The intensive use of pesticides has attracted great attention from the Chinese government. However, current regulations have had limited influence on their safe use. Although the acute neurologic effects of pesticides have been well documented, little is known about their cumulative effects. Knowledge of the impact of pesticides on health may convince farmers to minimize their use. We conducted a cross-sectional study in three provinces of China to evaluate the relationship between pesticide exposure and neurological dysfunction. Crop farmers were divided into two groups depending on their level of pesticide exposure. A total of 236 participants were assessed by questionnaire and neurological examination for symptoms and signs of neuropathy. Characteristics of neurologic dysfunction following cumulative low-level exposure were assessed with logistic regression analysis. Farmers exposed to high-level pesticide use had greater risk of developing sensations of numbness or prickling (odds ratio (OR) 2.62, 95% confidence interval (CI): 1.08–6.36). After adjusting for recent exposure, the risk of numbness or prickling symptoms (OR 2.55, 95% CI: 1.04–6.25) remained statistically significant. Loss of muscle strength and decreased deep tendon reflexes had OR > 2, however, this did not reach statistical significance. These findings suggest that overuse of pesticides increased risk of neurologic dysfunction among farmers, with somatosensory small fibers most likely affected. Measures that are more efficient should be taken to curb excessive use of pesticides.

Air pollution has become an increasingly serious environmental problem in China. Especially in winter, the air pollution in northern China becomes even worse due to winter heating. The “coal to gas” policy, which uses natural gas to replace coal in the heating system in winter, was implemented in Beijing in the year 2013. However, the effects of this policy reform have not been examined. Using a panel dataset of 16 districts in Beijing, this paper employs a first difference model to examine the impact of the “coal to gas” policy on air quality. Strong evidence shows that the “coal to gas” policy has significantly improved the air quality in Beijing. On average, the “coal to gas” policy reduced sulfur dioxide (${\mathrm{SO}}_2$), nitrogen dioxide (${\mathrm{NO}}_2$), particulate matter smaller than 10 µm (PM10), particulate matter smaller than 2.5 µm (PM2.5) and carbon monoxide (CO) by 12.08%, 4.89%, 13.07%, 11.94% and 11.10% per year, respectively. We find that the “coal to gas” policy is more effective in areas with less energy use efficiency. The finding of this paper suggests that the government should continue to implement the “coal to gas” policy, so as to alleviate the air pollution in Beijing, China.

While the aging of agricultural labor force and its impact on agricultural production have been attracting extensive attention, little is known about the relationship between aging of agricultural labor force and technical efficiency in tea production. Using the stochastic frontier analysis and cross-sectional survey data covering 241 tea-producing farmers in Meitan County in China, this study attempts to investigate the impact of aging of tea-producing farmers on technical efficiency in tea production in the mountainous areas of southwestern China. The results show that the average technical efficiency in tea production is 0.581, implying a great room for improving technical efficiency in tea production in Meitan County. While there might exist an inverted U-shaped relationship between farmers’ age and technical efficiency, the aging of tea-producing farmers would exert negative impact on technical efficiency in tea production. In addition, rural–urban migration experience, number of household laborers, distance from home to village committee, and township location are also significantly related with technical efficiency. The findings in this study are proved to be robust. Hence, several policy implications for meeting the challenges from aging of agricultural labor force and improving technical efficiency in tea production in the mountainous areas of southwestern China are also discussed.

Since a variety of barriers pose challenges to the Indian wind energy sector, the extent to which these barriers hamper this sector and the alternative solutions are largely unknown. We identify several barriers using existing literature, and then using the modified Delphi approach, refine 25 barriers and classify them into five significant dimensions. Later, the Analytical Hierarchical Process determined the ranking of barriers using pairwise comparison matrices. The Grey Technique for Order Preference by Similarity to Ideal Solution method ranked alternative solutions to these barriers. Results indicate that “financial barrier” is the most important barrier among all dimensions, while “limited government subsidy” is most influential among all sub-barriers. “Availability of adequate funds” is the best alternative to overcome these barriers. Finally, a sensitivity analysis is performed to validate the study findings. The study findings may assist practitioners and policymakers in boosting the current sluggish growth of the Indian wind sector.