에코 효율성은 경제 및 자원 환경의 지속가능한 발전의 중요한 요인이다. 에코 효율성은 중국의 지역 경제 및 자원 환경의 평가 척도가 된다. 본 연구는 3단계 DEA 모델을 이용하여 2014년도의 중국에 있는 31개성의 에코 효율성을 분석 하였다. 분석결과, 외부환경변수인 환경 거버넌스의 총 투자액, 2차 산업 및 1인당 자동차 소유량이 중국 지역의 에코 효율성에 많은 영향을 미치고 있는 것으로 분석되었다. 외부환경 및 임의오류를 제외한 후 중국 지역의 에코 효율성은 0.526에서 0.639로 증가하였고, 순수 기술 효율성은 0.650에서 0.858로 증가하였으며, 규모 효율성은 0.833에서 0.740로 감소하였다. 또한 순수 기술 효율성 및 규모 효율성의 측정을 위해서 중국에 있는 31개성을 4가지 유형으로 구분하였다. 분석결과, 중국의 각 성은 에코 효율성을 개선하기 위해 각성의 특성에 적합한 에코 효율성 유형에 따라 관리수준을 제고하거나 생산규모를 확대해야 하는 것으로 분석되었다.
에코 효율성은 경제 및 자원 환경의 지속가능한 발전의 중요한 요인이다. 에코 효율성은 중국의 지역 경제 및 자원 환경의 평가 척도가 된다. 본 연구는 3단계 DEA 모델을 이용하여 2014년도의 중국에 있는 31개성의 에코 효율성을 분석 하였다. 분석결과, 외부환경변수인 환경 거버넌스의 총 투자액, 2차 산업 및 1인당 자동차 소유량이 중국 지역의 에코 효율성에 많은 영향을 미치고 있는 것으로 분석되었다. 외부환경 및 임의오류를 제외한 후 중국 지역의 에코 효율성은 0.526에서 0.639로 증가하였고, 순수 기술 효율성은 0.650에서 0.858로 증가하였으며, 규모 효율성은 0.833에서 0.740로 감소하였다. 또한 순수 기술 효율성 및 규모 효율성의 측정을 위해서 중국에 있는 31개성을 4가지 유형으로 구분하였다. 분석결과, 중국의 각 성은 에코 효율성을 개선하기 위해 각성의 특성에 적합한 에코 효율성 유형에 따라 관리수준을 제고하거나 생산규모를 확대해야 하는 것으로 분석되었다.
Ecological efficiency is an important index measuring and reflecting the sustainable development level of economy, resources and environment in a region. This paper makes an empirical study on the ecological efficiency of 31 provinces in China in 2014 with the three-stage DEA model. The results show...
Ecological efficiency is an important index measuring and reflecting the sustainable development level of economy, resources and environment in a region. This paper makes an empirical study on the ecological efficiency of 31 provinces in China in 2014 with the three-stage DEA model. The results show that the three indexes, the total investment in environmental governance (Unit: hundred million Yuan), the second industry proportion(%), and per capita automobile ownership (car/ten thousand people) functioning as the external environmental variables have significantly impacted the regional ecological efficiency. Excluding the impact of the external environment and statistical noise, the technical efficiency of regional ecological efficiency has increased from 0.526 to 0.639, and the pure technical efficiency has increased from 0.650 to 0.858, with the scale efficiency decreased from 0.833 to 0.740, accurately reflecting the regional ecological efficiency level. 31 Chinese provinces are classified into four different types according to the pure technical efficiency and scale efficiency. Every region shall, according to the characteristics of its efficiency, emphasize differently on improving the management level or expanding the scale of production so as to improve the ecological efficiency.
Ecological efficiency is an important index measuring and reflecting the sustainable development level of economy, resources and environment in a region. This paper makes an empirical study on the ecological efficiency of 31 provinces in China in 2014 with the three-stage DEA model. The results show that the three indexes, the total investment in environmental governance (Unit: hundred million Yuan), the second industry proportion(%), and per capita automobile ownership (car/ten thousand people) functioning as the external environmental variables have significantly impacted the regional ecological efficiency. Excluding the impact of the external environment and statistical noise, the technical efficiency of regional ecological efficiency has increased from 0.526 to 0.639, and the pure technical efficiency has increased from 0.650 to 0.858, with the scale efficiency decreased from 0.833 to 0.740, accurately reflecting the regional ecological efficiency level. 31 Chinese provinces are classified into four different types according to the pure technical efficiency and scale efficiency. Every region shall, according to the characteristics of its efficiency, emphasize differently on improving the management level or expanding the scale of production so as to improve the ecological efficiency.
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문제 정의
The research object of this paper is Chinese regional eco-efficiency whose core idea is: to realize as much value output as possible in the economic development with less consumption of resources and pollution emissions, and to analyze the influencing factors of eco-efficiency to seek the best combination of economic growth and ecological environment improvement in the development process. This is consistent with the requirements of the input and output indexes of the DEA model.
(2014) analyzed the relationship between industrial structure and environmental pollution, realizing that the secondary industry share had a significantly positive impact on environmental pollution. This paper adopts the secondary industry share to represent the industrial structure components to analyze the influence of the secondary industry share on the slack variables of ecological efficiency. The industrial structure is the main link for human being to act on the ecosystem environment, and the rationality of the industrial structure determines the economic benefit, the resource utilization efficiency and the ecological environment.
제안 방법
After adjusting the input variables in the second stage, using the DEA-CCR and BBC models again to analyze Chinese regional ecological efficiency and the real ecological efficiency of China is obtained. The calculated results are shown in Table 5.
An eco-efficiency research method based on the three-stage DEA model would be constructed in this paper, which can not only evaluate the regional eco-efficiency, but also clearly judge the main external environmental factors for the regional eco-efficiency, and furthermore provide explicit direction to improvement of eco-efficiency. Therefore, the three-stage DEA model can provide a new attempt for the quantitative study of ecological efficiency, and has better practical application value.
Based on the analysis of the regional ecological efficiency in China in 2014, this paper analyzes the regional differences, and evaluates the economic, resource and environmental situations of each province from the perspective of ecological efficiency. The purpose of the study is to identify, using the three-stage DEA model, whether efficiency differences before and after eliminating the influences of external factors and statistical noise exist, and to confirm which region is influenced most by external factors and statistical noise.
In this paper, we use CCR and BCC models to calculate the technical efficiency and pure technical efficiency of China's regional ecological efficiency, and further calculate the scale efficiency.
Fried (2002) pointed out that the traditional DEA model did not consider the influence of environmental factors and statistical noise on the efficiency evaluation of the decision making units, and put forward a new evaluation method to more accurately calculate the efficiency of decision making unit based on the three-stage DEA model. The model retains the advantages of traditional DEA model, and combines the SFA(Stochastic Frontier Analysis) and makes up for the defects of DEA, excluding the environmental effects and statistical noise, and thus the decision making units can evaluate their efficiency with the same environment and statistical noise. The model consists of three stages.
Based on the analysis of the regional ecological efficiency in China in 2014, this paper analyzes the regional differences, and evaluates the economic, resource and environmental situations of each province from the perspective of ecological efficiency. The purpose of the study is to identify, using the three-stage DEA model, whether efficiency differences before and after eliminating the influences of external factors and statistical noise exist, and to confirm which region is influenced most by external factors and statistical noise. The thesis not only can help reveal more realistic Chinese regional eco-efficiency, but it can also display the influences of external factors and statistical noise on eco-efficiency.
The purpose of the study is to identify, using the three-stage DEA model, whether efficiency differences before and after eliminating the influences of external factors and statistical noise exist, and to confirm which region is influenced most by external factors and statistical noise. The thesis not only can help reveal more realistic Chinese regional eco-efficiency, but it can also display the influences of external factors and statistical noise on eco-efficiency. It studies the influencing factors on ecological efficiency and seeks ways to improve regional ecological efficiency, which provides some policy references for China to actively change the mode of economic development and realize the coordinated development of economy, resources and environment.
성능/효과
Second, Compared to the ecological efficiency of the first and the third stages, the ecological efficiency of the provinces and cities before and after the adjustment has changed significantly. Excluding the impact of external environment variables and statistical noise, the nationwide average technical efficiency has increased from 0.526 to 0.639, and the average pure technical efficiency has increased from 0.65 to 0.858, while the average scale efficiency has decreased from 0.833 to 0.74, all of which show that external environmental effects and statistical noise do have important effects on the ecological efficiency, and the efficiency value obtained by means of the three-stage DEA model can reflect the actual level of ecological efficiency in various provinces and cities.
The regression coefficients of the per capita civilian car ownership to the five variables are negative, and are significant at the significant level of 10% or 1%. The results show that when the per capita car ownership increases, the input variables of the five input indexes will be reduced, which is inconsistent with the theoretical expectations.
Qu Lingfu(2010), by analyzing the causes of urban pollution discovered that the pollution caused by automobile had become one of the main pollution sources to the urban environment and air environment. The study showed that the automobile environmental pollution had become an important issue in the world, and the impact of the automobile on the ecological environment was enormous. Therefore, per capita civilian car ownership is selected as the external environmental variable of ecological efficiency.
Third, With the efficiency value of 0.9 the critical point, the ecological efficiency of all Chinese provinces and cities is divided into four types, namely "high-high", "high-low", "low-high" and “low-low".
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