摘要:
Whether children who inherit social advantages or those who exhibit motivated hard work are more likely to attain superior well-being over time remains a critical question, yet has received little empirical examination. This paper aims to provide new evidence from China on this issue by deploying a natural experiment research design. The empirical analysis explores the link between early-life experiences shaped by parental family background and children's long-term well-being outcome. Using household survey data from China, we find that children born with social advantages tend to complete more years of education in rural areas but fewer years in urban areas compared to their counterparts. Our results are robust to changing the cohort selection, outcome variables, and sources of the analytical sample.
作者机构:
[Li, Yihao; Chen, Hao] Dongshin Univ, Gen Grad Sch, Naju, Jeollanamdo, South Korea.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Chen, Hao; Xu, Wei] Wuhan Polytech Univ, Food & Hlth Res Ctr, Wuhan, Hubei, Peoples R China.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Xu, Wei] Wuhan Polytech Univ, Sch Econ, Wuhan, Hubei, Peoples R China.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Xu, Wei] Wuhan Polytech Univ, Ctr Counyt Econ Dev Res Hubei, Wuhan, Hubei, Peoples R China.
通讯机构:
[Zhang, TPM ] W;Wuhan Polytech Univ, Food & Hlth Res Ctr, Wuhan, Hubei, Peoples R China.;Wuhan Polytech Univ, Sch Econ, Wuhan, Hubei, Peoples R China.;Wuhan Polytech Univ, Ctr Counyt Econ Dev Res Hubei, Wuhan, Hubei, Peoples R China.
摘要:
The "Internet Plus" era has established a closer connection between sports and individuals. This study used data from the 2018 China Family Panel Studies and focused on the middle- and younger-aged population aged 15 to 59 years. Employing a negative binomial regression model, this study empirically analyzed the impact of Internet use on physical exercise and its internal mechanisms among this population. The findings revealed that (1) Internet use significantly promoted physical exercise in the middle- and younger-aged population, with the frequency of physical exercise increasing to 1.549 times the original value; (2) The positive effects of the internet on physical exercise outweighed the negative effects, with online learning and entertainment enhancing physical exercise and online socialization limiting it. Specifically, online learning and entertainment increased the frequency of physical exercise among the middle- and younger-aged population by 0.063 and 0.018, respectively. Online socialization reduced the frequency by 0.023; and (3) The influence of internet use on physical exercise varies; significantly, it positively affects the exercise frequency among individuals over 35 years old and shows a positive correlation with employment status, including both employed individuals and those out of the labor market. The positive role of Internet use in encouraging physical exercise participation among the middle- and young-aged groups should be valued and enhanced.
关键词:
Industrial intelligentization;Industrial structure;Industrial structure supererogation;Industrial structure rationalization;Industrial elements synergy
摘要:
Based on the provincial panel data from 2010 to 2019, taking industrial robots as proxy variables, this paper analyzes the impact of industrial intelligence on industrial structure change through constructing the indicators of optimization, rationalization and synergy of industrial structure and agriculture upgrading, industry upgrading, and service upgrading. Results show that the industrial intelligence has significant effect on the quantity and quality of industrial structure upgrading and the industrial elements synergy, but has no positive effect on the rationalization of industrial structure. Within the industry, it has significantly promoted the upgrading of the automobile industry and the traditional manufacturing industry. It has significantly promoted the transformation of producer services and consumer services, but has no significant impact on the upgrading of agriculture. Further mechanism tests confirm that productivity improvement, capital deepening, labor structure upgrading, industrial spillover and demand traction play mediating roles. Based on the research, policy suggestions are put forward to promote industrial transformation and upgrading.
关键词:
Manufacturing intelligence;High-quality growth;Energy efficient;Total factor productivity;Green total factor productivity
摘要:
Manufacturing intelligence is an important starting point to achieve high-quality economic growth. Based on the non-radial and non-angular DEA-SBM model, combined with the Malmquist index method, this paper calculates the total factor productivity and green total factor productivity of 286 prefecture-level cities in China, which are used as the indicators of high-quality economic growth. At the same time, the proxy variables of manufacturing intelligence are further constructed, and the impact of intelligent manufacturing on high-quality and energy-efficient economic growth is empirically analyzed. It is found that intelligent manufacturing significantly promotes China’s high-quality and energy-efficient economic growth. Productivity is further decomposed into specific indicators such as technical efficiency, technological progress, pure technical efficiency, pure technical progress, scale efficiency and scale technology, and the mechanism of intelligent manufacturing is analyzed from multiple angles. The research finds that manufacturing intelligence improves the total factor productivity through technological progress effect. Green total factor productivity has been improved through the improvement of technical efficiency effect, but the development of intelligence has brought new challenges to China's labor market. In order to further develop the potential of intelligence, it is necessary to further improve the enterprises’ scale efficiency, while increasing the research and development of energy technology.
摘要:
Soybeans play a critical role in China's food system and hold significant importance in ensuring national food security. This study explores the correlation between soybean futures prices and international soybean import prices. It employs a time-series model to analyse the volatility of the soybean futures market. The results demonstrate a significant correlation between soybean futures prices and their historical returns, as well as international soybean import prices. Fluctuations in international soybean prices notably impact domestic soybean futures prices, and market information exhibits asymmetrical effects on futures prices. The study's conclusions hold important implications for understanding the volatility of the soybean futures market and its response to changes in international soybean prices.