In the context of international food price fluctuations, agricultural economic development is usually subject to large shocks, which also leads to clear spatial–temporal differentiation in regional agricultural economic resilience. However, there is a paucity of retrievable studies on the evolutionary process of agricultural economic resilience and its impact mechanisms. Taking the impact of and disturbance caused by international food price fluctuations on the agricultural economy from 2005 to 2021 as the research background, this paper adopts the economic resilience analysis framework and selects gross agricultural output value indicators to measure the agricultural economic resilience of 12 cities in the main grain-producing areas in Northeast China–Sanjiang Plain and Songnen Plain. At the same time, the regression model is used to further analyze the spatial and temporal changes of agricultural economic resilience and the main influencing factors. Based on the results of the research, it can be concluded that: ① international food prices exert different degrees of influence on agricultural economic resilience at different stages. From 2005 to 2013, the agricultural economic resilience of the two plains changed less, and the resilience capacity performed better in both the period of falling and rising international food prices, while from 2014 to 2021, the agricultural economic resilience of the two plains changed more due to the great impact of international food price fluctuations, with a steep decline in resilience capacity in the period of falling international food prices from 2014 to 2017, followed by a rapid rebound between 2018 and 2021. ② There are differences in the resilience capacity of the agricultural economy in the main maize- and rice-producing areas. Although it is a fact that agricultural economic development in the two major plains is faster than the national average in most periods, the comparison reveals that the main corn-producing area (Songnen Plain) is more volatile and its resilience capacity is relatively weak in both periods of falling and rising food prices, while the main rice-producing area (Sanjiang Plain) is less volatile, indicating its relatively strong agricultural economic resilience capacity. ③ Factors affecting agricultural economic resilience behave differently over the three cycles. During the period of rising international food prices, indicators reflecting agricultural production capacity have a greater impact on agricultural economic resilience, while during the period of falling international food prices, indicators reflecting agricultural input intensity and agricultural support capacity have a greater impact on agricultural economic resilience.

The COVID-19 pandemic has had a great impact on the global economy and trade, and border regions have been hit severely because of their high dependency on foreign trade. To understand better the economic impact of COVID-19 on border regions, we developed a COVID-19 economic resilience analytical framework and empirically examined 10 Chinese-Russian border cities in Northeast China. We quantitatively analyzed five dimensions of economic resilience, distinguished four types of shock, and examined the determinants of economic resilience. The results show that: (1) the COVID-19 pandemic has wide-ranging impacts in the border areas, with import–export trade and retail sales of consumer goods being the most vulnerable and sensitive to the shock. The whole economy of the border areas is in the downward stage of the resistance period; (2) from a multi-dimensional perspective, foreign trade and consumption are the most vulnerable components of the borderland economic system, while industrial resilience and income resilience have improved against the trend, showing that they have good crisis resistance; (3) borderland economic resilience is a spatially heterogeneous phenomenon, with each border city showing different characteristics; (4) economic openness, fiscal expenditure, and asset investment are the key drivers of economic resilience, and the interaction between the influencing factors presents a nonlinear and bi-factor enhancement of them. The findings shed light on how border economies can respond to COVID-19, and how they are useful in formulating policies to respond to the crisis.

Various forms of agricultural subsidy policies often have a significant impact on the development of the agricultural economy and also shape the differentiated spatial pattern of regional agricultural economic resilience, while research on the evolution process of agricultural economic resilience and its influencing mechanisms is still very scarce. This study is based on the impact of China’s cancellation of the temporary corn storage policy on corn prices in 2016. By using an economic resilience analysis framework, we selected the indicators of total agricultural output value and disposable income of farmers to measure the agricultural economic resilience of various cities in Jilin Province and analyzed the characteristics and causes of the spatio-temporal change in agricultural economic resilience in Jilin Province from 2008 to 2021. The results show the following: (1) The transition from price and subsidy integration policy to decoupled subsidy policy helps to shape stronger regional agricultural economic resilience, but due to factors such as farmer policy dependence, low international corn prices, severe oversupply in the domestic corn market, and the suddenness of policy changes, there was a short-term decline in agricultural economic resilience in Jilin Province in the early stage of the decoupled subsidy policy (2016–2017), which rapidly increased after 2017. (2) The agricultural economic resilience levels of cities in Jilin Province showed different spatial differentiation characteristics at different stages within the study period, and the central region, as an important corn production area in Jilin Province, had significant changes in agricultural economic resilience. (3) During the execution of the price and subsidy integration policy, the enhancement of agricultural input capacity and agricultural output capacity helped to improve regional agricultural economic resilience; during the execution of the decoupled subsidy policy, the government’s support for agriculture and the potential of rural markets had a significant impact on the improvement of agricultural economic resilience. At the same time, the interaction and enhancement effect between influencing factors also had a profound impact on agricultural economic resilience.

Farmland transfer (FT) is the key to achieving moderate agricultural scale management in China. Clarifying the spatial pattern of FT is important to improve FT strategies. In this study, the multinomial logit model was used to reveal the spatial pattern of FT in Liaoning Province, Northeast China. On this basis, the reasons for its formation were discussed, and suggestions were proposed. According to the statistical results, 39.7% of the sample peasant households participated in FT. Most of them live far from the regional core area. Regression analysis shows that the FT in Liaoning Province has a significant “core-periphery” spatial pattern. As the spatial distance between the residence and the regional core area (SDRRC) increases, the probability of FT rises for peasant households. Specifically, the odds ratios of farmland transfer out and farmland transfer in rise by 0.9% and 0.6% on average, respectively, for each 1 km increase in SDRRC. Widespread concurrent business and the increase in FT fees due to imperfect urbanization are the main reasons for the formation of the spatial pattern. We suggest that the promotion of FT requires high-quality urbanization in central cities, accelerating urbanization in medium and small cities and counties, implementing differentiated FT subsidy standards, and promoting new agricultural scale management models.