Comprehensive Evaluation Index Research Articles

Research on the Efficiency of Service-Oriented Manufacturing in Beijing-Tianjin-Hebei under Digitalization

Against the backdrop of the new generation of information technology and the development trend of manufacturing servitization, this paper constructs comprehensive evaluation indicators for the level of digital development and the development level of productive service industries in the Beijing-Tianjin-Hebei region based on the entropy weight method. It also conducts a descriptive analysis of the digital development level in the Beijing-Tianjin-Hebei region. Further, by constructing a moderating effect model, this paper explores the influence mechanism of the digitalization level of the manufacturing industry on improving the efficiency of the manufacturing industry under the service-oriented manufacturing model in the Beijing-Tianjin-Hebei region. The research results show that service-oriented manufacturing can improve manufacturing efficiency, while the regional digitalization level plays a positive moderating role in this process.

Investigation of the Coupling and Coordination Relationship of Water–Energy–Food–Ecology and the Driving Mechanism in Dalad Banner

Aiming at the complex problems of water resources, energy, food, and ecology in ten parallel tributaries directly joining the Yellow River in Ordos City, Inner Mongolia Autonomous Region (the Ten Kongduis), the coordination of the water–energy–food–ecology (WEFE) system in Dalad Banner and its townships was studied from the perspective of system coupling in time and space. First, the evaluation index system of WEFE coupling coordination is constructed, and then the coupling coordination degree model, grey relationship degree model, and geographical detector are used to quantitatively evaluate the development level and spatio-temporal evolution characteristics of WEFE coordination in Dalad Banner and its townships and explore its driving mechanism. The results suggest that (1) the WEFE comprehensive evaluation index of Dalad Banner and its townships showed a slowly rising trend on the whole. The growth trends for the WEFE subsystems and integrated assessment are 0.65%, 21.02%, 17.01%, 1.17%, and 9.96%, respectively. This shows that the energy subsystem occupies the main position. (2) The coupling degree of WEFE in Dalad Banner and its townships is high; the mean value is 0.967, which is in the high-level coupling stage. But the coordination degree is low; the mean value is 0.668, which is in the elementary coordination stage. The spatial development is unbalanced and uncoordinated in Dalad Banner; this phenomenon mainly exists in the eastern part of Dalad Banner, with a gradual change from the west to the center of the area with higher harmonization. (3) The coordination of the WEFE system of Dalad Banner and its townships shows a good trend. The average coupling coordination degree in Wangaizhao town has the largest increasing trend, which is 12.69%. Fengshuiliang Town has the smallest growth trend, which is −10.37%. The region is gradually developing to the stage of well coordination, and each township has basically entered the middle-rank coordination stage. (4) In general, in the degree of system impact, the ecological impact is the largest and the grain is the weakest. In terms of spatial differences, energy has the greatest impact, while water has the least explanatory power. In terms of interaction, the interaction among water resources, grain, and ecology has the greatest explanatory power. The influence of WEFE in Dalad Banner coupling coordination changes obviously with time, and the driving mechanism and stability are relatively weak. The results of this study can provide a decision basis for the coordinated development of WEFE and the high-quality and sustainable development of Dalad Banner and its townships.

Changes in the soil microenvironment during ecological restoration of forest parks in megacities

Forest parks in megacities are pivotal in boosting biodiversity, purifying air, and offering essential green areas for community leisure and mental health amidst the hustle and bustle of cities. Yet, these vital oases encounter severe difficulties, including habitat degradation, contamination, and urbanization pressures, jeopardizing their preservation and the crucial ecological advantages they offer. The soil’s characteristics and its microbial inhabitants are fundamental in the cycling of nutrients and the well-being of plants, positioning them as central elements in restoration efforts. Nonetheless, the complex interplay among plant, soil, and microbial relationships during the restoration of forest ecosystems in megacities is still not well comprehended. This study aimed to investigate the interactions between plant-soil-microbial dynamics in different ecological restoration modes and construct assessment systems to evaluate the quality of restoration modes in the forest parks. The study identified a total of 25 distinct types of forests damaged by three main factors (farmland, highway, and quarrying) in Chongqing Taisiya Forest Park, and found that long-term natural restoration significantly increased soil properties in these forests. Additionally, an in-depth microbial sequencing analysis showed that Proteobacteria and Ascomycota were the major bacterial and fungal phyla dominant in the restoration process in the urban forests. Further correlation analysis showed that soil microbial diversity positively correlated with plant diversity, with a stronger correlation observed for bacterial communities compared to fungi. The comprehensive evaluation index results for the different forest types revealed varying degrees of restoration success. Collectively, our findings underscore the importance of forest attributes and soil microbial diversity in forest ecosystem restoration and provide valuable insights for designing effective restoration strategies in similar ecosystems.

Optimizing interleaved distributed streamline obstacle flow channels through genetic algorithm coupled with backpropagation neural network regression predictive surrogate model

The design of the proton exchange membrane fuel cell (PEMFC) channel has a significant impact on mass transfer and chemical reactions. In this study, an innovative channel design with streamlined obstacles arranged in an interleaved manner is proposed to achieve optimal performance for PEMFC. The design utilizes genetic algorithm optimization (GA) combined with backpropagation (BP) neural network as a predictive regression proxy model. The input variables include the radius, semi-axis, width, and average interleaved distribution interval of the streamlined obstacle, while the output variables are current density and cathode pressure drop. This approach aims to achieve the optimal design prediction of streamlined obstacle structures. The dataset is obtained from a three-dimensional two-phase model of PEMFC established in the COMSOL software. The results indicate that the GA-BP neural network regression predictive proxy model aligns well with the physical model and demonstrates high prediction speed and accuracy. The training time is approximately 15 min, and the prediction time is less than 3 s. The determination coefficients for current density and cathode pressure drop are 0.99977 and 0.99999, respectively. The physical model and proxy model are validated using an orthogonal table design of input variables. Additionally, using net output power as a comprehensive evaluation index, 9,720,000 operating conditions are predicted. The optimal geometric parameters for the streamlined obstacles are determined as follows: a radius (R) of 0.41 mm, a semi-axis (L) of 0.2 mm, a width (W) of 0.94 mm, and an average interleaved distribution interval (D) of 0 mm. These dimensions are validated in the physical model at an operating voltage of 0.4 V, resulting in a current density of 1.5901 A/cm2 and a pressure drop of 502 Pa, with relative errors of 0.18 % and 4.38 %, respectively, compared to predictions. The optimized channel, when compared to the basic straight channel, shows an increase of 3.25 % in current density and a 3.16 % increase in net power.

Maximizing food equivalent unit yield for forage maize production without notably compromising dry matter yield and feed quality in a semi-arid region

Food equivalent unit (FEU) is a vector used to measure the value of food based on its calorie and protein content and their digestibility. However, the optimal planting density and N application rate for maximizing the FEU yield (FEUY) of forage maize (Zea mays L.) is still poorly understood in the fast-growing animal husbandry regions of the Chinese Loess Plateau. Here, a 2-year consecutive field experiment was conducted to explore the impacts of planting density, N application rate, and their interactions on growth, dry matter yield (DMY), forage quality, and FEUY of a dominant forage maize cultivar. Planting density significantly affected the stem diameter, LAI, DMY, and dry matter allocation (DMA) of the leaf. Initially, increasing the N rate increased the stem diameter, LAI, FEUY, and DMY of forage maize and then decreased. The stem diameter, LAI, FEUY and above-ground DMY peaked under 180 kg∙ha−1 N in both years. Moreover, N application significantly increased the crude protein content of the whole plant and decreased the acid detergent fiber content. The surface fittings of the 2-year study indicated that 110,000 plants∙ha−1 (plant density) and 171.2 kg∙ha−1 (N rate) obtained the greatest DMY (19.0 t∙ha−1). The grade index (a comprehensive evaluation index for forage quality) peaked at 15.4 MJ∙d−1 under 94,000 plants ha−1 and 270 kg∙ha−1. The 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate jointly maximized the FEUY (11,125.4 FEU∙ha−1), maintaining 99.9 % of the maximum DMY and 97.5 % of the maximum grade index. Thus, 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate are recommended for high-productivity forage maize production, without notably compromising dry matter yield and feed quality. This research is conducive to advancing the coordinated development of forage crop cultivation and herbivorous livestock farming in semi-arid rainfed areas.

Research on the impact of technology finance on the manufacturing industry in the Yangtze River Delta region

A comprehensive evaluation index system for the integrated advancement of finance in science and technology, alongside the manufacturing sector, has been established. Furthermore, the entropy weight approach has been employed to assess both the development indicators of technology-driven finance and the integration metrics of the manufacturing industry across the three provinces and one municipality within the Yangtze River Delta region from 2012 to 2021. This study employs the fixed effects model to analyze the influence of science and technology financing on the integrated development of the manufacturing industry in this region, and it further examines the role of production costs and innovation capabilities in the relationship between technology financing and manufacturing integration. Research has shown that science and technology finance significantly enhances the integrated development of the manufacturing industry in the Yangtze River Delta, with production costs and innovation capabilities acting as intermediary factors. However, in the high-level areas of manufacturing integration development, the mediating effect of production cost and innovation ability is not significant.

Comprehensive evaluation method based on objective and subjective factors: A case of printed circuit board resin waste treatment technologies in China

Given the significant diversity in printed circuit board (PCB) resin waste compositions, selecting the most suitable treatment technology is urgent. This study proposes a comprehensive evaluation index system integrating resource and energy use, environmental impact, and cost-benefit analysis. The method enhances the accuracy of subjective weight determination and matrix calculation while reducing the impact of subjective bias. Three treatment technologies are examined: incineration, composite manufacturing, and pyrolysis. Pyrolysis consumes fewer resources and less energy, with minimal environmental impact, scoring above 0.2156 for resource and energy use and above 0.2588 for environmental impact. Composite manufacturing yields superior economic benefits, the score is above 0.3219. Incineration's comprehensive evaluation results are notably lower across various copper content levels. Manufacturing composites is optimal below 16 % copper content, while pyrolysis is preferred above. The case study fully demonstrates the method's reliability and advantages, contributing to recommended technological choices for waste management.

Exploring Differences and Evolution of Coordination Level of the Industrial Structure, Economy and Ecological Environment Complex System in Beijing–Tianjin–Hebei Urban Agglomeration

Industrial structure (IS), economy (EC), and ecological environment (EE) could influence each other and constitute a complex system (IS-EC-EE). This study is to explore the differences and evolution of the coordination level of the IS-EC-EE complex system of 13 cities in the Beijing–Tianjin–Hebei (BTH) urban agglomeration by coupling coordination degree model, Markov chain, GM (1,1) model, Dagum Gini coefficient, and Kernel density estimation method to provide a reference for regional sustainable development. The results show that the comprehensive evaluation index of IS, EC, and EE had significant differences among the 13 cities in the BTH region. The IS-EC-EE system of the whole BTH region was in a highly coupled and low-coordinated development state. And the coordination degrees of the 13 cities in the BTH region had spatial differences, which were mainly due to inter-regional differences, and the differences became larger. Furthermore, the coordinated development of the 13 cities had the probability of keeping high, moderate, and low coordination. It was predicted that the coordination degree of the IS-EC-EE system in the whole BTH region in 2020–2030 was roughly similar to the trend in 2009–2019. The coordination levels of Beijing and Tianjin were higher than in Hebei Province, so optimizations need to be considered for regional overall sustainable development.

Analysis of the coupling coordination between traditional Chinese medicine medical services and economy and its influencing factors in China.

The coordinative relationship between medical treatment and the economy is an important part of promoting the sustainable and healthy development of a social economy, and it is conducive to promoting the coordinated development of the two systems. Based on constructing a comprehensive evaluation index system for the relationship between traditional Chinese medicine medical services and economic development, the entropy method, coupling coordination model, and Tobit model are used to calculate the comprehensive development level, coupling coordination degree, and influencing factors of the two systems in 31 provinces of China from 2015 to 2021. Suggestions are proposed for the coordinated development of traditional Chinese medicine medical services, and economy. The results showed that the development level of traditional Chinese medicine was higher than that of social and economic development, the relative development gap between the two systems was gradually narrowed, and the coupling coordination degree increased steadily; however, the regional differences were large. The relative development level and coupling coordination degree of each region show a development pattern of eastern > central > western > northeast; the coupling coordination degree of the two systems in the spatial region was positively correlated and was enhanced year by year. From the perspective of influencing factors, the level of economic development is the decisive factor in the coupling and coordination between traditional Chinese medicine medical treatment and the social economy. Factors such as human capital and health level in traditional Chinese medicine have an inhibitory effect on the coordinated development of the two systems. So, China should focus on optimizing the regional allocation of traditional Chinese medicine medical personnel, improving the quality of medical services, and enhancing the health level of medical personnel.

A comparison of three modification methods for polyvinylidene fluoride membrane grafting

Abstract UV-induced covalent bonding, UV-benzophenone (BP) embedding, and ozone-activated grafting methods were respectively used to graft 2-acrylamido-2-methyl-1-propanesulfonic acid (AMPS) on polyvinylidene fluoride (PVDF) hollow fiber membrane surfaces via orthogonal test. The rejection rate, permeating flux, and pure water flux were chosen as comprehensive evaluation indexes to optimize the modification conditions. The optimal experimental conditions for UV-induced covalent bonding, UV-BP embedding, and ozone-activated grafting methods were obtained. Subsequently, three membranes were prepared by these three methods under their optimal modification conditions to compare their properties. The PVDF-g-AMPS-2 membrane obtained by the UV-BP embedding method exhibited the highest hydrophilicity and lipophobicity, and its water and underwater oil contact angles were respectively 66.0° and 146.6°. Besides, The PVDF-g-AMPS-2 membrane can resist the adhesion of oil with the underwater oil adhesion force of zero. What’s more, the PVDF-g-AMPS-2 membrane possessed the largest pure water flux (544.5 L/(m2·h·bar)), permeation flux (66.5 L/(m2·h·bar)), and recovered flux (205.7 L/(m2·h·bar)). By comparison, UV-BP embedding with simpler procedures can fabricate the AMPS modified PVDF membrane with superior performance, which has better application prospects in industrial scale-up production.

Evaluation and impact factors of international competitiveness of China’s cobalt industry from the perspective of trade networks

In recent years, with the development of the new energy industry, the demand for cobalt as a raw material for power batteries has been increasing. However, China itself has a shortage of cobalt resources. Therefore, overcoming poor resource conditions and enhancing the international competitiveness of the cobalt industry have become urgent issues. This paper is based on global trade data on cobalt resources from 2007 to 2020. A panel regression model is constructed from the perspective of trade networks, and Entropy-Topsis is used to construct a comprehensive evaluation index system for the international competitiveness of critical nonferrous metals. This study empirically examines the impact of the trade network characteristics of cobalt resources on international competitiveness, assigns practical significance to trade network characteristic indicators, and analyses the overall competitiveness changes in the global cobalt industry chain and its upstream, midstream, and downstream sectors. The research findings reveal the following key points: (1) In recent years, the competitive focus of the cobalt industry chain in various countries has shifted from upstream and midstream to midstream and downstream, with increasingly fierce trade competition downstream, gradually tilting toward countries such as South Korea, Japan, and China. (2) Cobalt trade competition, which was initially characterized by competition among multiple countries, has gradually become more centralized and stable, with differences in the competitiveness of various countries occurring at different stages of the cobalt industry chain. (3) Network centrality and network heterogeneity both have a significant promoting effect on the international competitiveness of the industry, while network connectivity has a significant inhibitory effect on the improvement of international competitiveness.On this basis, the study also suggests some policy implications. The purpose of the study is to enhance the international competitiveness of China's cobalt industry from a trade perspective and to investigate the developments of cobalt trade between China and the rest of the world.

Spatial and Temporal Distribution and Flow Characteristics of High-Quality Development of Modern Service Industry in Chinese Sub-provincial Cities

Based on the new development concept of the service industry, this paper constructs a comprehensive evaluation index system for the high-quality development of modern service industry from a total of 22 indicators in four dimensions, namely, development efficiency, structural optimization, innovation agglomeration and industrial scale. The composite index of 15 sub-provincial cities in China from 2013 to 2022 was measured by entropy weight method, describing the current development status and development differences of each city, and with the help of Kernel density estimation method and Dagum Gini coefficient method, the law of inter-city evolution was inscribed, which revealed the spatial differences of the four major geographic regions and their sources and contributions. The study shows that the overall high-quality development of the service industry in the 15 cities is at a relatively low level, with obvious differences, but all of them are on a slowly rising trend. According to the division of the four major geographic regions, the northeast region has the largest intra-regional differences, and the eastern region has the smallest intra-regional differences. Meanwhile, the spatial imbalance between regions is still aggravating, and there is a clear differentiation between the development level of the eastern and western regions.

Analysis of the spatiotemporal dynamics and driving factors of ecosystem quality in Inner Mongolia from 2005 to 2020

Enhancing ecosystem quality is a necessary part of establishing of ecological civilization. The study of ecosystem quality requires the development of comprehensive evaluation indices. The existing simple remote sensing ecological indices are insufficient for achieving a comprehensive and systematic evaluation of the ecosystem quality. Therefore, we constructed an ecosystem quality index based on the landscape pattern, ecosystem stability, and ecosystem services. The spatiotemporal dynamics of the ecosystem quality in Inner Mongolia were analyzed over the period from 2005 to 2020. Moreover, a geographically weighted regression model was used to investigate the factors influencing the spatiotemporal variations in the ecosystem quality. The main results are as follows. (1) The spatial distribution of ecosystem quality in Inner Mongolia exhibited a gradual decline from the northeast to the southwest. In contrast, temporal analysis revealed a general increase in ecosystem quality from 2005 to 2020. (2) Climate was a significant factor influencing the spatial heterogeneity and temporal variability of the ecosystem quality. Socioeconomic factors, population density and livestock numbers had notable impacts on the spatial heterogeneity and temporal variability of ecosystem quality, respectively. (3) In Inner Mongolia, temperature and ecosystem quality showed a positive correlation in the northeastern region, but a negative correlation in the central and western regions. The findings offer valuable support for local policymakers in making informed decisions regarding targeted ecosystem management. Furthermore, our results provide local governments with valuable insights for enhancing the quality of regional ecosystems by taking into account the specific conditions of the area.

Systemic Risk Analysis of Safety, Progress, and Investment in the Construction of a Water Transfer Project and the Importance of Common Cause Failure

Safety, progress, and investment risks are correlated during the construction period of large-scale water transfer projects. However, previous studies have only considered individual risk factors, overlooking the potential systemic risk posed to safety, progress, and investment, as well as any underlying common cause failures. Since traditional risk analysis methods are ill-suited to addressing common cause failure, this paper’s objective was to establish a comprehensive evaluation index framework and to identify the basic events of common cause failure. To do that, we developed a risk analysis method that models common cause failure based on a Bayesian network for assessing that systemic risk. The Henan Section of the Yangtze-to-Huaihe River Water Diversion Project in China was then used as a case study. The results show that a variety of common cause failure events, such as epidemic disease, design alteration, lagged approval process, heavy rain in the flood season, renewal material and failing equipment, construction accidents, and external interference, can significantly impact the safety, progress, and investment systemic risk. Design alteration poses the greatest risk, with renewal material and failing equipment exerting the strongest influence among all common cause failure events. It is also possible to elucidate the predominant causal chains; specifically, the contributing influence of each basic failure event to the systemic risk can be clarified by adjusting their respective initial state. The failure of renewal material and failing equipment was found to significantly increase the safety risk. This study effectively simulated the complex causal relationships and uncertainties of pertinent risk factors, thereby enhancing our understanding of the systemic risk associated with safety, progress, and investment in large-scale water transfer projects.

Neural network analysis of mechanization's impact on coal miner's occupational health

In order to clarify the transmission mechanism of the impact of mechanization on the occupational health of miners and to provide empirical evidence for the development of new quality productivity in the coal industry that balances health and efficiency. In August 2022, we selected a typical coal mine, constructed a comprehensive evaluation index of miners' occupational health through a questionnaire survey based on the fully connected neural network model. A Bayesian model was used to verify the influence of mechanization level on miners' occupational health. We found that: the predicted probability of occupational diseases could be used as a comprehensive indicator of the level of occupational health, providing a basis for early intervention and prevention of occupational diseases. Mechanization could directly promote the improvement of miners' occupational health level, and also indirectly affect occupational health level by influencing hazards level and work intensity. The indirect effect of mechanization on work intensity was positive, and the indirect effect of mechanization on hazards level was positive. Presented the "inverted U-shaped" process in the mechanization breakthrough semi-mechanized level would realize the economies of scale of health protection, its impact on the prevention and control of occupational hazards would turn from negative to positive.

Functional-Combination-Based Comprehensive Benefit Evaluation of Energy Storage Projects under Source-Grid-Load Scenarios via Super-Efficiency DEA

As an important support for power systems with high penetration of sustainable energy, the energy storage system (ESS) has changed the traditional model of simultaneous implementation of electricity production and consumption. Its installed capacity under the source-grid-load scenario is rising year by year, contributing to sustainable development, but it faces the problems of insufficient utilization and benefits. This study analyzes the functional combination of ESS under source-grid-load scenarios. A comprehensive benefit evaluation method of energy storage projects (ESPs), based on a fuzzy decision-making trial and evaluation laboratory (DEMATEL) and super-efficiency data envelopment analysis (DEA), is proposed. Firstly, the functional requirements of energy storage in source-grid-load scenarios are explored, and the characteristics of various functions are analyzed to form eight functional combination schemes. Secondly, index modeling is carried out from three aspects—the whole life cycle cost, functional combination benefits, and social and environmental benefits—and a comprehensive benefit evaluation index system of ESP is proposed. Then, the intuitionistic trapezoidal fuzzy number (ITFN) is combined with DEMATEL to form an effective analysis method for the input–output relationship of the indices, and the comprehensive evaluation is realized based on the SE-DEA model. Compared with other methods, this model can ensure the objectivity and stability of the evaluation results in ESP evaluation. Finally, the effectiveness of the proposed evaluation method and the rationality of the functional combination are verified under source-grid-load scenarios. The calculation results show that in the application scenario of source-grid-load, after adopting the functional combination scheme formulated in this article, the comprehensive investment benefits of ESPs have been improved. Moreover, the source side effect is at its best, with an efficiency value of 2.209.

Land scale division and multifunctional evaluation for Fuping County, China, based on DEM-based watershed analysis.

Land is the spatial background and basic carrier of human survival and development. The study of land function evaluation at different scales can promote the harmonious coexistence of humans and nature. Taking Fuping County, Hebei Province, China, as an example, this study establishes the theoretical framework of county-level land scale division using a digital elevation model (DEM)-based watershed analysis method and establishes the theory and methodological system of land function evaluation from the perspective of the characteristic scale. The multifunctionality of the land was evaluated using the Carnegie-Ames-Stanford approach (CASA), the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model and comprehensive index evaluation. By using the methods of DEM-based watershed analysis, dominant factor differentiation and layer superposition, a three-level scale system of 'subwatershed scale-land chain scale-land segment scale' and a multifunctional multiscale evaluation index system containing 18 evaluation indices were established. The single-function and multifunction evaluation results of land at different scales were obtained by the comprehensive index method and Getis-Ord Gi* index method. The accuracy of land function evaluation results mainly depends on the selection of the measurement scale. The land measurement scale determined by DEM-based watershed analysis is close to the intrinsic scale of land function evaluation. The scale effect of land function in different temporal and spatial ranges is also evident and shows obvious spatial heterogeneity and difference. At larger scales, individual functions show synergistic effects.

International comparison of China's digitalization level and its enlightenment.

The global digital wave has flourished in recent years, and the digital technology revolution has emerged. Digitalization plays an undeniable role in promoting modern economic and social development in multiple aspects such as economy, society, innovation, public services and sustainable development, China's digitalization application is also developing rapidly. In order to better measure the current situation of China's digitalization development level, this paper constructs a comprehensive evaluation index system of digitalization development from four dimensions of talents in the digital field, digital infrastructure construction, digitalization innovation ability and international competitiveness, and tests the index system. The entropy method is used to measure the level of digitalization development between China and the United States, the United Kingdom, France and other major developed countries in the world, and the coefficient of variation method, kernel density estimation and Dagum Gini coefficient method are used to analyze the temporal and spatial characteristics and regional differences of digitalization development level of seven countries. This paper makes a comparative analysis between China and major developed countries from the historical perspective of the evolution of the techno-economic paradigm. With a view to summarizing and exploring from it and drawing on the advanced experiences accumulated by the developed countries over a long period of time, so as to provide China with useful insights and bases for further enhancing its digitalization development level.

Comprehensive evaluation of digital village development in the context of rural revitalization: A case study from Jiangxi Province of China.

Digital rural construction is a key strategic direction to promote China's rural revitalization and alleviate global climate problems. In order to put forward feasible suggestions for the subsequent development and ensure the smooth development of digital village construction, how to reflect the development level of the digital village through scientific and reasonable comprehensive evaluation has become an urgent problem to be solved. This paper establishes a comprehensive evaluation index system through the Delphi method and principal component analysis method, then assigns weights to the evaluation indicators based on the improved CRITIC-G1 method, and then grades the development level of digital villages according to the extension matter element method. Finally, taking Jiangxi Province in China as an example, the overall development level of digital villages in Jiangxi Province is evaluated from the provincial level according to the proposed method. And put forward the corresponding countermeasures and suggestions. Results: Firstly, the development level of digital villages in Jiangxi Province is good, and there is a trend of excellent development level. Secondly, from different aspects of digital rural development, the digitalization of infrastructure, services, economy, and green production in Jiangxi Province is at a good level, and the digitalization of life has reached an excellent level. Thirdly, from the perspective of development trends, the digitization of infrastructure has a progressive trend towards an excellent level of development, while the digitization of services, economy and green production has signs of development regression. According to the analysis results, the relevant countermeasures and suggestions are put forward from four aspects: talent, capital, governance system and development planning. Other regions can evaluate the development level of the digital village according to the evaluation model proposed in this paper so as to analyze the existing problems and put forward targeted solutions to promote the construction of the digital village.

Study on the Coupling Development of Xi 'an Tourism Economy and Transportation

Taking Xi 'an City as the research object and taking 2015-2021 as the time dimension, this paper constructs an evaluation system for the development level of tourism economy and transportation. On this basis, the coupled coordination model is used to analyze the spatial and temporal characteristics of the coupled and coordinated development of tourism economy system and transportation system. The results show that both the comprehensive evaluation index and the coupling coordination degree of Xi 'an city increased year by year from 2015 to 2019, and the interaction between them became stronger and stronger. The relative development index in 2020 is less than 0.9, indicating that transport has insufficient support for tourism economic development, and it is less than 0.6 in 2015 and 2016, indicating that transport has not fully played its role in tourism economic development.