Agricultural Economics, 2025 (vol. 71), issue 6
Structural characteristics and determinants of the patent collaboration network in China's agricultural sectorOriginal Paper
Xiao Cheng
Agric. Econ. - Czech, 2025, 71(6):285-297 | DOI: 10.17221/369/2024-AGRICECON 
Drawing upon data on co-signed patents in China's agricultural sector between 2015 and 2022, this paper explores the structural characteristics and determinants of the patent collaboration network in agricultural technology involving universities (U), enterprises (E) and research institutes (R). The results of social network analysis (SNA) revealed that the patent collaboration network is expanding in scale, but innovators are sparsely connected to others. Although the subnetwork linked by enterprises is the largest, universities and research institutes are more likely to play roles as hubs and bridges in the network. Furthermore, quadratic assignment...
Unintended consequences of trade in environmental innovation: Agricultural emissions, sectoral leakage, and the Kuznets curve hypothesisOriginal Paper
Xinyi Gu, Jianmin Li, Farzan Yahya, Muhammad Waqas, Amad Rashid
Agric. Econ. - Czech, 2025, 71(6):298-307 | DOI: 10.17221/399/2024-AGRICECON
Mitigating emissions from the agricultural sector is crucial for achieving sustainable development goals. However, controlling emissions in one sector can lead to unintended consequences in others through leakage effects. Grounded in the theoretical propositions of sectoral shift theory (SST), the rebound effect, and leakage effects, this study investigates the asymmetric impact of environmentally sound technology (EST) imports and exports on agricultural emissions (N₂O and methane) within the framework of the agricultural Kuznets curve (AKC). Utilising a balanced panel dataset of 105 countries from 2010 to 2020, we employ the Westerlund cointegration...
Research on agricultural science and technology advancement enabling the development of rural industrial incorporation from the perspective of decompositionOriginal Paper
Sheng Yao, Guosong Wu
Agric. Econ. - Czech, 2025, 71(6):308-322 | DOI: 10.17221/294/2023-AGRICECON
Taking China as an example in this study, we aim to reveal the enabling effects of agricultural science and technology advancement on the progress of rural industrial incorporation at a relatively more refined level. The main innovation in this study lies in the decomposition of agricultural science and technology advancement, followed by an analysis of its effect on rural industrial incorporation along both linear and non-linear dimensions. The study results show that, along the linear dimension, agricultural science and technology advancement, agricultural knowledge advancement and agricultural technology advancement play significant driving roles...
How have global pandemics destabilised the food market?Original Paper
Meng Qin, Chi-Wei Su, Jinhao Cui
Agric. Econ. - Czech, 2025, 71(6):323-335 | DOI: 10.17221/323/2023-AGRICECON
The paper explores the influence of global pandemic uncertainty (GPU) on food prices (FP) by using the mixed-frequency vector autoregression (MF-VAR) model. Empirical findings indicate that the influence of GPU on FP varies across different scenarios, exhibiting either positive, negative, or insignificant effects. A positive influence implies that GPU fuels panic-buying and stockpiling behaviours, thereby boosting food demand. Concurrently, disruptions in agricultural production and food export restrictions tighten the market supply, potentially pushing FP upwards. Conversely, a negative effect suggests that...