scholarly journals Evaluation and Analysis of Poverty-Stricken Counties under the Framework of the UN Sustainable Development Goals: A Case Study of Hunan Province, China

2021 ◽  
Vol 13 (23) ◽  
pp. 4778
Author(s):  
Yanjun Wang ◽  
Mengjie Wang ◽  
Bo Huang ◽  
Shaochun Li ◽  
Yunhao Lin
Keyword(s):  
Sustainable Development ◽  
United Nations ◽  
Index System ◽  
Evaluation Model ◽  
Hunan Province ◽  
Support Vector ◽  
Accuracy Evaluation ◽  
True Value ◽  
Poverty Assessment ◽  
Evaluation Models

Eliminating all forms of poverty in the world is the first United Nations Sustainable Development Goal (SDG). Developing a scientific and feasible method for monitoring and evaluating local poverty is important for the implementation of the SDG agenda. Based on the 2030 United Nations SDGs, in this paper, a quantitative evaluation model is built and applied to all poverty-stricken counties in Hunan Province. First, based on the SDG global index framework and local index system of China, a local SDG index system for poverty-related goals is designed, and the weights of the indexes are derived using an entropy method. The scores obtained for counties and districts with data available are then taken as the true value for the poverty assessment. Second, using National Polar-orbiting Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light images and land use and digital elevation model data, six factors, including socioeconomic, land cover, terrain and traffic factors, are extracted. Third, we then construct multiple linear evaluation models of poverty targets defined by the SDGs and machine learning evaluation models, including regression trees, support vector machines, Gaussian process regressions and ensemble trees. Last, combined with statistical data of poverty-stricken counties in Hunan Province, model validation and accuracy evaluation are carried out. The results show that the R2 and relative error of the localized, multiple linear evaluation model, including all six factors, are 0.76 and 19.12%, respectively. The poverty-stricken counties in Hunan Province were spatially aggregated and distributed mainly in the southeastern and northwestern regions. The proposed method for regional poverty assessment based on multisource geographic data provides an effective poverty monitoring reference scheme for the implementation of the poverty eradication goals in the 2030 agenda.

Index System and Model of Evaluation to Implemented Performance of Patent Strategy from Perspective of Sustainable Development

2014 ◽  
Vol 1073-1076 ◽  
pp. 2852-2856
Author(s):  
Zhi Jin Xu ◽  
Yan Kui Song
Keyword(s):  
Sustainable Development ◽  
Index System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Comprehensive Evaluation Method ◽  
Patent Strategy

The implemented performance of enterprise’s patent strategy is an important component to measure its comprehensive benefits. It is of strategic significance for an enterprise to evaluate objectively its implemented performance of patent strategy. From the perspective of sustainable development, according to the 4 aspects of creation, application, protection and management of patent, the essay constitutes preliminarily a comprehensive evaluation index system of the implemented performance of enterprise’s patent strategy which is composed of a set of 21 indexes on the basis of an amount of domestic and foreign literature survey, case study and expert consultation, and analyzes the evaluation model and method of implemented performance of enterprise’s patent strategy with the fuzzy comprehensive evaluation and through a real case. The essay thinks the constitution of evaluation index system should obey a series of basic principles of objectivity, systematization, science and conciseness and the evaluation in essence is multi-object, multi-factor and multi-layer. Therefore, it is effective and feasible to select the Fuzzy Comprehensive Evaluation method.

scholarly journals Operation Efficiency Evaluation of the China-Europe Freight Train Based on Grey Cross-Efficiency DEA

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jun Zhang ◽  
Jianpeng Chang ◽  
Ping Lin ◽  
Minzi Song ◽  
Yanqiu Gong
Keyword(s):  
Sustainable Development ◽  
Evaluation Model ◽  
Grey System Theory ◽  
Efficiency Evaluation ◽  
Freight Train ◽  
Operation Efficiency ◽  
Evaluation Indicator ◽  
Actual Operating ◽  
Evaluation Models ◽  
Actual Operation

The China-Europe Freight Train (CEFT) serves as an important carrier and platform for international economic cooperation and international trade circulation between China and Europe. Since it worked, its actual operation and development have been affected by many factors, but the level of its actual operating efficiency and the main affecting factors of CEFT have been difficult to find, which has severely limited its sustainable development. Therefore, this paper scientifically selected the operation efficiency evaluation indicator system of CEFT and combined grey system theory, cross-efficiency method, and DEA to construct a new DEA evaluation model based on grey cross-efficiency, which can not only overcome the problem of ignoring the relative importance ratings of the evaluation indicator in the general DEA evaluation model and the traditional cross-efficiency DEA evaluation model but also more accurately evaluate the actual operation efficiency of CEFT. At the same time, based on the actual operating data of CEFT from 2011 to 2018 and the above new evaluation models, the CEFT’s operation efficiency was evaluated and tested by examples, showing that on the one hand, the grey cross-efficiency DEA evaluation model can more accurately evaluate the actual operation efficiency of CEFT than other traditional evaluation models; on the other hand, it is found that the “overseas cities,” “operating lines,” and “entry-exit nodes” are currently the main factors that limit the actual operation efficiency of CEFT and indicating improvement direction for the future efficient and sustainable development of CEFT.

The Comprehensive Evaluation of Sustainable Development Effect in Regional Electricity Enterprises

2012 ◽  
Vol 482-484 ◽  
pp. 524-528 ◽  
Author(s):  
Yun Hui Chen ◽  
Dong Xiao Niu ◽  
Zhe Peng
Keyword(s):  
Power Generation ◽  
Sustainable Development ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Support Vector ◽  
The Sustainable Development ◽  
The Status ◽  
Specific Implementation ◽  
Implementation Problems

This paper analyzes the status and the specific implementation problems of sustainable development of regional electricity enterprises in domestic and foreign. It demonstrates the importance of sustainable development of regional electricity enterprises in market. In order to more reasonably evaluate the importance, this article concludes an evaluation index system which is about sustainable development of the regional electricity enterprises, and a comprehensive evaluation model which is based on rough sets and support vector machine. Taking regional electricity enterprise in Hebei province as an example, it demonstrates that the sustainable development of power generation companies can benefit the power generation companies, power companies, power users and the whole community.

Evaluation of Livable City Based on GIS and PSO-SVM: A Case Study of Hunan Province

2021 ◽  
pp. 2159030
Author(s):  
Qizhen Li ◽  
Qian Fu ◽  
Yi Zou ◽  
Xijun Hu
Keyword(s):  
Hot Spot ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Hunan Province ◽  
Ecological Environment ◽  
Support Vector ◽  
Svm Algorithm ◽  
Urban Problems

Under the background of accelerating urbanization and increasing stress of ecological environment, the construction of livable city has attracted extensive attention and become a hot spot in the study of urban problems in the world. The evaluation of livable city is a reference for the comparison of urban development and also one of the evaluation criteria for the comparison of urban competitiveness. This paper focuses on three different evaluation factors of ecological environment, economic development and public service to construct an evaluation model of environmental quality of livable cities. Then particle swarm optimization (PSO) is introduced to optimize the parameters of support vector machine (SVM), and a SVM algorithm based on PSO (PSO-SVM) is proposed to solve the livable city evaluation model. Finally, the spatial analysis combined with ArcGIS software obtained the livable city evaluation and division results of Hunan Province. The results show that PSO-SVM algorithm is superior to SVM, BA-SVM, GA-SVM, and has the advantages of faster speed and higher classification accuracy.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

scholarly journals An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target

2021 ◽  
Vol 13 (15) ◽  
pp. 8670
Author(s):  
Xiwen Cui ◽  
Shaojun E ◽  
Dongxiao Niu ◽  
Dongyu Wang ◽  
Mingyu Li
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Optimization Methods ◽  
Support Vector ◽  
The Sustainable Development ◽  
Consumption Data ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Carbon Peak

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

Grassland resource evaluation based on improved bp network model and analytic hierarchy process

2020 ◽  
pp. 1-12
Author(s):  
Zhou Jiang ◽  
Zhenwu Wei
Keyword(s):  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Carrying Capacity ◽  
Index System ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Bp Network ◽  
Resource Evaluation ◽  
Environmental Carrying Capacity ◽  
Hierarchy Process

Grassland resources are an important part of land resources. Moreover, it has the functions of regulating the climate, windproof and sand fixation, conserving water sources, maintaining water and soil, raising livestock, providing food, purifying the air, and beautifying the environment in terrestrial ecosystems. Grassland resource evaluation is of great significance to the sustainable development of grassland resources. Therefore, this paper improves the BP neural network, uses the comprehensive index method to calculate the weights in the analytic hierarchy process, and constructs a water resources carrying capacity research and analysis system based on the entropy weight extension decision theory. Meanwhile, this paper analyzes different levels of resource and environmental carrying capacity to achieve the purpose of comprehensive evaluation of resource and environmental carrying capacity. In addition, based on the theory of sustainable development, under the guidance of the principle of index system construction, this paper studies the actual situation of grassland resources and the availability and operability of data, and combines with the opinions given by experts to form an evaluation index system of grassland resources and environmental carrying capacity. Finally, through the actual case study analysis, it is concluded that the model constructed in this paper has a certain effect.

Sign in / Sign up

Export Citation Format

Share Document