The problem of food insecurity has become increasingly critical across the world since 2015, which threatens the lives and livelihoods of people around the world and has historically been a challenge confined primarily to developing countries, to which the countries of Central Asia, as typical transition countries, cannot be immune either. Under this context, many countries including Central Asian countries have recognized the importance of trade openness to ensure adequate levels of food security and are increasingly reliant on international trade for food security. Using the 2001–2018 panel data of Central Asian countries, based on food security’s four pillars (including availability, access, stability, and utilization), this study empirically estimates the impact of trade openness and other factors on food security and traces a U-shaped (or inverted U-shaped) relationship between trade openness and food security by adopting a panel data fixed effect model as the baseline model, and then conducts the robustness test by using the least-squares (LS) procedure for the pooled data and a dynamic panel data (DPD) analysis with the generalized method of moments (GMM) approach, simultaneously. The results show that: (1) a U-shaped relationship between trade openness and the four pillars of food security was found, which means that beyond a certain threshold of trade openness, food security status tends to improve in Central Asian countries; (2) gross domestic product (GDP) per capita, GDP growth, and agricultural productivity have contributed to the improvement of food security. Employment in agriculture, arable land, freshwater withdrawals in agriculture, population growth, natural disasters, and inflation rate have negative impacts on food security; and (3) this study confirms that trade policy reforms can finally be conducive to improving food security in Central Asian countries. However, considering the effects of other factors, potential negative effects of trade openness, and vulnerability of global food trade network, ensuring reasonable levels of food self-sufficiency is still very important for Central Asian countries to achieve food security. Our research findings can provide scientific support for sustainable food system strategies in Central Asian countries.

Low technical efficiency and excessive usage of chemical fertilizer in grain production is a problem commonly faced by China and many other developing countries, which leads to serious environment pollution and high environmental governance cost. China is the largest rice producing and consuming country, and several kinds of rice are grown in China and all of which are important edible grain. However, there has been no systematic research on kind difference and provincial difference of technical efficiency of chemical fertilizer use (TEFU) for rice production. Using the data of China’s 22 rice production provinces from the China Agricultural Product Cost-Benefit Compilation and the China Statistical Yearbook, this study measures the TEFU for early indica rice, intermediary indica rice, late indica rice, and japonica rice production by using a stochastic frontier production function (SFPF) model, and then analyzes TEFU’s influencing factors using a Tobit model and conducts the robustness check using a panel data fixed effect model. We found that, on average, TEFU for four kinds of rice production were improved significantly during 1997–2018, increasing by 67.70%, 39.93%, 14.76%, and 21.88%, respectively. TEFU for China’s rice production have significant differences among different kinds and production provinces, and still have large improvement potential. Government’s fiscal support to agriculture, agricultural labor productivity, agricultural mechanization, effective irrigation, and implementation of the “Soil Testing and Formulated Fertilization Program” (STFFP) have significant positive impact on TEFU; and natural disaster and fertilizer price have significant negative impact on TEFU.

Trade is an important means to achieve the Sustainable Development Goals (SDGs) Target 2.1 “Zero Hunger”, and comparative advantage can be used to explain the causes and performance of trade. This study measures the static distribution of agricultural trade comparative advantage in countries along the Belt and Road (B&R) and China by utilizing the Balassa revealed comparative advantage (RCA) index, and further calculates its dynamic change by utilizing the revealed symmetric comparative advantage (RSCA) index and the ordinary least squares correlation analysis. The results show that: (1) in the face of multiple unfavorable factors, the initial comparative advantage of most agricultural products at Harmonized System (HS) 2-digit level in countries along the B&R and China deteriorated, simultaneously, but the initial comparative disadvantage of most and some agricultural products at HS 2-digit level in countries along the B&R and China improved, respectively; (2) the present agricultural trade comparative advantage in most countries along the B&R was higher than China and had a larger extent of change, but the current product structure of their bilateral agricultural trade was in line with each other’s comparative advantage, indirectly proving the validity of the Heckscher–Ohlin theorem. Our research findings suggest that the agricultural trade comparative advantage in countries along the B&R and China need to be further utilized to improve agricultural trade performance and better play its important role in ensuring global, regional, and national food security.

Under the condition of opening up, participation in international specialization and global value chains (GVCs) has become the main source for more and more countries to obtain foreign resources and advanced technologies, thereby promoting productivity improvement and technological progress. What are the pathways of agricultural GVC participation that affect agricultural total factor productivity (TFP)? Is the impact of agricultural GVC participation on agricultural TFP consistent across different statuses and modes of agricultural GVC participation? This paper elaborates on the theoretical mechanism of agricultural GVC participation affecting agricultural TFP, and then empirically estimates the impact of different statuses and modes of agricultural GVC participation on agricultural TFP by taking 58 countries as examples. The results show that agricultural GVCs affect agricultural TFP by several direct and indirect pathways. There was a U-shaped relationship between agricultural GVC participation and agricultural TFP, which means that after crossing a certain threshold, the former has a positive impact on the latter. By participating in agricultural GVCs, agricultural TFP in high-income and upper-middle-income countries was significantly improved, while in lower-middle-income countries it was not. Both forward and backward agricultural GVC participation were conducive to improving agricultural TFP in high-income and upper-middle-income countries, but only backward agricultural GVC participation was conducive to improving agricultural TFP in lower-middle-income countries. Therefore, every country needs to actively explore its optimal pathway to participate in agricultural GVCs in order to maximize the participation benefits and promote the improvement in agricultural TFP, simultaneously.

The state of food security in the world, including that of Europe and Central Asia (ECA), was highlighted in 2020 by the outbreak of the COVID-19 pandemic, when the fact that the food security status of millions of people in ECA, particularly the most vulnerable and those living in fragile contexts, would deteriorate if swift action was not taken as soon as possible became apparent. Improving cereal yield is the key for the ECA to achieve the Sustainable Development Goal (SDG) Target 2.1 to end hunger by 2030. Impressive cereal yield growth has been witnessed within the ECA from 1991 to 2020, but there is still significant variation across the five sub-regions. This paper aimed to analyze the evolutionary trends and convergence of cereal yield in countries of the ECA from 1991 to 2020 for four major cereals: wheat, maize, barley and oats. The findings show that there is strong evidence of σ-convergence and absolute and conditional β-convergence for cereal yield in the ECA, which indicates that countries with low yield in the initial stages have totally experienced higher growth rate, and yield in countries farther away from the steady-state have to have faster growth rate to converge to the steady-state. The presence of club convergence is also identified in terms of geographic location and income level, simultaneously. Therefore, cereal yield in the ECA has converged to the whole and to different groups at the same time, which provides some evidence of agricultural technology spillover effect in the region.