Research on China’s Green GDP Based on VAR Model

Chuzhe Chen () and Yusheng Wang ()
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Chuzhe Chen: Wuhan Britain-China School
Yusheng Wang: Zhongnan University of Economics and Law, School of Statistics and Mathematics

A chapter in Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023), 2023, pp 253-266 from Springer

Abstract: Abstract This paper aims to address the traditional GDP’s inability to reflect environmental protection and sustainable development concerns. A new GGDP evaluation system is constructed, which complements and modifies the traditional GDP. The entropy weight method is utilized in constructing the climate composite index, and the vector autoregressive model is developed using GGDP. The dynamic relationship between GGDP and the climate composite index is explored, and impulse response analysis is employed to probe the impact of GGDP on the climate composite index. Finally, China is taken as an example to compare the impact of GGDP and GDP on climate. The findings demonstrate that GGDP, which considers the effects of natural environment, can reduce greenhouse gas and wastewater emissions. Nonetheless, it does not benefit forestry construction.

Keywords: Green GDP; Entropy weight method; VAR model; Linear regression model (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-344-3_31

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DOI: 10.2991/978-94-6463-344-3_31

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