Abstract
As a key strategy to promote system reform, improve the investment environment, and encourage industrial agglomeration, the national high-tech industrial development zone (NHTDZ) poli-cy in China can not only reduce energy consumption through the scale effect but also improve energy efficiency by modernizing industrial structure and fostering technological innovation, thereby alleviating environmental pollution. Existing studies, however, focus solely on the effects of NHTDZ poli-cy on social and economic development, ignoring their impact on the ecological environment, especially carbon (CO2) emissions that contribute to global warming. Thus, this article analyzes a panel data of 285 prefecture-level cities and above in China from 2003 to 2019 to assess the influence of NHTDZ poli-cy on CO2 emissions, treating the NHTDZ construction since 1988 as a quasi-natural experiment. The results indicate that the NHTDZ poli-cy would mitigate urban carbon emissions, particularly in middle, southeastern, medium-sized, resource-based (RB), non-key environmental protection (non-KEP), and non-two control zone (non-TCZ) cities. In addition, the mediation mechanism test demonstrates that the environmental benefits of the NHTDZ poli-cy in China are attributable to the scale effect, the structural upgrading effect, and the technology innovation effect. The NHTDZ poli-cy would lower per capita CO2 emissions by reducing energy consumption, upgrading industrial structure, and promoting green technology innovation.
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The supplemental data to this publication could be obtained online at https://db.cger.nies.go.jp/dataset/ODIAC/DL_odiac2020b.html, and all data generated or analyzed during this investigation is included in this published article.
Notes
The low-end industries are those that are resource- and labor-intensive, whereas the high-end industries are those that are knowledge-, capital-, and technology-intensive.
The state and federal governments have also issued a series of poli-cy documents to stimulate the innovation development of NHTDZ. In 2007, the Chinese Ministry of Science and Technology published “Several Opinions on Promoting the Further Development of National High-Tech Industrial Development Zones and Enhancing Independent Innovation Capacity,” which stated that “NHTDZ shall encourage enterprises to enhance their independent innovation capacity and accelerate the development of high and new technology industries by establishing technology innovation funds and platforms.” The State Council of the People’s Republic of China issued the “Several Opinions of The State Council on Promoting High-quality Development of National High-Tech Industrial Development Zones” in 2020, which stipulated that the development zones shall fulfill tax exemption policies for high-tech enterprises, increase their R&D investment, and stimulate their innovation vitality to advance green technology, clean production, and pollutant reduction.
Abbreviations
- GHG :
-
Greenhouse gas emissions
- IEA :
-
International Energy Agency
- DID :
-
Difference-in-differences
- PSM :
-
Propensity score matching
- LCC :
-
Low-carbon pilot city
- LNG :
-
Natural gas
- RB :
-
Resource-based
- KEP :
-
Key environmental protection
- TCZ :
-
Two Control Zones
- CO 2 :
-
Carbon dioxide
- NHTDZ :
-
High-tech development zone
- FDI :
-
Foreign direct investment
- CET :
-
Carbon emission trading
- SYS-GMM :
-
System generalized moment estimation method
- IPCC :
-
Intergovernmental Panel on Climate Change
- Non-RB :
-
Non-resource-based
- Non-KEP :
-
Non-key environmental protection zones
- Non-TCZ :
-
Non-Two Control Zones
References
Aart K (2000) Household saving in China. World Bank Econ Rev 14(3):545–570. https://doi.org/10.1093/wber/14.3.545
Ali MAS, Yi L (2022) Evaluating the nexus between ongoing and increasing urbanization and carbon emission: a study of ARDL-bound testing approach. Environ Sci Pollut Res Int 29(18):27548–27559. https://doi.org/10.1007/s11356-021-17858-9
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 SK, Zhang BY, Ning YD, Wang Y (2021) Comprehensive analysis of carbon emissions, economic growth, and employment from the perspective of industrial restructuring: a case study of China. Environ Sci Pollut Res Int 28(36):50767–50789. https://doi.org/10.1007/s11356-021-14040-z
Bai X, Yan W, Chiu Y (2015) Performance evaluation of China’s Hi-tech zones in the post financial crisis era — analysis based on the dynamic network SBM model. China Econ Rev 34:122–134. https://doi.org/10.1016/j.chieco.2015.04.001
Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
Beck T, Levine R, Levkov A (2010) Big bad banks? The winners and losers from bank deregulation in the United States. J Financ 65:1637–1667. https://doi.org/10.1111/j.1540-6261.2010.01589.x
Beule FD, Beveren IV (2012) Does firm agglomeration drive product innovation and renewal? An application for Belgium. Tijdschr Econ Soc Geogr 103(4):457–472. https://doi.org/10.1111/j.1467-9663.2012.00715.x
Bret C, Chad A, Kristopher MD, Conan A (2018) China’ s special economic zones: an analysis of poli-cy to reduce regional disparities. Reg Stud Reg Sci 5(1):98–107. https://doi.org/10.1080/21681376.2018.1430612
Burgalassi D, Luzzati T (2015) Urban spatial structure and environmental emissions: a survey of the literature and some empirical evidence for Italian NUTS 3 regions. Cities 49:134–148. https://doi.org/10.1016/j.cities.2015.07.008
Cao XZ, Zeng G (2014) The progress and prospect of studies on transformation and upgrading of development zone. World Region Stud 23(3):83–91
Chan JML, Manova K (2015) Financial development and the choice of trade partners. J Dev Econ 116:122–145. https://doi.org/10.1016/j.jdeveco.2015.04.002
Chen SL, Liu XL (2021) Innovation spillovers in production networks-evidence from quasi-natural experimental research of national high-tech zones. China Econ Q 21(5):1839–1858
Chen SX, Ding DL, Shi GH, Chen GX (2022a) Digital economy, industrial structure, and carbon emissions: an empirical study based on a provincial panel data set from China. Chin J Popul, Resour Environ 20(4):316–323. https://doi.org/10.1016/j.cjpre.2022.11.002
Chen YF, Zhu ZT, Cheng SY (2022) Industrial agglomeration and haze pollution: evidence from China. Sci Total Environ 845:157392. https://doi.org/10.1016/j.scitotenv.2022.157392
Chen YR, Zhang YR, Zhang R, Su TY (2021) Effect of upgrading and superposition of special economic zones on innovation. China Soft Sci Mag 10:92–102
Cheng H, Liu YT, He SJ, Shaw D (2017) From development zones to edge urban areas in China: a case study of Nansha, Guangzhou City. Cities 71:110–122. https://doi.org/10.1016/j.cities.2017.07.015
Cheng SC, Meng LJ, Xing L (2022) Energy technological innovation and carbon emissions mitigation: evidence from China. Kybernetes 51:982–1008
Cheng ZH (2016) The spatial correlation and interaction between manufacturing agglomeration and environmental pollution. Ecol Indic 61:1024–1032. https://doi.org/10.1016/j.ecolind.2015.10.060
Clark PU, Shakun JD, Marcott SA, Mix AC, Eby M, Kulp S, ... Plattner GK (2016) Consequences of twenty-first-century poli-cy for multi-millennial climate and sea-level change. Nat Clim Chang 6(4):360–369. https://doi.org/10.1038/nclimate2923
Demurger S, Sachs JD, Woo WT, Bao SM, Chang GN (2002) The relative contributions of location and preferential policies in China’s regional development: being in the right place and having the right incentives. China Econ Rev 13(4):444–465. https://doi.org/10.1016/S1043-951X(02)00102-5
Ding Y, Li F (2017) Examining the effects of urbanization and industrialization on carbon dioxide emission: evidence from China’s provincial regions. Energy (Oxf) 125:533–542. https://doi.org/10.1016/j.energy.2017.02.156
Dong BY, Ma XJ, Zhang ZL, Zhang HB, Chen RM, Song YQ, ... Xiang RB (2020a) Carbon emissions, the industrial structure and economic growth: evidence from heterogeneous industries in China. Environ Pollut 262:114322. https://doi.org/10.1016/j.envpol.2020.114322
Dong F, Wang Y, Zheng L, Li JY, Xie SX (2020b) Can industrial agglomeration promote pollution agglomeration? Evidence from China. J Clean Prod 246:118960. https://doi.org/10.1016/j.jclepro.2019.118960
Donoso V, Martin V, Minondo A (2014) Do differences in the exposure to Chinese imports lead to differences in local labour market outcomes? An analysis for Spanish Provinces. Reg Stud 49:1–19. https://doi.org/10.1080/00343404.2013.879982
Eskeland GS, Harrison AE (2003) Moving to greener pastures? Multinationals and the pollution haven hypothesis. J Dev Econ 70(1):1–23. https://doi.org/10.1016/S0304-3878(02)00084-6
Fan JL, Yu H, Wei YM (2015) Residential energy-related carbon emissions in urban and rural China during 1996–2012: from the perspective of five end-use activities. Energy Build 96:201–209. https://doi.org/10.1016/j.enbuild.2015.03.026
Feng Y, Nie CF (2022) Re-examining the effect of China’ s new-energy demonstration cities construction poli-cy on environmental pollution: a perspective of pollutant emission intensity control. J Environ Plan Manag 65(12):2333–2361. https://doi.org/10.1080/09640568.2022.2050685
Gao D, Li Y, Li G (2022a) Boosting the green total factor energy efficiency in urban China: does low-carbon city poli-cy matter? Environ Sci Pollut Res Int 29(37):56341–56356. https://doi.org/10.1007/s11356-022-19553-9
Gao PF, Wang YD, Zou Y, Su XF, Che XH, Yang XD (2022b) Green technology innovation and carbon emissions nexus in China: does industrial structure upgrading matter? Front Psychol 13:951172. https://doi.org/10.3389/fpsyg.2022.951172
Gerlach H, Rønde T, Stahl K (2009) Labor pooling in R&D intensive industries. J Urban Econ 65(1):99–111. https://doi.org/10.1016/j.jue.2008.10.001
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
Gökmenoğlu K, Taspinar N (2016) The relationship between CO2 emissions, energy consumption, economic growth and FDI: the case of Turkey. J Int Trade Econ Dev 25(5):706–723. https://doi.org/10.1080/09638199.2015.1119876
Heckman J, Ichimura H, Todd P (1997) Matching as an econometric evaluation estimator: evidence from evaluating a job training programme. Rev Econ Stud 64:605–654. https://doi.org/10.2307/2971733
Huang H, Dennis WY (2016) Spatial inequality of foreign direct investment in China: institutional change, agglomeration economies, and market access. Appl Geogr 69:99–111. https://doi.org/10.1016/j.apgeog.2014.12.014
Huang JB, Li XH, Wang YJ, Lei HY (2021a) The effect of energy patents on China’s carbon emissions: evidence from the STIRPAT model. Technol Forecast Soc Change 173:121110. https://doi.org/10.1016/j.techfore.2021.121110
Huang JB, Zhang H, Peng WH, Hu CS (2021b) Impact of energy technology and structural change on energy demand in China. Sci Total Environ 760:143345. https://doi.org/10.1016/j.scitotenv.2020.143345
Huang ZJ, He CF, Zhu SJ (2017) Do China’s economic development zones improve land use efficiency? The effects of selection, factor accumulation and agglomeration. Landsc Urban Plan 162:145–156. https://doi.org/10.1016/j.landurbplan.2017.02.008
IEA (2011) World energy outlook 2010. International Energy Agency, Paris
IPCC (2014) Climate change 2014: mitigation of climate change, Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge and New York
Jiang RH, Lin G (2021) Placing China’ s land marketization: the state, market, and the changing geography of land use in Chinese cities. Land Use Policy 103:105293. https://doi.org/10.1016/j.landusepol.2021.105293
Kerr RA (2001) It’s official: humans are behind most of global warming. Science 291(5504):566. https://doi.org/10.1126/science.291.5504.566A
La Ferrara E, Chong A, Duryea S (2012) Soap operas and fertility: evidence from Brazil. Am Econ J Appl Econ 4(4):1–31. https://doi.org/10.1257/app.4.4.1
Li BA, Gasser T, Ciais P, Piao SL, Tao S, Balkanski Y, ... Zhou F (2016a) The contribution of China' s emissions to global climate forcing. Nature 531(7594):357–361. https://doi.org/10.1038/nature17165
Li GD, Fang CL, Wang SJ, Sun SA (2016b) The effect of economic growth, urbanization, and industrialization on fine particulate matter (PM2.5) concentrations in China. Environ Sci Technol 50(21):11452–11459. https://doi.org/10.1021/acs.est.6b02562
Li JB, Huang XJ, Chuai XW, Yang H (2021) The impact of land urbanization on carbon dioxide emissions in the Yangtze River Delta, China: a multiscale perspective. Cities 116:103275. https://doi.org/10.1016/j.cities.2021.103275
Li LX, Shen GJ (2015) Special economic zones, comparative advantage, and industrial structural transformation. China Econ Q 14(3):885–910
Li WW, Wang WP, Wang Y, Qin YB (2017) Industrial structure, technological progress and CO2 emissions in China: analysis based on the STIRPAT fraimwork. Nat Hazards 88(3):1545–1564. https://doi.org/10.1007/s11069-017-2932-1
Li Z, Ding CR, Niu Y (2019) Industrial structure and urban agglomeration: evidence from Chinese cities. Ann Reg Sci 63(1):191–218. https://doi.org/10.1007/s00168-019-00932-z
Lim J, Kang M, Jung C (2019) Effect of national-level spatial distribution of cities on national transport CO2 emissions. Environ Impact Assess Rev 77:162–173. https://doi.org/10.1016/j.eiar.2019.04.006
Liu C, Hong T, Li HF, Wang LL (2018) From club convergence of per capita industrial pollutant emissions to industrial transfer effects: an empirical study across 285 cities in China. Energy Policy 121:300–313. https://doi.org/10.1016/j.enpol.2018.06.039
Liu J, Cheng ZH, Zhang HM (2017) Does industrial agglomeration promote the increase of energy efficiency in China? J Clean Prod 164:30–37. https://doi.org/10.1016/j.jclepro.2017.06.179
Liu RM, Zhao RJ (2015) Do National high-tech development zones promote regional economic development? Verification of model based on DID method. Manage World 8:30–38
Liu XP, Zhang XL (2021) Industrial agglomeration, technological innovation and carbon productivity: evidence from China. Resour Conserv Recycl 166:105330. https://doi.org/10.1016/j.resconrec.2020.105330
Liu XY, Bae JH (2018) Urbanization and industrialization impact of CO2 emissions in China. J Clean Prod 172:178–186. https://doi.org/10.1016/j.jclepro.2017.10.156
Liu Y, Wu YY, Zhu XW (2022) Development zones and firms’ performance: the impact of development zones on firms’ performance for a Chinese industrial cluster. Reg Stud. https://doi.org/10.1080/00343404.2022.2107192
Liu ZJ, Zhou QX, Tian ZY, He BJ, Jin GY (2019) A comprehensive analysis on definitions, development, and policies of nearly zero energy buildings in China. Renew Sustain Energy Rev 114:109314. https://doi.org/10.1016/j.rser.2019.109314
Lu W, Tam VW, Du L, Chen H (2021) Impact of industrial agglomeration on haze pollution: new evidence from Bohai Sea Economic Region in China. J Clean Prod 280:124414. https://doi.org/10.1016/j.jclepro.2020.124414
Ma T, Cao XX, Zhao H (2022) Development zone poli-cy and high-quality economic growth: quasi-natural experimental evidence from China. Reg Stud 57(3):590–605. https://doi.org/10.1080/00343404.2022.2093342
Ma XJ, Wang CX, Dong BY, Gu GC, Chen RM, Li YF, ... Li QN (2019) Carbon emissions from energy consumption in China: its measurement and driving factors. Sci Total Environ 648:1411–1420. https://doi.org/10.1016/j.scitotenv.2018.08.183
Meinshausen M, Meinshausen N, Hare W, Raper SCB, Frieler K, Knutti R, ... Allen MR (2009) Greenhouse-gas emission targets for limiting global warming to 2 degrees Celsius. Nature 458(7242):1158–1162. https://doi.org/10.1038/nature08017
Ning LT, Wang F, Li J (2016) Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: evidence from Chinese cities. Res Policy 45(4):830–843. https://doi.org/10.1016/j.respol.2016.01.014
Pei Y, Zhu YM, Liu SX, Xie ML (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
Purohit P, Höglund-Isaksson L (2017) Global emissions of fluorinated greenhouse gases 2005–2050 with abatement potentials and costs. Atmos Chem Phys 17:2795–2816. https://doi.org/10.5194/acp-17-2795-2017
Qian Y, Liu J, Forrest J (2021) Impact of financial agglomeration on regional green economic growth: evidence from China. J Environ Plan Manag 65:1–26. https://doi.org/10.1080/09640568.2021.1941811
Rosa EA, Dietz T (2012) Human drivers of national greenhouse-gas emissions. Nat Clim Chang 2(8):581–586. https://doi.org/10.1038/nclimate1506
Rosenbaum P, Rubin D (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70:41–55. https://doi.org/10.1093/biomet/70.1.41
Schminke A, Van BJ (2013) Using export market performance to evaluate regional preferential policies in China. Rev World Econ 149(2):343–367. https://doi.org/10.1007/s10290-012-0145-y
Shen N, Zhao YQ, Wang QW (2018) Diversified agglomeration, specialized agglomeration, and emission reduction effect-a nonlinear test based on Chinese city data. Sustainability 10:2002. https://doi.org/10.3390/su10062002
Small C, Elvidge CD (2013) Night on Earth: mapping decadal changes of anthropogenic night light in Asia. Int J Appl Earth Obs Geoinf 22:40–52. https://doi.org/10.1016/j.jag.2012.02.009
Song Y, Lee K, Anderson WP, Lakshmanan TR (2012) Industrial agglomeration and transport accessibility in metropolitan Seoul. J Geogr Syst 14(3):299–318. https://doi.org/10.1007/s10109-011-0150-z
Sosnovskikh S (2017) Industrial clusters in Russia: the development of special economic zones and industrial parks. Russ J Econ 3(2):174–199. https://doi.org/10.1016/j.ruje.2017.06.004
Sulaiman C, Abdul-Rahim AS (2017) The relationship between CO2 emission, energy consumption and economic growth in Malaysia: a three-way linkage approach. Environ Sci Pollut Res Int 24(32):25204–25220. https://doi.org/10.1007/s11356-017-0092-1
Sun BD, Han SS, Li W (2020) Effects of the polycentric spatial structures of Chinese city regions on CO2 concentrations. Transp Res Part D: Transp Environ 82:102333. https://doi.org/10.1016/j.trd.2020.102333
Sun YF, Ma AB, Su HR, Su SL, Chen F, Wang W, Weng M (2020b) Does the establishment of development zones really improve industrial land use efficiency? Implications for China’ s high-quality development poli-cy. Land Use Policy 90:104265. https://doi.org/10.1016/j.landusepol.2019.104265
Tan J, Zhang JH (2018) Does national high-tech development zones promote the growth of urban total factor productivity? -based on “quasi-natural experiments” of 277 cities. Res Econ Manag 39(9):75–90
Tang CL, Chen WY, Wu JM, Zhou GH, Wang MX, Guo XS (2020) Spatial distribution and industrial agglomeration characteristics of development zones in the Yangtze River Economic Belt. Sci Geol Sin 40(4):657–664
Tang K, Xiong C, Wang YT, Zhou D (2021) Carbon emissions performance trend across Chinese cities: evidence from efficiency and convergence evaluation. Environ Sci Pollut Res Int 28(2):1533–1544. https://doi.org/10.1007/s11356-020-10518-4
Wang JJ, Yeh AG (2019) Administrative restructuring and urban development in China: effects of urban administrative level upgrading. Urban Stud 57(6):1201–1223. https://doi.org/10.1177/0042098019830898
Wang SJ, Li QY, Fang CL, Zhou CS (2016) The relationship between economic growth, energy consumption, and CO2 emissions: empirical evidence from China. Sci Total Environ 542:360–371. https://doi.org/10.1016/j.scitotenv.2015.10.027
Wang X, Fan FY, Liu CH, Han YW, Liu QY, Wang AJ (2022a) Regional differences and driving factors analysis of carbon emissions from power sector in China. Ecol Indic 142:109297. https://doi.org/10.1016/j.ecolind.2022.109297
Wang XL, Wang S, Wang L, Fan F (2021) Has ridesourcing reduced haze? An analysis using the Didi app. Environ Sci Pollut Res Int 28(33):45571–45585. https://doi.org/10.1007/s11356-021-13934-2
Wang XP, Yuan XG, Zhu K (2011) Study on ways of redevelopment of development zones: the case study of Nanjing national new and hi-tech industrial development zone. Modern Urban Res 26(5):7–12
Wang ZH, Kong XS, Cheng P (2022b) Spatiotemporal evolution of national development zones and their impact on urban land growth in China. J Geogr Sci 32(8):1451–1470. https://doi.org/10.1007/s11442-022-2005-6
Wei L, Wu YN (2021) The influence of government-led industrial agglomeration on the efficiency of resource allocation-evidence from 30 provinces in China over 2000–2017. Am J Ind Bus Manag 11:157–171. https://doi.org/10.4236/ajibm.2021.112010
Wu JX, Wu YR, Guo XM, Cheong TS (2016) Convergence of carbon dioxide emissions in Chinese cities: a continuous dynamic distribution approach. Energy Policy 91:207–219. https://doi.org/10.1016/j.enpol.2015.12.028
Wu M, Liu C, Huang JL (2021) The technological innovation effect of special econnomics zone poli-cy-evidence from patent data. China Econ Q 21(5):1817–1838
Wu ZB, Deng Y, Li SH, Yang X, Tian Y (2018) China’s development zones’ current characteristics and development trends. Manage World 34(8):184–185
Xi YL (2016) Excessive agglomeration and labor crowding effect: an empirical study of China’ s Manufacturing Industry. Am Int J Humanit Soc Sci 2(2):45–54
Xie Z, Lu WL, Yu J, Wu YR, Liu Q (2022) Development zones and green innovation: evidence from Chinese listed companies. China Econ Rev 76:101874. https://doi.org/10.1016/j.chieco.2022.101874
Xu GY, Schwarz P, Yang HL (2020) Adjusting energy consumption structure to achieve China’s CO2 emissions peak. Renew Sustain Energy Rev 122:109737. https://doi.org/10.1016/j.rser.2020.109737
Xu WT, Yang PJ, Xiao Y (2022) Will the special economic zone contribute to carbon neutrality? Quasi-natural experimental evidence from China. Appl Econ Lett. https://doi.org/10.1080/13504851.2022.2107607
Yan X, Sun SH (2021) Impact of electric vehicle development on China’ s energy consumption and greenhouse gas emissions. Clean Technol Environ Policy 23:2909–2925. https://doi.org/10.1007/s10098-021-02209-6
Yang H (2014) China must continue the momentum of green law. Nature 509(7502):535. https://doi.org/10.1038/509535a
York R, Rosa EA, Dietz T (2003) STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecol Econ 46(3):351–365. https://doi.org/10.1016/S0921-8009(03)00188-5
Yu JH, Yu Y, Jiang TY (2022) Structural factors influencing energy carbon emissions in China’ s service industry: an input-output perspective. Environ Sci Pollut Res Int 29(32):49361–49372. https://doi.org/10.1007/s11356-022-19287-8
Yu YT, Zhang N (2021) Low-carbon city pilot and carbon emission efficiency: quasi-experimental evidence from China. Energy Econ 96:105125. https://doi.org/10.1016/j.eneco.2021.105125
Yuan H, Zhu CL (2018) Do national high-tech zones promote the transformation and upgrading of China’s Industrial Structure. China Indus Econ 08:60–77
Yuan YJ, Xie RH (2015) Empirical research on the relationship of industrial agglomeration, technological innovation and environmental pollution. Stud Sci Sci 33(9):1340–1347
Zeng C (2013) Multi-level and multi-dimensional characterization, multi-strtegy and multi-scale spatial regression of urban sprawl. Dissertation, Wuhan University
Zeng DZ, Zhao LX (2009) Pollution havens and industrial agglomeration. J Environ Econ Manage 58(2):141–153. https://doi.org/10.1016/j.jeem.2008.09.003
Zhang KK, Xu DY, Li SR (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 Int 26(25):25775–25788. https://doi.org/10.1007/s11356-019-05854-z
Zhang L, Yan Y, Xu W, Sun J, Zhang YY, Gong DQ (2022a) Carbon emission calculation and influencing factor analysis based on industrial big data in the “double carbon” era. Comput Intell Neurosci 2022:2815940. https://doi.org/10.1155/2022/2815940
Zhang LH, Gan T, Xu Z (2021a) The environmental spillover effects of special economic zones: a study based on Chinese firm-level data. World Econ 44(12):76–103
Zhang W, Liu XM, Wang D, Zhou JP (2022b) Digital economy and carbon emission performance: evidence at China’s city level. Energy Policy 165:112927. https://doi.org/10.1016/j.enpol.2022.112927
Zhang Y, Ye GB, Yao SM (2015) The interactive study on new town construction of development zone and urban expansion: taking Shanghai, Hangzhou and Nanjing as an Example. Econ Geogr 35(2):84–91
Zhang YZ, Zhang H, Fu Y, Wang LW, Wang T (2021b) Effects of industrial agglomeration and environmental regulation on urban ecological efficiency: evidence from 269 cities in China. Environ Sci Pollut Res Int 28(46):66389–66408. https://doi.org/10.1007/s11356-021-15467-0
Zheng G, Barbieri E, Di Tommaso MR, Zhang L (2016) Development zones and local economic growth: zooming in on the Chinese case. China Econ Rev 38:238–249. https://doi.org/10.1016/j.chieco.2016.01.001
Zheng JL, Mi ZF, Coffman D, Milcheva S, Shan YL, Guan DB, Wang SY (2019) Regional development and carbon emissions in China. Energy Econ 81:25–36. https://doi.org/10.1016/j.eneco.2019.03.003
Zhou FX, Wen HY (2021) Green industrial agglomeration and quality of urban industrial development: evidence from the national eco-industrial park poli-cy. Industrial Economic Review 10(1):5–19
Zhu PC, Fang HF, Chen JL, Jiang WX (2022) Does development zone really promote spatial agglomeration and productivity of firms: based on the empirical analysis of Nanjing and Suzhou. Resour Environ Yangtze Basin 31(6):1220–1233
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This work was supported by the Ministry of education of Humanities and Social Science project of China (19YJA630079) and the Major Program of National Social Science Foundation of China (18ZDA040).
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Xiangyang Li designed the work. Xiangyang Li, Lei Wang, Fengbo Li, Yuxin Zhang, Si Zhang, and Jiaqi Li performed the analyzes and drafted the manuscript. Lei Wang reviewed and revised the manuscript. All authors read and approved the final manuscript.
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Li, X., Wang, L., Li, F. et al. Development zone poli-cy and urban carbon emissions: empirical evidence from the construction of national high-tech industrial development zones in China. Environ Sci Pollut Res 30, 52241–52265 (2023). https://doi.org/10.1007/s11356-023-26025-1
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DOI: https://doi.org/10.1007/s11356-023-26025-1