Jianping Li

This study examines agroclimatic and economic factors as determinants of total factor productivity (TFP) in Myanmar’s rice sector, with a focus on the Ayeyarwady Delta. The analysis integrates regional time series climate data from 1981 to 2024 with village‑level survey data collected in 2024. We employ fixed effects and dynamic Common Correlated Effects (DCCE) estimators to address endogeneity and identify short‑ and long‑run relationships. The findings reveal that high temperature is a major constraint: a 1% increase in temperature is associated with a 1.44% decline in TFP in the Ayeyarwady region, equivalent to approximately 3.9% for a 1 °C increase at the mean temperature level. The dynamic model shows that humidity and solar radiation exert significant negative effects in the short run, while precipitation, solar radiation, and wind speed significantly influence TFP in the long run. Empirical evidence indicates diminishing returns to capital expenditure but strong positive effects of labor. Access to irrigation is associated with higher TFP (0.170 standard deviation increase), though its effectiveness depends on management practices. Credit access shows no significant direct effect but positively moderates the impacts of temperature, solar radiation, wind speed, and soil wetness, suggesting that credit can support climate adaptation when appropriately targeted. Collectively, these results highlight critical synergistic relationships between climatic and economic variables that underpin agricultural resilience in the context of regional environmental transformation. Based on these findings, we discuss policy implications including: (1) targeted investments in climate‑resilient irrigation infrastructure; (2) promotion of heat‑tolerant rice varieties alongside modern agricultural machinery; and (3) reform of credit mechanisms to support productivity‑enhancing climate adaptations.

Food provided a material foundation for the development of human society and was an important cornerstone for ensuring national security. The Chinese government has always attached great importance to food security, which is not only related to economic development and social stability but also to national security and self-reliance. As the core region for grain production and the supply of staple food in China, the major grain-producing areas account for 78.25% of the total national grain output, truly earning the title of China’s “granary”. Considering the establishment of 13 major grain-producing regions across the country in 2004 as a quasi-natural experiment, the impact of policies in major grain-producing regions on ensuring national food security is examined using a difference-in-differences method based on inter-provincial panel data for 30 provinces across the country from 1997 to 2020, and the mechanisms of their effects are further analyzed. The findings show that (1) the main producing-areas policy has a significant driving effect on China’s food security, with an average annual increase of 0.0351 units in the food-security index, and the impact is expanding year by year. (2) The policy of the main grain-producing provinces mainly plays a role in guaranteeing food security by expanding the scale of grain cultivation and the scale of family land management in the main grain-producing provinces, and the scale effect of grain cultivation has a more significant impact. Further adjusting and improving the policy of the main grain-producing areas and expanding the scale-driven effect of this policy are of great significance for transforming agricultural production methods and realizing a strong agricultural country.

The challenging international landscape and exacerbated extreme weather conditions contribute to the instability of global grain trade, complicating its impact on food security. This complexity is particularly pronounced for varieties like rice, which are heavily affected by policy-driven trade restrictions. There is insufficient research on how a country’s rice trade characteristics affect food security. A network analysis approach is adopted to intricately dissect the structural characteristics of rice trade. To explore causality with food insecurity, this paper chooses structural holes and centrality as representatives of trade network characteristics and regresses them on the food insecurity indicator. With cross-national data spanning over 30 years, the network analysis provides a clear portrayal of the dynamic changes in international rice trade. The overall resilience of the trade network has increased, but specific countries’ vulnerability has also risen. Unlike the changing trends in features observed in grain and food trade networks, there is a notable intensification in the imbalance of power distribution in the rice trade network compared to over 30 years ago. The panel data regression results show that constraint, indicating the scarcity of structural holes or connections to stronger trading partners, significantly and positively influences a country’s level of food insecurity. Based on these findings, the policy proposal for importing countries emphasizes creating strategic trade connections. By choosing appropriate trade partners that reduce constraint, food security can be enhanced, even without improvements in other conditions.

Based on the panel data of 31 provinces in China from 2005 to 2020, this paper analyzes the mechanism and spatial spillover effect of agricultural insurance on the urban–rural income gap using a fixed effect model, an intermediary effect model, and a two-stage least square method. The results show that agricultural insurance has a significant inhibitory effect on the income gap between urban and rural areas. This inhibitory effect is realized through the path of “improving the development level of agricultural insurance-improving agricultural total factor productivity-reducing the income gap between urban and rural areas”, in which the intermediary effect of agricultural total factor productivity accounts for 19.74% of the total effect. At the same time, the income gap between urban and rural areas in China exhibits typical spatial agglomeration characteristics. The western region has always been the region with the largest income gap between urban and rural areas, while the eastern region is the region with the smallest income gap between urban and rural areas. The development of agricultural insurance has had a spatial spillover effect on the income gap between urban and rural areas, and the development of agricultural insurance in neighboring areas expands the income gap between urban and rural areas in this region. In order to prevent the siphon effect, agricultural insurance investment should be increased in the neighboring regions. The results of this paper support the view of the resource flow model. Finally, we put forward some suggestions for the development of agricultural insurance, improvement in agricultural total factor productivity, and the narrowing of the income gap between urban and rural areas.

What’s the relationship between environmental disclosure and financial performance? To answer this question, our study focus on the heavy polluting enterprises in China from 2008 to 2019 to investigate the relationship between environmental disclosure and financial performance as well as the mediating effect of provincial level characteristics namely economic development and information penetration using hierarchical linear model (HLM). Findings show that there is positive relationship between both mandatory environmental disclosure and voluntary environmental disclosure and financial performance; economic development positively relates to corporate financial performance, and it also strengthens the relationship between environmental disclosure and financial performance; information penetration positively relates to corporate financial performance, but it weakens the relationship between environmental disclosure and financial performance. As time goes on, corporate financial performance will significantly rise in general.