Smartphones are increasingly used in rural areas and have become indispensable new farming tools in farmers’ production and their lives. Based on data from the 2018 China Household Tracking Survey, this study uses ordinary least squares regression with two-stage least squares as a benchmark regression to investigate the impact of the extent of smartphone use on farm household income. Our findings are as follows. ① The degree of use of new smartphone farming tools has a significant income-increasing effect on farm households. ② There is variability in the impact of the use of new smartphone farming tools on the income of farmers in different regions. The highest income-generating effects on the use of smartphone tools were found in the western region, followed by the eastern region, with the smallest effects found in the central region. ③ Low-income farmers have the highest income effects from using new smartphone farming tools. We therefore recommend further improving the digital infrastructure in rural areas to give full play to the driving force of digital technology.

This study examines the current state of China’s agricultural exports to ASEAN countries using a segmented export structure analysis via a stochastic frontier gravity model, based on panel data from 2007 to 2020. The results indicate that: (1) China’s primary agricultural exports to ASEAN countries include plant products, food and beverages, and tobacco, with animal products mainly exported to Thailand, plant products mainly exported to Vietnam, and animal and plant fats, food, beverages, and tobacco mainly exported to Malaysia. (2) The economic scale and population size of China and ASEAN countries have differing impacts on various markets, while distance significantly negatively affects the exports of animal products, plant products, food, beverages, and tobacco. Additionally, ASEAN countries’ per capita carbon emissions positively influence the exports of these product categories. (3) The liner shipping connectivity index is significantly negatively correlated with trade inefficiency. The influences of financial freedom, trade freedom, investment freedom, and government expenditure on trade inefficiency vary across ASEAN countries. (4) China’s export efficiency for animal products, plant products, food, beverages, and tobacco has increased rapidly to Thailand and Vietnam, with Malaysia and Singapore showing high export efficiency, while that to Cambodia lags. (5) China exhibits significant export potential to Thailand, Indonesia, and Vietnam, with substantial expansion opportunities in Indonesia. Moreover, China’s export potential and opportunities in Cambodia are steadily increasing.

New-type urbanization (NTU) in China not only effectively promotes socio-economic transformation but also serves as a significant driving force for the coordinated development of regional social and environmental demands. Using data from China spanning 2007–2018, this study examines the effects and mechanisms of NTU on regional public health (RPH) by constructing panel fixed-effects, threshold-effects, moderated-effects, and spatial spillover models. The findings are as follows: ① NTU plays a significant role in promoting RPH. Threshold analysis reveals distinct threshold effects for employment density and industrial structure sophistication. ② Socio-economic agglomeration plays an important moderating role in the relationship between NTU and RPH. Specifically, there is a significant substitution effect between economic agglomeration and NTU in affecting RPH, while population agglomeration improves NTU’s positive effect. ③ Across the eastern, central, and western regions, NTU has a positive impact on RPH, with the strength of influence increasing progressively. However, in economically developed regions, the effect is non-significant. ④ NTU shows significant spatial spillover effects on RPH, with indirect effects exceeding direct effects. The main factor influencing NTU’s inhibitory effect on RPH is whether regions are adjacent.

As people’s awareness of the special functions of selenium continues to deepen, the development of selenium-rich food continues to develop, and selenium-rich places have been vigorously developing this resource-based industry. The development of selenium-rich agriculture is of great significance to improve people’s quality of life and promote agricultural, rural and regional economic development. This paper analyzes the factors affecting consumers’ willingness to purchase selenium-rich agricultural products in detail through questionnaire survey data of some consumers in Jiangxi, Ensh, Hubei and Ankang, Shaanxi, using three analytical methods of descriptive statistical analysis, factor analysis and logistic regression analysis with SPSS software. The research results show that consumers’ attitude toward selenium-rich agricultural products, price concerns, consumers’ family characteristics, health and environmental protection motives, gender and other factors have certain influence on consumers’ willingness to purchase selenium-rich agricultural products, among which the attitude factor and family characteristics have the greatest influence. Finally, the market prospect of selenium-rich agricultural products in China is analyzed and prospected, and the measures and suggestions for developing selenium-rich food are proposed in response to the problems of developing selenium-rich food in China.

Although collective forest tenure reform (CFTR) has improved the legal tenure security of forestland, its impact on increasing farmers’ income is unsustainable. This study used a multiple linear regression model to empirically analyze data from 505 farmers in Jiangxi Province, examining the impact of legal, actual, and perceived tenure security on rural household income, and incorporating migration into the framework. The findings indicate that both actual and perceived tenure security have a substantial positive impact on the total rural household income and forestry income. However, it is worth noting that legal tenure security only has a positive effect on forestry income. Furthermore, outside-of-county labor migration can serve as a mediator for the income effects of actual and perceived tenure security. However, the mediating effect of intra-county labor migration is not considerable. The study found that the increase in income due to the security of actual tenure security is significant for the group of people who own less than 50 mu of forestland. However, both actual and perceived tenure security have a significant impact on income for the group of people who own more than 50 mu of forestland. The aforementioned findings indicate that, in the ongoing extensive advancement of collective forest right reform, it is crucial to prioritize the execution of forest reform policies at the local level and enhance farmers’ awareness and comprehension of said policies. In addition, the government should enhance the monitoring system for policy implementation and intensify efforts in publicizing these policies, in order to fully utilize the benefits of CFTR.

With the increasing occurrence of labor migration (LM), off-farm employment has emerged as a crucial means to augment the income of agricultural households, bridge the urban-rural divide, and achieve rural regeneration. This study utilized a multiple linear regression model and quantile regression model to examine the effect of LM location on rural households’ income. The analysis is based on research data from Jiangxi Province in 2018. The outcomes reveal that both intra-country LM and outside-of-county LM could make a substantial contribution to the increase of overall household income. However, the coefficient of impact for outside-of-county LM is greater. The findings of this study successfully passed the rigorous tests for robustness and endogeneity. Furthermore, the quantile regression analysis indicates that the greatest income-generating impact of intra-county LM occurred at the 90% quantile, whereas the highest income-generating impact of outside-of-county LM appeared at the 75% quantile. The study aims to determine if there is a variation in the income impact of LM in samples with distinct features. Specifically, it investigated the scale of forestland management and the LM of the household head. The results show that the promotion effect of intra-county LM on the total income of rural households was only observed in the sample group with a forestland area larger than 50 mu. Additionally, outside-of-county LM could only promote the growth of the total income of rural households in the sample group in which the head of household has not experienced labor migration. Hence, to enhance the growth of income for rural households amidst China’s urbanization, policymakers should facilitate the controlled migration of labor from rural areas to urban areas while also encouraging the migration of labor within rural areas.