International Journal of Sustainable Development (33 papers in press)

Regular Issues

• An evaluation method of English teaching quality based on Markov chain  
  by Lifeng Li 
  Abstract: Focusing on improving the accuracy and comprehensiveness of teaching quality evaluation results, a Markov chain-based English teaching quality evaluation method is proposed. Construct a teaching quality evaluation index system and calculate the specific weights of different evaluation indicators in the system through an analytic hierarchy process. Based on the weight calculation results, the state-transition matrix is established using the Markov chain method, and more states are introduced to construct the state-transition matrix. According to the state-transition matrix, the residual sequence with the same position is obtained under the original data sequence, and the upper and lower boundary values of different residual sequences are obtained. Combined with the steady-state distribution vector, the teaching quality evaluation results are obtained. The experimental results show that the evaluation results of the proposed method have lower errors and are more comprehensive.
  Keywords: teaching quality evaluation; analytic hierarchy process; AHP; residual sequence; Markov chain.
  DOI: 10.1504/IJSD.2023.10061894
   
  
• An online English teaching quality assessment method based on PCA-SVM  
  by Siyuan Yuan 
  Abstract: In order to scientifically evaluate the quality of English online teaching, this study propose an online English teaching quality assessment method based on PCA-SVM. This method first selects evaluation indicators, and then uses PCA algorithm to extract the main components of the evaluation indicators. Next, the SVM algorithm is introduced to obtain its optimal classification hyperplane, so as to determine the category of the evaluation index. Finally, hyperplane segmentation is performed on the samples of evaluation indicators to obtain the classification results of main component indicator data. Based on the classification results, complete the design of an English online teaching quality classification evaluation model. The test results show that the correlation coefficient of the proposed method's indicators can reach 0.99, and its multiple evaluation noise is only 0.55dB, which is superior to the comparison method and has certain feasibility.
  Keywords: PCA-SVM; online English teaching; quality assessment; evaluation function; hyperplane segmentation.
  DOI: 10.1504/IJSD.2023.10061895
   
  
• The educational quality evaluation method of college online teaching mode under the background of big data  
  by Yang Yang, Zhencun Wang, Zhanlei Shang, Zhan Li, Irving Domingo L. Rio, Merle L.Junsay 
  Abstract: Evaluating the educational quality of online teaching mode is of great significance for improving teaching level. Therefore, this article designs an education quality evaluation method for online teaching mode in universities under the background of big data. Firstly, analyse the online teaching mode in universities and build an evaluation system. Secondly, clustering similarity is calculated based on attribute distance to complete the clustering division of education quality. Then, use the association rule algorithm in big data technology to determine the impact of indicators on the evaluation results. Finally, construct an evaluation function, calculate the weight of the function using a consistent matrix, and solve the function to achieve education quality evaluation. The results show that the evaluation accuracy of the proposed method can reach 99%, and the evaluation time is less than 0.2 seconds, effectively improving the effectiveness of education quality evaluation.
  Keywords: online teaching mode; attribute distance; consistent matrix; big data technology; association rule algorithm.
  DOI: 10.1504/IJSD.2023.10061896
   
  
• The impact of multimedia mobile terminal devices on students' comprehensive learning quality  
  by Jing Li, Lifen Hu 
  Abstract: In order to improve comprehensive learning quality of students, this study investigates the impact of multimedia mobile terminal devices on comprehensive learning quality of students. Firstly, analyze the characteristics of multimedia mobile terminal devices, including high-performance and powerful multimedia functions, excellent human-machine interaction performance, portability, openness, and privacy. Secondly, analyze the impact of multimedia mobile terminal devices on students' learning from seven aspects. Finally, set up experimental and control group classes to analyze comprehensive learning quality of students. The research results show that 66.35% of students believe that their listening ability has been significantly improved, 67.78% of students believe that their knowledge accumulation ability has been significantly improved, and 63.72% of students believe that their autonomous learning ability has been significantly improved. Therefore, it indicates that the reasonable use of multimedia mobile terminal devices in the classroom can improve comprehensive learning quality of students.
  Keywords: multimedia mobile terminal equipment; quality of students' comprehensive learning; human machine interaction function; multimedia features.
  DOI: 10.1504/IJSD.2023.10061897
   
  
• An online teaching quality evaluation method based on improved entropy method in the context of sustainable development  
  by Ye He, Wenbin Li 
  Abstract: The evaluation effect of online teaching quality not only affects the development of teaching models, but also has an impact on the learning quality of students. Therefore, a method for evaluating online teaching quality based on improved entropy method in the context of sustainable development is proposed. Firstly, under the principle of sustainable development, K-means clustering algorithm is used to cluster and mine online teaching data. Secondly, based on the excavated online teaching data, establish an online teaching quality evaluation index system. Finally, the standard transformation method is used to improve the entropy method, and the improved entropy method is used to calculate the comprehensive index of online teaching quality evaluation, completing the graded evaluation of online teaching quality. The test results show that the proposed evaluation method can accurately and efficiently evaluate online teaching, with a maximum evaluation accuracy of 99.84%.
  Keywords: sustainable development; improved entropy method; online teaching; quality assessment; standard transformation method.
  DOI: 10.1504/IJSD.2023.10061898
   
  
• Evaluation of the effectiveness of graded English teaching reform in a mixed learning environment  
  by Danting Yin 
  Abstract: The effect of English graded teaching reform is still unclear. In order to study the practical application effect of English graded teaching reform, the evaluation method of English graded teaching reform effect in blended learning environment is proposed. Firstly, the characteristics of blended learning environment are analysed, and the time series analysis method is used to collect the data of English graded teaching reform. Secondly, through the optimal cluster analysis criterion, an index system for evaluating the effect of English graded teaching reform is constructed. Finally, the fuzzy comprehensive evaluation method is used to obtain different levels of the effectiveness of English graded teaching reform and complete the evaluation of the effectiveness of English graded teaching reform. The test results show that the highest evaluation accuracy of the proposed evaluation method is 99.03%, and the highest evaluation time is 0.5 hours.
  Keywords: mixed learning environment; English level teaching; teaching reform; effect evaluation; fuzzy comprehensive evaluation.
  DOI: 10.1504/IJSD.2023.10061899
   
  
• Evaluation method of online education sustainable development effect based on data mining  
  by Zhanqiu Yu 
  Abstract: A data mining based online education sustainable development effectiveness evaluation method is proposed to address the issues of low evaluation accuracy and efficiency in traditional methods. Firstly, analyse the four elements of sustainable development in online education; secondly, the decision tree method is used to decompose the similarity of online education data to obtain the similarity between different data, and probability statistical methods are used to mine online education data. Then, combine the data mining results with the four elements to construct an evaluation index system; finally, based on the principle of fuzzy set transformation, a fuzzy evaluation matrix is established to conduct fuzzy evaluation on the evaluation indicators and obtain the evaluation results. The experimental results show that the proposed method has high evaluation accuracy, fast efficiency, and a small gap between the evaluation results and actual performance.
  Keywords: data mining; online education; sustainable development; probability and statistics; fuzzy set transformation.
  DOI: 10.1504/IJSD.2023.10061900
   
  
• Evaluation method of English teaching reform effect based on GWO-SVM  
  by Kun Li 
  Abstract: Evaluating the effectiveness of English teaching reform can effectively improve the quality and effectiveness of English teaching. Therefore, the paper proposes an evaluation method for the effectiveness of English teaching reform based on GWO-SVM. First of all, build a multiple evaluation index system with schools, teachers and students as the main body, and use fuzzy theory to mine the data of reform results; Secondly, the mined data is processed to achieve data standardisation; then, a sample classifier is constructed by SVM to classify the reform effect data. Finally, the evaluation function is constructed based on GWO, and the function is solved, and the final evaluation effect of English teaching reform is input. The results show that the evaluation result of this method is of high accuracy, less than 2.3 s in time, and up to 0.97 in comprehensiveness, effectively improving the reform effect.
  Keywords: fuzzy theory; GWO algorithm; range transformation; English teaching reform; support vector machine; SVM.
  DOI: 10.1504/IJSD.2023.10061901
   
  
• Spatial expansion and liveability: a study of merged villages in Pune city, India  
  by Jyoti Chandiramani, Gargi Patil, Akash Raj 
  Abstract: Spatial expansion has been an inevitable side effect of urbanisation in India, which also affects the level of sustainable development. This study examines the challenges and opportunities resulting from the spatial expansion of Pune city (Maharashtra, India), which has experienced a 111% of spatial expansion due to the merger of 23 villages. The study analyses the impact of spatial expansion on select liveability parameters that are crucial in assessing sustainable development, based on Ease of Living Index (EoLI). Researchers collected primary data from several sources including field visits, expert opinions, and media analysis. Results indicate that the merged areas have resulted in both an opportunity and a challenge for Pune city. However, there is a need to improve the liveability aspects of the merged villages, which is the core principle of sustainable development, also since, per capita budgetary allocation for the city has shown a significant decline over the selected timeframe.
  Keywords: cities; liveability; Pune; spatial expansion; sustainable development; urban areas.
  DOI: 10.1504/IJSD.2024.10062326
   
  
• Comprehensive evaluation method of marketing environmental quality under the background of sustainable development  
  by Bo An, Chang Liu 
  Abstract: In order to solve the problems of large relative average error of indicator weights, long calculation time, and low evaluation accuracy in traditional methods, the comprehensive evaluation method of marketing environmental quality under the background of sustainable development is proposed. The comprehensive evaluation index system of marketing environmental quality under the background of sustainable development was determined. The index data clustering was completed by using DPC algorithm and the weight of evaluation index was calculated by using principal component analysis method. The fuzzy comment set and evaluation matrix were established to obtain the fuzzy grey comprehensive evaluation results of marketing environmental quality, and the evaluation results were modified to complete the comprehensive evaluation of marketing environmental quality. The experimental results show that the maximum relative mean error of the index weight of this method is 0.091, the maximum weight calculation time is 2.947 s, the evaluation accuracy varies from 95% to 99%.
  Keywords: background of sustainable development; marketing environment; comprehensive evaluation; DPC algorithm; principal component analysis; fuzzy grey comprehensive evaluation.
  DOI: 10.1504/IJSD.2024.10062642
   
  
• The method of green tourism route planning under the sustainable development theory  
  by Wei Lu 
  Abstract: With the aim of shortening the length of ineffective tourism routes and reducing carbon emissions, this study proposes a new green tourism route planning method based on sustainable development theory. First, based on the theory of sustainable development theory, the information chain of tourism landscape elements is established to form an orderly organisational form of landscape factors. Then, the knowledge graph of tourist attractions is constructed. After crawling historical travel notes, the database of tourist attractions is established, and LDA is used to cluster tourist attractions. Finally, a route planning model is established with the optimisation goal of minimising the length of daily tourist routes and the carbon emissions generated. Experimental results show that, while visiting all ten scenic spots, the total length of the route planned by this method is 97.2 m, and the carbon emissions generated are only 3,992 kg, indicating that this method meets the requirements of sustainable development.
  Keywords: sustainable development; green tourism; tourism route planning; landscape factors; knowledge graph; latent Dirichlet allocation; route length; carbon emissions.
  DOI: 10.1504/IJSD.2024.10062643
   
  
• An evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights  
  by Shan Yang 
  Abstract: To solve the problems of low evaluation accuracy and large calculation error of indicator weights in traditional methods, an evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights is proposed. Firstly, determine the quality evaluation indicators for cultivating students in universities and conduct descriptive statistics on the sample characteristics of the indicator data. Secondly, the evaluation indicators are selected through the correlation coefficient matrix and factor loading. Finally, the entropy weight method is used to determine the weight of indicators, and a student training quality evaluation model based on the combination of entropy weight and variation coefficient weights is constructed to obtain the training quality score value. The experimental results show that the evaluation accuracy of the proposed method is close to 100%, and the minimum error in calculating indicator weights is about 0.05%.
  Keywords: combination of entropy weight; variation coefficient weights; college student training; evaluation; correlation coefficient matrix; factor loading.
  DOI: 10.1504/IJSD.2024.10062644
   
  
• Study on urban rural spatial ecology and environmental planning from the perspective of human settlements theory  
  by Yang Zhang, Meng-jun Huang, Hongjing Wu, Ling Zhen 
  Abstract: In order to maintain the balance of nature, improve environmental quality, promote sustainable development, and make rational use of land resources, this paper studies urban-rural space ecology and environmental planning from the perspective of the theory of human settlements. Establish a functional evaluation index system, determine the ecological source of urban-rural space, construct a pattern of urban-rural space ecology and environmental security, calculate the resistance value of the ecological source through the combination weighting method, determine the ecological corridor and ecological nodes through the gravity model, divide the space of the control line through the growth boundary threshold, and improve the effectiveness of ecological and environmental planning. Experiments have shown that the highest cumulative resistance of each ecological source in the region is 9.2
  Keywords: human settlement environment theory; urban-rural space; ecology and environment; maximising dispersion; ecological corridor; ecological nodes.
  DOI: 10.1504/IJSD.2024.10062695
   
  
• An evaluation method of sustainable development level of agricultural economy under the economic new normal  
  by Shasha Zhang, Shu Liu 
  Abstract: The evaluation of agricultural economic sustainability plays a crucial role in promoting the sustainable development of agriculture. Therefore, an evaluation method of sustainable development level of agricultural economy under the economic new normal is proposed. Bartlett's sphericity test is used to determine the correlation between evaluation indicators under the new normal of the economy, and an evaluation indicator system is established. The combination weights of evaluation indicators are obtained through the expert method and entropy method. The comprehensive positive distance and comprehensive negative distance of evaluation objects are calculated using the interval scale method. This allows for the calculation of scores for each level of agricultural economic sustainability, resulting in relevant evaluation results. Experimental results show that the maximum correlation value of evaluation indicators for this method is 0.96, the maximum average relative error rate of indicator weights is 4.36%, and the accuracy ranges from 93.9% to 97.2%.
  Keywords: economic new normal; agricultural economy; sustainable development; evaluation; Bartlett's sphericity test; entropy method; interval scale.
  DOI: 10.1504/IJSD.2024.10062696
   
  
• Strategies for building a resource-saving and environmentally friendly society from the perspective of circular economy  
  by Liu Liu, Jia Li, Hangbo Liu, Xiaochen Wang, Qixin Zhang 
  Abstract: In this paper, based on the recycling economy perspective, discusses the resource-conserving environment-friendly society construction strategy. Firstly, the existing problems in current social construction were analysed, including resource waste, environmental pollution, and ecological damage. Then, strategies for building a resource-saving and environmentally friendly society from the perspective of circular economy were proposed, including promoting the circular economy model, strengthening resource management and monitoring, promoting sustainable consumption and production, and encouraging green technology innovation. These strategies aim to maximise resource utilisation, reduce environmental load, improve ecosystem stability, and enhance human well-being. By effectively implementing these strategies, a sustainable resource saving and environmentally friendly society can be built, achieving coordinated development of economy, environment, and society.
  Keywords: circular economy; resource saving type; environmentally friendly; social construction strategy.
  DOI: 10.1504/IJSD.2024.10062697
   
  
• Correlation analysis between market transformation and economic growth in the digital economy era  
  by YongChao Yang 
  Abstract: In order to analyse the impact of market transformation on economic industries and economic structure, this article takes the digital economy era as the research background and analyses the correlation between market transformation and economic growth. Firstly, analyse the market transformation in the digital economy era; then, the relationship between economic growth mode and economic growth rate is analysed through scattered point fitting graph, and a vector autoregression is constructed to realise the relationship modelling between market transformation and economic growth; finally, construct an orthogonal pulse response diagram between market transformation and economic growth, and analyse the correlation between market transformation and economic growth. Combining the content of modelling analysis, with market transformation as the main perspective, analyse the impact of digital technology on economic industries, the impact of market transformation on economic growth, and the impact of market transformation on economic structure and resource allocation.
  Keywords: digital economy era; market transformation; economic growth; vector autoregression; VAR; impulse response function.
  DOI: 10.1504/IJSD.2024.10062698
   
  
• Evaluation method of tourism environmental capacity in nature reserves based on data mining  
  by Juan Xie 
  Abstract: A new data mining based method for evaluating tourism environmental capacity in natural reserves is studied in this paper. Firstly, the evaluation index system is constructed according to the tourism environmental capacity dimension of nature reserves. Then, the index data of the evaluation index system is processed by extreme value normalisation to complete the pre-processing. Secondly, a data mining algorithm is introduced to optimise the data mining algorithm through weights and load items based on the processed index data, and an evaluation method is constructed to obtain the evaluation score. Finally, the weighted rank sum ratio is introduced, the rank sum ratio is calculated, and the weighted rank sum ratio is obtained by combining the weights. The evaluation method of data mining is optimised by this algorithm, and the tourism environmental capacity evaluation of nature reserves is realised. The experimental results show that the evaluation accuracy of this method is the highest at 97.8%, the evaluation confidence should be the highest at 0.99, and the PR curve is closest to the upper right corner, the results show that the method can improve the evaluation accuracy effectively.
  Keywords: data mining; nature reserves; tourism environment; capacity assessment; normalisation of extreme values; weighted rank sum ratio.
  DOI: 10.1504/IJSD.2024.10062699
   
  
• Evaluation method of rural ecotourism resource development potential based on entropy weight-TOPSIS model  
  by Fanqi Meng 
  Abstract: To solve the problems of low recall rate, high relative error rate of weight calculation and low accuracy in traditional methods for evaluating influencing factors, this study proposes an evaluation method of rural ecotourism resource development potential based on entropy weight-TOPSIS model. The spatial distribution characteristics and influencing factors of rural ecological tourism resources are determined, and an indicator system for evaluation is built. The weights of the indicators are determined using the entropy weighting method, and an entropy-weighted TOPSIS model is built. The evaluation indicator data such as agricultural landscapes, economic conditions, and ecological conditions are input into the model, and the evaluation results are obtained relevant results. Experimental results show that the recall rate of the proposed method reaches a maximum of 98.71%, the average relative error rate of the indicator weight calculation is 3.15%, and the accuracy is above 88.2%.
  Keywords: entropy weight-TOPSIS model; rural ecotourism; ecotourism resource; development potential; spatial distribution characteristics; influencing factors; weights of the indicators.
  DOI: 10.1504/IJSD.2024.10062700
   
  
• Monitoring of ecological environment change in tourist attraction based on remote sensing images  
  by Nan Wang 
  Abstract: Monitoring the changes in the ecological environment of tourist attractions is of great significance for protecting the environment, guiding tourism planning, promoting sustainable development, etc. Therefore, a monitoring method of ecological environment change in tourist attraction based on remote sensing images was proposed. Landsat TM remote sensing images were obtained for tourist attractions and geometric correction was performed. The mean shift filtering algorithm was used to denoise the remote sensing images, and the denoising results were segmented at multiple scales. Nonlinear support vector machines were used to classify the remote sensing images, and ecological indices such as biological abundance index, vegetation coverage index, and remote sensing ecological index were determined for monitoring environmental changes. The experimental results show that the monitoring results of this method have a small difference with the actual results, and the calculation time of the monitoring results varies within the range of 0.20.5 s.
  Keywords: remote sensing images; tourist attraction; ecological environment; monitoring; mean shift filtering algorithm; nonlinear support vector machine.
  DOI: 10.1504/IJSD.2024.10062701
   
  
• Distributed monitoring method of urban water environment pollution condition from the perspective of sustainable development  
  by Mingming Deng 
  Abstract: Based on the analysis of the main pollution characteristics of urban water environment, a distributed monitoring method of urban water environment pollution condition from the perspective of sustainable development based on multi-parameter autoregressive analysis is proposed. A constraint parameter model for spatio-temporal distribution characteristics analysis is constructed, and water eutrophication and pollution contribution degree of soil nitrogen pool are taken as the optimisation model parameters. The multivariate statistical method is adopted to detect the pollution principal component characteristics, and the quantitative fusion index parameter analysis is carried out based on both principal component analysis and cluster analysis to identify the pollution control factors affecting the water environment. The distributed monitoring of urban water environmental pollution is realised based on the characteristics change and the requirements of regulation targets. The experimental results show that the method has a good ability to express statistical characteristics and monitoring accuracy reached 99.8%, it can effectively monitor various pollution components.
  Keywords: sustainable development vision; urban water environment pollution; state distributed monitoring; principal component analysis; cluster analysis.
  DOI: 10.1504/IJSD.2024.10062702
   
  
• The construction status and optimisation strategies of an environmentally friendly society under the concept of sustainable development  
  by Changfei Liu, Jing An 
  Abstract: Owing to the long-term imbalance of China's industrial structure, non-renewable resources have entered a period of depletion. As a result, China has formulated a strategy for building an environmentally friendly society. Therefore, the construction status and optimisation strategies of an environmentally friendly society under the concept of sustainable development have been proposed. Build a comprehensive evaluation index system for the construction of an environmentally friendly society, and complete the current status analysis of the construction of an environmentally friendly society based on the comprehensive evaluation results. Develop optimisation strategies for the construction of an environmentally friendly society and promote the rapid construction of an environmentally friendly society. The case analysis results indicate that the optimisation strategies formulated can effectively reduce the energy use and pollution waste emissions of cities, and promote the construction of an environmentally friendly society in China while ensuring positive economic development.
  Keywords: sustainable development concept; environmentally friendly society; the current situation of social construction; optimisation strategy.
  DOI: 10.1504/IJSD.2024.10062703
   
  
• Optimisation method of regional logistics delivery path based on ant colony algorithm  
  by Yanhua Huang, Liying Su 
  Abstract: In order to effectively shorten the logistics delivery path and shorten the driving time, a regional logistics delivery path optimisation method based on ant colony optimisation algorithms was proposed. Considering the complexity of regional logistics delivery, the delivery area is divided based on factors such as customer location, demand, and time window information. Analyse the transportation conditions of regional logistics delivery paths, with the goal of minimising carbon emissions in the shortest possible time, and construct an optimisation function for regional logistics delivery paths. The ant colony optimisation algorithms are used to optimise the time and carbon emission parameters, solve the objective function, and finally obtain the optimal regional logistics delivery path. The experimental results show that using the proposed method can better solve the problem of regional logistics delivery path, shorten the path and driving time of logistics delivery.
  Keywords: ant colony algorithm; regional logistics delivery; path optimisation; driving time.
  DOI: 10.1504/IJSD.2024.10062704
   
  
• BIM-based full lifecycle management and sustainability optimisation of water conservancy engineering  
  by Sha Li 
  Abstract: This paper conducted in-depth research on water conservancy project lifecycle management and its sustainability optimisation based on building information modelling technology. The experiment took a specific sewage treatment plant as the research object. The experimental results showed that the minimum error of the paper’s method in building modelling was only 0.001 cm, and the average error of each point was much smaller than that of other modelling methods. At the same time, it performed excellently in predicting the effectiveness of sewage treatment, achieving zero error in predicting the total phosphorus content. The error in the total cost prediction was only 0.3%, indicating that building information modelling can play a good role in resource allocation. This study has particular value for the entire lifecycle management and sustainable optimisation of water conservancy engineering and provides direction for subsequent research.
  Keywords: BIM technology; hydraulic engineering; 3D laser scanning; storm water management model; SWMM; particle swarm optimisation; PSO.
  DOI: 10.1504/IJSD.2024.10063033
   
  
• Exploring the effect of BERT and attention mechanisms on predicting futures prices in the green finance market  
  by Yue Liang 
  Abstract: As the green finance sector develops, there is an increasing demand for forecasting future prices. To investigate the influence of futures prices on green financial markets, an innovative technique is suggested that uses BERT and attention mechanisms. The foundations of futures price prognostication are primarily strengthened by a feature amalgamation methodology using an attentional strategy. Then, to facilitate deft deduction, a BERT-grounded approach is suggested for predicting future prices within the context of the green financial market. The empirical findings demonstrate that the mean absolute percentage error (MAPE) value obtained by the proposed methodology stands impressively at 0.653, reiterating the suggested paradigm’s clear efficacy. The study lays the foundation for implementing ecological fiscal stewardship and creating sustainable market strategies.
  Keywords: green finance; futures price prediction; feature fusion; attention mechanism; mean absolute percentage error; MAPE.
  DOI: 10.1504/IJSD.2024.10063103
   
  
• Development strategy of transnational e-commerce logistics and distribution based on artificial intelligence and big data  
  by Zhenhua He, Liang Chen, Bin Liu 
  Abstract: This article combines artificial intelligence with e-commerce delivery to conduct in-depth research on the development strategy of cross-border e-commerce logistics delivery. On the basis of analysing the current situation and existing problems of logistics development, big data technology is used to provide database information queries, demonstrate how to achieve actual positioning, and propose business logistics distribution development strategies through asymmetric hybrid algorithms. Finally, experimental analysis is conducted. The experimental results show that compared with traditional delivery methods, the digital delivery of cross-border distribution construction has improved delivery efficiency by more than 25%, improving the overall performance of the distribution system. The conclusion indicates that the development strategy of cross-border e-commerce logistics distribution based on artificial intelligence and big data can effectively improve the efficiency of logistics distribution systems, and help provide a new perspective for the development of e-commerce logistics.
  Keywords: AI and big data; cross-border e-commerce; artificial intelligence; big data analysis; cross border e-commerce delivery distribution.
  DOI: 10.1504/IJSD.2024.10063473
   
  
• Managerial myopia and low-carbon transition development: evidence from listed companies  
  by Fake Ma, Huili Li 
  Abstract: Perception of management holds paramount importance in guiding the metamorphosis and advancement of enterprises. Drawing upon a fresh research perspective centred around managerial myopia (MM), this paper delves into the profound impact of such myopia on the low-carbon total factor productivity of enterprises. The study reveals several noteworthy findings: firstly, the influence of MM on enterprise low-carbon total factor productivity exhibits a pronounced negative trend, signifying that myopia acts as a hindrance to the progression of enterprise low-carbon transformation. Secondly, the effect of MM on enterprise low-carbon total factor productivity displays distinctive heterogeneity, with myopia particularly prominent in its hindering effect on state-owned and mature enterprises. Thirdly, the impediment posed by MM on the development of enterprise low-carbon endeavours stems from declining R&D intensity, reduced environmental protection investments, and weakened human capital. Lastly, the key to breaking free from the constraints of MM in fostering low-carbon transformation lies in the proactive disclosure of environmental information and the fortification of internal control mechanisms.
  Keywords: managerial myopia; MM; low-carbon transition; total factor productivity.
  DOI: 10.1504/IJSD.2024.10063615
   
  
• Path of the impact of digital trade on accelerating the transformation and upgrading of green industry development  
  by Yao Gu, Xiao Liu 
  Abstract: In the past trade model, most industrial structures still relied on high carbon emission production methods, leading to resource waste and low trade efficiency, which hindered the development of green industries. This article aims to explore the impact of digital trade on the development, transformation, and upgrading of green industries. This article uses a projection optimisation model under real number encoding accelerated genetic algorithm to measure the level of digital trade development, quantify the transformation and upgrading of digital trade development, and the level of green industry development. The average production time of the five green products in digital trade is 39.8% less than that of traditional human trade, indicating that the efficiency of digital trade is higher. Through the research in this article, it can promote the development of digital trade and green industries, and achieve a reasonable balance between the economy and the environment.
  Keywords: digital trade; green industry development; real coding accelerating genetic algorithm; transformation and upgrading.
  DOI: 10.1504/IJSD.2024.10064579
   
  
• Evaluation method of rationality of urban landscape facility design based on neural network  
  by Fanglong Wang, Qianda Zhuang, Xiaoni Sun, Dengfeng Lin 
  Abstract: Urban landscape facilities not only enhance the quality of life for residents and promote social interaction but also add bright elements to the display of urban culture and image. Therefore, this study formulates a scientific and reasonable evaluation index system for the rationality of urban landscape facility design and uses a neural network to carry out intelligent evaluation, in order to obtain optimal evaluation outcomes. The simulation results presented in the research demonstrate the effectiveness of the proposed technique in evaluating the soundness of landscape facilities. Specifically, our work encompasses the following key aspects: 1) Introducing the relevant theoretical knowledge and research progress in urban landscape facility design. 2) Elucidating the basic principles and structures of the backpropagation neural network (BPNN), along with the proposal of an improved genetic algorithm-back propagation neural network (GA-BP) to address the limitations of BPNN. 3) Conducting experiments to determine the optimal parameters for the GA-BP model once training is finished. The trained model is then tested with the experimental data, and the results are compared to those obtained by expert reviews. The experimental findings prove that the GA-BP model is effective in evaluating urban landscape facilities and it holds certain reference and application value for research in urban planning, architecture, landscape, and other related fields.
  Keywords: urban landscape facilities; evaluation index; design rationality; neural network.
  DOI: 10.1504/IJSD.2024.10064855
   
  
• Frugal innovation and sustainable development: a holy grail for rural transformation  
  by Vrushal Khade, Christophe Estay 
  Abstract: Frugal innovation, rooted in the principles of affordability, accessibility, and sustainability, has gained significant attention as a means to address the unique challenges faced by rural areas. This article explores the intersection of frugal innovation, sustainable development, and the role of multinational companies (MNCs) in driving positive change in rural communities through the frugal management canvas. Sustainable development lies at the heart of frugal innovation in rural contexts. Through alignment with the United Nations’ Sustainable Development Goals (SDGs), MNCs can contribute to poverty eradication, improved healthcare, quality education, access to clean energy, and other critical development targets. Furthermore, by establishing local partnerships, empowering local entrepreneurs, and integrating the principles of frugal innovation into their business models, MNCs can effectively address the unique challenges faced by rural communities and foster long-term sustainable development. MNCs have the opportunity to create lasting social impact, economic growth, and environmental sustainability in rural communities.
  Keywords: frugal innovation; reverse innovation; grassroots innovation; sustainable development; Sustainable Development Goals; SDGs; frugal management canvas.
  DOI: 10.1504/IJSD.2024.10066012
   
  
• Construction and practice of BOPPPS + hybrid teaching mode supported by 5G smart classroom  
  by Su Song, Yiuchi Lai 
  Abstract: Education is a key tool to help college students develop a correct world outlook, as well as an outlook on life and values, and the fundamental responsibility of teachers is to help them realise this and put it into practice. However, the politics and ideology of the traditional classroom have been unable to keep up with the requirements of the times, so a new teaching method is needed. In the information age, the educational environment and teaching materials are undergoing major changes, the next standard of teaching will be an intelligent learning environment with individualised courses, and BOPPPS + blended provides creative suggestions for intelligent education. This paper used the framework of the BOPPPS+ blended teaching model three-level, six-ring and four-point. The use of the BOPPPS + blended teaching mode for ideological and political learning was conducive to improving students learning efficiency.
  Keywords: BOPPPS + hybrid; 5G smart classroom; teaching mode; intelligent learning.
  DOI: 10.1504/IJSD.2024.10066275
   
  
• EExploring the relationship between ESG, CSR, sustainability reporting and financial performance: a bibliometric analysis using VoS-viewer  
  by Prashant Debnath, P. Chellasamy 
  Abstract: This research conducts a bibliometric analysis of ESG, CSR, sustainability reporting, disclosures, and financial performance literature from 2003 to 2023, identifying key contributors, journals, organisations, articles, and countries. Data were gathered from Scopus and analysed using VoS-viewer software. Techniques such as co-citation networks, co-authorship patterns, bibliographic coupling, and keyword co-occurrences revealed significant growth in research since 2010, peaking in 2022. Key trends included CSR disclosure’s impact on forecast accuracy, sustainability integration in financial reporting, and the link between CSR and financial performance, especially in the GCC Islamic banking sector. Authors like A. Buallay, N.V. Khuong, and M.S. Sial made substantial contributions. Ahlia University emerged as a top contributor, with research interests spanning Malaysia, India, China, and the UAE. Influential journals included Sustainability (Switzerland) and the Social Responsibility Journal. The study highlights the positive link between sustainability reporting and firm performance, though CSR’s impact on financial performance varied.
  Keywords: environmental social governance; ESG; sustainability reporting; corporate social responsibility; CSR; financial performance; bibliometric analysis; disclosures.
  DOI: 10.1504/IJSD.2024.10067695
   
  
• The use of water in the Seine Estuary River basin by the regional economy in 2050: a multisectoral prospective approach  
  by Jeremy Pantet 
  Abstract: This article examines the prospects for growth in economic activity along the Seine estuary in 2050. The impact of climate change on this estuary would potentially increase its attractiveness, particularly for service-related activities, due to a warmer and less rainy climate. Consequently, we identify the boundaries of such increased attractiveness in order to maintain water use that protects the estuary from the risks of hydric stress. These limits are identified using an input-output model extended to water resources. We show that the potential for growth before reaching the defined environmental limit is significant, but still achievable, even for an economy adhering to the National Low Carbon Strategy.
  Keywords: input output modelling; water resources; climate change.
  DOI: 10.1504/IJSD.2024.10067908
   
  
• Corporate sustainability strategies: insights, innovations and future directions  
  by Ângelo Roucos, Leandro Ferreira Pereira, Álvaro Lopes Dias, Vânia Patrício 
  Abstract: In a world increasingly concerned with environmental sustainability, this study addresses the growing need for effective green business practices. This research aims to identify and analyse strategies that enable companies to improve their environmental performance. Through a systematic literature review and a series of in-depth interviews with companies of varying sizes from different industries, followed by analysis of the interview data to identify patterns and commonalities, this study examines the practices that can contribute to environmental sustainability and assesses their impact. The main findings of this study highlight the importance of organisational commitment, leadership, effective communication systems, and the use of technological advances, as well as employee engagement in driving sustainable initiatives. The study also identifies challenges in assessing progress over time and prioritising sustainability within organisations and provides valuable insights into corporate sustainability practices. Future research could explore the integration of emerging technologies, such as blockchain and AI, in enhancing sustainability efforts and examine the long-term effects of these practices on both environmental and financial performance.
  Keywords: environmental performance; environmental management; green initiatives; corporate sustainability.
  DOI: 10.1504/IJSD.2024.10068587