Efficiency Evaluation Index System Research Articles

Investigating the Working Efficiency of Typical Work in High-Altitude Alpine Metal Mining Areas Based on a SeqGAN-GABP Mixed Algorithm

Man-machine efficacy evaluations of typical work in the safe mining of high-altitude alpine metal mines are associated with fuzziness, multiple indexes, and large subjective components. This results in difficulties in the prediction of the typical work efficiency in high-altitude alpine metal mining areas. In this study, ergonomic theory was applied to establish the evaluation index system of typical work efficiency in high-altitude alpine metal mining areas by studying the cooperative relationship between operators, working machines, working environment, and design variables. First, we investigated the collaborative relationship between workers, operating machinery, operating environment, and design variables in order to establish the evaluation index system of typical work efficiency in high-altitude alpine metal mining areas. Second, principal component analysis (PCA) was integrated with the fusion entropy weight method to (i) analyze the coupling correlation and overlapping effects between the factors influencing efficiency at different altitudes and (ii) to determine the key influencing factors. Third, a model based on the sequence generative adversarial network genetic algorithm backpropagation (SeqGAN-GABP) hybrid algorithm was established to predict the trends in the operating efficiency of typical work types in high-altitude alpine metal mining areas. Finally, three high-altitude alpine metal mines in Xinjiang were selected as representative examples to verify the proposed framework by comparing it with other state-of the art models (multiple linear regression prediction model, backpropagation (BP) neural network model, and genetic algorithm back propagation (GA-BP) neural network model). Results determine the average relative error of each model as 2.74%, 1.97%, 1.29%, and 1.02%, respectively, indicating the greater accuracy of our proposed method in predicting the efficiency of typical work types in high-altitude alpine mining areas. This study can provide a scientific basis for the establishment of mining safety judgment standards in high-altitude alpine areas.

Research on efficiency measurement and spatiotemporal disparity of rural public health services in China.

ObjectiveBased on the rural public health services of 29 regions in China, a service efficiency evaluation index system consisting of input and output dimensions was constructed, and the coupling, coordination and disparity efficiencies of rural public health services in China were studied, providing information to redress the imbalance in the interregional coordinated development.MethodsThe efficiency, spatiotemporal disparity pattern, spatial correlation and evolutionary trend of the coordinated development of rural public health services of 29 regions in China from 2004 to 2018 were analyzed using efficiency and spatial analysis methods such as Data Envelopment Analysis (DEA), kernel density estimation and Moran’s Ⅰ analysis.ResultNowadays, there are problems of unbalanced and insufficient development between the fields and regions in the development of rural public health services in China. The development level of rural public health services in various regions shows a distribution pattern that the service efficiency is “high in the middle”, “middle in the east” and “low in the west”, indicating a spatial cluster effect.

Research on evaluation index system of the operation efficiency in electricity market

In order to ensure the efficient and stable operation of the electricity market, it is very important to set indexes to measure the market efficiency. In this paper, Herfindahl Hirschman Index (HHI) and social welfare index are used to measure the market efficiency. The article improves the traditional HHI. The HHI and social welfare index are standardized by min-max, and applied to a certain electricity market. The calculating results of each index and the result curve after standardization are given by example analysis.

Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon's Entropy: An Example From a Company in a Large City of China

The purpose of this paper is to assess the operational efficiency of a public bus transportation via a case study from a company in a large city of China by using data envelopment analysis (DEA) model and Shannon's entropy. This company operates 37 main routes on the backbone roads. Thus, it plays a significant role in public transportation in the city. According to bus industry norms, an efficiency evaluation index system is constructed from the perspective of both company operations and passenger demands. For passenger satisfaction, passenger waiting time and passenger-crowding degree are considered, and they are undesirable indicators. To describe such indicators, a superefficient DEA model is constructed. With this model, by using actual data, efficiency is evaluated for each bus route. Results show that the DEA model with Shannon's entropy being combined achieves more reasonable results. Also, sensitivity analysis is presented. Therefore, the results are meaningful for the company to improve its operations and management.

Evaluation of green growth efficiency of oil and gas resource-based cities in China

This study takes China's oil and gas resource-based cities as the research object and builds a green growth efficiency evaluation index system from the four dimensions of social economy, resources and environment, science and technology, and government policy. Based on the non-radial and non-angle SBM model combining with the Malmquist–Luenberger (ML) index model for undesired output, it measures the green growth efficiency of oil and gas resource-based cities in China from 2010 to 2017 from both static and dynamic perspectives. It also analyzes the changing trend and room for growth of the green growth level of oil and gas resource-based cities. The results show that: (1) Using the combined SBM and ML methods can scientifically evaluate the green growth efficiency of China's oil and gas resource-based cities; (2) The green growth level of China's oil and gas resource-based cities generally rose first in 2010–2017 and then showed the declining wave momentum. The green growth efficiency has a lot of room for improvement; (3) The green technology progress index (TC) shows a U-shaped changing trend, and however, the TC is greater than 0.7 and approaching to 1 between 2011 and 2017, indicating that green technology progress has a promoting effect on green growth efficiency; (4) Indicating green technological progress is the main factor for improving the green growth efficiency of oil and gas resource-based cities.

An Evaluation Study on Investment Efficiency: A Predictive Machine Learning Approach

This paper proposes a nonlinear autoregressive neural network (NARNET) method for the investment performance evaluation of state-owned enterprises (SOE). It is different from the traditional method based on machine learning, such as linear regression, structural equation, clustering, and principal component analysis; this paper uses a regression prediction method to analyze investment efficiency. In this paper, we firstly analyze the relationship between diversified ownership reform, corporate debt leverage, and the investment efficiency of state-owned enterprises (SOE). Secondly, a set of investment efficiency evaluation index system for SOE was constructed, and a nonlinear autoregressive neural network approach was used for verification. The data of A-share state-owned listed companies in Shanghai and Shenzhen stock exchanges from 2009 to 2018 are taken as a sample. The experimental results show that the output value from the NARNET is highly fitted to the actual data. Based on the neural network model regression analysis, this paper conducts a descriptive statistical analysis of the main variables and control variables of the evaluation indicators. It verifies the direct impact of diversified ownership reform on the investment efficiency of SOE and the indirect impact on the investment efficiency of SOE through corporate debt leverage.

Research on the Technology Innovation Efficiency of China’s Listed New Energy Vehicle Enterprises

As a new industry, the healthy development of new energy vehicle industry is of great significance for effectively solving environmental problems and energy crises. The purpose of this study was to analyze the technological innovation process of China’s new energy vehicle enterprises and construct the evaluation index system of technology innovation efficiency of China’s new energy vehicle enterprises and SBM model-based network DEA model from the two aspects of technology research and development stage and achievement transformation stage. The overall technological innovation efficiency and staged efficiency of 16 listed new energy vehicle enterprises in China were measured and combined with the Malmquist Index Model. The technical change and efficiency change of 16 listed new energy vehicle enterprises in China, spanning from 2012 to 2018, were analyzed. The results show that the average overall efficiency of technological innovation of 16 new energy automobile companies is 0.5515, and the standard deviation is 0.2341. It reflects the low overall efficiency of technological innovation of Chinese new energy vehicle enterprises and the uneven development and the huge gap between different enterprises. From 2012 to 2018, the M index is less than 1, and the technical level change (TC) has a greater negative impact on the M index.

Power Market Operation Efficiency Evaluation Based on a Hybrid BP Neural Network: A perspective from Market Regulator in China

The electricity market reform in China promotes the marketization process of the electricity market, but in this process, there are still some behaviors that disturb the market order. The operation of electricity market needs to be evaluated in order to evaluate its operation efficiency, and the regulatory agency is an important part of it, so it is very necessary to construct the evaluation index and method of the operation efficiency of electricity market from the perspective of the regulatory agency. This paper constructed an evaluation system of power market operation efficiency based on hybrid BP neural network. In the construction of methods, appropriate evaluation methods become very necessary when considering the uncertainty and ambiguity of the assessed things. Based on the above analysis, this paper constructed an evaluation index system of power market operation efficiency based on SCP model, and constructed evaluation methods based on fuzzy Delphi, fuzzy AHP and neural network. Finally, this paper selects the actual data of a certain region for example verification, and conducts sensitivity analysis to analyze the factors that have a key impact on the efficiency of market operation, and draws the conclusion of this paper. This paper hopes that the research results can be applied to the decision-making of regulators in order to make the electricity market run efficiently.

Evaluation Index System of Power Grid Operation Efficiency and Investment Benefit

With the deepening of reform and opening up, and the continuous development of social economy, the operating efficiency and investment benefits of traditional power grids have gradually fallen behind the changes of the times, and further reforms are urgently needed. In response to this situation, a series of detailed and sufficient investigations and studies have been carried out, and a comprehensive and detailed investigation and analysis of the current grid efficiency and benefit evaluation index system have been conducted, and then the current grid efficiency and efficiency individual indicators have been carried out in accordance with the actual situation. It also conducted a comprehensive evaluation of the efficiency and benefit of the power grid.

Online Evaluation System of Power Grid Efficiency

Transmission network is an important part of power system. The operation efficiency of transmission network is one of the important indexes of power system. At present, there is still much room to improve the efficiency of China's transmission network. There is a lack of a suitable system to evaluate the operation efficiency of transmission network. In order to effectively evaluate the efficiency of transmission network, this paper establishes the evaluation index system of transmission network operation efficiency and applies it to the actual power system. The test results verify the feasibility of the proposed index system.

Measurement and Driving Factors of Green Total Factor Manufacturing Energy Efficiency in China

As the largest manufacturer in the world, China has attracted much attention in the green transformation of manufacturing. This paper firstly designs an evaluation index system (EIS) of green total factor manufacturing energy efficiency (GTFMEE), which covers the three industrial wastes as the undesired output. Based on the EIS, the directional distance function (DDF) was adopted to measure the GTFMEEs of 30 provincial administrative regions (provinces) in China from 2010 to 2017. Then, the Tobit model was introduced to empirically analyze the driving factors of the GTFMEE. The results show that: The different provinces varied significantly in GTFME; the high GTFMEE provinces concentrated in the eastern coastal area, while most inland provinces had undesirable GTFMEEs. The eastern, central, and western regions exhibited different dynamic trends of GTFMEE; the eastern region had much higher GTFMEE than the central and western regions. The GTFMEE has a significant positive correlation with economic growth, technological progress, and opening-up, a significant negative correlation with energy structure, and urbanization level, and an insignificant correlation with human potential.

Evaluation of Marine Economic Efficiency of China's Coastal Provinces Based on DEA Model

Yan, Y.; Tsydypova, A., and Zhang, Y., 2020. Evaluation of marine economic efficiency of China's coastal provinces based on DEA model. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 315-318. Coconut Creek (Florida), ISSN 0749-0208.In order to investigate the marine economic efficiency of China's coastal cities, this paper establishes a marine economic efficiency evaluation index system, and uses the DEA model to conduct an empirical evaluation of the marine economic efficiency of 11 coastal provinces and cities in China in 2016. The results show that Tianjin, Shanghai, Jiangsu, Fujian, and Shandong have higher economic efficiencies, Liaoning and Zhejiang have lower economic efficiencies, and Hebei, Guangdong, Guangxi, Hainan, and other provinces are between the two efficiency levels.

Research on the evaluation of comprehensive efficiency of technological innovation and eco-environment in China

To investigate the contribution of technology innovation to eco-environment, this paper sets up a comprehensive efficiency evaluation index system of technology innovation and eco-environment. A relational two-stage data envelopment analysis model with output orientation has been built to evaluate the comprehensive efficiency of technology innovation and eco-environment of 28 provinces of China for 2015. The efficiencies of two-sub-stages, technology innovation efficiency, and eco-environment efficiency have been evaluated and analyzed. The result shows that: first, the average of comprehensive efficiency of technology innovation and eco-environment is 0.1535, which indicates a low level. Second, the results of sub-stages show that the average value of technology innovation efficiency is higher than that of eco-environment efficiency. Third, the comprehensive efficiencies of technology innovation and eco-environment of 28 provinces are mostly influenced by their eco-environment efficiencies. Based on these results, corresponding countermeasures are suggested to improve the comprehensive efficiency of technology innovation and eco-environment of China.

Comprehensive evaluation of rural courtyard utilization efficiency: A case study in Shandong Province, Eastern China

China is implementing the strategy of Rural Revitalization. Revitalizing idle and inefficient utilization courtyards is an important measure for rural revitalization. The evaluation of courtyard utilization efficiency is the basis of determining the idle and inefficient utilization courtyards in order to revitalizing it. This study provided a reference for the optimal use of rural courtyard utilization and revitalization through the quantitative comprehensive evaluation of courtyard utilization efficiency and the classification of courtyard utilization types. Taking Shandong Province in Eastern China as study area, we selected eight surveyed villages by stratified sampling method. According to the scale of the villages, full survey and sample survey were used, while middle-aged men who familiar with the courtyards were selected as the respondents. Through a household questionnaire survey and face-to-face interviews from 2017 to 2018, 578 questionnaires of rural courtyards in eight villages were obtained. Then based on the functions of rural courtyard and land resource conditions, 16 comprehensive factors were formulated, involving land conditions, construction conditions and economic benefits, to build the comprehensive evaluation index system of rural courtyard utilization efficiency. Next the index weight was determined by analytic hierarchy process, and the linear weighted regression model was used to evaluate the utilization efficiency of rural courtyard. Finally, the K-means clustering analysis was used to classify the utilization efficiency of courtyards. The results showed that among the eight villages, the average utilization efficiency of courtyards was moderate (one village was low, five were moderate, and two were high). The proportions of both idle and inefficiently utilized courtyards were high. There were three vital factors leading to the idle and low efficiency of rural courtyards. They were declining rural industries, limited arable land per capita, and more farmer workers. In this case, the utilization efficiency of courtyards should be improved by transferring rural land, developing secondary and tertiary industries, evaluating the development potential of villages, classifying and optimizing courtyard utilization, so as to make full use of idle and inefficient courtyards, increase the income of farmers and collectives and promote the revitalization of rural areas.

Construction of intelligent weapon system effectiveness evaluation index system based on Delphi method

In view of the lack of efficiency evaluation index system of intelligent weapon system and insufficient quantification and refinement of technical indexes, the research on the index system will be carried out from the perspective of completing the task of intelligent weapon system, and the verification index system will be established to realize the evaluation of weapon system efficiency, clarify the use background of intelligent weapon system, and analyze the strength composition of intelligent weapon system, Finally, Delphi method is used to build the effectiveness evaluation index system of the intelligent weapon system, which can be used as a reference for the comprehensive evaluation of the capability of the weapon system. CLC number: TJ02 Document identification code: A

Research on multi-source coordination evaluation model of regional energy Internet

Energy Internet is the direction of energy development and an important means to change energy structure and improve energy efficiency. In order to promote the application and development of energy Internet, starting with the study of the key factors affecting the level of energy efficiency in the regional energy system, a multi-source optimization energy efficiency evaluation index system of regional energy Internet is established. Through the subjective evaluation of the first level indicators, the objective evaluation of the second level indicators and the final comprehensive empowerment, the comprehensive evaluation model of regional energy Internet multi-source optimization energy efficiency is built. Finally, taking a multi-source coordinated optimization operation of a park in Zhejiang Province as an example, the scientific rationality of the evaluation indexes and methods is verified.

Energy Efficiency Evaluation of Industrial Heat Exchangers Based on Fuzzy Matter Element Method

According to the energy consumption status of industrial heat exchanger in the whole life cycle, the energy efficiency evaluation index system of industrial heat exchanger is put forward firstly. Secondly, aiming at the complexity and fuzziness of energy consumption of industrial heat exchanger, the energy efficiency evaluation model of industrial heat exchanger based on fuzzy matter-element method is established by using fuzzy matter-element theory and combining the concept of Hemingway schedule. Finally, taking the shell-and-tube heat exchanger as an example, five shell-and-tube heat exchangers with different designs and materials were selected to analyze their energy consumption advantages and disadvantages. Via calculation and analysis, the optimal energy efficiency design of the shell-and-tube heat exchanger was obtained. At the same time, reference opinions were provided for the design and manufacture of the shell-and-tube heat exchanger.

Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

With increasing global shortage of fresh water resources, many countries are prioritizing desalination as a means of utilizing abundantly available seawater resources. Integrated energy efficiency evaluation is a scientific method for the quantitative analysis of energy efficiency based on multiple indicators and is very useful for investment, construction, and scientific decision-making for desalination projects. In this paper, the energy efficiency evaluation of the micro energy network (MEN) of desalination for multi-source and multi-load is studied, and the basic idea of comprehensive energy efficiency evaluation is analyzed. The process includes the use of a MEN model to establish an integrated energy efficiency evaluation index system, taking into consideration energy, equipment, economic, environmental, and social factors. A combined evaluation method considering subjective and objective comprehensive weights for multi-source multi-load desalination MENs is proposed to evaluate the energy efficiency of desalination and from multiple perspectives.

Investment Effectively and Benefit Evaluation of Transmission Technology Project Based on DEA

With the advancement of power reform, the profit model of the power grid enterprise will undergo major changes. It is requiring the grid enterprise to control its own costs more precise. As a routine maintenance work to ensure the safe and stable transportation of electric energy, the grid technical transformation project has a great impact on the grid operation cost. Due to the many factors involved in the project, it is generally difficult to estimate the investment efficiency and often based on experience. It is difficult for the power grid enterprise to make a scientific and objective assessment of the investment efficiency of the technical transformation project. Firstly, this paper constructs the evaluation index system of investment efficiency of the grid technical transformation project from input-output perspective, and then the DEA method is chosen. Through the analysis of a case study, it proves the effectiveness of the proposed index system and method, and some advices are also given.

Evaluation method for urban renewable energy utilisation efficiency based on DEA model

In order to overcome the low accuracy of urban energy efficiency evaluation, a method of urban renewable energy efficiency evaluation based on DEA model was proposed. Based on the principles of representativeness, comparability, feasibility and DPSIR model, the evaluation index system of urban renewable energy efficiency was constructed. The Analytic Hierarchy Process (AHP) is introduced to screen the indicators. The primary indicators are mainly composed of economy, physics and synthesis. The secondary index mainly consists of elastic coefficient of energy consumption and comprehensive utilisation rate of waste. Based on the evaluation index system, DEA is introduced to construct the evaluation model by taking the city as a decision-making unit DMU, so as to realise the evaluation of urban renewable energy use efficiency. The experimental results show that the evaluation results of the proposed method are closer to the actual situation than the literature results, and the fitting degree is more than 90%.