habitatint.2016.02.007
Zeng D-Z, 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
doi: 10.1016/j.jeem.2008.09.003
Zhou Y, Liu J (2020) Air pollution and mental health of older adults in China. Sustainability 12(3):950. https://doi.org/10.3390/su12030950
doi: 10.3390/su12030950
Zhou Y, Yuan B, Liang B, Cui Q, Zhang S, He J (2023) How does perceived environmental pollution affect migration interests: adapt or flee? Appl Econ 55(19):2146–2166
doi: 10.1080/00036846.2022.2102130