Skip to main content
Log in

Examining spatio-temporal variations in carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei urban agglomeration based on major functional zones

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

Abstract

Research on the carbon budget and zoning for carbon compensation in major functional zones (MFZs) is important for formulating strategies for low-carbon development for each functional zone, promoting the collaborative governance of the regional ecological environment, and achieving high-quality development. Such work can also contribute to achieving peak emissions and carbon neutrality. This paper constructs a theoretical framework for the carbon budget and carbon compensation from the perspective of the MFZ, uses 157 county-level units of the Beijing-Tianjin-Hebei urban agglomeration (BTHUA) as the study area, and introduces the concentration index, normalized revealed comparative advantage index, and Self Organizing Mapping-K-means (SOM-K-means) model to examine spatio-temporal variations in the carbon budget and carbon compensation zoning for the BTHUA from the perspective of MFZs. The authors propose a scheme for the spatial minimization of carbon emissions as oriented by low-carbon development. The results show that: (1) From 2000 to 2017, the carbon budget exhibited an upward trend of volatility, its centralization index was higher than the “warning line” of 0.4, and large regional differences in it were noted on the whole. (2) There were significant regional differences in the carbon budget, and carbon emissions exhibited a core-periphery spatial pattern, with a high-value center at Beijing-Tianjin-Tangshan that gradually decreased as it moved outward. However, the spatial pattern of carbon absorption tended to be stable, showing an inverted “U-shaped” pattern. It was high in the east, north, and west, and was low in the middle and the south. (3) The carbon budget was consistent with the strategic positioning of the MFZ, and the optimized development zone and key development zone were the main pressure-bearing areas for carbon emissions, while the key ecological functional zone was the dominant zone of carbon absorption. The difference in the centralization index of carbon absorption among the functional zones was smaller than that in the centralization index of carbon emissions. (4) There were 53 payment areas, 64 balanced areas, and 40 obtaining areas in the study area. Nine types of carbon compensation zones were finally formed in light of the strategic objectives of the MFZ, and directions and strategies for low-carbon development are proposed for each type. (5) It is important to strengthen research on the carbon balance and horizontal carbon compensation at a microscopic scale, enrich the theoretical framework of regional carbon compensation, integrate it into the carbon trading market, and explore diversified paths for achieving peak emissions and carbon neutrality.

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

  • Allen M R, Frame D J, Huntingford C et al., 2009. Warming caused by cumulative carbon emissions towards the trillionth tonne. Nature, 458(7242): 1163–1166.

    Article  Google Scholar 

  • Balassa B L, 1965. Trade liberalisation and “revealed” comparative advantage. Manchester School, 33(2): 99–123.

    Article  Google Scholar 

  • Chai L H, Zhu H Y, 2016. Evolution trend of regional centralization of grain production in China. Journal of Natural Resources, 31(6): 908–919. (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). doi: https://doi.org/10.1038/s41597-020-00736-3.

  • China Environmental Culture Promotion Association (CECPA), 2008. The First Report of “Research on China Carbon Balance Trading Framework” issued in Beijing [2008-11-06]. http://www.zhb.gov.cn/zhxx/hjyw/200811/t20081106_130915.htm. (in Chinese)

  • Ding Y L, 2015. Net carbon emissions estimates and carbon offsets in rural tourism destinations from a carbon neutral perspective [D]. Nanjing: Nanjing Normal University. (in Chinese)

    Google Scholar 

  • Fan J, 2007. The scientific foundation of major function oriented zoning in China. Acta Geographica Sinica, 62(4): 339–350. (in Chinese)

    Google Scholar 

  • Fan J, 2013. The strategy of major function oriented zoning and the optimization of territorial development patterns. Bulletin of Chinese Academy of Sciences, 28(2): 193–206. (in Chinese)

    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 S, Yu X F, Zhou L, 2018. Carbon emission efficiency growth of land use structure and its spatial correlation: A case study of Nanjing city. Geographical Research, 37(11): 2177–2192. (in Chinese)

    Google Scholar 

  • Fang J Y, Huang Y, Zhu J L et al., 2015. Carbon budget of forest ecosystems and its driving forces. China Basic Science, 20(3): 20–25. (in Chinese)

    Google Scholar 

  • Galik C S, Jackson R B, 2009. Risks to forest carbon offset projects in a changing climate. Forest Ecology & Management, 257(11): 2209–2216.

    Article  Google Scholar 

  • Hu A G, Zhou S J, 2014. Green development: Functional definition, mechanism analysis and development strategy. China Population, Resources and Environment, 24(1): 14–20. (in Chinese)

    Google Scholar 

  • Kohonen T, 1982. Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43(1): 59–69.

    Article  Google Scholar 

  • Lai L, 2010. Carbon emission effect of land use in China [D]. Nanjing: Nanjing University. (in Chinese)

    Google Scholar 

  • Li B J, Zhang Q Q, 2017. Decomposition of carbon emission influence factors in Beijing-Tianjin-Hebei region and its trend in the new normal situation. Ecological Economics, 33(4): 19–24. (in Chinese)

    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 

  • Li Q Q, Gong M Y, Gu Q P, 2013. Study on carbon offsetting in cap-and-trade mechanism. Environmental Science & Management, 38(8): 51–55. (in Chinese)

    Google Scholar 

  • Li Y, 2014. Study on agricultural carbon sink function and compensation mechanism [D]. Tai’an: Shandong Agricultural University. (in Chinese)

    Google Scholar 

  • Liu Q Q, Wang S J, Zhang W Z et al., 2019. Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives. Applied Energy, 236: 163–171.

    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 

  • 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 

  • Melillo J M, Steudler P A, Aber J D et al., 2002. Soil warming and carbon-cycle feedbacks to the climate system. Science, 298(5601): 2173–2176.

    Article  Google Scholar 

  • Shen T H, 2013. Study on ecological forest compensation mechanism of the Chongqing reservoir area in Three Gorges [D]. Chongqing: Southwest University. (in Chinese)

    Google Scholar 

  • Su Y X, Chen X Z, Ye Y Y et al., 2013. The characteristics and mechanisms of carbon emissions from energy consumption in China using DMSP/OLS night light imageries. Acta Geographica Sinica, 68(11): 1513–1526. (in Chinese)

    Google Scholar 

  • Wang G, Zhang H B, Xue F et al., 2017. Relations between land use carbon budget and economic development at county level in Chengdu city. Journal of Natural Resources, 32(7): 1170–1182. (in Chinese)

    Google Scholar 

  • Wang H, Chen C C, Pan T et al., 2014. County scale characteristics of CO2 emission’s spatial-temporal evolution in the Beijing-Tianjin-Hebei metropolitan region. Environmental Science, 35(1): 385–393. (in Chinese)

    Google Scholar 

  • Wang L G, Ding C X, Peng J F et al., 2020. Comparison of factors affecting tourism operators’ carbon offset willingness of forest parks. Economic Geography, 40(5): 230–238. (in Chinese)

    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 

  • Xu C L, Ren J L, Gong C J, 2014. The influence of adjustment in industrial structures on carbon emissions in Shandong Province. Journal of Natural Resources, 29(2): 201–210. (in Chinese)

    Google Scholar 

  • Yu R, Cai J N, Leung P S, 2009. The normalized revealed comparative advantage index. Annals of Regional Science, 43(1): 267–282.

    Article  Google Scholar 

  • Zang H K, Yang W S, Zhang J et al., 2020. Research on carbon dioxide emissions peaking in Beijing-Tianjin-Hebei city agglomeration. Environmental Engineering, 38(11): 19–24, 77. (in Chinese)

    Google Scholar 

  • Zhang M, Lai L, Huang X J et al., 2013. The carbon emission intensity of land use conversion in different regions of China. Resources Science, 35(4): 792–799. (in Chinese)

    Google Scholar 

  • Zhang P T, Liu S J, Zhou Z et al., 2021. Supply and demand measurement and spatio-temporal evolution of ecosystem services in Beijing-Tianjin-Hebei Region. Acta Ecologica Sinica, 41(9): 3354–3367. (in Chinese)

    Google Scholar 

  • Zhang S F, Song Y, Li C F et al., 2015. Land cover change and spatial difference measurement of carbon budget in Hangzhou city. Urban Problems, (6): 46–53. (in Chinese)

  • Zhang Y J, Wang A D, Da Y B, 2014. Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method. Energy Policy, 74: 454–464.

    Article  Google Scholar 

  • Zhao R Q, Huang X J, Chuai X W, 2016. Misunderstandings and future trends of researches on land use carbon emissions in China. China Land Science, 30(12): 83–92. (in Chinese)

    Google Scholar 

  • Zhao R Q, Liu Y, Li Y X et al., 2015. Overview of regional carbon compensation: Mechanism, pattern and policy suggestions. Areal Research and Development, 34(5): 116–120. (in Chinese)

    Google Scholar 

  • Zhao R Q, Liu Y, Ma L et al., 2016. County-level carbon compensation of Henan province based on carbon budget estimation. Journal of Natural Resources, 31(10): 1675–1687. (in Chinese)

    Google Scholar 

  • 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 

  • Zhao Y H, Li H, Liu Y et al., 2018. Identifying driving forces of CO2 emissions in Beijing-Tianjin-Hebei region from temporal and spatial angles. Resources Science, 40(1): 207–215. (in Chinese)

    Google Scholar 

  • Zhou H, Li G M, Zhang G Y, 2010. SOM+K-means two-phase clustering algorithm and its application. Modern Electronics Technique, 33(16): 113–116. (in Chinese)

    Google Scholar 

  • Zhou K, 2016a. Spatial-temporal differences and cluster features of environmental pollution in China. Scientia Geographica Sinica, 36(7): 989–997. (in Chinese)

    Google Scholar 

  • Zhou K, Fan J, Liu H C, 2017. Spatiotemporal patterns and driving forces of water pollutant discharge in the Bohai Rim Region. Progress in Geography, 36(2): 171–181. (in Chinese)

    Google Scholar 

  • Zhou K, Li H, Shen Y M, 2020. Spatiotemporal patterns and driving factors of environmental stress in Beijing-Tianjin-Hebei region: A county-level analysis. Acta Geographica Sinica, 75(9): 1934–1947. (in Chinese)

    Google Scholar 

  • Zhou W W, 2016b. Research on factor decomposition and scenario prediction of Beijing-Tianjin- Hebei regional energy consumption carbon emission [D]. Baoding: North China Electric Power University. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Yang.

Additional information

Foundation

National Natural Science Foundation of China, No.42121001, No.42130712, No.42022007; Youth Innovation Promotion Association, CAS, No.2018069

Author

Xia Siyou (1991–), PhD Candidate, specializing in energy geography and regional studies.

This paper is initially published in Acta Geographica Sinica (Chinese edition), 2022, 77(3): 679–696.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xia, S., Yang, Y. Examining spatio-temporal variations in carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei urban agglomeration based on major functional zones. J. Geogr. Sci. 32, 1911–1934 (2022). https://doi.org/10.1007/s11442-022-2029-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-022-2029-y

Keywords

Navigation