Template-Type: ReDIF-Article 1.0 Author-Name: Yue Liu Author-Workplace-Name: School of Economics and Finance, Chonqing University of Technology, Chongqing, P.R. China Author-Name: Haoran Yang Author-Workplace-Name: School of Economics, Southwest University of Political Science and Law, Chongqing, P.R. China Title: The overall spatial spillover effects of local agricultural policy: A study on China's corn stockpiling policy based on Adaptive Expectation Theory and Spatial Durbin Model Abstract: In 2007, the Chinese government introduced a temporary corn storage policy targeting four regions: Heilongjiang, Jilin, Liaoning and Inner Mongolia. This policy aimed at stabilising grain markets and ensured farmers' income by providing price support for corn. Its implementation significantly impacted corn prices and the regional distribution of corn cultivation, offering a valuable case for analysing the economic outcomes of China's agricultural policies. This study adopts the adaptive expectations hypothesis to explore the policy's effects, focusing on its influence on farmers' price expectations (mean) and price volatility (variance). Using a Spatial Durbin Model (SDM), we empirically investigate the policy's dynamic regional impacts on corn planting areas. The results show that the temporary corn storage policy significantly increased corn planting areas in the targeted regions, while simultaneously reducing planting areas in non-targeted regions due to negative spatial spillover effects. At the national level, the policy had no statistically significant impact on total corn planting areas, indicating that abolishing the policy alone is unlikely to rationalise or optimise the agricultural planting structure. Keywords: agricultural price, corn acreage, spatial econometrics, support policy Journal: Agricultural Economics Pages: 160-172 Volume: 71 Issue: 3 Year: 2025 DOI: 10.17221/9/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/9/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202503-0001.txt Handle: RePEc:caa:jnlage:v:71:y:2025:i:3:id:9-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Meng Meicui Author-Workplace-Name: School of Economics and Management, Qingdao Agricultural University, Qingdao, P.R. China Author-Name: Mu Shaoyan Author-Workplace-Name: School of Economics and Management, Qingdao Agricultural University, Qingdao, P.R. China Author-Name: Cao Yanqiao Author-Workplace-Name: School of Economics and Management, Qingdao Agricultural University, Qingdao, P.R. China Title: A study on the impact of ageing and agricultural infrastructure construction on the agricultural green total factor productivity Abstract: In an era marked by an ageing agricultural workforce and intensifying environmental pressures, agricultural infrastructure plays a crucial role in enhancing green productivity. This study investigates the impact of agricultural infrastructure construction and population ageing on agricultural green total factor productivity (agricultural GTFP), utilising provincial panel data from 2004 to 2022 in China. Our findings reveal that the agricultural infrastructure construction significantly boosts agricultural GTFP and significantly mitigates the negative effects of ageing on agricultural green production at the 0.01 level. Notably, different types of infrastructure exhibit varying impacts, with electricity and irrigation infrastructure demonstrating the most significant positive effects. We further identify a strong mediating effect of farmland transfer and agricultural mechanisation in facilitating infrastructure-driven agricultural GTFP growth. Our analysis reveals a pronounced regional heterogeneity, with non-food producing, central, western regions of China benefiting most from agricultural infrastructure investments. To address the challenges posed by ageing, we recommend giving priority to expanding agricultural infrastructure construction, fostering agricultural socialised services, and tailoring infrastructure programs to regional resource endowments. These strategies aim to compensate for labour shortages, enhance resource utilisation, and ultimately drive improvements in agricultural green productivity. Keywords: population ageing, panel data analysis, sustainability Journal: Agricultural Economics Pages: 113-129 Volume: 71 Issue: 3 Year: 2025 DOI: 10.17221/273/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/273/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202503-0002.txt Handle: RePEc:caa:jnlage:v:71:y:2025:i:3:id:273-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: He Xu Author-Workplace-Name: College of Economics and Management, Jilin Agricultural University, Changchun, P.R. China Author-Name: Shuai Liu Author-Workplace-Name: College of Economics and Management, Jilin Agricultural University, Changchun, P.R. China Author-Workplace-Name: Center for Rural Economy in Main Grain Producing Areas, Jilin Agricultural University, Changchun, P.R. China Author-Name: Qinghai Guo Author-Workplace-Name: College of Economics and Management, Jilin Agricultural University, Changchun, P.R. China Author-Workplace-Name: Center for Rural Economy in Main Grain Producing Areas, Jilin Agricultural University, Changchun, P.R. China Title: From 'separation' to 'reconstruction': An analytical framework and empirical test for the adjustment of the relationship between agriculture and animal husbandry of farm households Abstract: The negative benefits derived from the long-term separation of agriculture and animal husbandry in China have hindered the sustainable development of agriculture and the transformation of agricultural modernisation. The relationship between agriculture and animal husbandry is reconstructed from separation to reintegration. Focusing on the micro-agricultural production level, it relies on farmers to moderately adjust the existing family management structure and choose the family management mode combining planting and breeding. Structural and synergistic contradictions exist between agricultural economic development and ecological protection in the main corn-producing areas. Therefore, based on the micro-survey data of Jilin Province, China, the paper analyses the factors and mechanisms that influence farmers' choice of the combined management mode of planting and breeding. The results showed that the scale of land management, the stability of cultivated land management rights, the policy insurance of animal husbandry, the average profit of beef cattle head, and the cognition of income growth of animal husbandry were positively correlated with farmers' choice of the combined management mode. The spatial distance between farming and animal husbandry was negatively correlated with farmers' choice of management mode. There are mediating effects of animal husbandry breeding technology in farmers' choice of combined management mode, and there is regional heterogeneity in farmers' choice of combined management mode. Therefore, the reconstruction of the relationship between agriculture and animal husbandry should rely on large-scale farmers, optimise the planting structure of the main corn-producing areas, take multiple measures to stabilise the management right of cultivated land, and further improve the policy insurance and breeding technical support system of animal husbandry. This study can provide a theoretical framework and practical reference for reconstructing the relationship between agriculture and animal husbandry in China and other developing countries. Keywords: combination of planting and breeding, main corn-producing areas, management structure adjustment, sustainable agricultural development Journal: Agricultural Economics Pages: 142-159 Volume: 71 Issue: 3 Year: 2025 DOI: 10.17221/291/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/291/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202503-0003.txt Handle: RePEc:caa:jnlage:v:71:y:2025:i:3:id:291-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Yolanda Sorroche-del-Rey Author-Workplace-Name: Department of Economics and Business, University of Almería (Agrifood Campus of International Excellence, ceiA3; Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES), Almería, Spain Author-Name: Laura Piedra-Muñoz Author-Workplace-Name: Department of Economics and Business, University of Almería (Agrifood Campus of International Excellence, ceiA3; Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES), Almería, Spain Author-Name: Emilio Galdeano-Gómez Author-Workplace-Name: Department of Economics and Business, University of Almería (Agrifood Campus of International Excellence, ceiA3; Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES), Almería, Spain Author-Name: Eva M. García-Granero Author-Workplace-Name: Department of Economics and Business, University of Almería (Agrifood Campus of International Excellence, ceiA3; Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES), Almería, Spain Title: Determinants of pollutant emissions in the Spanish agri-food sector: The role of international trade Abstract: This study aims to analyse the key company-level variables influencing pollutant emissions in the Spanish agri-food sector and investigate the bidirectional relationship between international trade and environmental performance. Using panel data from 2007-2020, we employ discrete choice models to test causal relationships between business variables and environmental impact. Empirical findings show a negative correlation between internationalisation and polluting emissions from agri-food companies. Additionally, other factors, such as company age and size, also influence this index. These results provide valuable insights for economic decision-makers in the agri-food market, highlighting the implications of international trade and business variables on pollution levels. Keywords: agriculture, binary and ordered logit models, environmental emissions,  internationalisation, microeconomic level, Journal: Agricultural Economics Pages: 130-141 Volume: 71 Issue: 3 Year: 2025 DOI: 10.17221/353/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/353/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202503-0004.txt Handle: RePEc:caa:jnlage:v:71:y:2025:i:3:id:353-2024-AGRICECON