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The impact of urban population spatial distribution on CO2 emissions in China from the perspective of individual and interactive effects

  • Environmental quality, natural resources and Global Value Chain
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Abstract

As China’s rapid urbanization continues, uneven urban population spatial distribution (UPSD) has a profound impact on its CO2 emissions. To understand how UPSD shapes CO2 emissions in China, this study employs geographic detectors to analyze the spatial stratified heterogeneity patterns of urban CO2 emissions and explore the spatial individual and interactive effects of UPSD in 2005 and 2015. Results show that CO2 emissions increased significantly from 2005 to 2015, especially in developed cities and resource-based cities. The spatial individual effect of UPSD on spatial stratified heterogeneity pattern of CO2 emissions has gradually increased in the North Coast, South Coast, the Middle Yellow River, and the Middle Yangtze River. The interaction of UPSD and urban transportation infrastructure, urban economic development, and urban industrial structure plays a more important role on the North Coast and East Coast than in other city groups in 2005. In 2015, the interaction between UPSD and urban research and development was the traction of mitigating CO2 emissions in developed city groups, especially on the North Coast and East Coast. Moreover, the spatial interaction between the UPSD and urban industrial structure has gradually weakened in developed city groups, which means UPSD drives the prosperity of the service industry, thus contributing to the low-carbon development of Chinese cities.

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Data availability

The data used during the current study are available from the corresponding author on reasonable request.

References

  • Burton E (2000) The compact city: just or just compact? A preliminary analysis. Urban Stud 37:1969–2006

    Article  Google Scholar 

  • Cai B, Liang S, Zhou J, Wang J, Cao L, Qu S, Xu M, Yang Z (2018a) China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data. Resour Conserv Recycl 129:232–239

    Article  Google Scholar 

  • Cai X, Che X, Zhu B, Zhao J, Xie R (2018b) Will developing countries become pollution havens for developed countries? An empirical investigation in the Belt and Road. J Clean Prod 198:624–632

    Article  Google Scholar 

  • Cai B, Cui C, Zhang D, Cao L, Wu P, Pang L, Zhang J, Dai C (2019) China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis. Appl Energy 253:113579

    Article  CAS  Google Scholar 

  • Dasgupta S, Laplante B, Wang H, Wheeler D (2002) Confronting the environmental Kuznets curve. J Econ Perspect 16:147–168

    Article  Google Scholar 

  • Dechezleprêtre A, Martin R, Bassi S (2019) Climate change policy, innovation and growth, Handbook on Green Growth. Edward Elgar Publishing

  • Ding Y, Li F (2017) Examining the effects of urbanization and industrialization on carbon dioxide emission: evidence from China’s provincial regions. Energy 125:533–542

    Article  Google Scholar 

  • Du Z, Xu X, Zhang H, Wu Z, Liu Y (2016) Geographical detector-based identification of the impact of major determinants on aeolian desertification risk. PLoS One 11:e0151331

    Article  Google Scholar 

  • Du H, Chen Z, Peng B, Southworth F, Ma S, Wang Y (2019) What drives CO2 emissions from the transport sector? A linkage analysis. Energy 175:195–204

    Article  Google Scholar 

  • Duan C, Chen B, Feng K, Liu Z, Hayat T, Alsaedi A, Ahmad B (2018) Interregional carbon flows of China. Appl Energy 227:342–352

    Article  Google Scholar 

  • Duranton G, Puga D (2020) The economics of urban density. J Econ Perspect 34:3–26

    Article  Google Scholar 

  • Feng Y, Yuan H, Liu Y (2023) The energy-saving effect in the new transformation of urbanization. Econ Anal Policy 78:41–59

    Article  Google Scholar 

  • Gu W, Zhao X, Yan X, Wang C, Li Q (2019) Energy technological progress, energy consumption, and CO2 emissions: empirical evidence from China. J Clean Prod 236:117666

    Article  Google Scholar 

  • IPCC (2022) AR6 Climate Change 2022 Mitigation of Climate Change

  • Jiang Y, Zhou Z, Liu C (2019) The impact of public transportation on carbon emissions: a panel quantile analysis based on Chinese provincial data. Environ Sci Pollut Res 26:4000–4012

    Article  CAS  Google Scholar 

  • Jones C, Kammen DM (2014) Spatial distribution of US household carbon footprints reveals suburbanization undermines greenhouse gas benefits of urban population density. Environ Sci Technol 48:895–902

    Article  CAS  Google Scholar 

  • Li J, Lin B (2017) Does energy and CO2 emissions performance of China benefit from regional integration? Energy Policy 101:366–378

    Article  Google Scholar 

  • Li JS, Zhou H, Meng J, Yang Q, Chen B, Zhang Y (2018) Carbon emissions and their drivers for a typical urban economy from multiple perspectives: a case analysis for Beijing city. Appl Energy 226:1076–1086

    Article  Google Scholar 

  • Li F, Cai B, Ye Z, Wang Z, Zhang W, Zhou P, Chen J (2019a) Changing patterns and determinants of transportation carbon emissions in Chinese cities. Energy 174:562–575

    Article  Google Scholar 

  • Li X, Yang L, Zheng H, Shan Y, Zhang Z, Song M, Cai B, Guan D (2019b) City-level water-energy nexus in Beijing-Tianjin-Hebei region. Appl Energy 235:827–834

    Article  Google Scholar 

  • Liddle B (2014) Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses. Popul Environ 35:286–304

    Article  Google Scholar 

  • Liu Z, Guan D, Moore S, Lee H, Su J, Zhang Q (2015a) Climate policy: steps to China’s carbon peak. Nat News 522:279

    Article  CAS  Google Scholar 

  • Liu Z, Guan D, Wei W, Davis SJ, Ciais P, Bai J, Peng S, Zhang Q, Hubacek K, Marland G (2015b) Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature 524:335–338

    Article  CAS  Google Scholar 

  • Liu Y, Gao C, Lu Y (2017) The impact of urbanization on GHG emissions in China: the role of population density. J Clean Prod 157:299–309

    Article  Google Scholar 

  • Luo L, Mei K, Qu L, Zhang C, Chen H, Wang S, Di D, Huang H, Wang Z, Xia F (2019) Assessment of the Geographical Detector Method for investigating heavy metal source apportionment in an urban watershed of Eastern China. Sci Total Environ 653:714–722

    Article  CAS  Google Scholar 

  • Mao D, He X, Wang Z, Tian Y, Xiang H, Yu H, Man W, Jia M, Ren C, Zheng H (2019) Diverse policies leading to contrasting impacts on land cover and ecosystem services in Northeast China. J Clean Prod 240:117961

    Article  Google Scholar 

  • Meng X, Han J (2018) Roads, economy, population density, and CO2: a city-scaled causality analysis. Resour Conserv Recycl 128:508–515

    Article  Google Scholar 

  • Mi Z, Zhang Y, Guan D, Shan Y, Liu Z, Cong R, Yuan X-C, Wei Y-M (2016) Consumption-based emission accounting for Chinese cities. Appl Energy 184:1073–1081

    Article  Google Scholar 

  • Mi Z, Zheng J, Meng J, Ou J, Hubacek K, Liu Z, Coffman DM, Stern N, Liang S, Wei Y-M (2020) Economic development and converging household carbon footprints in China. Nature Sustain 3:529–537

    Article  Google Scholar 

  • NBS (2020) China Statistical Yearbook 2020. China Statistics Press, Beijing

    Google Scholar 

  • Ouyang X, Lin B (2015) An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector. Renew Sustain Energy Rev 45:838–849

    Article  CAS  Google Scholar 

  • Ribeiro HV, Rybski D, Kropp JP (2019) Effects of changing population or density on urban carbon dioxide emissions. Nat Commun 10:1–9

    Article  CAS  Google Scholar 

  • Shah SAA, Shah SQA, Tahir M (2022) Determinants of CO2 emissions: exploring the unexplored in low-income countries. Environ Sci Pollut Res:1–9

  • Shan Y, Liu J, Liu Z, Xu X, Shao S, Wang P, Guan D (2016) New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors. Appl Energy 184:742–750

    Article  Google Scholar 

  • Shao L, Li Y, Feng K, Meng J, Shan Y, Guan D (2018) Carbon emission imbalances and the structural paths of Chinese regions. Appl Energy 215:396–404

    Article  Google Scholar 

  • Shao S, Chen Y, Li K, Yang L (2019) Market segmentation and urban CO2 emissions in China: evidence from the Yangtze River Delta region. J Environ Manage 248:109324

    Article  Google Scholar 

  • Shao S, Hu Z, Cao J, Yang L, Guan D (2020) Environmental regulation and enterprise innovation: a review. Bus Strat Environ 29:1465–1478

    Article  Google Scholar 

  • Shapiro JS, Walker R (2018) Why is pollution from US manufacturing declining? The roles of environmental regulation, productivity, and trade. Am Econ Rev 108:3814–3854

    Article  Google Scholar 

  • Shen L, Wu Y, Lou Y, Zeng D, Shuai C, Song X (2018) What drives the carbon emission in the Chinese cities?—A case of pilot low carbon city of Beijing. J Clean Prod 174:343–354

    Article  Google Scholar 

  • Shi T, Hu Z, Shi Z, Guo L, Chen Y, Li Q, Wu G (2018) Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. Sci Total Environ 643:451–459

    Article  CAS  Google Scholar 

  • Shi X, Yu J, Cheong TS (2020) Convergence and distribution dynamics of energy consumption among China’s households. Energy Policy 142:111496

    Article  Google Scholar 

  • Sohag K, Al Mamun M, Uddin GS, Ahmed AM (2017) Sectoral output, energy use, and CO2 emission in middle-income countries. Environ Sci Pollut Res 24:9754–9764

    Article  CAS  Google Scholar 

  • Sun Y, Xue J, Shi X, Wang K, Qi S, Wang L, Wang C (2019) A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: emission control coefficients. Appl Energy 236:220–230

    Article  CAS  Google Scholar 

  • Timmons D, Zirogiannis N, Lutz M (2016) Location matters: population density and carbon emissions from residential building energy use in the United States. Energy Res Soc Sci 22:137–146

    Article  Google Scholar 

  • Wan G, Wang C, Wang J, Zhang X (2022) The income inequality-CO2 emissions nexus: transmission mechanisms. Ecol Econ 195:107360

    Article  Google Scholar 

  • Wang J, Zhang K (2014) Convergence of carbon dioxide emissions in different sectors in China. Energy 65:605–611

    Article  Google Scholar 

  • Wang H, Zhou P (2018) Multi-country comparisons of CO2 emission intensity: the production-theoretical decomposition analysis approach. Energy Econ 74:310–320

    Article  Google Scholar 

  • Wang JF, Li XH, Christakos G, Liao YL, Zhang T, Gu X, Zheng XY (2010) Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China. Int J Geogr Inf Sci 24:107–127

    Article  CAS  Google Scholar 

  • Wang H, Zhang Y, Lu X, Nielsen CP, Bi J (2015) Understanding China’s carbon dioxide emissions from both production and consumption perspectives. Renew Sustain Energy Rev 52:189–200

    Article  CAS  Google Scholar 

  • Wang J-F, Zhang T-L, Fu B-J (2016) A measure of spatial stratified heterogeneity. Ecol Ind 67:250–256

    Article  Google Scholar 

  • Wang J, Hu M, Zhang F, Gao B (2018) Influential factors detection for surface water quality with geographical detectors in China. Stoch Environ Res Risk A 32:2633–2645

    Article  Google Scholar 

  • Wang H, Lu X, Deng Y, Sun Y, Nielsen CP, Liu Y, Zhu G, Bu M, Bi J, McElroy MB (2019a) China’s CO 2 peak before 2030 implied from characteristics and growth of cities. Nat Sustain 2:748–754

    Article  Google Scholar 

  • Wang H, Zhou P, Xie B-C, Zhang N (2019b) Assessing drivers of CO2 emissions in China’s electricity sector: a metafrontier production-theoretical decomposition analysis. Eur J Oper Res 275:1096–1107

    Article  Google Scholar 

  • Wang K, Wu M, Sun Y, Shi X, Sun A, Zhang P (2019c) Resource abundance, industrial structure, and regional carbon emissions efficiency in China. Resour Policy 60:203–214

    Article  Google Scholar 

  • Wang C, Guo Y, Shao S, Fan M, Chen S (2020a) Regional carbon imbalance within China: an application of the Kaya-Zenga index. J Environ Manage 262:110378

    Article  Google Scholar 

  • Wang D, Liu Y, Wang Y, Shi X, Song X (2020b) Allocation of coal de-capacity quota among provinces in China: a bi-level multi-objective combinatorial optimization approach. Energy Econ 87:104709

    Article  Google Scholar 

  • Xu C, Haase D, Su M, Yang Z (2019a) The impact of urban compactness on energy-related greenhouse gas emissions across EU member states: population density vs physical compactness. Appl Energy 254:113671

    Article  Google Scholar 

  • Xu L, Chen G, Wiedmann T, Wang Y, Geschke A, Shi L (2019b) Supply-side carbon accounting and mitigation analysis for Beijing-Tianjin-Hebei urban agglomeration in China. J Environ Manage 248:109243

    Article  Google Scholar 

  • Yang J, Song C, Yang Y, Xu C, Guo F, Xie L (2019) New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: a case study of Duwen Highway Basin, Sichuan Province, China. Geomorphology 324:62–71

    Article  Google Scholar 

  • Yu J, Shi X, Guo D, Yang L (2021) Economic policy uncertainty (EPU) and firm carbon emissions: evidence using a China provincial EPU index. Energy Econ 94:105071

    Article  Google Scholar 

  • Zhang N, Wang B, Liu Z (2016) Carbon emissions dynamics, efficiency gains, and technological innovation in China’s industrial sectors. Energy 99:10–19

    Article  Google Scholar 

  • Zhang Y-J, Peng Y-L, Ma C-Q, Shen B (2017) Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy 100:18–28

    Article  Google Scholar 

  • Zhang H, Shi X, Wang K, Xue J, Song L, Sun Y (2020a) Intertemporal lifestyle changes and carbon emissions: evidence from a China household survey. Energy Econ 86:104655

    Article  Google Scholar 

  • Zhang K, Shao S, Fan S (2020b) Market integration and environmental quality: evidence from the Yangtze river delta region of China. J Environ Manage 261:110208

    Article  Google Scholar 

  • Zhao Z, Shi X, Zhao L, Zhang J (2020a) Extending production-theoretical decomposition analysis to environmentally sensitive growth: case study of Belt and Road Initiative countries. Technol Forecast Soc Chang 161:120289

    Article  Google Scholar 

  • Zhao Z, Yuan T, Shi X, Zhao L (2020b) Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China. Mitig Adapt Strat Glob Chang 25:1363–1380

    Article  Google Scholar 

  • Zheng H, Shan Y, Mi Z, Meng J, Ou J, Schroeder H, Guan D (2018) How modifications of China’s energy data affect carbon mitigation targets. Energy Policy 116:337–343

    Article  Google Scholar 

  • Zheng J, Mi Z, Coffman DM, Milcheva S, Shan Y, Guan D, Wang S (2019) Regional development and carbon emissions in China. Energy Econ 81:25–36

    Article  Google Scholar 

  • Zhou X, Zhou D, Wang Q, Su B (2020) Who shapes China’s carbon intensity and how? A demand-side decomposition analysis. Energy Econ 85:104600

    Article  Google Scholar 

  • Zhu Z, Wang J, Hu M, Jia L (2019) Geographical detection of groundwater pollution vulnerability and hazard in karst areas of Guangxi Province, China. Environ Pollut 245:627–633

    Article  CAS  Google Scholar 

  • Zou B, Luo B (2019) Rural household energy consumption characteristics and determinants in China. Energy 182:814–823

    Article  Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China [grant numbers 71974176, 72174056], Hebei Province Social Science Development Research Youth Project [grant numbers 20220303032], and Special Research Project for Xiongan New Area [grant numbers 2023HXA005].

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Conceptualization, ZZB; formal analysis, calculating and writing- original draft preparation, ZZB, SX and CY; methodology and data curation, ZZB, SX, and CY; writing-review and editing, ZZB, SX, CY, and HMZ; supervision, ZZB and CY. Both authors have read and agreed to the published version of the manuscript.

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Correspondence to Ye Cao.

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Zhao, Z., Shi, X., Cao, Y. et al. The impact of urban population spatial distribution on CO2 emissions in China from the perspective of individual and interactive effects. Environ Sci Pollut Res 30, 117096–117109 (2023). https://doi.org/10.1007/s11356-023-28105-8

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