Template-Type: ReDIF-Article 1.0 Author-Name: Xiaolan Wang Author-Workplace-Name: College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China Author-Name: Xinli Wang Author-Workplace-Name: College of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, P. R. China Author-Name: Jundi Liu Author-Workplace-Name: College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China Author-Name: Jing Wang Author-Workplace-Name: College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China Title: Strategic interactions and market equilibrium in China's agricultural catastrophic insurance Abstract: In China's agricultural catastrophe insurance market, issues of non-equilibrium are prominent. To understand the causes of non-equilibrium in agricultural catastrophe insurance and to develop prevention strategies, this study employs an Evolutionary Game Model, incorporating disaster and insurance data for three types of cereal crops in Henan Province to analyse the Evolutionarily Stable Strategies in the agricultural catastrophe insurance market. The research also considers government policies and disaster reinsurance as implicit participants in the model. The findings reveal significant differences in the impact of non-equilibrium in the agricultural catastrophe insurance market and the choice of game strategies, dependent on the scale of farm operations, the type of crops cultivated, and regional variations. Significantly, decision-making evolutionary paths vary between small and medium-scale farmers, with rice growers emphasising income insurance more. In regions prone to frequent catastrophes, the insurance rates for agricultural catastrophe insurance exhibit greater flexibility. By scientifically delineating agricultural catastrophe risk zones, appropriately expanding the scale of cultivation, reducing insurance rates, and adjusting agricultural catastrophe insurance products, a balanced development in the agricultural catastrophe insurance market can be promoted. Keywords: agricultural insurance, evolutionary game theory, non-equilibrium problem, numerical simulation analysis, time sequence dynamics Journal: Agricultural Economics Pages: 495-512 Volume: 70 Issue: 10 Year: 2024 DOI: 10.17221/358/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/358/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202410-0001.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:10:id:358-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: David Hampel Author-Workplace-Name: Department of Statistics and Operation Analysis, Faculty of Business and Economics, Mendel University in Brno, Brno, the Czech Republic Author-Name: Markéta Matulová Author-Workplace-Name: Department of Statistics and Operation Analysis, Faculty of Business and Economics, Mendel University in Brno, Brno, the Czech Republic Author-Name: Martina Lichovníková Author-Workplace-Name: Department of Animal Breeding, Faculty of Agrisciences, Mendel University in Brno, Brno, the Czech Republic Author-Name: Jitka Janová Author-Workplace-Name: Department of Statistics and Operation Analysis, Faculty of Business and Economics, Mendel University in Brno, Brno, the Czech Republic Title: Are there trade-offs between animal welfare and egg-producing farm efficiency? Abstract: Agribusiness is currently faced with the challenge of providing sufficient quality food for a growing population with limited natural resources. Egg production, as an important source of nutrition, is a dynamically developing sector of livestock production on a global scale. Simultaneously, the increasing public and legal considerations of animal welfare affect egg-producing operations. This paper aims to provide insight into missing evidence in the trade-offs between animal welfare and efficiency in egg-producing farms in the Czech Republic and the European Union. Detailed data were gathered on the extent of the enriched cage and indoor cage-free housing systems (aviaries/barns) among the main 30 Czech table-egg-producers. Original micro data enlarged the information on table-egg producers collected using the Orbis database. For the efficiency analysis at the EU level, data on the housing systems were obtained from Eurostat and combined with aggregated data from the Orbis database. A robust data envelopment analysis was applied which benefits from including animal-welfare variables directly into the efficiency evaluation. The results showed a negative, but statistically insignificant, relationship between the animal welfare and efficiency of the egg producers for the Czech Republic table-egg producers as well as those on the EU-country level. Keywords: agribusiness, bio-economics, data envelopment analysis, operations management, poultry industry, table-eggs Journal: Agricultural Economics Pages: 465-473 Volume: 70 Issue: 10 Year: 2024 DOI: 10.17221/93/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/93/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202410-0002.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:10:id:93-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Yong Liu Author-Workplace-Name: School of Business Administration, Zhongnan University of Economics and Law, Wuhan, P. R. China Author-Name: Jixin Yang Author-Workplace-Name: School of Business Administration, Zhongnan University of Economics and Law, Wuhan, P. R. China Author-Name: Guanghong Zhang Author-Workplace-Name: School of Business Administration, Zhongnan University of Economics and Law, Wuhan, P. R. China Author-Name: Xufeng Cui Author-Workplace-Name: School of Business Administration, Zhongnan University of Economics and Law, Wuhan, P. R. China Title: Driving factors of green production behaviour among farmers of different scales: Evidence from North China Abstract: The agricultural production in China is gradually transitioning from extensive agriculture to green agriculture. In this context, identifying the driving factors and dimensions of farmers' green production behaviour can contribute to promoting sustainable agricultural development. Existing studies lack investigation into the identification of driving factors and dimensions of green production behaviour among farmers of different scales. This study examined 1 142 farm households from five major grain-producing provinces in the North China Plain in 2019. We employed probit-ISM (interpretive structural modelling) models to analyse the driving factors of green production behaviour among farmers of different scales and identify dimensional differences. The study concluded the following: i) Personal characteristics, household characteristics, operational characteristics, social network characteristics, organisational characteristics, and cognitive characteristics were factors driving green production behaviour among small-scale farmers. However, social network characteristics and organisational characteristics had insignificant effects on green production behaviour among large-scale farmers. ii) Personal characteristics, number of agricultural workers, scale of operation, degree of land fragmentation, and whether relatives and friends are civil servants were the deep-rooted factors driving farmers' green production behaviour. Part-time farming status, proportion of grain income, types of agricultural machinery, relationship with local farm machinery operators, and organisational characteristics were middle indirect factors. Cognitive characteristics represented the direct surface factors. This study can provide crucial information for government departments, which formulate differentiated policies to promote green production behaviour among farmers of different scales. Keywords: farmers', green production behavior, interpretive structural modelling, large-scale farmers, probit model, small-scale farmers Journal: Agricultural Economics Pages: 474-494 Volume: 70 Issue: 10 Year: 2024 DOI: 10.17221/188/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/188/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202410-0003.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:10:id:188-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Ruihan Wang Author-Workplace-Name: School of Economics, Sichuan University, Chengdu, P. R. China Author-Name: Zheng Lu Author-Workplace-Name: School of Economics, Sichuan University, Chengdu, P. R. China Author-Name: Chunyu Tang Author-Workplace-Name: School of Economics, Sichuan University, Chengdu, P. R. China Title: How does urbanisation affect agricultural economic resilience? Evidence from China Abstract: As an important path to breaking the urban-rural dual system and promoting agricultural modernisation in China, the process of urbanisation might have a strong influence on promoting agricultural economic resilience (AER). Using panel data from provincial-level administrative regions of China's mainland, we constructed a novel indicator system to measure AER, and employ the system generalised method of moments model to examine the impact of urbanisation on AER and the moderating roles of land transfer and heterogeneous human capital. Our study yielded three notable findings. First, the urbanisation process can significantly enhance AER. This finding remained robust after conducting multiple robustness tests and addressing endogeneity using the instrumental variable method. Second, the influencing mechanism analysis results indicated that land transfer and human capital had significant moderating roles, and the level of land transfer and educational improvement can enhance the positive impact of urbanisation on AER, while the migratory human capital weakened this positive effect. Third, the heterogeneity analysis revealed regional differences in the impact of urbanisation on AER, demonstrating that the promotional effect of urbanisation was much greater in the major grain-producing areas. Our study offers a new perspective and evidence for researchers and policymakers investigating how to enhance AER. Keywords: agricultural policy, agricultural economic system, human capital, land transfer Journal: Agricultural Economics Pages: 513-526 Volume: 70 Issue: 10 Year: 2024 DOI: 10.17221/207/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/207/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202410-0004.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:10:id:207-2024-AGRICECON