In order to evaluate the performance of China's agricultural listed companies,we analyze the overall efficiency,pure technical efficiency and scale efficiency of China's agricultural listed companies on the ba...In order to evaluate the performance of China's agricultural listed companies,we analyze the overall efficiency,pure technical efficiency and scale efficiency of China's agricultural listed companies on the basis of input-output data concerning 34 agricultural listed companies,using BCC model in data envelopment analysis ( DEA) model. Then we analyze input-output redundancy situation using the slack variable derived from the model. The results show that the overall efficiency of China's agricultural listed companies is good,and the gap in efficiency between sub-industries is small; there is significant difference in performance between listed companies engaged in the same sub-industry,and the reason for invalid DEA in companies within the industry is complex; total assets and asset-liability ratio are high,and the effective output is not fully realized. Finally corresponding recommendations are put forward for promoting the performance of agricultural listed companies as follows: strengthening brand awareness; promoting the level of production technology; adjusting the input structure; transforming the agricultural growth mode.展开更多
As leading enterprises supporting the agricultural development,agricultural listed companies play a great role,thus the study on their operating efficiency will have a strong demonstration effect. Using the data envel...As leading enterprises supporting the agricultural development,agricultural listed companies play a great role,thus the study on their operating efficiency will have a strong demonstration effect. Using the data envelopment analysis( DEA) model,the operating efficiency of 20 agricultural listed companies was compared and analyzed. The results indicated that the overall efficiency of the agricultural listed companies is low. In agricultural listed companies with low or moderate overall efficiency,some agricultural companies are affected by the pure technical efficiency or scale efficiency,while other companies are affected by both factors,and accompanied with the increasing or decreasing efficiency along with the scale. Through in-depth analysis,it concluded that nine companies affected by pure technical efficiency have different degree of input redundancy or output deficiency. On this basis,it came up with pertinent recommendations for improvement.展开更多
We use the secondary relative benefit model based on DEA to evaluate the performance of agricultural financial expenditure in Guizhou Province, which can give due consideration to the production effectiveness determin...We use the secondary relative benefit model based on DEA to evaluate the performance of agricultural financial expenditure in Guizhou Province, which can give due consideration to the production effectiveness determined by objective natural conditions, and management effectiveness of all regions (as decision-making body) in the use of financial fund for supporting agriculture. In general, there is north-south gradient difference in the performance of financial support for agriculture between regions in Guizhou Province. The drought in 2010 has significant impact on the technical efficiency in the whole province; the performance score of each item in Liupanshui City and Southwest Guizhou is very low; the technical efficiency and management efficiency in most regions need to be improved. In order to improve the performance of financial support for agriculture, we need to ensure the scale of input; at the same time, provide appropriate preferential financial policies for agricultural infrastructure, especially the construction of rural water conservancy, development and promotion of agricultural science and technology, and other fields; adopt the way of special check and acceptance of supporting projects to strengthen the use management of the fund for agriculture.展开更多
文摘In order to evaluate the performance of China's agricultural listed companies,we analyze the overall efficiency,pure technical efficiency and scale efficiency of China's agricultural listed companies on the basis of input-output data concerning 34 agricultural listed companies,using BCC model in data envelopment analysis ( DEA) model. Then we analyze input-output redundancy situation using the slack variable derived from the model. The results show that the overall efficiency of China's agricultural listed companies is good,and the gap in efficiency between sub-industries is small; there is significant difference in performance between listed companies engaged in the same sub-industry,and the reason for invalid DEA in companies within the industry is complex; total assets and asset-liability ratio are high,and the effective output is not fully realized. Finally corresponding recommendations are put forward for promoting the performance of agricultural listed companies as follows: strengthening brand awareness; promoting the level of production technology; adjusting the input structure; transforming the agricultural growth mode.
基金Supported by Key Project of Hunan Provincial Department of Education for Scientific Research of Colleges and Universities “Study on Hunan's Manufacturing Clusters Leaping to the Global High-end Value Chains”(15A203)
文摘As leading enterprises supporting the agricultural development,agricultural listed companies play a great role,thus the study on their operating efficiency will have a strong demonstration effect. Using the data envelopment analysis( DEA) model,the operating efficiency of 20 agricultural listed companies was compared and analyzed. The results indicated that the overall efficiency of the agricultural listed companies is low. In agricultural listed companies with low or moderate overall efficiency,some agricultural companies are affected by the pure technical efficiency or scale efficiency,while other companies are affected by both factors,and accompanied with the increasing or decreasing efficiency along with the scale. Through in-depth analysis,it concluded that nine companies affected by pure technical efficiency have different degree of input redundancy or output deficiency. On this basis,it came up with pertinent recommendations for improvement.
基金Key Chongqing Municipal Humanities and Social Sciences Research Base Project in Southwest University(SWU0810026)the Fundamental Research Funds for the Central Universities(SWU1209457 and SWU0909510)+5 种基金National Soft Science Fund(2007GXS3D094)Youth Fund Project of Southwest Normal University(SWU07106)Chongqing Soft Science Project(CSTC,2009CE9016)2012 Shizhu Base Science and Technology Innovation Special Fund Projects(sz201208)National Social Science Fund Project(12ASH00412AGL008)
文摘We use the secondary relative benefit model based on DEA to evaluate the performance of agricultural financial expenditure in Guizhou Province, which can give due consideration to the production effectiveness determined by objective natural conditions, and management effectiveness of all regions (as decision-making body) in the use of financial fund for supporting agriculture. In general, there is north-south gradient difference in the performance of financial support for agriculture between regions in Guizhou Province. The drought in 2010 has significant impact on the technical efficiency in the whole province; the performance score of each item in Liupanshui City and Southwest Guizhou is very low; the technical efficiency and management efficiency in most regions need to be improved. In order to improve the performance of financial support for agriculture, we need to ensure the scale of input; at the same time, provide appropriate preferential financial policies for agricultural infrastructure, especially the construction of rural water conservancy, development and promotion of agricultural science and technology, and other fields; adopt the way of special check and acceptance of supporting projects to strengthen the use management of the fund for agriculture.
