Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901823360> ?p ?o ?g. }
- W2901823360 endingPage "71" @default.
- W2901823360 startingPage "56" @default.
- W2901823360 abstract "Rural water conservancy is crucial to the development of agriculture which is the foundation of national economy in China. During the period of the 12th Five-Year Plan from 2011 to 2015, Chinese government promoted the rural water conservancy investment vigorously and obtained some achievements. Meanwhile, there were some problems faced in the rural water conservancy such as a weak foundation of rural water conservancy, an uneven distribution of rural water resources by time and space, low investment efficiency. Therefore, the investment efficiency of rural water conservancy needs to be systematically and comprehensively evaluated, and the evaluation results for the period of the 12th Five-Year Plan from 2011 to 2015 can provide reliable references for China’s rural water conservancy investment over the period of the 13th Five-Year Plan from 2016 to 2020. Based on the existing study findings, this study conductes the empirical analysis for the investment efficiency of China’s rural water conservancy during the period of 2011 to 2015 using the data envelopment analysis (DEA) model and Malmquist productivity index (MPI) model from the spatiotemporal perspective. The statistical data of the 31 provinces over the period of 2011 to 2015 are gathered as inputs and outputs of the DEA model and MPI model. It finds that the average investment efficiency of China’s rural water conservancy in each year during the study period is 0.732 and the investment efficiency fluctuates for the same period, which is mainly caused by scale efficiency (SE). The investment efficiency of China’s rural water conservancy is decreased by an average of 1.2% from 2011 to 2015, which is principally due to technology change (TC). From the regional aspect, the investment efficiency of rural water conservancy in the eastern, central, northeast and western regions increase successively, which means uneven distribution of investment efficiency among the four regions. Based on the MPI analysis of the four regions, only the investment efficiency of eastern region improved by an average of 4.3% for each year, while the investment efficiency of the other three regions all decreased. At the provincial level, disequilibrium in the investment efficiency of rural water conservancy existed in the 31 provinces. Only the four provinces including Shanghai, Hainan, Tibet and Xinjiang were DEA efficiency for each year during the study period. The improvement of the investment efficiency among the 31 provinces in China mainly relied on the investment expansion and the technology innovation of rural water conservancy. Furthermore, the method provided in this study can be not only used to analyze the investment efficiency of rural water conservancy in other developing countries, but also to evaluate the investment efficiency of the other fields in the time and space dimensions." @default.
- W2901823360 created "2018-11-29" @default.
- W2901823360 creator A5005396467 @default.
- W2901823360 date "2019-03-01" @default.
- W2901823360 modified "2023-09-27" @default.
- W2901823360 title "Spatiotemporal analysis for investment efficiency of China’s rural water conservancy based on DEA model and Malmquist productivity index model" @default.
- W2901823360 cites W1974740444 @default.
- W2901823360 cites W1980637739 @default.
- W2901823360 cites W1987294743 @default.
- W2901823360 cites W1994082676 @default.
- W2901823360 cites W1999095619 @default.
- W2901823360 cites W2003334068 @default.
- W2901823360 cites W2011763063 @default.
- W2901823360 cites W2014745581 @default.
- W2901823360 cites W2015027435 @default.
- W2901823360 cites W2028924144 @default.
- W2901823360 cites W2040770625 @default.
- W2901823360 cites W2043147463 @default.
- W2901823360 cites W2048654659 @default.
- W2901823360 cites W2052685060 @default.
- W2901823360 cites W2053260214 @default.
- W2901823360 cites W2055831204 @default.
- W2901823360 cites W2058905254 @default.
- W2901823360 cites W2067392697 @default.
- W2901823360 cites W2076252304 @default.
- W2901823360 cites W2076452041 @default.
- W2901823360 cites W2081541758 @default.
- W2901823360 cites W2091672249 @default.
- W2901823360 cites W2104259098 @default.
- W2901823360 cites W2106801990 @default.
- W2901823360 cites W2129763896 @default.
- W2901823360 cites W2130592103 @default.
- W2901823360 cites W2155252538 @default.
- W2901823360 cites W2313871195 @default.
- W2901823360 cites W2345031045 @default.
- W2901823360 cites W2561763664 @default.
- W2901823360 cites W2607533411 @default.
- W2901823360 cites W2617120791 @default.
- W2901823360 cites W4249642514 @default.
- W2901823360 cites W4293247377 @default.
- W2901823360 cites W909307386 @default.
- W2901823360 cites W918383577 @default.
- W2901823360 doi "https://doi.org/10.1016/j.suscom.2018.11.004" @default.
- W2901823360 hasPublicationYear "2019" @default.
- W2901823360 type Work @default.
- W2901823360 sameAs 2901823360 @default.
- W2901823360 citedByCount "9" @default.
- W2901823360 countsByYear W29018233602019 @default.
- W2901823360 countsByYear W29018233602020 @default.
- W2901823360 countsByYear W29018233602021 @default.
- W2901823360 countsByYear W29018233602022 @default.
- W2901823360 countsByYear W29018233602023 @default.
- W2901823360 crossrefType "journal-article" @default.
- W2901823360 hasAuthorship W2901823360A5005396467 @default.
- W2901823360 hasConcept C105795698 @default.
- W2901823360 hasConcept C120009192 @default.
- W2901823360 hasConcept C129047720 @default.
- W2901823360 hasConcept C134560507 @default.
- W2901823360 hasConcept C136764020 @default.
- W2901823360 hasConcept C144133560 @default.
- W2901823360 hasConcept C153823671 @default.
- W2901823360 hasConcept C162324750 @default.
- W2901823360 hasConcept C166957645 @default.
- W2901823360 hasConcept C175605778 @default.
- W2901823360 hasConcept C17744445 @default.
- W2901823360 hasConcept C18903297 @default.
- W2901823360 hasConcept C191935318 @default.
- W2901823360 hasConcept C199539241 @default.
- W2901823360 hasConcept C204983608 @default.
- W2901823360 hasConcept C205649164 @default.
- W2901823360 hasConcept C22088475 @default.
- W2901823360 hasConcept C27548731 @default.
- W2901823360 hasConcept C2777017832 @default.
- W2901823360 hasConcept C2777382242 @default.
- W2901823360 hasConcept C33923547 @default.
- W2901823360 hasConcept C41008148 @default.
- W2901823360 hasConcept C48824518 @default.
- W2901823360 hasConcept C50522688 @default.
- W2901823360 hasConcept C86803240 @default.
- W2901823360 hasConcept C94625758 @default.
- W2901823360 hasConceptScore W2901823360C105795698 @default.
- W2901823360 hasConceptScore W2901823360C120009192 @default.
- W2901823360 hasConceptScore W2901823360C129047720 @default.
- W2901823360 hasConceptScore W2901823360C134560507 @default.
- W2901823360 hasConceptScore W2901823360C136764020 @default.
- W2901823360 hasConceptScore W2901823360C144133560 @default.
- W2901823360 hasConceptScore W2901823360C153823671 @default.
- W2901823360 hasConceptScore W2901823360C162324750 @default.
- W2901823360 hasConceptScore W2901823360C166957645 @default.
- W2901823360 hasConceptScore W2901823360C175605778 @default.
- W2901823360 hasConceptScore W2901823360C17744445 @default.
- W2901823360 hasConceptScore W2901823360C18903297 @default.
- W2901823360 hasConceptScore W2901823360C191935318 @default.
- W2901823360 hasConceptScore W2901823360C199539241 @default.
- W2901823360 hasConceptScore W2901823360C204983608 @default.
- W2901823360 hasConceptScore W2901823360C205649164 @default.
- W2901823360 hasConceptScore W2901823360C22088475 @default.
- W2901823360 hasConceptScore W2901823360C27548731 @default.