The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

Abstract

Ecological efficiency (EE) provides much reference for formulating appropriate regional economic, social and environmental policies to promote sustainable development. Interactive subsystems of economy, society and environment within EE system have been considered in this paper. By innovatively integrating the merits of two advanced economic research methods (global super efficiency network data envelopment analysis (GSE-NDEA) and panel vector autoregression (PVAR) and updating the EE evaluation indicator system by following the new features of sustainable development in the recent China, this paper comprehensively evaluates EE by drawing evidence from 3 regions in China during the period of 2011–2020, and further reveals how the three subsystems within EE system interact to achieve EE enhancement. The findings show EE and its three subsystems’ trend, the major constrains of EE development, the regional discrepancies in EE progress, and the interactions among the subsystems of economy-society-environment within the EE system in different regions of China. The policy implications are proposed accordingly.

Corporate environmental efforts, government environmental subsidies, and corporate non‐environmental R&D intensity: Evidence from listed firms

“…Thus, the overall finding of this paper is that the mismatch between firm environmental efforts and government subsidies consumes and locks in firms' additional scarce cognitive resources. Recent literature has highlighted the increasing attention given to environmental protection (Gao et al, 2023; Pan et al, 2022; Yang et al, 2022). However, it is important to consider that excessive and radical government interventions in the implementation process may have counterproductive effects (Tian et al, 2022; Yang et al, 2023).…”

The Knowledge Analysis of Panel Vector Autoregression: A Systematic Review

“…Secondly, the incorporation of theories and research tools from diverse disciplines has led to a continuous flow of new research topics in this field. For example, R. Yang et al (2022) combined the DEA model with the PVAR model to evaluate China's ecological efficiency while examining the dynamic relationship between the economic, social, and environmental subsystems within China's ecological efficiency system. In a study conducted by Giro´n and Kazemikhasragh (2022), the PVAR and Arellano-Bond models were comprehensively adapted to analyze the effects of gender inequality on economic growth.…”

“…It can be understood that the prediction results obtained by a simple and reasonable PVAR model are often more scientifically sound than those obtained by complex multivariate simultaneous regression equations. This is primarily due to the PVAR model's ability to effectively circumvent the influence of multiple constraints imposed by common multivariate regression models, thereby ensuring the identifiability of the modeling structure (R. Yang et al, 2022). The general form of the PVAR model allows for easier parameter estimation compared to other multivariate regression equations.…”

The interactive relationship between energy consumption and the social-economic-environmental complex system in rural areas.

“…Previous studies have indicated that strict environmental policies can promote energy transition and improve public health and protect the environment (Mohamed et al, 2021). Additionally, economic development can provide a material basis for the protection and development of energy and the environment, thus promoting social progress (Tianzi et al, 2022;Yang et al, 2023).…”