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  Subjects -> CONSERVATION (Total: 128 journals)
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International Journal of Sustainable Development
Journal Prestige (SJR): 0.2
Number of Followers: 17  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0960-1406 - ISSN (Online) 1741-5268
Published by Inderscience Publishers Homepage  [439 journals]
  • An identification method of digital economy security risk dimension based
           on Bayesian network

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      Authors: Rong Xia, Xueqin Ni
      Pages: 1 - 15
      Abstract: In order to improve the recall rate and accuracy rate of digital economy security risk identification and reduce the identification time, this paper proposes a Bayesian network based risk dimension identification method for digital economy security. Firstly, the principle of establishing an evaluation indicator system is to screen risk indicators through the boundary value method to obtain a risk indicator system; then, K-means clustering is used to classify the risk levels and construct a risk identification function; finally, Bayesian network learning is used to solve the identification function and achieve the identification of security risk dimensions. The results show that the recall rate under this method is always higher than 98%, the accuracy of risk dimension identification is always higher than 93%, and the time required for risk dimension identification does not exceed 5.0 seconds, indicating that this method can effectively improve the effectiveness of risk dimension identification.
      Keywords: Bayesian network; Bayesian network learning; boundary value method; identification function
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 1 - 15
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136612
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Internal control system of enterprise financial risk under the condition
           of diversified operation

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      Authors: Yuehong Weng, Yang Li, Weifang Chen
      Pages: 16 - 29
      Abstract: Under the conditions of diversified operation, enterprises face more complex and diversified financial risks. Therefore, it is proposed to conduct research on the internal control system of corporate financial risks under diversified business conditions. Diversified management includes the characteristics of product diversification, geographical diversification, channel diversification, brand diversification, and technological diversification. The financial risks of enterprises under diversified business conditions mainly include capital flow risk, debt risk, operational risk, foreign exchange risk, and market risk. To address the existing financial risks, establish an internal control system for corporate financial risks from multiple perspectives. The results indicate that the financial risk internal control system studied can classify the financial risk levels of enterprises based on market risk, credit risk, and liquidity risk; establishing a comprehensive internal financial risk control system has improved the effectiveness of financial risk internal control.
      Keywords: diversified operations; corporate financial risks; internal control system; debt risk
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 16 - 29
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136613
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Study on innovation and sustainable development of digital education in
           universities under the background of the new era

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      Authors: Yanping Sun, Wei Zhao
      Pages: 30 - 44
      Abstract: To effectively promote innovation and sustainable development of digital education in universities, corresponding strategies for innovation in digital education in universities have been proposed. This paper analyses the influencing factors of digital education innovation in colleges and universities, and puts forward the corresponding countermeasures for digital education innovation in colleges and universities. Empirical analysis shows that the proposed innovation strategy has a high degree of sustainable development balance, indicating that after educational innovation, the sustainable development of education has not been disrupted. And the promotion of sustainable development in education exceeds 0.7. Therefore, adopting the innovative strategies proposed in this article can effectively promote the sustainable development of education.
      Keywords: background of the new era; digital education; innovation; sustainable development; degree of balance; promotional effect
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 30 - 44
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136610
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Evaluation method for adaptability of expressway toll stations based on
           fuzzy logic

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      Authors: Zengli Fang, Yali Liang, Fang Wang, Gaoling Li, Shuai Di
      Pages: 45 - 63
      Abstract: Evaluating the adaptability of highway toll stations can optimise road traffic flow and improve traffic service quality. Therefore, this article proposes a fuzzy logic-based evaluation method for the adaptability of highway toll stations. Firstly, establish an evaluation system for the adaptability of highway toll stations, divide the adaptability standards of toll stations, and obtain the final evaluation indicators through correlation analysis method. Then, the grey correlation analysis method is used to determine the degree of correlation of the development trend of the grey process, determine the weights, and calculate the grey correlation coefficient; finally, the combination weight of indicators is determined using fuzzy logic to obtain the final fitness evaluation certainty, achieving evaluation. The results indicate that the method proposed in this paper improves the evaluation effect of adaptability of highway toll stations, with a maximum accuracy of 0.99.
      Keywords: grey correlation coefficient; fuzzy logic; factor analysis method; degree of correlation; information overlap test
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 45 - 63
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136611
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Opportunities and challenges faced by employment management from the
           perspective of sustainable development

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      Authors: Jingjie Wang, Xiuhong Qin, Yan Ren
      Pages: 64 - 77
      Abstract: Social employment opportunities are increasing from the perspective of sustainable development, but employment conditions are more detailed and strict. Therefore, this article studies the opportunities and challenges faced by employment management from the perspective of sustainable development. The relationship between sustainable development and employment is analysed to determine the significance of employment management research from the perspective of sustainable development. By analysing the employment trends of different groups of people and analysing the current situation of employment management, it is determined that the opportunities faced by employment management from the perspective of sustainable development include industrial restructuring, increased entrepreneurial employment opportunities, and a more flexible employment situation. The challenges faced include the gradual increase in technical unemployment, weak awareness of public services, and lagging construction of public service platforms for employment, achieving an analysis of the opportunities and challenges faced by employment management.
      Keywords: perspective of sustainable development; employment management; opportunities and challenges employment trends; current situation of employment management; flexible employment
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 64 - 77
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136614
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Research on evaluation of legal risk prevention education quality based on
           dynamic variable weight analytic hierarchy process

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      Authors: Jingjie Wang, Xiuhong Qin, Yan Ren
      Pages: 78 - 92
      Abstract: In order to solve the problems of low reliability and accuracy in traditional methods, as well as long evaluation time, this article proposes a legal risk prevention education quality evaluation method based on dynamic variable weight analytic hierarchy process. Firstly, design a legal risk prevention education indicator system, which includes multiple indicators such as the legal risk prevention process and legal risk prevention education channels. Use analytic hierarchy process to calculate the weights of the indicators; then, the variable weight theory is used to dynamically modify the indicator weights. Finally, combining the evaluation index weight, evaluation matrix, and dynamic variable weight analytic hierarchy process to construct an education quality evaluation function, relevant evaluation results are obtained. Experimental results show that the highest evaluation reliability of the method proposed in this paper is 0.986, the highest estimation accuracy is 99.6%, and the maximum time consumption is 23 s, which can be achieved.
      Keywords: dynamic variable weight; analytic hierarchy process; legal risk prevention education quality; variable weight theory; evaluation matrix; evaluation function
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 78 - 92
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136615
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Empirical analysis of regional technological innovation efficiency under
           the background of talent sharing based on SAF model

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      Authors: Wei Ji, Biaoxin Chen, Hanying Gan, Xiaoci Zhang
      Pages: 93 - 108
      Abstract: Regional technological innovation is an important driving force for promoting rapid economic growth. Therefore, this article proposes an empirical study on the efficiency of regional technological innovation in the context of talent sharing based on the SAF model. Taking the Guangdong Hong Kong Macao Greater Bay Area as the research object, determine the evolution process of regional technological innovation in the Greater Bay Area, set principles for selecting efficiency measurement data, select regional technological innovation input and output data from five key cities in the past 20 years, design a regional technological innovation efficiency analysis model based on the SAF model, and empirically verify the technological innovation efficiency of the Greater Bay Area. The empirical results indicate that the innovation efficiency of the Greater Bay Area region is relatively good, with Shenzhen and Hong Kong increasing their technological innovation efficiency to 1.00 and 0.93 respectively.
      Keywords: SAF model; talent sharing background; regional technological innovation efficiency; Empirical analysis; Guangdong Hong Kong Macao Greater Bay Area
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 93 - 108
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136616
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Evaluation of the sustainable development of college students' English
           autonomous learning ability in a mobile learning environment

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      Authors: Wei Ji, Biaoxin Chen, Hanying Gan, Xiaoci Zhang
      Pages: 109 - 122
      Abstract: Assessing the sustainable development of college students' autonomous learning ability can help to understand their comprehensive learning ability. However, existing evaluation methods have problems such as time-consuming data mining, low evaluation accuracy, and poor student performance. Therefore, an evaluation method for the sustainable development of college students' autonomous learning ability in English in a mobile learning environment is proposed. Firstly, construct an evaluation index system for the sustainable development of college students' autonomous English learning ability. Secondly, the evaluation index data is mined using a distributed mining framework. Finally, the sustainable development level of college students' autonomous English learning ability is determined by determining the calibrated clustering weight, grey clustering weight, and grey vector. The experimental results show that the maximum data mining time of this method is 0.9 seconds, the evaluation accuracy varies between 94% and 97%, and the average English learning achievement of students is 86.4.
      Keywords: mobile learning environment; college students' English; autonomous learning ability; evaluation of the sustainable development; grey clustering weight
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 109 - 122
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136617
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Research on the construction and application of mobile e-commerce
           enterprise development potential evaluation indicator system

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      Authors: Wei Ji, Biaoxin Chen, Hanying Gan, Xiaoci Zhang
      Pages: 123 - 140
      Abstract: In order to solve the problems of low correlation coefficient and large evaluation error in the development potential evaluation index system of mobile e-commerce enterprises, the construction and application of the development potential evaluation index system of mobile e-commerce enterprises are studied. Firstly, the characteristics of enterprise development potential are analysed. Secondly, the evaluation index system is constructed according to the influence of influencing factors and development potential. Then, the index is preprocessed by FCM clustering algorithm. Finally, single-level fuzzy and multilevel fuzzy evaluation methods are introduced to determine the index criticality, divide the factor set theory domain, and construct the evaluation model. The experimental results show that the correlation coefficient of the proposed method is 0.98, the index noise is 1.10 dB, and the evaluation error is less than 0.5%. The proposed method improves the evaluation effect.
      Keywords: mobile e-commerce; enterprise development potential; evaluation index system; construction and application; FCM clustering
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 123 - 140
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136618
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Performance evaluation method of legal aid system reform based on grey
           correlation analysis

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      Authors: Wei Ji, Biaoxin Chen, Hanying Gan, Xiaoci Zhang
      Pages: 141 - 155
      Abstract: In order to overcome the problems of low accuracy and long evaluation time in traditional performance evaluation methods, this paper proposes a performance evaluation method of legal aid system reform based on grey correlation analysis. Firstly, the Delphi expert consultation method is introduced to build the performance evaluation index system of legal aid system reform. Secondly, the initial matrix is constructed to improve the rationality of evaluation sample selection through index weighting. Finally, the grey correlation coefficient matrix is constructed to determine the closeness to the positive and negative ideal value according to the preference of the decision maker for the position, and the evaluation results of the reform of the legal aid system are obtained. The results show that the accuracy rate of this method can reach 98%, and the evaluation time is only 29 s, indicating that this method can effectively improve the performance evaluation effect of institutional reform.
      Keywords: grey correlation analysis; indicator weighting; positive and negative ideal solution; legal aid system; reform performance
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 141 - 155
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136619
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Evaluation method of supply chain operation risk of logistics enterprises
           based on Monte Carlo algorithm

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      Authors: Wei Ji, Biaoxin Chen, Hanying Gan, Xiaoci Zhang
      Pages: 156 - 169
      Abstract: Aiming at the problems of low evaluation accuracy and long evaluation time in the supply chain operation risk evaluation of logistics enterprises, a method of supply chain operation risk evaluation of logistics enterprises based on the Monte Carlo algorithm is designed. First, set up the screening process of logistics enterprise supply chain operation risk evaluation indicators, and determine the key risk evaluation indicators. Then, the relationship network of risk evaluation indicators is constructed and the evaluation indicators are pretreated. Finally, the reliability degree of the index is calculated by the joint probability distribution function, and the construction of the supply chain operation risk evaluation model of logistics enterprises based on the Monte Carlo algorithm is completed. The test results show that the evaluation accuracy of the proposed method is always higher than 98%, and the time cost is always lower than 2 s, which can effectively improve the evaluation accuracy and shorten the evaluation time.
      Keywords: Monte Carlo algorithm; logistics enterprises; supply chain operation risk; relationship network; factor set
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 156 - 169
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136620
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Investment risk early warning method of listed companies based on
           EMD-RF-LSTM

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      Authors: Lu Ren, Wenyu Zhang
      Pages: 170 - 185
      Abstract: In order to overcome the problems of low accuracy and poor correlation in the early warning method of investment risk of listed companies, this paper designs an early warning method of investment risk of listed companies based on EMD-RF-LSTM. First of all, determine the internal and external early warning factors of investment risk, and realise the screening of risk early warning factors. Then, the maximum likelihood estimate of the influencing factors is calculated by clustering algorithm to realise the factor quantification. Finally, the EMD method is used to extract the characteristics of early warning factors, build the early warning function through RF, and solve the critical value of risk early warning through LSTM to achieve risk early warning. The results show that the accuracy of the proposed method can reach 99%, and the correlation coefficient is 0.97, which plays an important role in the early warning of investment risk.
      Keywords: EMD method; LSTM method; RF method; clustering algorithm; investment risk warning
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 170 - 185
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136621
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Risk assessment method of construction project based on grey correlation
           analysis

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      Authors: Lianguang Mo, Yu Liu
      Pages: 186 - 200
      Abstract: Given the problems of large evaluation errors and long time-consuming in the existing methods, a risk evaluation method for construction projects based on grey correlation analysis is designed. First, build the evaluation index system, and divide the index grade to achieve the construction of the index system. Then, a fuzzy matrix is constructed to determine the complementary relationship between different indicators, and the indicators are quantified and verified for consistency. Finally, determine the index time series dataset, eliminate the index difference, and determine the index difference sequence, maximum range and minimum range value. The index correlation coefficient is calculated and sorted, and the improved grey correlation analysis algorithm is introduced to build the evaluation model. The test results show that the proposed method can reduce the evaluation error and has a certain application value.
      Keywords: grey correlation analysis; construction project; risk assessment; Delphi method; consistency check; fuzzy matrix
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 186 - 200
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136622
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Real estate price prediction method for small and medium-sized cities
           based on data mining

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      Authors: Lianguang Mo, Yu Liu
      Pages: 201 - 215
      Abstract: In order to improve the retention rate of prediction results and reduce the error of data mining, the paper designs a real estate price prediction method for small and medium-sized cities based on data mining. Firstly, starting from the five levels of supply, demand, economy, politics, and others, establish an indicator set of real estate price influencing factors, and then denoise the data based on the independent components of the five types of data. Mine the data needed for price prediction through traversal data. Finally, calculate the general prediction error, and use the proximity technology to predict the real estate prices of small and medium-sized cities. Experiment shows that the retention rate of the prediction results of this method is 93.4%-95.7%, and the approximate root mean square error is 0.058-0.079, which shows that the mining effect of this method is better and the prediction results are more effective.
      Keywords: real estate price; price forecast; influencing factors; data denoising; data mining; generalised error
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 201 - 215
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136623
      Issue No: Vol. 27, No. 1/2 (2024)
       
  • Sustainable development and human capital

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      Authors: Lianguang Mo, Yu Liu
      Pages: 216 - 230
      Abstract: Recently, the academic literature has investigated the existence of a direct link between sustainable development and human capital. In following this growing body of literature, the present paper aims to formalise, and then verify, the role of human capital on environmental quality. Precisely, from a theoretical point of view, the work introduces the ecological identity into a basic growth model that is based on human capital. By increasing sensitivity and concern for environmental issues, human capital can reduce the impact of economic activity on the environment, as well as adding its positive effect on economic growth. This key assumption of the theoretical model is empirically tested through a panel analysis on 81 national economies (62 low-and middle-income economies and 19 high-income economies) over a period of more than 20 years. The paper finds a direct and positive link between sustainable development and an advanced stage of tertiary education (namely, a Master's degree or a PhD). This result could potentially be a good indicator for the future of the environment and for humankind.
      Keywords: sustainable development; economic growth; human capital; education
      Citation: International Journal of Sustainable Development, Vol. 27, No. 1/2 (2024) pp. 216 - 230
      PubDate: 2024-02-08T23:20:50-05:00
      DOI: 10.1504/IJSD.2024.136606
      Issue No: Vol. 27, No. 1/2 (2024)
       
 
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