4 results match your criteria: "Institute of Data Science and Agricultural Economics[Affiliation]"
Plants (Basel)
November 2024
Institute of Data Science and Agricultural Economics, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Spectral imaging technique has been widely applied in plant phenotype analysis to improve plant trait selection and genetic advantages. The latest developments and applications of various optical imaging techniques in plant phenotypes were reviewed, and their advantages and applicability were compared. X-ray computed tomography (X-ray CT) and light detection and ranging (LiDAR) are more suitable for the three-dimensional reconstruction of plant surfaces, tissues, and organs.
View Article and Find Full Text PDFHeliyon
February 2024
College of National Culture and Cognitive Science, Guizhou Minzu University, Guiyang, 550025, China.
Prepared foods bring great convenience to people's lives, but they also entail safety risks in all aspects, from production to sales. The cooperation of the supply chain and the supervision of the government are key to promoting the safety management of prepared foods. This paper considers the government's regulation, focuses on the interaction relationship between the producer and the retailer of prepared foods, and builds an evolutionary game model to analyze the influence of collaborative decision-making between prepared food producers and retailers in preventing and controlling food safety risks under the government's regulatory strategy.
View Article and Find Full Text PDFFood Policy
October 2022
BG2_BUBA_AILAB GienTech Technology Co., Ltd. Beijing 100192, China.
We investigated the operation of e-stores specializing in food and agricultural products before and after the occurrence of COVID-19. A difference-in-difference (DID) method was employed to estimate the relationship between COVID-19 and the online sales of agricultural products using data from 164,002 food and agricultural product e-commerce stores (in short, e-stores) of two major Chinese e-commerce platforms in 120 prefectural-level or above cities. The results demonstrated that while COVID-19 and its control measures were associated with a substantial growth in the monthly sales of food and agricultural product e-stores, the growth varies considerably across store scales and with the type of food and agricultural product in which an e-store is specialized.
View Article and Find Full Text PDFInt J Environ Res Public Health
March 2022
Institute of Data Science and Agricultural Economics, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Under the background of the global "carbon neutrality" goal, it is of great significance to study the environmental effect of FDI in rapid economic development. This paper proposes an original framework to determine the relative influence of five factors on the Belt and Road countries with a strong FDI-CO association. Based on the panel smooth transition regression (PSTR) model, we establish country-specific and time-specific FDI-CO coefficients for 59 Belt and Road countries during 2003-2018.
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