Template-Type: ReDIF-Article 1.0 Author-Name: Belén López-Felices Author-Workplace-Name: Department of Economy and Business, Faculty of Economics and Business Studies, University of Almería, Almería, Spain Author-Workplace-Name: Research Centre on Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almería, Almería, Spain Author-Name: Juan Francisco Velasco-Muñoz Author-Workplace-Name: Department of Economy and Business, Faculty of Economics and Business Studies, University of Almería, Almería, Spain Author-Workplace-Name: Research Centre on Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almería, Almería, Spain Author-Name: Isabel María Román-Sánchez Author-Workplace-Name: Department of Economy and Business, Faculty of Economics and Business Studies, University of Almería, Almería, Spain Author-Workplace-Name: Research Centre on Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almería, Almería, Spain Author-Name: José Ángel Aznar-Sánchez Author-Workplace-Name: Department of Economy and Business, Faculty of Economics and Business Studies, University of Almería, Almería, Spain Author-Workplace-Name: Research Centre on Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almería, Almería, Spain Title: Socioeconomic and technical factors determining the adoption of hedgerows around greenhouses in southeast Spain Abstract: Pest control is one of the ecosystem services most affected by the intensification of agriculture. Pests can lead to significant losses in crop yields and jeopardise food security. In this context, installing hedgerows around greenhouses is presented as an opportunity to improve the presence of natural enemies and favour the control of pests. However, the adoption of this practice has not spread among farmers. The objective of this article is to determine the factors that affect the decision to adopt hedgerows around greenhouses by studying the case of southeast Spain. A binary logistic regression model is developed from a farmer survey of 189 farmers in the study area. The variables that are significant when explaining the installation of hedgerows are the size of the farm, the expenses, the number of methods used to combat pests, technical advice, and environmental awareness. Based on these results, action measures are proposed to promote the adoption of this practice. Keywords: behavioural economics, biological control, logit model, non-crop vegetation, sustainability Journal: Agricultural Economics Pages: 212-222 Volume: 69 Issue: 5 Year: 2023 DOI: 10.17221/49/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/49/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202305-0001.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:5:id:49-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Mourad Zmami Author-Workplace-Name: College of Business Administration, Northern Border University, Arar, Saudi Arabia Author-Name: Ousama Ben-Salha Author-Workplace-Name: College of Business Administration, Northern Border University, Arar, Saudi Arabia Title: What factors contribute to the volatility of food prices? New global evidence Abstract: The adverse economic and social effects of the recent increases in food prices have prompted policymakers and academics to reconsider the potential causes of such increases. This paper contributes to the existing literature by investigating the causal effects of oil prices, fertiliser prices, global economic activity, and geopolitical risk on international food price volatility between January 1993 and December 2021. The research considers the aggregate food price index and the prices of various specific foods, including cereal, vegetable oils, dairy, meat, and sugar. The Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (1,1) [GJR-GARCH(1,1)] model is employed to estimate the food price volatility series, while the causality-in-quantiles test is conducted to identify the drivers of food price volatility for different volatility regimes. The analysis suggests heterogeneous results regarding the significance of causal linkages. More specifically, the aggregate food price volatility is affected by oil prices, global economic activity, and geopolitical risk under different market conditions. The causality analysis also indicates that the volatility of cereal prices is the most sensitive to the four considered variables. Likewise, geopolitical risk is the most critical factor affecting all food commodities during almost all market conditions, while oil prices and global economic activity have limited predictive power. Finally, there is strong evidence that most causal linkages are confirmed during normal market conditions. Policy recommendations are subsequently derived. Keywords: causality, food commodity price, Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (GJR-GARCH), quantiles Journal: Agricultural Economics Pages: 171-184 Volume: 69 Issue: 5 Year: 2023 DOI: 10.17221/99/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/99/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202305-0002.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:5:id:99-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Weiwen Qian Author-Workplace-Name: School of Business, East China University of Science and Technology, Shanghai, China Author-Name: Yinguo Dong Author-Workplace-Name: School of Business, East China University of Science and Technology, Shanghai, China Title: Comparative study on the geographical indication protection between China and the European Union - From the perspective of the China-EU Geographical Indications Agreement Abstract: Geographical indication (GI) represents the specific good quality and reputation of the regional characteristics of agricultural products, which is a positive approach for stabilising the export of agricultural products, realising high quality and high prices for agricultural products and rural revitalisation. Based on the China-EU Geographical Indications Agreement, this paper discusses the differences between China and the European Union (EU) in terms of GI protection from three aspects: the institutional framework, the operational system, and the operational status of GIs. The purpose of the study is to identify the differences between China and the EU in the protection of GIs, China's shortcomings, and gaps, and to propose policy recommendations for China to protect GI products better, exploit the economic impact of GIs and enhance the competitiveness of China's exports. Keywords: institutional framework, intellectual property rights, operational status, operational system, trade Journal: Agricultural Economics Pages: 185-201 Volume: 69 Issue: 5 Year: 2023 DOI: 10.17221/98/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/98/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202305-0003.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:5:id:98-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Jianru Fu Author-Workplace-Name: School of Finance, Jiangxi Normal University, Jiangxi Province, Nanchang, China Author-Name: Ruiyuan Shen Author-Workplace-Name: School of Finance, Jiangxi Normal University, Jiangxi Province, Nanchang, China Author-Name: Chao Huang Author-Workplace-Name: School of Finance, Jiangxi Normal University, Jiangxi Province, Nanchang, China Title: How does price insurance alleviate the fluctuation of agricultural product market? A dynamic analysis based on cobweb model Abstract: Food security is of great importance to all countries. Correspondingly, agricultural price insurance is an important tool to maintain food security. This study adopts the traditional spider web model to establish a mathematical framework for exploring the internal mechanism of agricultural price insurance, which can ease the volatility of the agricultural market. Then, the influence of agricultural price insurance on the supply of agricultural products is examined. The findings show that the supply elasticity of most agricultural products is greater than the demand elasticity, with agricultural product markets presenting a natural divergence. Agricultural price insurance changes the supply curve of agricultural products by reducing their supply elasticity, subsequently positively affecting the reduction of price fluctuation and the stabilisation of outputs. Agricultural price insurance can even change agricultural product markets under certain conditions, allowing a shift from divergence to convergence. Moreover, by adjusting the insurance parameters of agricultural prices, the equilibrium yield and price can be changed, and the planting area and income of farmers can be maximised. The mathematical basis for agricultural insurance derived in this study can support food security strategies at the national level and further provide a theoretical basis to formulate policies and departmental measures. Keywords: agricultural product supply elasticity, agricultural risk, crop insurance, food security Journal: Agricultural Economics Pages: 202-211 Volume: 69 Issue: 5 Year: 2023 DOI: 10.17221/107/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/107/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202305-0004.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:5:id:107-2023-AGRICECON