Evaluating the Factors of Green Finance to Achieve Carbon Peak and Carbon Neutrality Targets in China: A Delphi and Fuzzy AHP Approach

Abstract

Green finance (GF) is a vital strategy implemented by China to minimize carbon emissions to achieve targets of carbon peak and carbon neutrality. Thus, the objective of this study is to reduce carbon emissions by developing green finance practices in China. This study identifies, evaluates, and ranks the factors and sub-factors of green finance because it is the core issue for sustainable development. In this regard, this study utilizes the Delphi and fuzzy Analytical Hierarchy Process (FAHP) method to analyze the main factors and sub-factors of green finance. The Delphi method finalizes the 6 factors and 26 sub-factors after a thorough investigation. The FAHP method was used to assess and rank the identified factors and sub-factors of green finance. The findings show that the political (POF) is the most crucial factor of green finance in the Chinese economy. The economic (ECF) and environmental (ENF) factors are ranked second and third important factors. The further results of the FAHP reveal that ecological and political identification (POF1), political stability (POF3), and climate commitments (POF2) are the top-ranked sub-factors of green finance. The results specify that green finance development is a very crucial strategy to minimize carbon emissions.

Evaluating investment risks in overseas renewable energy projects: A WSR and D‐AHP based approach

“…Initially, enterprises should diversify their funding options and develop green finance 45 to address financial risks. Second, to address management risks, enterprises should improve internal governance, enhance management productivity and cultivate management talent.…”

Comparative Analysis of the Impact of Policy Uncertainty, Agricultural Output, and Renewable Energy on Environmental Sustainability

“…Since the FDI inflows play a pivotal role in economic growth, innovation [10], industrial development [43], and thereby affecting environmental quality [43][44][45] in host economies, the present study also includes FDI as an independent variable in the model to assess the pollution haven/halo hypothesis. Moreover, RE has its core importance in climate change mitigation efforts and achieving the carbon peak and carbon neutrality [2,30], this study also considers RE as one of the response variables in the model. This study proposes and estimates the following model for the comparative analysis of EPU-ES association in developed and emerging economies.…”

“…The significance of economic policy uncertainty (EPU) on economic growth and sustainability has been well-established [1]. Governments all over the globe are trying to balance economic development and environmental protection [2]. In this regard, the relevance of the impact of EPU on environmental sustainability (ES) has increased.…”

“…In addition, RE sources are gaining traction as critical alternatives for mitigating climate change and reducing dependency on fossil fuels [23,24]. Analyzing the effects of RE deployment on environmental sustainability can give a thorough knowledge of their effectiveness in lowering carbon emissions and promoting a transition to greener energy systems [2,5,19,20,25,28]. Identifying the hurdles and enablers of RE adoption can also aid in developing policies that expedite the deployment of renewable technology [29].…”

Dynamic connectedness amongst green bonds, pollution allowance policy, social responsibility and uncertainty

“…GBs, renewable energy and SRI) might interact with uncertainties in several ways. One method stems from the fact that it is difficult to predict the outcomes of investments due to uncertainties related to climate projections and developments in natural systems and sectors that are affected by other uncertainties (Li et al, 2022(Li et al, , 2023. This lack of predictability can be challenging when making informed decisions for climatefriendly investment strategies.…”