scholarly journals Reconstruction of China's Low-Carbon City Evaluation Indicator System

10.1142/9214 ◽  
2014 ◽  
Author(s):  
Jiahua Pan ◽  
Guiyang Zhuang ◽  
Shouxian Zhu ◽  
Ying Zhang
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Low Carbon City

scholarly journals Evaluation of Low-Carbon Development of Chinese Cities in 2018

2021 ◽  
pp. 2150003
Author(s):  
CHEN Nan ◽  
ZHUANG Guiyang ◽  
ZHU Shouxian ◽  
WANG Dong ◽  
LI Jue
Keyword(s):  
Capital Investment ◽  
Indicator System ◽  
Low Carbon ◽  
Central Cities ◽  
Chinese Cities ◽  
Evaluation Indicator ◽  
Service Oriented ◽  
Evaluation Indicator System ◽  
Low Carbon Development ◽  
Low Carbon City

This paper evaluates the low-carbon development of 176 Chinese cities in 2018 using the Low-carbon City Evaluation Indicator System developed by Research Institute for Eco-civilization, Chinese Academy of Social Sciences. The evaluation shows an overall improvement of low-carbon development of cities in China, with 10 cities scoring 90 points and above, and 106 cities scoring 80–89 points. From the perspective of city category, the low-carbon development scores present an order as follows: service-oriented [Formula: see text]-prioritized [Formula: see text] cities. Geologically speaking, eastern cites perform best, western cities come second and central cities come last. Of the three batches of low-carbon city pilots, the scores follow the pattern of Batch [Formula: see text] 3. Most cities are characterized by high carbon consumption and reduced efforts in low-carbon management and capital investment. Finally, this paper proposes to attach more importance to low-carbon development and strengthen capacity building for low-carbon governance; intensify efforts for constructing low-carbon pilots in order to help achieve the goal of carbon emission peak during the “14th Five-Year Plan” period; and to improve the Low-carbon City Evaluation Indicator System.

Construction of a Scientific Evaluation Indicator System for Low-Carbon Tourist Spots

2012 ◽  
Vol 573-574 ◽  
pp. 848-853
Author(s):  
Zheng Liu ◽  
Xin Zhou Hu
Keyword(s):  
Economic Development ◽  
Indicator System ◽  
Low Carbon ◽  
Scientific Evaluation ◽  
Low Carbon Economy ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Good Mode ◽  
Economic Development Model ◽  
Carbon Economy

Nowadays the low-carbon economic development model is becoming more and more popular all over the world. The low-carbon economy requires the reduction of the consumption of high-carbon energy and the emission of greenhouse gas, and the combination of economic development and environmental protection. So the tourist spots should also conform to the trend and set low-carbon tourism as their goals that call for energy conservation and emission reduction to build up a good mode of economic circulation. Under this background, this essay explores to put forward a set of reasonable and concise evaluation indicator system. The system tries to fully reflect low-carbon levels of the tourist spots and find out the problems. What is more, the essay can provide a theory basis for the management and the implementation of policies.

scholarly journals Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 474 ◽  
Author(s):  
Yunfu Qin ◽  
Menglu Li ◽  
Gejirifu De ◽  
Liling Huang ◽  
Shenbo Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Extreme Learning Machine ◽  
Carbon Emissions ◽  
Evaluation Model ◽  
Indicator System ◽  
Practical Significance ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Learning Machine

Carbon emissions and environmental protection issues have become the pressure from the international community during the current transitional stage of China’s energy transformation. China has set a macro carbon emission target, which will reduce carbon emissions per unit of Gross Domestic Product (GDP) by 40% in 2020 and 60–65% in 2030 than that in 2005. To achieve the emission reduction target, the industrial structure must be adjusted and upgraded. Furthermore, it must start from a high-pollution and high-emission industry. Therefore, it is of practical significance to construct a low-carbon sustainability and green operation benefits of power generation enterprises to save energy and reduce emissions. In this paper, an intuitionistic fuzzy comprehensive analytic hierarchy process based on improved dynamic hesitation degree (D-IFAHP) and an improved extreme learning machine algorithm optimized by RBF kernel function (RELM) are proposed. Firstly, we construct the evaluation indicator system of low-carbon sustainability and green operation benefits of power generation enterprises. Moreover, during the non-dimensional processing, the evaluation index system is determined. Secondly, we apply the evaluation indicator system by an empirical analysis. It is proved that the D-IFAHP evaluation model proposed in this paper has higher accuracy performance. Finally, the RELM is applied to D-IFAHP to construct a combined evaluation model named D-IFAHP-RELM evaluation model. The D-IFAHP evaluation results are used as the input of the training sets of the RELM algorithm, which simplifies the comprehensive evaluation process and can be directly applied to similar projects.

Research on Risk of Automotive Product Life Cycle Design Based on Low Carbon Requirements

2014 ◽  
Vol 909 ◽  
pp. 154-159
Author(s):  
Rui Ping Jia
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Indicator System ◽  
Low Carbon ◽  
Product Life ◽  
Evaluation Indicator ◽  
Life Cycle Design ◽  
Evaluation Indicator System ◽  
Hierarchy Process ◽  
Risk Categories

Based on low-carbon and product life-cycle design concept, this paper classifies risk factors in different stages of automotive product life cycle design risk evaluation indicator system and analyzes the different risk categories weight adopting the rough set and analytical hierarchy process to determine the key risks of automotive product in different stages of life cycle. Additionally, real instances are cited to verify the conclusions.

scholarly journals Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2777
Author(s):  
Dongxiao Niu ◽  
Gengqi Wu ◽  
Zhengsen Ji ◽  
Dongyu Wang ◽  
Yuying Li ◽  
...  
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Factors Affecting ◽  
Carbon Neutrality ◽  
Evaluation Indicator ◽  
Order Preference ◽  
Evaluation Indicator System ◽  
Improved Topsis Model ◽  
Improved Technique ◽  
Topsis Model

It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Grading Evaluation of the Structural Connectivity of River System Networks Based on Ecological Functions, and a Case Study of the Baiyangdian Wetland, China

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1775
Author(s):  
Kai Tian ◽  
Xin-an Yin ◽  
Jie Bai ◽  
Wei Yang ◽  
Yan-wei Zhao
Keyword(s):  
Structural Connectivity ◽  
River System ◽  
Indicator System ◽  
Evaluation Methods ◽  
Ecological Functions ◽  
Wetland Ecosystems ◽  
Evaluation Indicator ◽  
Wetland Connectivity ◽  
Evaluation Indicator System ◽  
Baiyangdian Wetland

River system network (RSN) connectivity is important to maintain the environmental and ecological functions of wetlands. Quantitative evaluation of connectivity can provide crucial support for efforts to improve wetland connectivity and to restore and protect wetland ecosystems. Most existing evaluation methods uniformly generalise RSN to form an undifferentiated RSN of edges and nodes that is taken as a whole to evaluate the connectivity. However, actual RSNs comprise rivers, canals, ditches, lakes, and ponds, which differ substantially in their structures, morphologies, and attributes. The mix of RSN elements therefore defines grades that give RSNs distinctive characteristics. Moreover, RSNs with different grades perform different ranges of environmental and ecological functions. The existing evaluation methods, which have some limitations, do not account for these characteristics. To account for these differences, we examined the grade characteristics and their impact on environmental and ecological functions. We established a grading system of RSN elements and a grading method of RSN, and constructed the structural connectivity evaluation indicator system for RSNs at different grades. On this basis, we propose a method for grading evaluation of RSN connectivity. We used China’s Baiyangdian Wetland to demonstrate the use of the system and validate the results. The proposed method provided an objective and accurate evaluation of RSN connectivity and clarified the differences in connectivity among RSNs with different grades, thereby providing improved guidance for the development and maintenance of the environmental and ecological functions of RSNs.

scholarly journals Evaluation of Online Teaching Quality: An Extended Linguistic MAGDM Framework Based on Risk Preferences and Unknown Weight Information

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 192
Author(s):  
Hui Lin ◽  
Jianxin You ◽  
Tao Xu
Keyword(s):  
Online Teaching ◽  
Virus Disease ◽  
Risk Preferences ◽  
Teaching Quality ◽  
Indicator System ◽  
Partial Ranking ◽  
Evaluation Indicator ◽  
Linguistic Term ◽  
Evaluation Indicator System ◽  
Two Stages

Evaluation of online teaching quality has become an important issue because many universities are turning to online classes due to the Corona Virus Disease 2019 (COVID-19) pandemic. In this paper, online teaching quality evaluation is considered as a linguistic multi-attribute group decision-making (MAGDM) problem. Generally, the evaluation sematic information can be symmetrically or asymmetrically distributed in linguistic term sets. Thus, an extended linguistic MAGDM framework is proposed for evaluating online teaching quality. As the main contribution, the proposed method takes into account the risk preferences of assessment experts (AEs) and unknown weight information of attributes and sub-attributes. To be specific, the Delphi method is employed to establish a multi-level evaluation indicator system (EIS) of online teaching quality. Then, by introducing the group generalized linguistic term set (GLTS) with two risk preference parameters, a two-stage optimization model is developed to calculate the weights of attributes and sub-attributes objectively. Subsequently, the linguistic MAGDM framework was divided into two stages. The first stage maximizes the group comprehensive rating values of teachers on different attributes to obtain partial ranking results for teachers on each attribute. The latter stage maximizes the group comprehensive rating values of teachers to evaluate the overall quality. Finally, a case study is provided to illustrate how to apply the framework to evaluate online teaching quality.

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