The Study of The Enterprise Performance Evaluation System in Low-Carbon Economy

2013 ◽  
Vol 8 (5) ◽  
pp. 1201-1208
Author(s):  
Yunguang Long ◽  
Jieyi Pan
2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.


2011 ◽  
Vol 66-68 ◽  
pp. 631-636
Author(s):  
Ye Zhou ◽  
Zhi Song Ye ◽  
Yun Zhu Wang

The low-carbon economy becomes a hot issue in every country after Copenhagen’s meeting, and Logistics enterprise is an important economic entity to achieve a low carbon economy, so how to effectively evaluate the effect of logistics enterprises and low-carbon benefits of emission reduction become a problem that really needed to solve. Therefore, it evaluated the effects of low-carbon benefits of logistics respectively from the economic benefits, logistics operational efficiency and CO2 emission reduction by AHP. Based on it, logistics enterprise evaluation model of low-carbon benefits was built in the way of fuzzy comprehensive evaluation, and finally verified the effectiveness of the evaluation system with a case.


2017 ◽  
Vol 14 (1) ◽  
pp. 157-161
Author(s):  
Xie Jing ◽  
Xu Na ◽  
Zhang Lin

Due to the increase in global carbon dioxide emissions, climate change, rising sea levels and other issues have become increasingly prominent. In the three major industries, industrial emissions of carbon dioxide accounted for the largest proportion of the total emissions. Developing a low-carbon economy, especially with regard to industrial low-carbon economy, has become the only way for Chinese society to achieve sustainable development. Building a scientific evaluation system of a low-carbon economy is an essential way to assess the level of regional industrial low-carbon economy comprehensively and correctly. In this paper, we establish the Hebei low-carbon economy Evaluation System based on DSR model, according to the industrial carbon economic development in Hebei Province, using factor analysis to obtain the main factors affecting the low-carbon economy in Hebei Province, establishing extended model, then propose measures for Hebei industrial low-carbon economic development.


2013 ◽  
Vol 690-693 ◽  
pp. 933-937
Author(s):  
Yan Ting Ma ◽  
Chun Jie Ma

Since the country put forward the construction of low carbon city, government and citizens begin to make energy saving, environmental protection, and low carbon consciousness into their daily life. Construct the overall evaluation system of urban low-carbon level helps accurate understanding and quantifying citys low-carbon level, thus promotes its construction and development. Based on the analysis of the connotation of low carbon city, this paper selects indicators from six aspects, which are low-carbon economy, low-carbon construction, low-carbon traffic, low-carbon life, low-carbon environment and low-carbon society, to construct the evaluation system of urban low-carbon level, and assess whether the city had done a good job on low carbon development.


2014 ◽  
Vol 641-642 ◽  
pp. 624-628 ◽  
Author(s):  
Dong Mei Ni ◽  
Rui Han Liu

In this paper, EU smart city evaluation system is introduced, and every index and its characteristic is explained particularly. Smart city construction of foundation is created by innovation. They emphasized green, low carbon economy and lifestyle and encouraging public participation, advocate social forces to participating in urban development. From the ranking result, it is known that the EU smart city construction has the following characteristics: The level of EU smart city development is not balanced. Smart move, smart people and the smart life is better overall development. The development of the city itself is not balanced.


Author(s):  
Wenyan Pan ◽  
Muhammad Awais Gulzar ◽  
Waseem Hassan

The “driver–pressure–state–impact–response” (DPSIR) model has recently become a popular approach to deal with environmental problems. The combination of DPSIR with analytic hierarchy process (AHP) is a useful method to study low-carbon evaluation because the AHP model has a special advantage in multi-indexes evaluation. This paper constructs the low-carbon economy evaluation system and comprehensively evaluates the numerical value of low-carbon economic development of China’s 30 regions from 2000 to 2015 by using the AHP method. It shows that the numerical value of low-carbon economy of China’s 30 regions varies in terms of growth rate. The numerical value of east regional low-carbon economy shows a pattern that is gradually higher than that of the west region. The numerical value of low carbon economic development in the south region is higher than that of the north region by degrees. In addition, based on the model of coordination degree in 2015, the result indicated that the four subsystems have primary coordination in the east area and bare coordination in the central and west areas. It is indicated that the four sub-indexes should be developed at the same pace and promoting the development of a low-carbon economy in the mid-west areas is the key in China. Finally, we proposed that environmental regulations and policies should be formulated to improve coordination in various aspects and various departments. Calculating the degree of low-carbon economic coupling coordination may be helpful for policy makers to formulate effective policies and take actions in the future.


2011 ◽  
Vol 121-126 ◽  
pp. 4105-4111
Author(s):  
Fang Hu ◽  
Lin Li ◽  
Zhi Hua Liu

Researches on the method of the performance evaluation of government investment in public project are mainly embodied in indicator system. However, these models do not attach importance to the applicability. So, it causes lack of suitable evaluation model for evaluating the projects of government investment in public project in Low-Carbon Economy. Therefore, this article in accordance with the characteristics of this investment in public projects, combined the gray relational analysis method, fuzzy comprehensive evaluation method and stepwise discriminate analysis method with their respective advantages to develop a new algorithm——GFS algorithm. Using the GFS algorithm can do discriminate analysis for a new investment project. Practice shows that the GFS algorithm has a good effect. It can provide the theoretical basis for decision-making of senior government managers.


2013 ◽  
Vol 850-851 ◽  
pp. 1339-1342 ◽  
Author(s):  
Li Na Zhang ◽  
Xiao Jian Peng

Adopting the PCA and AHP methods, this paper builds up the low-carbon economic development evaluation system on four aspects: resource endowments, level of technology, consumption patterns and stages of development, to evaluate the low-carbon economy on subsystem and comprehensive development prospect. Taking Nanchang city for example, the research conclusion shows that the low-carbon economy of Nanchang enjoys a good momentum of development rising, which conforms to the reality and turns out to be practical. In this context, we propose feasibility countermeasures and suggestions for the development of Nanchangs low-carbon economy at the end of this paper.


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