On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China.

The sustainable development of China's economy and society has been restricted by energy and environmental issues. With the implementation of the Rise of Central China strategy, Henan, a populous province in China, is facing the threat of an energy shortage as its economy grows steadily and the urbanization process accelerates. Using panel data of 18 cities in Henan Province for the period of 2006-2018, this study investigates the relationship between energy consumption and economic and social development variables based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and threshold regression method.

The spatial spillover effect and nonlinear relationship analysis between environmental decentralization, government corruption and air pollution: Evidence from China.

The massive development of the Chinese economy is being hindered by the deteriorating air pollution problem. Many methods have been used by the Chinese government to solve this environmental dilemma, out of which environmental decentralization is one of the important measures. The transparency of environmental decentralization may be weakened by the existence of the corruption problem, resulting in further deterioration of the air pollution problem.

Does environmental pollution inhibit urbanization in China? A new perspective through residents' medical and health costs.

Health problems caused by environmental pollution may affect the process of urbanization in China. Therefore, this study, against the backdrop of promoting new-type urbanization, evaluates the level of China's urbanization comprehensively using the fully arranged polygon graphical index method. It uses a dynamic threshold panel model to study the potential non-linear relationship between environmental pollution (wastewater, sulfur dioxide, and solid wastes) and urbanization under different health costs of residents.