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ID:
192732
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| Summary/Abstract |
Choosing renewable fuels for household cooking is of great significance for environmental protection. Using data from the 2016 China Family Panel Studies, this study empirically explores the impact of the human capital of rural household heads, measured by cognitive and noncognitive skills, on household cooking fuel choices and their mechanisms. The findings of this study are as follows: (1) improving the cognitive and noncognitive skills of rural household heads can significantly promote the use of renewable cooking fuels; (2) these two skills influence household renewable fuel choices through income effects and information-seeking effects; (3) raising human capital significantly increases the consumption of renewable fuels for household heads aged less than or equal to 65; and (4) compared with unmarried household heads, improving the human capital of married ones can significantly increase the use of renewable cooking fuels. Therefore, universal compulsory education, village/community adult training and education, and environmental protection publicity are important measures for carbon emission reduction, environmental protection, and sustainable economic development, particularly for developing countries.
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| 2 |
ID:
177505
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| Summary/Abstract |
This paper constructs a knowledge-stock indicator to explore the trend of renewable energy technology innovation (RETI) levels across China's provinces during 1997–2015. First, the spatial-temporal evolution is analyzed. Second, the convergence characteristics and patterns are identified through the nonlinear time-varying factor model and the relative transition path curves. Third, the drivers of convergence behaviors are examined. The results are as follows: (i) China's RETI experienced a spurt of development. Its spatial pattern has changed significantly, and the average annual growth rate has also shown spatial differences; (ii) China's provincial RETI level was not converged as a whole during the sample period, but exhibited club convergence characteristics. The 30 provinces eventually converged to three clubs with large differences in average RETI level and annual growth rate; (iii) the provinces with a more optimized industrial structure, a greater R&D investment intensity, and a higher environmental regulation intensity tended to converge to the club with a higher innovation level and growth rate.
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