Skip to main content
Log in

Spatio-temporal differences and influencing factors of carbon emission equity in the Loess Plateau based on major function-oriented zones

  • Research Articles
  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

In this paper, we firstly constructed a theoretical framework based on major function-oriented zones (MFOZs). Then taking the Loess Plateau (LP) as the study area, we revealed the spatio-temporal differences and influencing factors of carbon emission equity by using the carbon equity model, Theil index, and Geo-detector. The results showed that: (1) From 2000 to 2017, the carbon equity of the Loess Plateau showed a downward trend, but the ecological carbon equity remained above 2.3, which was significantly higher than the economic carbon equity. (2) The ecological carbon equity in the Loess Plateau increased from the core of urban agglomeration to the periphery. The spatial pattern of economic carbon equity changed from low in the northeast and high in the southwest to low in the north and high in the south. The ecological support coefficient and economic contribution coefficient of provincial capital cities and their surrounding districts remained low since 2000. (3) The equity of carbon emissions in each function-oriented zone in the Loess Plateau was compatible with its orientation. The ecological carbon equity of the key ecological functional zones (KEFZs) was significantly higher than that of the key development zones (KDZs) and the major agricultural production zones (MAPZs), while the economic carbon equity of the KDZs was significantly higher than that of the MAPZs and the KEFZs. (4) The formation and evolution of the spatial differentiation pattern of carbon equity in the Loess Plateau was the result of the long-term interaction effects of geographic location, social economy, science and technology level, and policy system. Among them, eco-environmental protection policy, government financial support, and geographical location are the key driving factors for the spatial pattern of ecological carbon equity. Geographical location, social economic level, and science and technology level are the key factors driving the spatial pattern of economic carbon equity. According to this study, to achieving carbon equity on the Loess Plateau region, what the key approaches are to fully implement the planning of MFOZs, design differentiated regional carbon compensation mechanisms, improve energy efficiency and ecological environment capacity, and build a collaborative regional carbon emission governance system. This research can not only provide an effective framework for analysing the carbon equity, but also offer policy implication for promoting carbon emission reduction and achieving high-quality development goals in the ecologically fragile areas.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bruckner B, Hubacek K, Shan Y et al., 2022. Impacts of poverty alleviation on national and global carbon emissions. Nature Sustainability, 5(4): 311–320.

    Article  Google Scholar 

  • Budolfson M B, Anthoff D, Dennig F et al., 2021. Utilitarian benchmarks for emissions and pledges promote equity, climate and development. Nature Climate Change, 11(10): 827–833.

    Article  Google Scholar 

  • Chancel L, 2022. Global carbon inequality over 1990–2019. Nature Sustainability, 5(11): 931–938.

    Article  Google Scholar 

  • Chen H, Wen J, Pang J et al., 2020. Research on the carbon transfer and carbon equity at provincial level of China based on MRIO model of 31 provinces. China Environmental Science, 40(12): 5540–5550. (in Chinese)

    Google Scholar 

  • Chen J D, Gao M, Cheng S L et al., 2020. County-level CO2 emissions and sequestration in China during 1997–2017. Scientific Data, 7(1): 391.

    Article  Google Scholar 

  • Chen W X, Li J F, Zeng J et al., 2019. Spatial heterogeneity and formation mechanism of eco-environmental effect of land use change in China. Geographical Research, 38(9): 2173–2187. (in Chinese)

    Google Scholar 

  • Clarke-Sather A, Qu J S, Wang Q et al., 2011. Carbon inequality at the sub-national scale: A case study of provincial-level inequality in CO2 emissions in China 1997–2007. Energy Policy, 39(9): 5420–5428.

    Article  Google Scholar 

  • Cui Y, Khan S U, Deng Y et al., 2022. Spatiotemporal heterogeneity, convergence and its impact factors: Perspective of carbon emission intensity and carbon emission per capita considering carbon sink effect. Environmental Impact Assessment Review, 92: 106699.

    Article  Google Scholar 

  • Deng X Z, Jin G, He S J et al., 2021. Research progress and prospect on development geography. Journal of Geographical Sciences, 31(3): 437–455.

    Article  Google Scholar 

  • Fan J, 2015. Draft of major function oriented zoning of China. Acta Geographica Sinica, 70(2): 186–201. (in Chinese)

    Google Scholar 

  • Fan J, Guo R, 2021. Scientific foundations and strategies of national territorial spatial governance during the 14th Five-Year-Plan Period in China. Urban Planning Forum, (3): 15–20. (in Chinese)

  • Hong C, Burney J A, Pongratz J et al., 2021. Global and regional drivers of land-use emissions in 1961–2017. Nature, 589(7843): 554–561.

    Article  Google Scholar 

  • Hong C, Zhao H, Qin Y et al., 2022. Land-use emissions embodied in international trade. Science, 376(6593): 597–603.

    Article  Google Scholar 

  • Huang R, Wang Z, Ding G Q et al., 2016. Trend prediction and analysis of influencing factors of carbon emissions from energy consumption in Jiangsu province based on STIRPAT model. Geographical Research, 35(4): 781–789. (in Chinese)

    Google Scholar 

  • Jiang W B, Liu W D, 2021. Effect of change of the spatial pattern of economic activities on CO2 emissions in China. Resources Science, 43(4): 722–732. (in Chinese)

    Google Scholar 

  • Kornek U, Klenert D, Edenhofer O et al., 2021. The social cost of carbon and inequality: When local redistribution shapes global carbon prices. Journal of Environmental Economics and Management, 107: 102450.

    Article  Google Scholar 

  • Li L, Dong J, Xu L et al., 2019. Spatial variation of land use carbon budget and carbon compensation zoning in functional areas: A case study of Wuhan Urban Agglomeration. Journal of Natural Resources, 34(5): 1003–1015. (in Chinese)

    Article  Google Scholar 

  • Liu G, Zhang F, 2022. China’s carbon inequality of households: Perspectives of the aging society and urban-rural gaps. Resources, Conservation and Recycling, 185: 106449.

    Article  Google Scholar 

  • Liu Y J, Tang J X, 2022. Spatio-temporal evolution characteristics and influencing mechanism of green development efficiency of tourism industry in China. Journal of Natural Resources, 37(3): 681–700. (in Chinese)

    Article  Google Scholar 

  • Lu J Y, Huang X J, Dai L et al., 2012. Spatio-temporal scale analysis on the equality of energy consumption carbon emission distribution in China. Journal of Natural Resources, 27(12): 2006–2017. (in Chinese)

    Google Scholar 

  • Ma B B, Dang X X, Yuan S M et al., 2022. Location selection and spatial justice of polluting enterprises in underdeveloped areas. Acta Geographica Sinica, 77(4): 1009–1027. (in Chinese)

    Google Scholar 

  • Ma X W, Chen D N, Lan J K et al., 2019. Correlation between income disparity and CO2 emissions from household consumption. Journal of Beijing Institute of Technology (Social Sciences Edition), 21(6): 1–9. (In Chinese)

    Google Scholar 

  • Mao H Y, 1991. Study on coordinating development of economic, social growth with population, resources and environment at county level. Acta Geographica Sinica, 46(4): 385–395. (in Chinese)

    Google Scholar 

  • O’Neill B C, Liddle B, Jiang L W et al., 2012. Demographic change and carbon dioxide emissions. The Lancet, 380(9837): 157–164.

    Article  Google Scholar 

  • Pan X, Wang H, Wang Z et al., 2019. Carbon Palma Ratio: A new indicator for measuring the distribution inequality of carbon emissions among individuals. Journal of Cleaner Production, 241: 118418.

    Article  Google Scholar 

  • Pan X Z, Teng F, Ha Y J et al., 2014. Equitable access to sustainable development: Based on the comparative study of carbon emission rights allocation schemes. Applied Energy, 130: 632–640.

    Article  Google Scholar 

  • Peng Q, Xu W, Xiao Y, 2022. Can carbon offset policies be effectively implemented in all regions of China? An evolutionary game analysis of decision-making dynamics of local governments. Sustainability, 14(3): 1591.

    Article  Google Scholar 

  • Piao S L, He Y, Wang X H et al., 2022. Estimation of China’s terrestrial ecosystem carbon sink: Methods, progress and prospects. Science China (Earth Sciences), 65(4): 641–651.

    Article  Google Scholar 

  • Pozo C, Galán-Martín Á, Reiner D M et al., 2020. Equity in allocating carbon dioxide removal quotas. Nature Climate Change, 10(7): 640–646.

    Article  Google Scholar 

  • Pye S, Bradley S, Hughes N et al., 2020. An equitable redistribution of unburnable carbon. Nature Communications, 11(1): 1–9.

    Article  Google Scholar 

  • Soest H L, Elzen M G J, Vuuren D P, 2021. Net-zero emission targets for major emitting countries consistent with the Paris Agreement. Nature Communications, 12(1): 1–9.

    Google Scholar 

  • Song Y Y, Ma B B, Dai L H et al., 2021. Spatial-temporal pattern and formation mechanism of county urbanization on the Chinese Loess Plateau. Journal of Mountain Science, 18(4): 1093–1111.

    Article  Google Scholar 

  • Song Y Y, Xue D Q, Dai L H et al., 2020. Land cover change and eco-environmental quality response of different geomorphic units on the Chinese Loess Plateau. Journal of Arid Land, 12(1): 29–43.

    Article  Google Scholar 

  • Su W S, Liu Y Y, Wang S J et al., 2018. Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China. Journal of Geographical Sciences, 28(4): 495–513.

    Article  Google Scholar 

  • Tan D, Huang X J, 2008. Correlation analysis and comparison of the economic development and carbon emissions in the eastern, central and western part of China. China Population, Resources and Environment, 18(3): 54–57. (in Chinese)

    Google Scholar 

  • Teng F, He J K, Pan X Z et al., 2010. How to measure carbon equity: Carbon Gini index based on historical cumulative emission per capita. Advances in Climate Change Research, 6(6): 449–455. (in Chinese)

    Google Scholar 

  • Wang J F, Xu C D, 2017. Geodetector: Principle and prospective. Acta Geographica Sinica, 72(1): 116–134. (in Chinese)

    Google Scholar 

  • Wang K Y, Cui Y Y, Zhang H W et al., 2022. Household carbon footprints inequality in China: Drivers, components and dynamics. Energy Economics, 115: 106334.

    Article  Google Scholar 

  • Wang Q, Gao C Y, 2016. Analysis of allocation principles for China’s provincial carbon emission allowance under the equity and efficiency dimension. China Population, Resources and Environment, 26(7): 53–61. (in Chinese)

    Google Scholar 

  • Wang S J, Gao S, Huang Y Y et al., 2020. Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends. Journal of Geographical Sciences, 32(5): 757–774.

    Article  Google Scholar 

  • Wang S J, Xie Z H, Wang Z H, 2021. The spatiotemporal pattern evolution and influencing factors of CO2 emissions at the county level of China. Acta Geographica Sinica, 76(12): 3103–3118. (in Chinese)

    Google Scholar 

  • Wang W J, Chen Z L, 2019. Study on the allocation plan of initial carbon allowances in China’s province-level regions: Based on the perspective of responsibility and goals, fairness and efficiency. Management World, 35(3): 81–98. (in Chinese)

    Google Scholar 

  • Wang Y H, Xiong S Q, Ma X M, 2022. Carbon inequality in global trade: Evidence from the mismatch between embodied carbon emissions and value added. Ecological Economics, 195: 107398.

    Article  Google Scholar 

  • Wen L J, Zhang J J, 2015. Progress and trends of land spatial regulation, unbalanced development and spatial externalities. China Land Science, 29(7): 4–12. (in Chinese)

    Google Scholar 

  • Xia S Y, Yang Y, 2022. Examining spatio-temporal variations in carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei urban agglomeration based on major functional zones. Journal of Geographical Sciences, 32(10): 1911–1934.

    Article  Google Scholar 

  • Xie H L, Liu G Y, 2015. Spatiotemporal difference and determinants of multiple cropping index in China during 1998–2012. Acta Geographica Sinica, 70(4): 604–614. (in Chinese)

    Google Scholar 

  • Yang M, Liu Y S, Tian J Z et al., 2022. Dynamic evolution and regional disparity in carbon emission intensity in China. Sustainability, 14(7): 4052–4052.

    Article  Google Scholar 

  • Yang Y, Yang S N, 2020. Are industrial carbon emissions allocations in developing regions equitable? A case study of the northwestern provinces in China. Journal of Environmental Management, 265: 110518.

    Article  Google Scholar 

  • Yao L, Liu J R, Wang R S, 2011. Comparison and analysis of carbon emissions embodied in household consumption between urban and rural area of China. China Population, Resources and Environment, 21(4): 25–29. (in Chinese)

    Google Scholar 

  • Yu J H, Xiao R L, Ma R F et al., 2022. Research hotspots and trends of carbon neutrality in international trade. Journal of Natural Resources, 37(5): 1303–1320. (in Chinese)

    Article  Google Scholar 

  • Zhang X, Niu S W, Zhao C S et al., 2011. The study on household energy consumption and carbon emissions in China’s urbanization. China Soft Science, (9): 65–75. (in Chinese)

  • Zhao R Q, Zhang S, Huang X J et al., 2014. Spatial variation of carbon budget and carbon balance zoning of Central Plains Economic Region at county-level. Acta Geographica Sinica, 69(10): 1425–1437. (in Chinese)

    Google Scholar 

  • Zheng X Q, Lu Y L, Yuan J J et al., 2020. Drivers of change in China’s energy-related CO2 emissions. PNAS, 117(1): 29–36.

    Article  Google Scholar 

  • Zhong Z, Zhang X, Gao W, 2020. Spatiotemporal evolution of global greenhouse gas emissions transferring via trade: Influencing factors and policy implications. International Journal of Environmental Research and Public Health, 17(14): 5065.

    Article  Google Scholar 

  • Zhou D, Zheng C P, Hua S R et al., 2019. The potentialities and paths of China’s carbon emission reduction based on the coordination of fairness and efficiency. Journal of Natural Resources, 34(1): 80–91. (in Chinese)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Siyou Xia.

Additional information

Foundation: National Natural Science Foundation of China, No.42001251; The Fundamental Research Funds for the Central Universities, No.GK202201008

Author: Song Yongyong (1990–), PhD and Associate Professor, specialized in regional geography and sustainable development.

Corresponding author: Xia Siyou (1991−), PhD, specialized in energy geography and sustainable development.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, Y., Xia, S., Xue, D. et al. Spatio-temporal differences and influencing factors of carbon emission equity in the Loess Plateau based on major function-oriented zones. J. Geogr. Sci. 33, 1245–1270 (2023). https://doi.org/10.1007/s11442-023-2128-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-023-2128-4

Keywords

Navigation