Assessing the effects of extreme climate risk on urban ecological resilience in China.

The frequent occurrence of extreme weather events has imparted significant pressure on urban ecosystem management. Evaluating the relationship between extreme climate risk (ECR) and urban ecological resilience (UER) is a key issue in achieving the green and sustainable development objectives of cities. This study measures UER in China from 2005 to 2020 using the entropy weight method-TOPSIS method, investigates the relationship between ECR and UER using the dynamic GMM model, and further explores the influencing mechanism.

Facilitate or Inhibit: Corporate Environmental Performance and Financing Costs.

The proposed carbon peak and carbon neutralization goals have ushered China into an era of emissions reduction and a climate-oriented economy. With the proposed double carbon goal, China has formulated many environmental protection and green credit policies. This paper aims to assess the impact of corporate environmental performance (CEP) on financing costs, using a panel dataset of companies in China's heavily polluting industries from 2010 to 2019.

Pollution prevention strategies of SMEs in a green supply chain finance under external government intervention.

Small- and medium-sized enterprises (SMEs) are an important force in the promotion of economic development. However, SMEs in the supply chain are often severely punished by the government for polluting the environment through their production processes. Therefore, it is crucial to solve the environmental pollution problem of SMEs.

Measuring environmental efficiency of thermal power plants in China: an improved Malmquist-Luenberger index with materials balance principle.

Improving environmental efficiency of thermal power plants is a crucial way to realize green and sustainable development. This paper investigates environmental efficiency of thermal power plants in China in 2011, 2013, and 2015 by conceptualizing a modified super-efficiency slacks-based measure with materials balance principle (MBP), which also eliminates the infeasibility in Malmquist-Luenberger index (MLI). An improved MLI is proposed based on the new efficiency measure.

Stackelberg game of buyback policy in supply chain with a risk-averse retailer and a risk-averse supplier based on CVaR.

This paper considers a decentralized supply chain in which a single supplier sells a perishable product to a single retailer facing uncertain demand. We assume that the supplier and the retailer are both risk averse and utilize Conditional Value at Risk (CVaR), a risk measure method which is popularized in financial risk management, to estimate their risk attitude. We establish a buyback policy model based on Stackelberg game theory under considering supply chain members' risk preference and get the expressions of the supplier's optimal repurchase price and the retailer's optimal order quantity which are compared with those under risk neutral case.