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Food security has become one of the global challenges; therefore, monitoring food consumption is required. As food consumption is a resultant of food availability at an affordable price, food expenditure actually is a key indicator to assess food security policy. Particularly, the link of food expenditure with socio-economic factors based on the perspective of spatial connectivity should be understood as nowadays food supply and demand between regions are increasingly connected. This study aims to define socio-economic driving factors of food expenditure that considering spatial connectivity between provinces in Indonesia. Data of household food expenditure and socio-economic factors by province including urbanization level, economic growth, gross domestic regional product (GDRP) per capita, poverty severity index, and unemployment rate were used. The preliminary test on the spatial correlation of food expenditure showed a significant result; thus, a spatial regression approach was employed. The results showed that declining food expenditure did not simply indicate increasing prosperity. Larger income disparity among the poor has become crucial to detect lower food expenditure caused by a lack of income. In addition, the increasing unemployment rate was followed by increasing food expenditure. Despite economic growth, increasing GDRP per capita and urbanization contributing to declining food expenditure, both poverty and unemployment are the main issues that threaten household's ability to afford food. Furthermore, the effect of food expenditure in the neighboring region is also significant, but it shows a contradictory relationship as food expenditure in a region is decreasing when food expenditure in its neighbors is increasing, and vice versa. Therefore, reducing disparities in economic growth, GDRP per capita, urbanization, poverty, and unemployment rate between provinces is also crucial to support more equal food expenditure as well as to achieve the second goal of SDG's (Sustainable Development Goals) in improving food security.

Urbanization has become a global phenomenon that affects the food system. Some studies revealed that urbanization increases income/capita, thus transforming food consumption from cereals to animal products, vegetables, and fruits. Urbanization, particularly in developing countries, not only produces economic benefits but also various issues that might lessen peoples’ capacity to afford food. This study aims to analyze the impact of urbanization on food consumption, food composition, as well as farming performance. Series of consumption data since 1976 and statistical descriptive approaches were employed. The results showed a trend of declining the share of food expenditures, especially in urban areas, which is commonly regarded as a sign of increasing prosperity. Surprisingly, food composition remained stable, dominated by rice, due to lower-income and higher non-food expenditures of urban inhabitants mainly for housing, transportation, water and energy. The stagnancy of food composition provides less incentive for farmers; thus, farming is dominated by low-revenue paddy fields, uneducated laborers, and older farmers. Based on these findings, some recommendations can be suggested: (1) incorporating food composition and farming performance into food security policies, instead of merely focusing on the compliance of food supply and demand, (2) linking food issues with non-food issues, especially with urban planning, housing development, and transportation management to increase the income capacity of the society to purchase a greater variety of food, and (3) developing food diversification served by urban food vendors to support the benefits of the farming business.

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Firstly, based on the data of China’s noncompetitive input–output tables from 2002 to 2017, this paper comprehensively grasps the integration trend of China’s agriculture-related industries and digital economy industries by constructing integration contribution and interaction indicators. Secondly, the correlation between the two industries is analyzed more intuitively with the help of the APL (Average Propagation Length) model. Finally, it analyzes the coordination of the digital economy industry and the transformation of the agriculture industry with the help of the grey correlation method. The results show that the digital economy industries contribute the most in absolute terms, compared to other industries, to the agro-processing industry and have the highest degree of integration and interaction with the agricultural product transportation and marketing industry. In terms of the breakdown of the digital economy industries, digital product manufacturing is weakly linked to agriculture-related industries, but the coordination among the transformation and upgrading of agriculture is gradually improving. Compared to digital product manufacturing, the digital technology application industry has a higher direct contribution to the agriculture-related industry. After 2012, the overall driving and pulling effect on the agriculture-related industry is basically the same, and the coordination with agricultural transformation and upgrading is optimal. The contribution of the digital factor-driven industry to agriculture-related industries experienced an explosive period after 2012, with the highest overall contribution and strongest industrial linkage between the two, while coordination with the transformation and upgrading of agriculture decreases. Therefore, in combination with the No. 1 document of the Central Government in 2022, which specifically calls for the implementation of the “digital business to promote agriculture” project and the promotion of e-commerce in the countryside, this paper puts forward suggestions to give full play to the role of digital technology in the sustainable development of agriculture-related industries.

Agricultural products are essential for human survival, and strengthening agricultural trade cooperation between China and countries along the “Belt and Road” (B&R) can promote food security, but there are few studies on bilateral trade fluctuation factors in the literature. This paper uses the modified multi-country multi-product CMS (constant market share) model and the two-country multi-product CMS model to decompose the fluctuation of agricultural trade between China and B&R countries by stage, region, and agricultural product type. The results show that in recent years, in the fluctuation of China’s exports to B&R countries, in overall agricultural products, the demand effect plays a major hindering role, accounting for −9.2%; in the region, Southeast Asia has the largest share of trade, which is mainly pulled by the joint demand effect, structural effect and competitiveness effect; in specific agricultural products, animal, fruit and vegetable, and food processing products are mainly pulled by competitiveness. In the fluctuation of B&R countries’ export to China, in overall agricultural products, the demand effect pulls the largest share, accounting for 72.55%; in the region, Southeast Asia is mainly driven by the joint pull of demand effect, structural effect. and competitiveness effect; in specific agricultural products, animal, fruit and vegetable, and food processing products are mainly driven by the pull of demand effect. The findings of this paper can provide a basis for making decisions on food security cooperation between China and B&R countries.

This study investigates the factors that affect farmers’ access to Food Security and Agricultural Credit (FSAC) services for the farmers of Pakistan who have no access to banking but have a feasible farm business. Using multiple regressions and logistic analysis, the authors revealed the determinants of farmers’ financial literacy and analyzed the variables which affected the farmers’ accessibility to FSAC. Results indicated that the average financial literacy of respondents was at a moderate level. It was affected by the age of respondents, length of their education, distance to nearby cities, ownership of bank accounts, annual income, and financial education experience. The FSAC accessibility was also impacted by the area of cultivated land, interest rate, collateral, farms’ income, financial literacy index, credit accessibility experiences, the legal status of farmer groups, and the amount of a loan. Some of the issues that prevent farmers from having widespread access to the FSAC include the lack of loan need, lack of FSAC awareness, lack of collateral, loan usury perspective, loan rejection experience, fear of borrowing from the bank, and inactive farmer groups. The study contributes to the existing literature on the determinants of farmers’ access and choice of credit sources by using a primary data set.