Template-Type: ReDIF-Article 1.0 Author-Name: Laura Sanchez Mata Author-Workplace-Name: Weare-Water, Environmental and Agricultural Resources Economics Research Group, Universidad de Córdoba, Córdoba, Spain Author-Name: Melania Salazar-Ordóñez Author-Workplace-Name: Weare-Water, Environmental and Agricultural Resources Economics Research Group, Universidad de Córdoba, Córdoba, Spain Author-Name: Julio Berbel Author-Workplace-Name: Weare-Water, Environmental and Agricultural Resources Economics Research Group, Universidad de Córdoba, Córdoba, Spain Author-Name: Macario Rodríguez-Entrena Author-Workplace-Name: Weare-Water, Environmental and Agricultural Resources Economics Research Group, Universidad de Córdoba, Córdoba, Spain Title: Qualitative meta-analysis of barriers and drivers of agroecological transition Abstract: The agri-food sector contributes to climate change but also has substantial mitigation potential. Agroecology is increasingly recognised as a viable pathway for transforming agri-food systems, but its success depends partly on understanding the factors influencing farmers' pro-environmental behaviour. This study aims to identify and classify these factors as barriers or drivers through a qualitative meta-analysis based on a structured systematic literature review of studies conducted in the European Union. The results indicated that personal knowledge and capabilities dominated the evidence. Particularly advanced age and income-related constraints were the clearest barriers, whereas larger farm size, higher schooling level and agricultural training were the most consistent drivers. Subsidies, off-farm income, technical advice, family labour, environmental attitude and innovativeness show positive but less consistent effects. The findings indicate that policies supporting the agroecological transition should strengthen farmers' financial stability, training and capacity to adopt agroecological land management practices, particularly among older and structurally constrained farmers. Keywords: adoption barriers, adoption drivers, agroecology, agroecological land management practices, qualitative meta-analysis Journal: Agricultural Economics Pages: 571-583 Volume: 72 Issue: 9 Year: 2026 DOI: 10.17221/374/2024-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/374/2024-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202609-0001.txt Handle: RePEc:caa:jnlage:v:72:y:2026:i:9:id:374-2024-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Peter Árendáš Author-Workplace-Name: Department of Banking and International Finance, Faculty of Economics and Finance, Bratislava University of Economics and Business, Bratislava, Slovakia Author-Name: Barbara Čeryová Author-Workplace-Name: Department of Banking and International Finance, Faculty of Economics and Finance, Bratislava University of Economics and Business, Bratislava, Slovakia Author-Name: Jana Kotlebová Author-Workplace-Name: Department of Banking and International Finance, Faculty of Economics and Finance, Bratislava University of Economics and Business, Bratislava, Slovakia Title: Agricultural commodity markets during the COVID-19 pandemic and the energy crisis: A time-varying copula approach Abstract: Agricultural commodity markets are highly important not only for investors but also for consumers. Given their importance, closer attention should be paid to agricultural commodity prices and their interactions with other segments of the financial market. In this paper, we apply time-varying copula analysis to investigate the development of the dependence structure between three main groups of agricultural commodities (Bloomberg Grains TR Index, Bloomberg Softs TR Index, and Bloomberg Livestock TR Index) and other segments of the financial market (Brent crude oil, the US Dollar Index, and the broader stock market represented by the S&P 500 stock market index). We use daily data from 2017 to 2024, covering the relatively calm pre-COVID-19 period and the turbulent COVID-19 and subsequent energy crisis periods. The results show that, despite increases in both overall and lower-tail dependence during the pandemic, the relationships remained relatively weak even at their peak. This indicates that the ability of agricultural commodities to provide risk diversification remained intact, even during the two extreme global events. However, the observed time variation indicates that hedging strategies should include dynamic risk monitoring and stress testing. Keywords: grains, softs, livestock, stock markets, dollar index, risk spillovers Journal: Agricultural Economics Pages: 559-570 Volume: 72 Issue: 9 Year: 2026 DOI: 10.17221/319/2025-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/319/2025-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202609-0002.txt Handle: RePEc:caa:jnlage:v:72:y:2026:i:9:id:319-2025-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Yingju Zhang Author-Workplace-Name: College of Humanities and Law, Henan Agricultural University, Zhengzhou, P.R. China Author-Workplace-Name: Doctoral School, SGH Warsaw School of Economics, Warsaw, Poland Author-Name: Mansoor Maitah Author-Workplace-Name: Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Jinwei Lv Author-Workplace-Name: College of Economics and Management, Henan Agricultural University, Zhengzhou, P.R. China Author-Name: Xinyu Guo Author-Workplace-Name: School of International Business and Economics, Henan University of Economics and Law, Zhengzhou, P.R. China Title: The impact of internet access on green production practices among farmers Abstract: Amidst mounting global imperatives for sustainable agriculture and China's 'dual carbon' goals, this study investigates how internet access promotes farmers' adoption of green production practices, specifically defined as reducing chemical inputs through decreased fertiliser and pesticide application, using panel data from the Rural Observation Point in Henan Province (2009-2022). The findings reveal that internet access exerts a significant positive impact on farmers' green production behaviours, specifically reducing fertiliser and pesticide expenditures by 13.3% and 16.3%, respectively. Internet access enhances information accessibility, improves technical learning efficiency, and strengthens market linkages, thereby elevating farmers' economic returns and production expertise. Crucially, mechanism analysis demonstrates that both economic benefits and production technologies positively influence the promoting effect of internet access on farmers' green production practices. Heterogeneity analysis further identifies more pronounced effects among farmers with higher education levels, greater mechanisation, larger operational landholdings, robust health, younger age, centralised decision-making structures and those who are in urban suburbs, poor villages and traditional villages. This research offers critical insights for designing targeted digital interventions to advance ecological agriculture and achieve sustainable rural development goals. Keywords: China, digital farming, fertiliser, pesticide, sustainable farming practice Journal: Agricultural Economics Pages: 527-539 Volume: 72 Issue: 9 Year: 2026 DOI: 10.17221/351/2025-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/351/2025-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202609-0003.txt Handle: RePEc:caa:jnlage:v:72:y:2026:i:9:id:351-2025-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Chunhua Chen Author-Workplace-Name: College of Economics and Management, Inner Mongolia Agricultural University, Hohhot, P.R. China Author-Name: Wenjing Song Author-Workplace-Name: Shaanxi Yanchang Petroleum (Group), Xian, P.R. China Author-Name: Ruizhi Wang Author-Workplace-Name: Transportation Institute, Inner Mongolia University, Hohhot, P.R. China Author-Name: Chongyu Ma Author-Workplace-Name: Transportation Institute, Southeast University, Nanjing, P.R. China Title: Measuring the efficiency of agropastoral systems in Inner Mongolia: Parallel bounded adjusted measure with shared inputs and outputs Abstract: Inner Mongolia operates using integrated agropastoral systems comprising crop and livestock production subsystems. To evaluate the efficiency of these interconnected subsystems, we develop an innovative parallel-bounded adjusted measure (BAM) model with shared inputs and outputs. Unlike conventional data envelopment analysis (DEA) models, this approach explicitly accounts for parallel structures with shared inputs and outputs, allowing for a more precise and nuanced assessment of efficiency. Our results are as follows: (i) regional efficiency disparities: Hohhot City, Ordos City, and Wuhai City are efficient, whereas Ulanqab City performs the worst; (ii) subsystem performance: crop production subsystems generally outperform livestock production subsystems; (iii) inefficiencies: we observe significant input slacks in cultivated land area, total agricultural machinery power, and initial livestock numbers, whereas the disposable income of rural residents requires significant improvement. Keywords: griculture, crop, data envelopment analysis, livestock, shared resources Journal: Agricultural Economics Pages: 540-558 Volume: 72 Issue: 9 Year: 2026 DOI: 10.17221/359/2025-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/359/2025-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202609-0004.txt Handle: RePEc:caa:jnlage:v:72:y:2026:i:9:id:359-2025-AGRICECON