Research on the impact of climate change on the income gap between urban and rural areas-empirical analysis based on provincial panel data in China.

Narrowing the income gap between urban and rural areas is the key to achieving common prosperity in China. On the basis of analyzing the mechanism of climate change's impact on urban-rural income gap, this article empirically analyzes the impact of climate change on urban-rural income gap using provincial-level panel data of 30 provinces in China from 2011 to 2020. Research indicates that climate change significantly impacts the urban-rural income gap at the 1% significance level, implying that climate change exacerbates the urban-rural income gap.

Clean Household Energy Consumption and Residents' Well-Being: Empirical Analysis and Mechanism Test.

Improving well-being is a critical problem for worldwide social progress. Research on well-being effects of clean household energy consumption is of great significance for the realization of United Nation's Sustainable Development Goals (SDGs). Due to the multifaceted role of clean household energy in enhancing well-being as a sustainable development goal, it has attracted extensive academic attention and research but still needs to be further refined through new perspectives.

Household clean energy consumption and health: Theoretical and empirical analysis.

The impact of energy consumption on health has become a widely debated topic around the world. However, much of the current research on this topic lacks a theoretical basis. As a result, this paper employs both theoretical and empirical analysis to investigate the impact of household clean energy consumption on residents' health.

Does Cleaner Household Energy Promote Agricultural Green Production? Evidence from China.

Cleaner household energy for agricultural green production can significantly alleviate energy poverty and food security, thus contributing to global sustainable development. Using survey micro-data collected from Sichuan Province, the ordered probit model, OLS model, and instrumental variables approach were applied for empirical analysis. The results show that: (1) cleaner household energy significantly enhances farmer's agricultural green production awareness and improves agricultural green production levels, which is still significant after treating endogenous issues with the conditional mixing process estimation method and 2SLS model; (2) health plays a partially mediating effect of cleaner household energy on agricultural green production awareness and agricultural green production levels; (3) environmental protection awareness and digital literacy have a moderating effect and reinforce the positive impact of cleaner household energy on agricultural green production awareness and agricultural green production levels.

How Does Clean Energy Consumption Affect Women's Health: New Insights from China.

The United Nations (UN) has identified the promotion of cleaner energy and improving women's health as two important elements in achieving the global sustainable development goals. However, the impact of household clean energy consumption on women's health needs to be further analyzed and improved based on new methods, new data, and new perspectives. This paper used the data from the 2018 China Health and Retirement Longitudinal Study as the sample, and the Ordered Probit model, the instrumental variable (IV) approach, the conditional mixed process (CMP) method, and the mechanism analysis model were applied to empirically investigate the impact of cleaner household energy consumption on women's health.

Study on the impact of environmental pollution on farmland abandonment.

Farmland abandonment, as a manifestation of the low efficiency of the rural economy, has a profound impact on the process of agricultural and rural modernization. This study uses the 2016 China Labor Force Dynamic Survey data based on 8116 samples from 104 cities, constructs the Tobit model and IV Tobit model to analyze the land abandonment quantitatively from the perspective of environmental pollution. The results show that (1) environmental pollution can significantly increase the probability and area of land abandonment, (2) there is significant regional heterogeneity in the impact of environmental pollution on land abandonment, (3) the impact of environmental pollution on land abandonment varies significantly with different family sizes and land management scales, but the land management scale is relatively more sensitive.