A New Measurement of Global Equity in a Sustainability Perspective: Examining Differences from Space and Time Dimensions

Lin Cai, Yating Xu (), Kaiqi Zhang (), Caiya Zhang and Zhengzhe Xiang
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Lin Cai: Department of Statistics and Data Science, Zhejiang University City College, Hangzhou 310015, China
Yating Xu: Department of Statistics and Data Science, Zhejiang University City College, Hangzhou 310015, China
Kaiqi Zhang: Department of Statistics and Data Science, Zhejiang University City College, Hangzhou 310015, China
Caiya Zhang: Institute of Digital Finance, Zhejiang University City College, Hangzhou 310015, China
Zhengzhe Xiang: School of Computer and Computing Science, Zhejiang University City College, Hangzhou 310015, China

Sustainability, 2022, vol. 14, issue 15, 1-18

Abstract: With the increasing development gap, how to measure global equity in the perspective of sustainability has become an essential issue nowadays. To examine the intra-generational equity from the space dimension and the inter-generational equity from the time dimension, a new measurement of global equity in a sustainability is proposed in this paper. Firstly, a comprehensive assessment index of regional development and an index of regional equity are constructed based on panel data using an entropy weight method (EVW) and a coefficient of variation method (CVM). Secondly, the intra-generational equity within different continents and echelons and the inter-generational equity in seven fields over the last 30 years are analyzed. Lastly, the global equity index for the next 10 years is predicted based on a panel data autoregressive model. The results of the study will be a reference for global equity strategies.

Keywords: global equity; EVW; CVM; panel autoregressive model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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