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Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Research on the spatio-temporal evolution and influencing factors of agricultural total factor productivity in the Yangtze River Economic Belt WANG Shi-hao, WANG Bao-hai, SUN Lu-jia HUBEI AGRICULTURAL SCIENCES    2022, 61 (17): 31-38.   DOI: 10.14088/j.cnki.issn0439-8114.2022.17.005 Abstract （259）      PDF （1801KB）（147）       Knowledge map    Save Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2003 to 2019, the DEA data envelopment model and the Malmquist productivity index model, this paper studied the evolution and distribution characteristics of agricultural total factor productivity in the Yangtze River Economic Belt as a whole and in the eastern, central and southwestern regions from the perspective of time and space, and finally made an empirical analysis of its influencing factors. The results show that the total factor productivity of agriculture in the Yangtze River Economic Belt has been on an upward trend from 2003 to 2019, and it decreases from the east, the middle and the southwest in general. There is a certain gap between the three regions. The level of rural economic development and urbanization rate have a significant positive impact on the total factor productivity of agriculture in the Yangtze River Economic Belt. The level of opening up, fiscal expenditure on agriculture and the degree of environmental disaster have a significant negative impact on the total factor productivity of agriculture in the Yangtze River Economic Belt. Reference | Related Articles | Metrics Select Research on grain production efficiency in Shandong Province based on three-stage DEA model GAO Ying, WANG Zhao-hua HUBEI AGRICULTURAL SCIENCES    2022, 61 (17): 39-44.   DOI: 10.14088/j.cnki.issn0439-8114.2022.17.006 Abstract （247）      PDF （1547KB）（107）       Knowledge map    Save Shandong Province is a major agricultural province and one of the main grain producing areas in China. Its grain production is related to national food security. Based on the input and output data of wheat and maize production in 17 cities of Shandong Province, the three-stage DEA model was used to measure the grain production efficiency in Shandong Province. The results show that the average value of comprehensive technical efficiency, pure technical efficiency and scale efficiency of grain production in Shandong Province is non-DEA effective. Although the pure technical efficiency is not optimal, it is at a high level. The main factor affecting the efficiency of grain production is the lack of scale efficiency. The scale efficiency and pure technical efficiency of maize are better than those of wheat; in the process of wheat and corn production, the comprehensive technical efficiency values of the two cities with high efficiency are 1.000, and the comprehensive technical efficiency values of the two cities with low efficiency are 0.229 and 0.206, respectively. There are large differences in grain production efficiency and unbalanced development among 17 cities in Shandong Province. Studies have shown that on the basis of protecting cultivated land, the efficiency of large-scale grain production should be improved and the land utilization rate should be increased. Efforts should be made to continuously strengthen the investment in science and technology, reduce the production cost of wheat, ensure the steady improvement of wheat yield; suggestions are made for food production in different cities. Reference | Related Articles | Metrics page Page 1 of 3 Total 5 records First page Prev page Next page Last page