Template-Type: ReDIF-Article 1.0 Author-Name: Ekin Ayse Özsuca Author-Workplace-Name: Department of International Trade and Finance, Faculty of Economics and Administrative Sciences, Çankaya University, Ankara, Türkyie Title: Agribusiness resilience during the COVID-19 pandemic: The role of credit constraints Abstract: This paper investigates the effect of pre-COVID credit constraints and the moderating role of government support on agribusiness resilience following the outbreak of COVID-19. Using a dataset covering 42 countries, we provide empirical evidence on how firm characteristics and credit constraints affect agribusinesses' likelihood of survival and performance during the pandemic. On the enterprise level, size, foreign ownership and gender of the manager are found to display a statistically significant relationship with closure and sales performance. The findings reveal that pre-existing credit constraints tended to magnify the negative impacts of the pandemic. Specifically, agribusinesses with better access to finance were less likely to experience a decline in sales and exit from the market and, hence, were in a better position to withstand pandemic-induced shock. The results further highlighted the positive role of government support on agribusiness resilience, whereas obtaining government aid was found to have no significant effect on moderating the link between financial conditions and resilience. Finally, the results showed that financially constrained agribusinesses are more likely to suffer from liquidity/cash flow problems and experience overdue financial obligations during the pandemic. In coping with their liquidity shortfalls, these agribusinesses were less likely to access formal credit and more likely to delay payments to suppliers/workers. Keywords: access to finance, crisis, firm performance, World Bank enterprise surveys Journal: Agricultural Economics Pages: 591-605 Volume: 70 Issue: 12 Year: 2024 DOI: 10.17221/56/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/56/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202412-0001.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:56-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Faruque As Sunny Author-Workplace-Name: School of Management, Zhejiang University, Hangzhou, P. R. China Author-Name: Juping Lan Author-Workplace-Name: School of Two Mountains, Lishui University, Lishui, P. R. China Author-Name: Mohammad Ariful Islam Author-Workplace-Name: Agricultural Economics Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh Title: Agrarian change through sustainable agri-tech adoption in a challenging rice farming region: A panel data analysis Abstract: To achieve the coveted objectives of sustainable development, the Bangladesh government has devised a comprehensive strategy to promote the adoption of innovative agricultural practices capable of addressing the critical challenges at the intersection of food, energy, water, and ecosystems (FEWE). This plan prioritises the increased uptake of solar irrigation and recommended fertiliser application (SIRFA) technologies to enhance sustainable food production while effectively managing energy and water resources, and fostering ecological balance. Thus, this study analysed seven years of panel data (2015-2021) to assess the long-term impact of SIRFA technology adoption on production costs (PC) and return on investment (ROI) among Bangladeshi farmers cultivating the BRRI-dhan29 rice variety in the water-scarce, acidic soils of Dinajpur. Utilising the generalised estimating equation (GEE) with a population-averaged model, we investigated the determinants of adoption. Additionally, we applied a two-stage residual inclusion (2SRI) method alongside six linear panel-data models to analyse the impact of SIRFA adoption. Our findings revealed that adopters experienced reduced production costs and enhanced ROI through SIRFA technology adoption. These results emphasised the urgent need for region-specific policy interventions to facilitate the broader adoption of SIRFA technologies. Keywords: correlated random effect (CRE), linear panel-data models, population-averaged (PA) model, recommended fertiliser dosage, solar irrigation, two-stage residual inclusion (2SRI) Journal: Agricultural Economics Pages: 606-620 Volume: 70 Issue: 12 Year: 2024 DOI: 10.17221/79/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/79/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202412-0002.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:79-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Raul Serrano Author-Workplace-Name: Department of Business Administration, Universidad de Zaragoza and Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain Author-Name: Juan Ramón Ferrer Author-Workplace-Name: Department of Agricultural Economics, Statistics and Business Administration, Universidad Politécnica de Madrid, Campus Ciudad Universitaria, Madrid, Spain Author-Name: Silvia Abella Author-Workplace-Name: Department of Business Administration, Faculty of Business and Public Management, Universidad de Zaragoza, Huesca, Spain Author-Name: Vicente Pinilla Author-Workplace-Name: Department of Applied Economics, Universidad de Zaragoza and Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain Title: Market entry strategy and export destination in the Spanish wine industry Abstract: This paper analyses the market entry strategy of the Spanish wineries and their destination markets. For this purpose, channel adjustment was analysed. The novel aspect of this research is the use of exports on a winery level, basing the explanation of their export performance on a combination of internal decisions of the companies, and characteristics of the wine destination markets, in accordance with the purchasing patterns of their consumers. The results revealed the importance of strategic adjustment between winery and market destination, even though the importance of adjustment depends on the level of exports. Thus, channel adjustment is important for the probability of export and export intensity. Keywords: channel adjustment, wine companies export strategies, wine exports, wine firms', strategy, wine international market Journal: Agricultural Economics Pages: 621-632 Volume: 70 Issue: 12 Year: 2024 DOI: 10.17221/107/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/107/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202412-0003.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:107-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Tatiana Bullová Author-Workplace-Name: Bioeconomy Cluster, Nitra, Slovakia Author-Name: Zuzana Bajusová Author-Workplace-Name: Institute of Economics and Management, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Nitra, Slovakia Author-Name: Peter Bielik Author-Workplace-Name: Pan-European University, Bratislava, Slovakia Author-Name: Erwin Schmid Author-Workplace-Name: Department of Economics and Social Sciences (WiSo), BOKU University, Vienna, Austria Author-Name: Rastislav Skalský Author-Workplace-Name: Agriculture, Forestry, and Ecosystem Services Research Group Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria Author-Name: Jozef Takáč Author-Workplace-Name: National Agricultural and Food Centre - Soil Science and Conservation Research Institute, Bratislava, Slovakia Author-Name: Viktória Benďáková Author-Workplace-Name: Institute of Economics and Management, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Nitra, Slovakia Author-Name: Izabela Adamičková Author-Workplace-Name: Institute of Economics and Management, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Nitra, Slovakia Author-Name: Natália Turčeková Author-Workplace-Name: Institute of Economics and Management, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Nitra, Slovakia Author-Name: Ján Jobbágy Author-Workplace-Name: Institute of Agricultural Engineering, Transport and Bioenergetics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovakia Title: Impact assessment of climate change at farm level: A methodological approach based on integrated biophysical and economic models Abstract: The dominant agricultural sector in Slovakia is crop production, with the majority of arable land dedicated to cultivating cereals (57%), followed by fodder crops (20%) and industrial crops (19%). Slovakia has technical and biophysical potential for expanding biomass production. However, it is crucial to identify optimal production practices, alternative costs, and environmental outputs. Farms become more vulnerable to the worldwide threat posed by climate change. Based on research, farmers can effectively mitigate the adverse effects of climate change by making necessary adjustments to their current farming techniques. Thus, by using an advanced tool like integrated farm models, farmers can evaluate and manage a range of risks related to their activities. This paper aims to present the application of integrated modelling frameworks at the farm level and propose a framework for studying the consequences of climate change through a scenario-based approach at the farm level. Integrated assessments provide new insights that complement those derived from more detailed assessments. Based on the model developed, the results of two research questions are provided. Since, from the viewpoint of the farmer, risk and unpredictability associated with lower yields are frequently the main causes of lower income, spatially explicit integrated modelling is applied, enabling economic optimisation of crop production on a selected farm with a focus on maximising net returns while considering biophysical parameters. The modelling results depict the distribution of selected crops on arable land and the most suitable management practices for crop production in terms of nitrogen application and irrigation utilisation. Additionally, we develop an integrated model proposing the estimation of the risk of yield variability and nitrogen emissions for three climate change scenarios for the simulated period of 2020-2100 on the model farm. In response to the problems posed by climate change, this integrated approach can assist evidence-based decision-making and sustainable agriculture practices. Keywords: climate change scenarios, crop production management, farm model, integrated modelling framework Journal: Agricultural Economics Pages: 577-590 Volume: 70 Issue: 12 Year: 2024 DOI: 10.17221/125/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/125/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202412-0004.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:125-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Editorial Department Title: Index of contents volume 70 Journal: Agricultural Economics Pages: I-III Volume: 70 Issue: 12 Year: 2024 File-URL: http://agricecon.agriculturejournals.cz/artkey/age-202412-0005_index-of-contents-volume-70.php File-Format: text/html Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:age-202412-0005 Template-Type: ReDIF-Article 1.0 Author-Name: Editorial Department Title: Index of authors volume 70 Journal: Agricultural Economics Pages: IV-V Volume: 70 Issue: 12 Year: 2024 File-URL: http://agricecon.agriculturejournals.cz/artkey/age-202412-0006_index-of-authors-volume-70.php File-Format: text/html Handle: RePEc:caa:jnlage:v:70:y:2024:i:12:id:age-202412-0006