Input-Output Efficiency of Marine Economy in Coastal Regions Based on the DEA Model

2012 ◽  
Author(s):  
Ren-Xiang Zhai ◽  
Ping Huang
Keyword(s):  
Input Output ◽  
Coastal Regions ◽  
Dea Model ◽  
Marine Economy ◽  
Output Efficiency

scholarly journals Evaluation and Analysis of Environmental Protection Investment Efficiency in China Based on DEA Model

2021 ◽  
Author(s):  
Jilan Bian ◽  
Yao Shan ◽  
Guiyan Zhao
Keyword(s):  
Environmental Protection ◽  
Industrial Structure ◽  
Investment Efficiency ◽  
Input Output ◽  
Dea Model ◽  
Investment Structure ◽  
Dea Efficiency ◽  
Output Efficiency ◽  
Countermeasures And Suggestions ◽  
Environmental Capital

Abstract The environmental protection investment aims at protecting the environment, improving the quality of the environment and preventing the deterioration of the ecological environment. A certain amount of capital is put into environmental protection in the form of money, machinery and other elements to form the environmental capital stock. In this study, the DEA model was used to calculate and analyze the input-output efficiency of environmental protection in China from 2001 to 2015. The results show that the overall efficiency of environmental protection input-output in China was low from 2001 to 2015, and the DEA efficiency was not fully achieved in most years, and the contribution of environmental protection investment to the output of environmental protection industry needs to be further improved. Finally, according to the analysis results of DEA model, the countermeasures and suggestions were put forward to optimize the investment structure of environmental protection and promote the rapid economic development from the aspects of broadening the investment channels of environmental protection, actively guiding residents and enterprises to participate in environmental protection undertakings, optimizing the investment mode of environmental protection, vigorously promoting the progress of environmental protection science and technology, adhering to the circular development, and adjusting the industrial structure.

Research on the Efficiency of Electronic Information Industry in China

2011 ◽  
Vol 403-408 ◽  
pp. 1384-1387
Author(s):  
Jian Yu Ran ◽  
Jian Sheng Zhang
Keyword(s):  
Technical Efficiency ◽  
Information Industry ◽  
Input Output ◽  
Electronic Information ◽  
Dea Model ◽  
Output Efficiency ◽  
Electronic Information Industry

The paper analysed the input-output efficiency of electronic information in 30 provinces of China with DEA model. The results show: the comprehensive technical efficiency values of 30 provinces are all low, with the average of 0.649, and the main reason leading to it is the low pure technical efficiency. Only the three provinces of Beijing, Zhejiang and Chongqing are in the high technical efficiency. Most provinces are in the stage of pay scale increasing, so growing scale and investment are the more efficient ways for the electronic information industry in china.

scholarly journals Public–Private Partnership Infrastructure Investment and Sustainable Economic Development: An Empirical Study Based on Efficiency Evaluation and Spatial Spillover in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8146
Author(s):  
Bingyao Chen
Keyword(s):  
Economic Development ◽  
Infrastructure Investment ◽  
Economic Sustainability ◽  
Regional Economies ◽  
Input Output ◽  
Private Partnership ◽  
Spatial Spillover ◽  
Sustainable Economic Development ◽  
Output Efficiency ◽  
Industrial Heterogeneity

Public–private partnership (PPP), an innovative mode of infrastructure investment, has been widely applied in China and has become an essential policy tool with which to promote sustainable economic development. In order to comprehensively evaluate the economic consequences, using 31 provinces in China from 2003 to 2018 as samples, first, stochastic frontier analysis was performed to measure the input–output efficiency of infrastructure investment to evaluate the economic sustainability and efficiency of PPP compared to single government-led investment mode. Next, the overall economic growth effect of PPP was verified. Further, from the perspective of sustainable development of regional economies, the double-fixed effect spatial Durbin model was adopted to empirically test the spatial spillover effect of PPP and clarify its industrial heterogeneity. The results show the following. (1) The average input–output efficiency of infrastructure is 0.449, revealing a distribution law of decreasing from east to west and remarkable regional variation. However, a good trend of improvement emerged, reflecting the economic sustainability of infrastructure investment, and PPP has played a positive role in promoting it. (2) PPP has significant and positive economic growth and spatial spillover effects, which can promote regional economic integration, embodying its economic sustainability function. (3) The economic impact of PPP has significant industrial heterogeneity. Transportation PPP can bring greater economic benefits, confirming the vital position of transportation infrastructure in the sustainable development of regional economies. Energy and water PPPs have positive externalities. All of this provides powerful and reliable proof of the realization of sustainable economic development under the regional virtuous circle driven by infrastructure investment through PPP.

scholarly journals Research on the public sports service efficiency and spatial-temporal evolution in China

2021 ◽  
Author(s):  
JIAO LINYAN ◽  
QIAO ZIWEI ◽  
MI SIMENG ◽  
Jung Woo Jin
Keyword(s):  
Spatial Data ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Data Envelopment ◽  
Input Output ◽  
Super Efficiency ◽  
The Public ◽  
Output Efficiency ◽  
The Difference

<p>Taking 31 provinces as the research object, this paper constructed the input-output efficiency evaluation index system of public sports service in China. The paper evaluated the input-output efficiency level and spatial-temporal pattern of public sports services using the methods of data envelopment analysis and exploratory spatial data analysis. The results show that: (1) The average comprehensive super-efficiency value of public sports service in 2016 was higher than that in 2008, and the provinces with the comprehensive super-efficiency value greater than 1 increased, but the difference between provinces in 2016 was more obvious. (2) Compared with 2008, the efficiency distribution of public sports service in 2016 is more balanced among the three regions, the difference between the eastern region and the central region is reduced. (3) The efficiency of public sports service has different spatial correlation in the geographical spatial distribution, and this correlation shows the reverse in the two measurements.</p>

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