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Evaluation and drivers of global low-carbon economies based on satellite data

Author

Listed:
  • Jiandong Chen

    (Southwestern University of Finance and Economics)

  • Ming Gao

    (Southwestern University of Finance and Economics)

  • Shulei Cheng

    (Southwestern University of Finance and Economics)

  • Yiyin Xu

    (Chengdu University)

  • Malin Song

    (Anhui University of Finance and Economics)

  • Yu Liu

    (Chinese Academy of Sciences)

  • Wenxuan Hou

    (Shanghai Lixin University of Accounting and Finance
    University of Edinburgh)

  • Shuhong Wang

    (Shandong University of Finance and Economics)

Abstract

Global warming is one of the largest challenges humankind is facing in this century, and how to achieve low-carbon economy has become one of the most attractive topics of global concern. However, evaluations of the low-carbon economy are insufficient due to limited methodologies and data availability. In this study, satellite data (i.e., night-time light data and net primary production) were employed to estimate the net economic output (neo), and ratio of neo to the GDP (reo), which can be used to assess the quantity and quality of worldwide low-carbon economies. Based on panel vector autoregression (pvar) analysis, we further discussed the drivers of neo and reo in global climate change mitigation towards a better low-carbon society. The results show that: (1) only France and the United Kingdom ranked within the top 10 in terms of the neo and reo in 2019, implying that they were successful in increasing both quantity and quality of low-carbon economic development; (2) the pvar analysis presented that the increase of reo granger-caused neo growth, and net primary production increment greatly helped raise the worldwide reo; (3) raising CO2 abatement policy stringency can play a major role in improving the quality of low carbon economy countries with poor quantity and quality, but it cannot significantly promote groups with high reo. Additionally, the results of this study also provided basic data, such as our calibrated global 1 × 1 km gridded night-time light data during 1992–2019 for research regarding low-carbon economy and other sustainable development issues.

Suggested Citation

  • Jiandong Chen & Ming Gao & Shulei Cheng & Yiyin Xu & Malin Song & Yu Liu & Wenxuan Hou & Shuhong Wang, 2022. "Evaluation and drivers of global low-carbon economies based on satellite data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01171-y
    DOI: 10.1057/s41599-022-01171-y
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    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Cameron Hepburn & Ella Adlen & John Beddington & Emily A. Carter & Sabine Fuss & Niall Mac Dowell & Jan C. Minx & Pete Smith & Charlotte K. Williams, 2019. "The technological and economic prospects for CO2 utilization and removal," Nature, Nature, vol. 575(7781), pages 87-97, November.
    3. Glen P. Peters & Robbie M. Andrew & Tom Boden & Josep G. Canadell & Philippe Ciais & Corinne Le Quéré & Gregg Marland & Michael R. Raupach & Charlie Wilson, 2013. "The challenge to keep global warming below 2 °C," Nature Climate Change, Nature, vol. 3(1), pages 4-6, January.
    4. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
    5. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    6. Wilhelm Althammer & Erik Hille, 2016. "Measuring climate policy stringency: a shadow price approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(4), pages 607-639, August.
    7. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    8. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    9. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    10. Yu Zhang & Liyin Shen & Chenyang Shuai & Yongtao Tan & Yitian Ren & Ya Wu, 2019. "Is the low‐carbon economy efficient in terms of sustainable development? A global perspective," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(1), pages 130-152, January.
    11. Joeri Rogelj & Michel den Elzen & Niklas Höhne & Taryn Fransen & Hanna Fekete & Harald Winkler & Roberto Schaeffer & Fu Sha & Keywan Riahi & Malte Meinshausen, 2016. "Paris Agreement climate proposals need a boost to keep warming well below 2 °C," Nature, Nature, vol. 534(7609), pages 631-639, June.
    12. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    13. Carraro, Carlo & Favero, Alice & Massetti, Emanuele, 2012. "“Investments and public finance in a green, low carbon, economy”," Energy Economics, Elsevier, vol. 34(S1), pages 15-28.
    14. Guy Stecklov & Alexander Weinreb & Calogero Carletto, 2018. "Can incentives improve survey data quality in developing countries?: results from a field experiment in India," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1033-1056, October.
    15. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    16. Wei, Chu & Löschel, Andreas & Liu, Bing, 2013. "An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises," Energy Economics, Elsevier, vol. 40(C), pages 22-31.
    17. Zeqiraj, Veton & Sohag, Kazi & Soytas, Ugur, 2020. "Stock market development and low-carbon economy: The role of innovation and renewable energy," Energy Economics, Elsevier, vol. 91(C).
    18. Chris Hope & Mat Hope, 2013. "The social cost of CO2 in a low-growth world," Nature Climate Change, Nature, vol. 3(8), pages 722-724, August.
    19. Fare, Rolf, et al, 1993. "Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 374-380, May.
    20. Fredriksson, Per G. & List, John A. & Millimet, Daniel L., 2003. "Bureaucratic corruption, environmental policy and inbound US FDI: theory and evidence," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1407-1430, August.
    21. Peter M. Cox & Richard A. Betts & Chris D. Jones & Steven A. Spall & Ian J. Totterdell, 2000. "Erratum: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model," Nature, Nature, vol. 408(6813), pages 750-750, December.
    22. Will R. Turner & Michael Oppenheimer & David S. Wilcove, 2009. "A force to fight global warming," Nature, Nature, vol. 462(7271), pages 278-279, November.
    23. Erik Hille, 2018. "Pollution havens: international empirical evidence using a shadow price measure of climate policy stringency," Empirical Economics, Springer, vol. 54(3), pages 1137-1171, May.
    24. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    25. Víctor M. Guerrero & Juan A. Mendoza, 2019. "On measuring economic growth from outer space: a single country approach," Empirical Economics, Springer, vol. 57(3), pages 971-990, September.
    26. Peter M. Cox & Richard A. Betts & Chris D. Jones & Steven A. Spall & Ian J. Totterdell, 2000. "Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model," Nature, Nature, vol. 408(6809), pages 184-187, November.
    27. Tobias S. Schmidt, 2014. "Low-carbon investment risks and de-risking," Nature Climate Change, Nature, vol. 4(4), pages 237-239, April.
    28. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    29. Hille, Erik & Shahbaz, Muhammad, 2019. "Sources of emission reductions: Market and policy-stringency effects," Energy Economics, Elsevier, vol. 78(C), pages 29-43.
    30. Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
    31. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    32. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    33. Saša Stjepanović & Daniel Tomić & Marinko Škare, 2017. "A new approach to measuring green GDP: a cross-country analysis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(4), pages 574-590, June.
    34. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
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