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An empirical analysis on spatial correlation investigation of industrial carbon emissions using SNA-ICE model

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  • Liu, S.
  • Xiao, Q.

Abstract

The modified gravity model is combined with Social Network Analysis (SNA) in this work and used to investigate 2004–2017 provincial Industrial Carbon Emissions (ICE) of China. Specifically, by constructing spatial correlation network, the main contribution is here finding out its influencing factors with the help of Quality Assurance Procedure (QAP) of SNA. Results of case study are as follows. (1) The complex spatial correlations exist in the stable overall network structure for ICE of China’s 30 provinces. (2) The obtained spatial correlation network (2017) in which Guangdong, Shandong, Henan, Hubei and Xinjiang are central can be divided into four regional blocks (from which spatial correlation effect is exhibited for entire 30 selected provinces and spatial spillover effect is revealed for several resourceful western provinces). (3) Spatial adjacency relations, innovation intensity and degree of openness (which can significantly enhance the degree of spatial correlation) are the prominent influencing factors for the proposed spatial correlation network. The major achievement is that the spatial correlations of carbon emissions of industry of China are contribute to creative construction of a collaborative carbon emission reduction mechanism for policy making and provincial green development of the developing countries.

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  • Liu, S. & Xiao, Q., 2021. "An empirical analysis on spatial correlation investigation of industrial carbon emissions using SNA-ICE model," Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:energy:v:224:y:2021:i:c:s0360544221004321
    DOI: 10.1016/j.energy.2021.120183
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    1. Jiao, Jianling & Jiang, Guili & Yang, Ranran, 2018. "Impact of R&D technology spillovers on carbon emissions between China’s regions," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 35-45.
    2. Wang, Shaojian & Liu, Xiaoping, 2017. "China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces," Applied Energy, Elsevier, vol. 200(C), pages 204-214.
    3. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    4. Wu, Po-Chin & Liu, Shiao-Yen & Hsiao, Juei-Ming & Huang, Tsai-Yuan, 2016. "Nonlinear and time-varying growth-tourism causality," Annals of Tourism Research, Elsevier, vol. 59(C), pages 45-59.
    5. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Zakaria, Muhammad & Hurr, Maryam, 2017. "Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 185-192.
    6. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    7. Zaman, Khalid & Moemen, Mitwali Abd-el., 2017. "Energy consumption, carbon dioxide emissions and economic development: Evaluating alternative and plausible environmental hypothesis for sustainable growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1119-1130.
    8. Geng, Yuhuan & Tian, Mingzhong & Zhu, Qiuan & Zhang, Jianjun & Peng, Changhui, 2011. "Quantification of provincial-level carbon emissions from energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3658-3668.
    9. Qi, Wei & Li, Guangdong, 2020. "Residential carbon emission embedded in China's inter-provincial population migration," Energy Policy, Elsevier, vol. 136(C).
    10. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    11. Lu, Heli & Liu, Guifang, 2014. "Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting," Applied Energy, Elsevier, vol. 131(C), pages 297-306.
    12. Jia, Junxue & Ma, Guangrong & Qin, Cong & Wang, Liyan, 2020. "Place-based policies, state-led industrialisation, and regional development: Evidence from China's Great Western Development Programme," European Economic Review, Elsevier, vol. 123(C).
    13. Wu, Feng & Huang, Ningyu & Zhang, Fan & Niu, Lulu & Zhang, Yali, 2020. "Analysis of the carbon emission reduction potential of China's key industries under the IPCC 2 °C and 1.5 °C limits," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    14. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    15. Li, Jizhe & Huang, Guohe & Liu, Lirong, 2018. "Ecological network analysis for urban metabolism and carbon emissions based on input-output tables: A case study of Guangdong province," Ecological Modelling, Elsevier, vol. 383(C), pages 118-126.
    16. Zhang, Zengkai & Guo, Ju'e & Hewings, Geoffrey J.D., 2014. "The effects of direct trade within China on regional and national CO2 emissions," Energy Economics, Elsevier, vol. 46(C), pages 161-175.
    17. Yu, Zhe & Di, Qianbin, 2020. "The coordination between maritime economies and marine carrying capacity and their spatiotemporal evolution in the cities of the bohai rim in china," Ecological Modelling, Elsevier, vol. 438(C).
    18. Hong, Jingke & Gu, Jianping & Liang, Xin & Liu, Guiwen & Shen, Geoffrey Qiping & Tang, Miaohan, 2019. "Spatiotemporal investigation of energy network patterns of agglomeration economies in China: Province-level evidence," Energy, Elsevier, vol. 187(C).
    19. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "The impact of international trade on China׳s industrial carbon emissions since its entry into WTO," Energy Policy, Elsevier, vol. 69(C), pages 624-634.
    20. Sun, Yutao & Cao, Cong, 2018. "The evolving relations between government agencies of innovation policymaking in emerging economies: A policy network approach and its application to the Chinese case," Research Policy, Elsevier, vol. 47(3), pages 592-605.
    21. Huang, Ying & Liao, Cuiping & Zhang, Jingjing & Guo, Hongxu & Zhou, Nan & Zhao, Daiqing, 2019. "Exploring potential pathways towards urban greenhouse gas peaks: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    22. Shi, Jiao, 2019. "Vertical FDI and exchange rates over the business cycle: The welfare implications of openness to FDI," Journal of Development Economics, Elsevier, vol. 138(C), pages 274-293.
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