Evaluation Index System Of Level Research Articles

Research on the evaluation of the manual manipulation level of a student pilot in a typical scene

The traditional evaluation method of student pilots ' manual manipulation level relies too much on teachers' subjective judgment. A quantitative evaluation method based on flight data is proposed to compensate for the shortcoming of the traditional method. According to the theory of the core competence of a pilot, the evaluation index system of manual manipulation level of student pilots in a typical scene is constructed. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) categorizes pilot manipulation levels into four grades. The improved support vector machine (SVM) model with particle swarm optimization (PSO) is trained using index data and rank labels as inputs. The data is split into training and verification sets with the cross-validation method. The training data for Guanghan Airport are taken as an example to verify the model's reliability. The model's prediction accuracy is compared with that of K-nearest neighbor and random forest models. The results show that the PSO-SVM model has higher prediction accuracy. The research can provide a theoretical reference for quantitatively evaluating manual manipulation levels and improving flight training quality.

Evaluation of the Development Level of Green Transportation in National Central Cities

Green transportation is the core embodiment of ecological civilization and the concept of green development within the field of transportation, and it is an important strategic choice for sustainable urban development. National central cities represent the highest level in China’s urban system planning. This paper aims to evaluate the level of green transportation development in national central cities. It established a set of 29 specific evaluation indicators from five dimensions: basic indicators, green transportation infrastructure, traffic environmental protection, traffic travel, and traffic safety. It constructed an evaluation index system for the development level of green transportation. The entropy weight TOPSIS method was utilized to evaluate the development levels of green transportation in nine national central cities from 2020 to 2022. An obstacle degree model was constructed to identify key obstacle factors at both the criterion and indicator layers of the green transportation development level evaluation index system for national central cities. Suggestions were proposed from five aspects: establishing a comprehensive policy framework, promoting regional collaborative development, accelerating infrastructure construction, improving transportation service quality, and fostering the green upgrading of industries. The results showed that the comprehensive ranking of green transportation development levels among the national central cities from high to low for the years 2020–2022 was as follows: Shanghai, Chongqing, Chengdu, Beijing, Guangzhou, Tianjin, Wuhan, Xi’an, Zhengzhou. In terms of the regional spatial layout, the green transportation development levels of the nine national central cities generally exhibited a “high on the periphery, low in the center” distribution characteristic. The comprehensive ranking of the obstacle degree in the criterion layer was as follows: basic indicators, traffic travel, green transportation infrastructure, traffic environmental protection, traffic safety. After screening the criteria level where the obstacle degree calculation results are above 15%, traffic safety is eliminated. The nine cities, which were located in different regions, generally maintained consistent internal obstacle factors and their order. The top five indicators with the highest frequency of obstacle degrees at the indicator layer were as follows: total passenger transport volume, number of taxis, new energy vehicle production, expenditure for transportation, and total freight transport volume. The specific key obstacle factors at the indicator level were different in the nine cities.

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion.

With the world population growth, energy consumption and the rapid development of industrial economy, a large amount of carbon emissions has brought destruction and threats to the earth's environment on which human beings depend. The development of low-carbon economy has become the consensus of governments all over the world and has been vigorously advocated & promoted. This paper focuses on the top five global GDP nations in 2022: The United States, China, Japan, Germany, and Britain. A comprehensive evaluation index system of urban low-carbon economic development level is constructed from four dimensions: economic development level, environmental quality, energy consumption emission intensity and social development speed by using literature review and field interview. The evaluation measures are determined using the TOPSIS evaluation method with entropy weight and the grey relational model, providing a comprehensive assessment of the low-carbon economy's development level in these five countries." Judging from the comprehensive evaluation score, the overall development of low-carbon economy in American cities is in good condition and has reached the development standard of low-carbon economy; Germany and Japan rank second and third, and they are low-carbon economies. Britain ranks fourth in comprehensive evaluation, although it belongs to a low-carbon economy country, but there is still a certain gap with Germany and Japan; There is still a big gap between China and the other four countries. Based on the measurement and evaluation outcomes, it presents recommendations and strategies to foster the growth of low-carbon economies, offering valuable insights for the advancement of such economies across different nations. The research results guide countries all over the world to reduce carbon emissions in the process of economic development, protect the earth environment on which human beings depend, and make a better tomorrow for sustainable development.

The Impact of Digital Economy on Industrial Structure Upgrading under the Perspective of Political Economy

Abstract The rapid development of the new generation of digital technology and the increasing importance of the digital economy have brought new opportunities for China’s development and provided new ideas for the optimization of industrial structure as well as the improvement of industrial efficiency. In this paper, under the perspective of political economy, the evaluation index system of the comprehensive development level of the digital economy is constructed with the panel data of 30 Chinese provinces and municipalities from 2014 to 2023 as a sample, and the entropy weighting method is used to calculate the index of development. The rationalization and advanced upgrading of the industrial structure of the 30 provincial and municipal cities is studied by combining the Tel index and the added value of the tertiary/secondary industry. On this basis, the structural equation model was used to explore the role of the “digital economy” on “industrial structure upgrading”. The results of the study are as follows: the development level of China’s digital economy shows a stable growth trend from 2014 to 2023, with its average value increasing by 185.32%, and the average values of the advanced and rationalized levels of China’s industrial structure increasing and decreasing by 4.47% and 47.90%, respectively. The direct effect of the level of development on the improvement of industrial structure (i.e., Path 1) is significant, and the standardized path coefficient between the two is 0.162. The results of the study emphasize the need to comprehensively improve the level of development and to build an intermediary bridge between the digital economy and industrial structure upgrading by taking human capital, scientific and technological innovation, and consumption upgrading as important tools.

Evaluation Index System of High Quality Economic Development Level in Ethnic Regions-Comparative Analysis of Six Adjacent Cities in Yun-nan, Sichuan, and Guizhou Provinces

Building a high-quality economic development evaluation system in ethnic areas can well solve the problems of unbalanced and inadequate high-quality economic development in regions; Method: By analyzing the government data of six adjacent cities in Yunnan, Sichuan, and Guizhou provinces, five primary indicators and 27 secondary indicators covering economic vitality, innovation efficiency, green development, people’s living and social harmony were constructed. By combining obstacle degree, coupling degree, and coupling coordination degree models, the high-quality development situation was empirically measured; As a result, Chuan D is weaker than the other five cities and states in four aspects: economic vitality, innovation efficiency, green development, and people’s livelihood, ranking first; The conclusion is to use it to evaluate and analyze the results of high-quality economic development in the six adjacent cities of Yunnan, Sichuan, and Guizhou provinces, and to revise the basic indicators of the system in order to better guide and guide the practice of high-quality economic development in ethnic areas.

Regional differences, distributional dynamics and convergence of multidimensional food security levels in China.

Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China's food security index was calculated for the ten-year period from 2013 to 2022. Overall, China's food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

Study on the Path and Mechanism of Digital Inclusive Finance on Economic Growth

Over the past four decades of reform and opening up, China's economy has achieved a high average annual growth rate of over 9 per cent, becoming the second largest economy in the world. At the same time, China's financial reform and development has been continuously optimized, and the financial industry has maintained rapid development. With the accelerated integration of new-generation digital technology and inclusive finance, the flourishing development of inclusive finance has added strong momentum to the financial services economy. Based on the relevant research literature on inclusive finance at home and abroad and the characteristics of digital finance, we constructed the evaluation index system of cross-country digital inclusive finance level and the evaluation index system of provincial digital inclusive finance level, and evaluated the development level of digital inclusive finance in 31 provinces (municipalities directly under the central government) in China. On this basis, the impact of digital financial inclusion on economic growth is comprehensively analyzed from two perspectives (temporal and spatial dimensions) and two levels (cross-country and provincial levels), and the empirical evidence is analyzed from the temporal dimension by using traditional econometric analysis methods. The increase in the level of digital inclusive finance in a region has a significant contribution to the region's economic growth, and the mediating effects of credit constraints, entrepreneurship, investment and urban-rural income gap between digital inclusive finance and economic growth are proposed and verified through the decomposition of the direct-indirect effects and heterogeneity of the spatial Durbin model. Policy recommendations are proposed through relevant research results to help China's further economic development.

The impact of digital economy on green total factor productivity considering the labor-technology-pollution factors

The digital economy provides new impetus for the high-quality development of manufacturing industry. Through the DEA-Malmquist model and panel regression model, this paper confirmed that there is a positive and significant relationship between the development of digital economy and the green total factor productivity (GTFP) of manufacturing industry. The research result is as follows: (1) the development of digital economy can enhance the overall GTFP of manufacturing industry. (2) The green technology progress brought by the development of digital economy is the main path to promote the GTFP of manufacturing industry. (3) The heterogeneity analysis shows that the impact of digital economy on GTFP of high pollution manufacturing industry is significantly positive, the impact of labor-intensive manufacturing industry is significantly negative, and the impact of technology intensive manufacturing industry is not obvious. The contributions of this study are as follow. In terms of theory, this study theoretically continues Solow’s classical theory, demonstrating the scientific nature of digital technology progress in promoting GTFP growth. In empirical analysis, this study build a new digital economy development level evaluation index system based on the perspective of manufacturing industry. In addition, this study also add a labor-technology-pollution perspective for the development of relevant policies.

Comprehensive assessment system and spatial difference analysis on development level of green sustainable agriculture based on life cycle and SA-PP model

Consider the whole life cycle process of agricultural green production, a comprehensive evaluation index system of agricultural green development level is constructed by integrating the agricultural cycle development process from input, production to output. It consists 3 subsystems (green input, green production and green product) and 19 indicators. Simulated annealing algorithm was used for projection pursuit optimization. The comprehensive evaluation index system and simulated annealing-projection pursuit model are applied to the comprehensive evaluation of agricultural green development level in 31 provinces of China from 2013 to 2020, and the differences between the eastern, central and western regions are analyzed. The results suggest that: (1) The green production subsystem accounts for the largest proportion in the evaluation index system. (2) From 2013 to 2020, the agricultural greening level in China develops rapidly. In 2013, only Heilongjiang, Jiangsu and Shandong provinces reached a high level of agricultural greening. However, in 2020, there are 14 provinces at the high level of agricultural greening. (3) From 2013 to 2020, there were significant differences between eastern, central and western China, and the differences are still increasing. The order of the green development capacities of agriculture are central > eastern > western, indicating that China's agricultural green development is unbalanced. This study provides scientific decision-making basis for comprehensive evaluation and analysis of agricultural green development level and green agriculture development in China.

Evaluation of the Level of Farmland Infrastructure Based on High-Resolution Images of UAV

The evaluation of the level of farmland infrastructure is a necessary objective condition for the use of arable land and agricultural development. In order to investigate the evaluation index system and method of farmland infrastructure level, this article uses the Kenli District of the Yellow River Delta as the research region. In the study region, six typical observation sample areas are chosen. Each area receives high-resolution UAV photos, which are then used to extract information about the farmland infrastructure of the field. A farming infrastructure evaluation index system was built, consisting of 10 indexes for four aspects, including farmland roads, field plots, ditches, and forest belts, using the 100 m by 100 m grid method to divide the evaluation units. The comprehensive index technique was used to calculate the farmland infrastructure score of each unit and identify the degree of excellent, good, and poor farmland infrastructure. The weight of each indication was decided by the hierarchical analysis method. There were 20 excellent grades, 77 good grades, and 29 poor grades among the 126 evaluation units in the study area, with excellent and good grades accounting for 79.13% and area proportions of 14.29%, 64.84%, and 20.87%, respectively. Among the six sample areas, sample areas E and F had the highest percentages of excellent grades, sample area A had 82.62% of the good grades, and all sample areas except A and C had a percentage of poor grades that was higher than 20%. Regularity of the fields, average size of the fields, and the agricultural plot’s slope are the dominant indexes of farmland infrastructure in each observation sample area, and the indexes of the ratio of the perimeter of roads to the perimeter of fields, density of ditches, and the ratio of area of agricultural forest networks to area of fields need to be optimized and improved. The spatial distribution of each grade differs significantly. The evaluation results are consistent with the real situation in the study region and have positive reference meaning for the development and management of farming infrastructure, according to the study’s proposed evaluation system and methodology.

Evaluation research on the independent controllability of high-end equipment manufacturing industry based on dual incentive control line: an empirical analysis from Jiangsu Province

PurposeIn order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.Design/methodology/approachThrough the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.FindingsIt effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.Originality/valueExisting research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.

Research on evaluation of development level of digital economy based on combination weighting method and improved VIKOR method

The digital economy based on the new generation of information technology has increasingly become an important driving force for economic development, and it is of great practical significance to study the evaluation of the development level of the digital economy. On the basis of summarizing the connotation of the digital economy, the evaluation index system of digital economy development level is firstly constructed from four dimensions of digital infrastructure, digital industry, digital application level and digital innovation ability. Secondly, the combination weighting method of CRITIC-entropy method is used to weight the indicators. Thirdly, the evaluation model of digital economy development level based on grey correlation-VIKOR method is constructed, and the relevant data of 30 provinces in China in 2020 are taken as samples for empirical research. The results show that there is significant regional heterogeneity in the development level of digital economy in China. The development level of digital economy in eastern China is much higher than that in western China. The most important factor affecting the development level of China’s digital economy is the development of software industry. At the same time, digital innovation ability is also an important index to distinguish the development level of digital economy. Finally, corresponding policy suggestions are put forward in response to the problems in the development of China’s digital economy.

Carbon Emission Reduction Effects of the Digital Economy: Mechanisms and Evidence from 282 Cities in China

The digital economy has great potential to boost innovation and social productivity, and it plays an important role in helping to achieve carbon peak and carbon neutrality. This study focuses on analyzing and testing the role of the digital economy in promoting carbon reduction in Chinese cities. Based on panel data of 282 cities in China from 2011 to 2019, this study measured the development level of the digital economy and carbon emission intensity by constructing a digital economy development level evaluation index system and a carbon emission inversion model, respectively. It was found that the digital economy can significantly reduce urban carbon emissions by promoting industrial structure upgrading and green innovation, and the digital economy will have a more obvious promotion effect on urban carbon emission reduction over time. This conclusion was found to be valid after we performed robustness tests such as the instrumental variable method, quasi-experimental analysis, and placebo test. Furthermore, heterogeneity analysis showed that eastern, regenerative, and provincial capital cities are better able to promote carbon emission reduction under the development of the digital economy. This study provides new empirical evidence at the city level for developing the digital economy to reduce urban carbon emissions and acts as a useful reference for developing countries to realize “smart carbon emission reduction”.

Research on performance evaluation of higher vocational education informatization based on data envelopment analysis

<abstract> <p>With the continuous improvement of educational informatization, incorporating the performance evaluation of educational informatization into the overall framework of higher vocational education reform and innovation promotes the objective and practical direction of performance evaluation. This facilitates the transition of higher vocational education from scale-oriented development to intensive development and provides strategic support for method improvement and conceptual renewal in educational informatization.</p> <p>Based on this, we refer to the evaluation index system of information development level in colleges in Henan Province, Zhejiang Province and other regions. We use the entropy method to select performance evaluation indicators with a significant impact on higher vocational colleges. Combining the CCR and BCC models of the DEA method, the article evaluates the educational informatization performance of 82 higher vocational colleges in Henan Province. The informatization evaluation becomes more objective, improves the input-output ratio of informatization and provides directional guidance to avoid redundant construction.</p> <p>There are 46 DEA-effective decision-making units and 36 non-DEA-effective decision-making units among higher vocational colleges in Henan Province. The input-output ratio of the 36 non-DEA-effective higher vocational colleges has yet to reach an appropriate proportion, and further adjustments of input-output resources are needed based on projection values.</p> </abstract>

A preliminary study on the evaluation index system of low carbon city development level

Based on the clarification of the DPSIR model and the development history and specific connotation of low carbon cities, this paper proposes the design basis, design principles and design steps of the low carbon city development level evaluation index system based on the DPSIR model by analysing the application of the DPSIR model in the evaluation of the development level of low carbon cities, and forms the low carbon city development level evaluation index system.

Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis

Green innovation is imperative for the high-quality and sustainable development of the modern logistics industry. It is also key for achieving the goals of peak emissions and carbon neutrality. This study provides a way of thinking about the evaluation of the green innovation level of the logistics industry. The variance inflation factor-variance coefficient method was employed to construct an evaluation index system of the regional logistics green innovation level (RLGIL) from three dimensions. Empirical data were collected from statistical yearbooks covering 30 provinces in China from 2013 to 2017. Thereafter, the combination weighting-based GRA-TOPSIS method was applied to evaluate the RLGIL, and the spatial distribution differences and spatiotemporal evolution characteristics of inter-provincial green innovation levels were analyzed. The RLGILs in the 30 provinces were found to be generally unbalanced, and the differences between the eastern and western regions were significant. Guangdong, Jiangsu, and Zhejiang had stronger RLGILs, whereas most other provinces did not reach the average level. The RLGIL of the 30 provinces had a high positive spatial correlation and spatial aggregating effect. From a national perspective, the values for the RLGIL were generally higher in the eastern and southern regions and lower in the western and northern regions. Although significant differences were found in the RLGIL of these provinces, the overall development trend was stable.

Comprehensive evaluation of distribution network project cost management level based on optimized random forest

AbstractIn this article, by analyzing the content and characteristics of the cost management of the distribution network project, the evaluation index system of the cost management level is formulated first. Gini index in random forest algorithm and analytic hierarchy process are used to analyze the influencing factors of the cost management level of distribution network project from quantitative and qualitative aspects. The results show that design change and on‐site visa management have a great impact on management level, while project advance payment management has a relatively small impact. Based on the above analysis results, this article simplifies the indicators, so as to optimize the random forest model. After verification, the optimized model can improve the efficiency of evaluation, on the other hand, it can effectively improve the accuracy of evaluation, ensure the scientificity of evaluation, and provide reference for improving the cost management of distribution network project.

Development Index System and Dynamic Analysis Framework of Sports Characteristic Towns Based on Intelligently Assisted Portrait Analysis of Camera Images

With the gradual deepening of the reform and opening up in the inland, many sports towns in the northwest have certain development indicators to be assessed every year. Based on the camera image algorithm, this paper intelligently analyzes the development indicator system of sports towns and builds a dynamic framework for portrait analysis. Firstly, the method processes the image information collected by the camera, finds the road edge according to the characteristics of the road information of the sports town, and then analyzes the evaluation index system of the development level of the sports town according to the road edge. The research shows that the evaluation index of the development level of towns with sports as the core feature is inseparable from the comprehensive evaluation index system of the general characteristic towns, but the indicators and dimensions embodied in the characteristics of "sports" .

Study of the spatial divergence features and motivating factors of energy green consumption levels in "2+26" cities.

The level of energy green consumption is an essential factor influencing China's economy's high-quality development. In this paper, we select relevant panel data from 2010 to 2019 for 28 cities in Beijing-Tianjin-Hebei and surrounding areas, and use the DPSIR model and spatial econometric model to analyze the spatial divergence characteristics and driving factors of the energy green consumption index based on the construction of the energy green consumption level evaluation index system and index measurement. The results of this research are as follows: (1) The energy green consumption index has a distribution pattern of "high in the east and low in the west, high in the north, and low in the south," and the driving force (D) and response force (I) are the key factors influencing the spatial variation of the energy green consumption index. (2) The measurement results show that GDP per capita and built-up green coverage have a considerable positive effect on the energy green consumption index, whereas non-domestic energy structure has a significant inhibitory effect. (3) In terms of spatial spillover effects, greening coverage of built-up areas, industrial structure, and domestic energy structure, all have positive effects on neighboring regions' energy green consumption indexes, with positive spatial spillover effects, whereas GDP per capita, urbanization level, and non-domestic energy structure, all have negative spatial spillover effects. In light of the issues at hand, this paper suggests making good efforts to create and put into practice laws and policy norms, cultivate green energy-saving markets, vigorously promote the use and promotion of energy-saving technologies, and lower energy consumption in secondary industry and domestic consumption. The study's findings can help advance the modernization of the region's industrial structure and the growth of a green economy by providing the local government with a reference point for timely policy adjustments.

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

With the emergence of new tourism trends such as popularized and individualized tourism, the traditional development model can no longer meet the development requirements of the new era. Therefore, the construction of tourism informatization is imperative. This work aims to enhance the promotion of tourism resources in Zhejiang Province and explore the effective promotion forms and strategies of tourism resources in Zhejiang network media. The construction of smart tourism city (STC) is taken as the research object. First, the evaluation index system and evaluation model of the construction level of STC are constructed. Besides, an empirical evaluation is conducted with the pilot project of smart tourism city construction determined by the National Tourism Administration as a case. Then, the concept of strength, weakness, opportunity, and threat (SWOT) is used to analyze the advantages, disadvantages, opportunities, and threats of Zhoushan Town’s tourism development. Finally, the model proposed here is tested. The results show that the comprehensive level of STC in 18 cities is quite different. The current average level of STC in China is 0.2791. Except for the support level of smart tourism environment that is lower than Suzhou, the rest levels of Beijing are in the first place, and the comprehensive level of STC construction is in the first place. The comprehensive level of STC construction in Suzhou ranks second, with an average level of 0.1521. Nevertheless, there is a big gap between Suzhou with Beijing. The overall evaluation satisfaction of Zhoushan Town’s tourism is in a moderate state. The analysis results of the SWOT intelligent model demonstrate that Zhoushan Town tourism should choose a growth marketing strategy. The research reported here provides a particular reference for realizing the seamless connection between the intelligent cultural tourism industry and consumers.