Spatio-temporal characteristics and analysis of influencing factors of inclusive green growth in China’s oil and gas resource industry

作者：Xiangyu Sun, Yanqiu Wang · 发表于：Ecological Indicators · 年份：2024 · DOI：10.1016/j.ecolind.2024.112982 · 被引用次数：11 · 研究领域：Mining and Resource Management、Arctic and Russian Policy Studies、Energy, Environment, Economic Growth

As China’s economic strategy increasingly emphasizes inclusive green development, the focus on the oil and gas resource industry is still nascent. This study introduces a novel index system for inclusive green growth (IGG) specific to China’s oil and gas resource industry, encompassing dimensions such as industrial development, social equity in opportunities, poverty and income inequality reduction, and green ecology. This research marks the first application of the CRITIC combined weighting-TOPSIS model to assess inclusive green growth in the oil and gas resource industry (IGGOG) across 30 Chinese provinces from 2012 to 2021. The study delineates its spatial and temporal evolution, spatial correlation, and influential variables using kernel density estimation, exploratory spatial data analysis (ESDA), and geographically and temporally weighted regression (GTWR). Key observations include: (1) IGGOG exhibited a general upward trajectory, albeit with periodic fluctuations. (2) IGGOG’s spatial distribution adopts a “periphery-center” pattern, with pronounced spatial disparities. (3) Significant positive spatial autocorrelation in IGGOG is predominantly evident in high-high (HH) and low-low (LL) clusters. (4) Factors such as industrial agglomeration, industrial structures upgrading, urbanization rates, digital economy, and openness positively correlate with IGGOG, whereas green burdens adversely affect it. Moreover, the effects of these six factors demonstrate spatial heterogenei...