scholarly journals Research on Input-output Efficiency of Urban Industrial Land based on Super-SBM Model

2019 ◽  
Vol 136 ◽  
pp. 04016
Author(s):  
Quanhua Qian ◽  
Xu Lu
Keyword(s):  
Spatial Distribution ◽  
Variable Coefficient ◽  
Liaoning Province ◽  
Input Output ◽  
Fixed Asset ◽  
Industrial Land ◽  
Sbm Model ◽  
Output Efficiency ◽  
The Difference ◽  
Output Indicators

The industrial land efficiency of 14 prefecture-level cities in Liaoning Province in China was measured and calculated by using three categories of input indicators (land, fixed asset, employed person) and output indicators (output value, profit, pollutant) and by using Super-SBM model. The results showed that the most of industrial land efficiency of every prefecture-level city in Liaoning Province was completely coordinated, the difference in their efficiency values was larger, the variable coefficient of their efficiency was large, and they had obvious two polarization; besides, they showed the decrease progressively from east to west on the spatial distribution and the trend of reducing from periphery to inner.

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>

Research on Regional Differences and Convergence of Energy Efficiency in China

2011 ◽  
Vol 347-353 ◽  
pp. 3952-3955 ◽  
Author(s):  
Jian Sheng Zhang
Keyword(s):  
Energy Efficiency ◽  
Convergence Analysis ◽  
Regional Differences ◽  
Western Region ◽  
Input Output ◽  
The West ◽  
Regional Energy ◽  
The Difference ◽  
Convergence Trend ◽  
Output Indicators

Basing on the input-output indicators, this paper analysed the regional energy efficiency of China by DEA model. The results showed: the energy efficiency in each region of China continues to be improved, but the rising speed was slow; the difference of energy efficiency in each region was great, specifically speaking, the east was the best and the middle was better and the west was the worst; from the convergence analysis on energy efficiency, it indicated that there was a convergence trend on energy efficiency in each region of China, and the eastern and middle regions were convergence, but it was divergent in the western region.

scholarly journals Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

2021 ◽  
Vol 13 (9) ◽  
pp. 4687
Author(s):  
Yu Lin ◽  
Wenhui Chen ◽  
Junchang Liu
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Malmquist Index ◽  
Fixed Effect ◽  
Practical Significance ◽  
Total Output ◽  
Eastern Region ◽  
Fixed Asset ◽  
Temporal And Spatial Distribution ◽  
Output Efficiency

Forestry output efficiency is key to forestry development. China is now promoting the development of forestry, and thus the research on forestry output efficiency is of practical significance. Through the data envelopment analysis (DEA)-Malmquist index, spatial autocorrelation model, and fixed effect model of panel data, in this study, we analyzed the forestry output efficiency of China with indicators, such as the fixed asset input, employed personnel, total output value, and timber output, and drew the following conclusions. In the time series, the forestry total-factor productivity (TFP) in China saw a rapid increase, which is attributed to the technological progress change (TC), whereas the efficiency change (EC) imposed negative influences upon the forestry TFP. In the spatial distribution, there was a difference in the increase in the forestry output efficiency among the eastern, central, and western regions of China, with the eastern region having the fastest growth and the central region having the slowest growth. According to the spatial autocorrelation, there was spatial aggregation (high–high (HH) and low–low (LL)) with a significant positive correlation. Through the optimized fixed effect regression model, the fixed asset input, employed personnel, total output value, and timber output all had significant influences on the comprehensive technical efficiency of the forestry output, wherein the input indicators had negative influences, and the output indicators had positive influences.

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>

Research on the Public Sports Service Efficiency and Spatial-Temporal Evolution in China

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110566
Author(s):  
Linyan Jiao ◽  
Ziwei Qiao ◽  
Simeng Mi ◽  
WooJin Jung
Keyword(s):  
Spatial Data ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Data Envelopment ◽  
Input Output ◽  
Super Efficiency ◽  
The Public ◽  
Output Efficiency ◽  
The Difference

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.

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.

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