RETRACTED ARTICLE: Assessment of green economic efficiency in China using analytical hierarchical process (AHP)

Abstract

Global health, as well as worldwide development regimes, was seriously threatened by the COVID-19 pandemic and Delta variant outbreaks. In addition to pledging to adapt to and mitigate climate change, experts, economists, and policymakers expressed their determination to do so. Green growth and sustainable development have become the focus of policymakers and governments. The progress toward green economic efficiency (GEE), which will benefit the economy, society, and environment, continues. In terms of green growth and development, implementing environmental regulations and policies has been one of the most challenging aspects of the process. China, the world's second-largest economy, has begun its journey to GEE. Nonetheless, the green economy faces many challenges. The objective of the study is to use AHP analysis to analyze environmental regulation and GEE in China. Accordingly, the study identified three alternative approaches to achieve GEE by analyzing four criteria and ten sub-criteria in the context of environmental regulations in China. The analytical hierarchy process (AHP) has been used to rank criteria, sub-criteria, and alternative approaches. According to the model, China's best path to GEE is through resource efficiency and green purchasing strategies. This article offers an insightful assessment of sustainable development in the Chinese economy.

Research Status, Hotspots, and Evolution Trend of Decision-Making in Marine Management Using VOSviewer and CiteSpace

“…Further analysis shows that developed countries account for 90% of the top 10 published countries in the eld of research on decisionmaking in marine management. Moreover, China, the world's second-largest economy [30], indicates that research output in the eld of decision-making in marine management is highly correlated with the factors of economic development level.…”

A Method for Evaluating the Green Economic Efficiency of Resource-Based Cities Based on Neural Network Improved DEA Model

“…Since BP neural network requires training samples and corresponding tutor values, this process still cannot avoid the need to use other methods to assist in the evaluation, and the more common is the use of the expert scoring AHP method. This inevitably introduces the human subjective factor, and the evaluation period will be prolonged by the time of collecting expert experience scores [ 19 ]. Because of the respective advantages and shortcomings of the above two methods, this study organically combines the two methods for science and technology achievement transformation evaluation.…”

“…is inevitably introduces the human subjective factor, and the evaluation period will be prolonged by the time of collecting expert experience scores [19]. Because of the respective advantages and shortcomings of the above two methods, this study organically combines the two methods for science and technology achievement transformation evaluation.…”

Assessment of Best Performing Top 10 Economies Based on OECD Green Growth Indicators: Using AHP, TOPSIS and Regression

“…Researchers like Meng Li have researched inclusive green growth in Asia-Pacific [3]. Saira Naseer has assessed green economic efficiency in china using AHP, and the research indicates that the AHP model reduces uncertainty and shortcoming in the evaluation process [4]. Research comparing the green economy in Iran with OECD countries strongly suggests using some other MCDM techniques such as AHP, ELECTRE, and Fuzzy MCDM [5].…”