Template-Type: ReDIF-Article 1.0 Author-Name: Aslı Öztopcu Author-X-Name-First: Aslı Author-X-Name-Last: Öztopcu Title: Social capital in sustainable cooperative entrepreneurship: an insight at cooperatives in Turkey Abstract: The sustainability of an enterprise has implications for both the company and society. The paper discusses the sustainability of cooperative entrepreneurship (CE) among company types using the social capital approach. Although social capital is supportive of social and economic development, the type of company is ignored in studies examining the social capital of enterprises. In the study, studies on cooperatives in Turkey were examined. The findings show that the benefits of social capital increase after the members join the cooperative. Members get benefits such as increased revenue, collaboration in a trusted environment, and increased production volume. These advantages increase the performance of CEs. In other words, there is an affirmative interaction between CE performance and social capital in the sustainability of CEs. Journal: Int. J. of Sustainable Development Pages: 356-382 Issue: 3/4 Volume: 26 Year: 2023 Keywords: social capital; cooperative entrepreneurship; sustainability; entrepreneurship; cooperative; sustainable development; Turkey. File-URL: http://www.inderscience.com/link.php?id=134408 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:356-382 Template-Type: ReDIF-Article 1.0 Author-Name: Chen Chen Author-X-Name-First: Chen Author-X-Name-Last: Chen Author-Name: Peisen Song Author-X-Name-First: Peisen Author-X-Name-Last: Song Title: Evaluation method of diversified teaching effect of higher vocational education based on knowledge map Abstract: In order to overcome the problems of low evaluation accuracy and large calculation error of index contribution rate of teaching effect evaluation method, this paper proposes a teaching effect evaluation method based on knowledge map. First, build a diversified teaching effect assessment index system; secondly, the similarity degree of index data is calculated by using naive Bayes algorithm. Then, Lagrange multiplier is introduced to quantify the assess index. Finally, the contribution rate of the indicators is determined through the knowledge map, and the ontology elements are updated and selected to realise the teaching effect assess of vocational education. The experimental results show that the proposed method can improve the assessment accuracy up to 95.8%, and the maximum error of index contribution rate is no more than 1%, indicating that the diversified teaching effect assessment effect of this method is better. Journal: Int. J. of Sustainable Development Pages: 318-328 Issue: 3/4 Volume: 26 Year: 2023 Keywords: knowledge map; higher vocational education; diversified teaching; effect assess; K adjacent; naive Bayes. File-URL: http://www.inderscience.com/link.php?id=134409 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:318-328 Template-Type: ReDIF-Article 1.0 Author-Name: Weina Li Author-X-Name-First: Weina Author-X-Name-Last: Li Author-Name: Zhinan Cui Author-X-Name-First: Zhinan Author-X-Name-Last: Cui Author-Name: Xiaochun Tang Author-X-Name-First: Xiaochun Author-X-Name-Last: Tang Title: Study on early warning evaluation of project investment risk considering comprehensive simulation method Abstract: In order to overcome the problems of risk assessment method, such as too long assessment time and poor assessment accuracy, this paper proposes a project investment risk early warning assessment method considering the comprehensive simulation method. First, design a risk index system; secondly, the expert weight of project investment risk indicators is determined, and the objective weight of experts is calculated using similarity information; then, combined with CRITIC method, the mixed weights of index attributes are calculated; finally, the comprehensive simulation method is introduced to realise risk early warning evaluation. The results show that the accuracy of early warning under this method is always higher than 92%, and the evaluation time is always within 20 days, which effectively validates the effect of early warning evaluation of project investment risk under this method. Journal: Int. J. of Sustainable Development Pages: 306-317 Issue: 3/4 Volume: 26 Year: 2023 Keywords: comprehensive simulation method; CRITIC method; expert subjective weight method; project investment risk; evaluation matrix. File-URL: http://www.inderscience.com/link.php?id=134410 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:306-317 Template-Type: ReDIF-Article 1.0 Author-Name: Quan Yin Author-X-Name-First: Quan Author-X-Name-Last: Yin Author-Name: Junqing Zhou Author-X-Name-First: Junqing Author-X-Name-Last: Zhou Author-Name: Yi Zhou Author-X-Name-First: Yi Author-X-Name-Last: Zhou Author-Name: Zhi-ping Li Author-X-Name-First: Zhi-ping Author-X-Name-Last: Li Title: Construction safety risk assessment method of construction engineering based on improved SVM Abstract: In this study, SVM was improved to complete the design of a building safety risk assessment method. This method selects the index to design the scientific evaluation system and completes the calculation of the index weight. Then, the support vector machine is improved and optimised. The judgement matrix is established according to the nine-level scale method, and it is standardised as the input of SVM, and the building safety risk assessment grade is output through the optimal hyperplane classification. The results show that the generalisation error of this method is between 0.034 and 0.053, and the evaluation time is between 1.5 h and 2.5 h, which can better evaluate the safety risk of engineering construction. Journal: Int. J. of Sustainable Development Pages: 329-343 Issue: 3/4 Volume: 26 Year: 2023 Keywords: architectural engineering; construction safety risk; risk assessment; Cauchy function; particle swarm optimisation algorithm; SVM. File-URL: http://www.inderscience.com/link.php?id=134411 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:329-343 Template-Type: ReDIF-Article 1.0 Author-Name: Liya Mo Author-X-Name-First: Liya Author-X-Name-Last: Mo Title: Evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm Abstract: In order to solve the problems of low evaluation accuracy, large quantitative error of indicators, and long evaluation time in traditional teaching effect evaluation methods, evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm was designed for college students' English reading teaching courses. Firstly, determine the evaluation indicators for the effect of English reading teaching for college students in intelligent classrooms. Secondly, the feature vector corresponding to the largest feature of the index is calculated, and the feature vector is quantised. Finally, based on the fuzzy set change algorithm, a fuzzy evaluation matrix is constructed to determine the grade of intelligent classroom teaching quality, construct an intelligent classroom teaching effect evaluation model, and obtain the evaluation results. The experimental results show that using this method can effectively improve the accuracy of intelligent classroom teaching evaluation. Journal: Int. J. of Sustainable Development Pages: 175-189 Issue: 3/4 Volume: 26 Year: 2023 Keywords: intelligent classroom; teaching English reading; evaluation method; weight; fuzzy evaluation model; level 1 evaluation index. File-URL: http://www.inderscience.com/link.php?id=134412 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:175-189 Template-Type: ReDIF-Article 1.0 Author-Name: Chengwang Lin Author-X-Name-First: Chengwang Author-X-Name-Last: Lin Title: Decision analysis method of knowledge economy management based on rough set algorithm Abstract: A decision analysis method of knowledge economy management based on rough set algorithm is designed in order to solve the problems of low recall rate and poor anti-interference of decision results in the economic management decision analysis method. First, rough set algorithm is used to establish data category label set after data reduction, and fuzzy classification is used to divide data categories. Then, the management decision analysis model is designed from four aspects of management. Finally, the proportion of the four management models in the overall decision-making system is calculated, and the comprehensive decision-making analysis results of knowledge economy management are obtained according to the empowerment situation. The experiment shows that the recall rate of decision results of this method is more than 95%, and the value of anti-interference factor is more than 0.950, which has good performance. Journal: Int. J. of Sustainable Development Pages: 206-225 Issue: 3/4 Volume: 26 Year: 2023 Keywords: knowledge economy; economic management decisions; data reduction; rough set algorithm. File-URL: http://www.inderscience.com/link.php?id=134413 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:206-225 Template-Type: ReDIF-Article 1.0 Author-Name: Chongyou Ruan Author-X-Name-First: Chongyou Author-X-Name-Last: Ruan Author-Name: Yiwen Ruan Author-X-Name-First: Yiwen Author-X-Name-Last: Ruan Title: Study on construction and application effect of the evaluation index system of college students' innovation and entrepreneurship ability Abstract: Aiming at the low accuracy rate and recall rate of the evaluation index system of innovation and entrepreneurship ability of college students, a new evaluation index system of innovation and entrepreneurship ability of college students is designed and the application effect is studied. Firstly, the capability evaluation index system was constructed according to the five principles and evaluation index system dimension. Then, the principal component analysis method was introduced, and the CRITIC method was adopted to calculate the weight and optimise the algorithm. The evaluation index system was optimised through the optimised algorithm. Finally, the numerical transformation was carried out to obtain the evaluation score and realise the evaluation. The experimental results show that the correlation coefficient of this method is 0.98, the evaluation accuracy rate is 96.5%, and the evaluation recall rate is 97.0%. The PR curve has a good performance, and it has a higher application value. Journal: Int. J. of Sustainable Development Pages: 226-242 Issue: 3/4 Volume: 26 Year: 2023 Keywords: innovation and entrepreneurship ability; principal component analysis; CRITIC method; contribution rate; weight. File-URL: http://www.inderscience.com/link.php?id=134414 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:226-242 Template-Type: ReDIF-Article 1.0 Author-Name: Hao Di Author-X-Name-First: Hao Author-X-Name-Last: Di Author-Name: Ping Li Author-X-Name-First: Ping Author-X-Name-Last: Li Title: Comprehensive evaluation of innovation and entrepreneurship ability in the context of sustainable development Abstract: In order to address issues related to poor reliability and accuracy in traditional evaluation methods, this paper proposes a comprehensive method for evaluating innovation and entrepreneurship capabilities within the context of sustainable development. This proposed method entails establishing a system for evaluating the influencing factors impacting sustainable development, followed by employing the Page Rank algorithm to compute the values of each node in the indicator. The indicator's influencing factors' weights are achieved through normalisation processing. Subsequently, a comprehensive evaluation function is constructed, and modifications are made to obtain the evaluation results, ultimately leading to a comprehensive evaluation of innovation and entrepreneurship capabilities. Results indicate that the evaluation method's reliability is 0.976, the evaluation accuracy reaches 99.3%, and the evaluation time takes only 7.9 seconds. Journal: Int. J. of Sustainable Development Pages: 291-305 Issue: 3/4 Volume: 26 Year: 2023 Keywords: document analysis method; principal component analysis method; innovation and entrepreneurship ability; third-level index weight. File-URL: http://www.inderscience.com/link.php?id=134415 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:291-305 Template-Type: ReDIF-Article 1.0 Author-Name: Bo Yu Author-X-Name-First: Bo Author-X-Name-Last: Yu Author-Name: Tao Yu Author-X-Name-First: Tao Author-X-Name-Last: Yu Title: Risk assessment method of transmission and transformation project cost based on Monte Carlo simulation Abstract: In order to improve the level of correlation coefficient and Matthews correlation coefficient of the evaluation results, a risk assessment method of transmission and transformation project cost based on Monte Carlo simulation is designed. Establish the project cost evaluation index system, and introduce the range standardisation method to standardise the evaluation index. The Monte Carlo simulation process is established based on the trigonometric distribution function, and the probability of the occurrence of different indicators is sampled and analysed. The weighted Euclidean distance method is used to calculate the fit between the cost risk status and the Monte Carlo simulation model, and the cost risk measurement is reflected according to the calculated value. The experimental results show that the maximum correlation coefficient of this method can reach 0.99, and the maximum Matthews correlation coefficient can reach 0.949, indicating that the evaluation result of this method is more reliable. Journal: Int. J. of Sustainable Development Pages: 278-290 Issue: 3/4 Volume: 26 Year: 2023 Keywords: project cost; cost trend; indicator system; Monte Carlo simulation; risk assessment. File-URL: http://www.inderscience.com/link.php?id=134416 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:278-290 Template-Type: ReDIF-Article 1.0 Author-Name: Chaoyong Jia Author-X-Name-First: Chaoyong Author-X-Name-Last: Jia Author-Name: Huaxi Chen Author-X-Name-First: Huaxi Author-X-Name-Last: Chen Author-Name: Wei Chu Author-X-Name-First: Wei Author-X-Name-Last: Chu Title: Service quality measurement of agricultural cold chain logistics supply chain based on grey clustering Abstract: In order to overcome the problems of poor accuracy, large error and long time consumption in traditional service measurement methods, this paper proposes a service quality measurement method of agricultural cold chain logistics supply chain based on grey clustering. Firstly, the measurement index system is designed and adjusted; Then, calculate the weight with TF-IDF method. Finally, determine the emotional tendency of the measured words based on SO-PMI algorithm, construct the service possibility function to determine the grey clustering coefficient of the evaluation index, and construct the clustering coefficient matrix to determine the grey class of the measured object, so as to realise the service quality measurement. The results show that the error of this method is only 0.06, the time consumption is 140 s shorter than that of the traditional method, and the accuracy can reach 98%, indicating that this method can improve the service measurement effect. Journal: Int. J. of Sustainable Development Pages: 256-277 Issue: 3/4 Volume: 26 Year: 2023 Keywords: grey clustering; TF-IDF method; SO-PMI algorithm; probability function; clustering coefficient matrix. File-URL: http://www.inderscience.com/link.php?id=134417 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:256-277 Template-Type: ReDIF-Article 1.0 Author-Name: Pei Hu Author-X-Name-First: Pei Author-X-Name-Last: Hu Title: Analysis of industrial transformation strategy of resource-based cities in the era of technological innovation Abstract: To enhance industrial transformation and development in resource-based municipalities and increase the conversion rate, this investigation assesses industrial transformation approaches in the age of technological advancement. Firstly, an innovation-propelled power model for industrial restructuring and upgrading is suggested. Secondly, impact indicators for industrial transformation in resource-based municipalities in the era of technological innovation are formulated, and the entropy weight TOPSIS methodology is utilised to generate a comprehensive evaluation indicator for assessment criteria and gauge the ensuing transformation level. Lastly, this study puts forward an industrial transformation strategy for resource-based municipalities and scrutinises its outcomes. The experimental findings certify that after employing this industrial transformation scheme, the conversion rate escalates to 95%, implying that this tactic can proficiently stimulate industrial transformation and development in resource-based municipalities. Journal: Int. J. of Sustainable Development Pages: 243-255 Issue: 3/4 Volume: 26 Year: 2023 Keywords: industrial transformation strategy; the era of technological innovation; resource-based city; decision matrix; entropy weight TOPSIS method. File-URL: http://www.inderscience.com/link.php?id=134418 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:243-255 Template-Type: ReDIF-Article 1.0 Author-Name: Lu Zhang Author-X-Name-First: Lu Author-X-Name-Last: Zhang Author-Name: Wanqing Chen Author-X-Name-First: Wanqing Author-X-Name-Last: Chen Author-Name: Hengzhi Nie Author-X-Name-First: Hengzhi Author-X-Name-Last: Nie Title: Prediction of economic benefits of market digital transformation based on federal learning algorithm Abstract: In order to solve the problems of low prediction accuracy and long prediction time existing in traditional methods for predicting the economic benefits of market digital transformation, a method for predicting the economic benefits of market digital transformation based on federal learning algorithm is proposed. Obtain the prediction indicators and build a prediction indicator system for the economic benefits of market digital transformation. Pre-process the indicator data using the principal component analysis method, build a sample dataset, build a federal optimisation algorithm using the random gradient descent method, establish a minimum loss function, build a prediction model for the economic benefits of market digital transformation, and output the prediction results. The experimental results show that the prediction accuracy of the proposed method can reach more than 95%, and the prediction time is always kept within 3 s, with good prediction effect and efficiency. Journal: Int. J. of Sustainable Development Pages: 190-205 Issue: 3/4 Volume: 26 Year: 2023 Keywords: federated learning algorithm; digital transformation of the market; economic performance; principal component analysis; random gradient descent method. File-URL: http://www.inderscience.com/link.php?id=134419 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:190-205 Template-Type: ReDIF-Article 1.0 Author-Name: Shijun Zhang Author-X-Name-First: Shijun Author-X-Name-Last: Zhang Title: Performance evaluation method of green supply chain management for sustainable development Abstract: A new approach has been proposed for evaluating the performance of green supply chain management for sustainable development. This approach consists of determining the necessary components of green supply chains, developing a comprehensive evaluation index system, evaluating the membership degree for each indicator using a triangular fuzzy function, creating a fuzzy judgment matrix, and establishing the weight of each indicator. Finally, utilising both a polynomial function and the radial basis function in the kernel function, a performance evaluation model for green supply chain management is constructed, and the results of the performance management evaluation are determined. The proposed method significantly reduces evaluation errors, greatly reduces the time and cost of evaluation process, and keeps the evaluation error below 1.0%. Journal: Int. J. of Sustainable Development Pages: 344-355 Issue: 3/4 Volume: 26 Year: 2023 Keywords: facing sustainable development; green supply chain; management performance evaluation; triangular ambiguity function; kernel function. File-URL: http://www.inderscience.com/link.php?id=134420 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:344-355 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Liu Author-X-Name-First: Wei Author-X-Name-Last: Liu Title: College English teaching reform and development direction in the internet era Abstract: In response to the problems of poor English grades and low learning efficiency among college students, a research method on teaching reform and development direction is proposed in the context of the internet era. Firstly, analyse the current problems in English teaching from multiple perspectives. Secondly, analyse the advantages of online English teaching and identify multiple directions for teaching reform and development, including the application of English film and television resources, strengthening extracurricular knowledge expansion, deepening curriculum reform, exploring efficient teaching models using internet technology, and strengthening the connection between English teaching content and the internet. Finally, the Boltzmann machine model is used to select appropriate teaching reform and development directions for universities based on their own situation. The example analysis results show that after the application of the method in this article, the learning score is always above 90 points, and the learning efficiency is always above 80%. Journal: Int. J. of Sustainable Development Pages: 163-174 Issue: 3/4 Volume: 26 Year: 2023 Keywords: internet era background; English teaching; academic record; internet teaching advantages. File-URL: http://www.inderscience.com/link.php?id=134421 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:163-174 Template-Type: ReDIF-Article 1.0 Author-Name: Heval Yildirim Author-X-Name-First: Heval Author-X-Name-Last: Yildirim Author-Name: Mélanie Requier-Desjardins Author-X-Name-First: Mélanie Author-X-Name-Last: Requier-Desjardins Author-Name: Hélène Rey-Valette Author-X-Name-First: Hélène Author-X-Name-Last: Rey-Valette Author-Name: Bernard Pecqueur Author-X-Name-First: Bernard Author-X-Name-Last: Pecqueur Title: Valuing ecosystem services within the territorial development approach: the ecosystem services basket in the Karaburun Peninsula (Turkey) Abstract: Our research aims to combine qualities from both of the ecosystem services (ES) and territorial development research communities. We will develop and test an operational research framework based on a new concept, the ES basket, and demonstrate the relevance of developing a non-monetary valuation approach based on multi-criteria indicators and perceptions. Our scope is to better characterise the potential valuation of agricultural ES through emblematic products. The ES basket aims at facilitating the recognition of ES through these products, and consequently collective action and the appropriation of changes towards better sustainability in agriculture. This methodological framework has been applied to a rural territory, the Karaburun Peninsula (Turkey), where ES baskets have been developed through the farming of two emblematic products, olives and narcissus. Our results may help identify the perspectives of territorial development and the supporting policies to be implemented for the valuation of ES baskets. Journal: Int. J. of Sustainable Development Pages: 1-21 Issue: 1 Volume: 26 Year: 2023 Keywords: ecosystem services basket; territorial development; rent; perception; governance; emblematic product; Karaburun Peninsula; Turkey. File-URL: http://www.inderscience.com/link.php?id=129142 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:1:p:1-21 Template-Type: ReDIF-Article 1.0 Author-Name: Ian Phil Canlas Author-X-Name-First: Ian Phil Author-X-Name-Last: Canlas Author-Name: Mageswary Karpudewan Author-X-Name-First: Mageswary Author-X-Name-Last: Karpudewan Title: The continuum of pro-environmental behaviour in the context of the value-belief-norm theory of environmentalism: implications towards sustainable development Abstract: This paper reports a systematic review of studies on pro-environmental behaviour anchored on the value-belief-norm theory of environmentalism extracted from the Scopus database and published between 1999 and the present. It aimed at determining the continuum of pro-environmental behaviour and study locale by examining context-themes of the same in the hope of determining research opportunities and future research directions. Results revealed that although the trend is increasing, the number of studies related to it still needs to grow. Among the categories of the context-themes that emerged include: 1) energy conservation; 2) green/sustainable consumption; 3) waste management; 4) green/sustainable tourism; 5) climate change mitigation and adaptation; 6) biodiversity conservation; 7) policy support; 8) pro-environmental behaviour in workplaces; 9) other minor emergent themes. Most locales were from western and highly developed countries. The later part of the paper reflects environmentalism in the context of the 2030 Agenda for Sustainable Development. Journal: Int. J. of Sustainable Development Pages: 22-50 Issue: 1 Volume: 26 Year: 2023 Keywords: value-belief-norm theory; pro-environmental behaviour; environmentalism; sustainable development; sustainable development goals; SDGs. File-URL: http://www.inderscience.com/link.php?id=129143 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:1:p:22-50 Template-Type: ReDIF-Article 1.0 Author-Name: Dramane Abdoulaye Author-X-Name-First: Dramane Author-X-Name-Last: Abdoulaye Title: Effects of democracy and natural resources on foreign direct investment in African natural resource-rich countries Abstract: This article aims to investigate the effects of democracy and natural resources on foreign direct investment (FDI) in African countries rich in natural resources. To this end, an econometric model was estimated using three methods, namely, fixed effects with sample heteroscedasticity correction, the instrumental variables method and the general method of moments, on a panel of 22 countries over the period 2000-2017. On the one hand, the results show that democracy has a positive effect on FDI. On the other hand, the analysis showed that natural resources do not help to attract FDI. Our findings suggest that concrete actions are needed in terms of strengthening and improving governance and democratic institutions to better attract FDI in African countries rich in natural resources. Journal: Int. J. of Sustainable Development Pages: 51-70 Issue: 1 Volume: 26 Year: 2023 Keywords: democracy; foreign direct investment; FDI; natural resources; panel data; Africa. File-URL: http://www.inderscience.com/link.php?id=129144 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:1:p:51-70 Template-Type: ReDIF-Article 1.0 Author-Name: Laurent Boinot Author-X-Name-First: Laurent Author-X-Name-Last: Boinot Author-Name: Jaime Diaz Author-X-Name-First: Jaime Author-X-Name-Last: Diaz Author-Name: Steffen Feuerpeil Author-X-Name-First: Steffen Author-X-Name-Last: Feuerpeil Author-Name: David Manoury Author-X-Name-First: David Author-X-Name-Last: Manoury Author-Name: Gayatri Rao Author-X-Name-First: Gayatri Author-X-Name-Last: Rao Title: Algorithms smarter than experts? AI methods applied to assessment of environmental risk of World Bank projects Abstract: Environmental and social risk assessment of investment projects can be enhanced using text analytics. For each project, the World Bank assesses environmental risks and prepares environmental and societal safeguards for mitigation before board approval. In this paper, we used data available at the time of board approval regarding the project objectives and project descriptions to predict the risk of failure. We demonstrate that a simple model of text analytics, which goes beyond regular assessment reports, unearths hidden patterns to improve the evaluation of environmental and social hazards. We recommend that the World Bank improves its non-financial risk assessment by adopting artificial intelligence techniques. We also propose that the World Bank integrates text analytics in its open data and artificial intelligence initiatives. Journal: Int. J. of Sustainable Development Pages: 71-85 Issue: 2 Volume: 26 Year: 2023 Keywords: environmental impact; international development; machine learning; non-financial risk assessment; big data for development; decision trees; natural language processing; text analytics; artificial intelligence; multilateral organisations; development banks. File-URL: http://www.inderscience.com/link.php?id=133605 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:2:p:71-85 Template-Type: ReDIF-Article 1.0 Author-Name: Faten Ben Slimane Author-X-Name-First: Faten Ben Author-X-Name-Last: Slimane Title: Stock exchanges and sustainability goals: a commitment to progress Abstract: The United Nations sustainable development goals (SDGs) were introduced in 2015 to achieve a more sustainable future for all. Individuals and entities from the public and private sectors are required to contribute to reaching these goals. This paper contributes to the nascent literature on this topic by investigating the contribution of stock exchanges to achieving the SDGs. Contrary to previous studies that focus on one or a few dimensions of the SDGs, we consider all 17 goals. Our analysis based on a large sample of 85 exchanges in the world shows that stock exchanges can contribute to the realisation of all the SDGs. This study shows exchange managers how they can make their commitment more effective and it highlights to governments and regulators the crucial role of stock exchanges in the transition to sustainability. Journal: Int. J. of Sustainable Development Pages: 86-101 Issue: 2 Volume: 26 Year: 2023 Keywords: stock exchanges; sustainable development goals; SDGs; sustainable finance; financial innovation. File-URL: http://www.inderscience.com/link.php?id=133606 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:2:p:86-101 Template-Type: ReDIF-Article 1.0 Author-Name: Koffi Yovo Author-X-Name-First: Koffi Author-X-Name-Last: Yovo Author-Name: Ismaila Ganiyou Author-X-Name-First: Ismaila Author-X-Name-Last: Ganiyou Title: Participation in the targeted subsidy program and fertiliser usage in Togo Abstract: Over the last decades, many African countries have reintroduced subsidy programs in an innovative form called 'smart subsidy'. In this context, Togo has implemented, from 2017 to 2019, a targeted fertiliser subsidy program. This article aims to assess the determinants and the effect of participation in the program. Using the instrumental variables approach, the analysis was carried out on data from nationwide surveys covering 2,319 agricultural households. The results show that determinants of access to the subsidy program are age, access to extension service, improved seeds use, possession of a mobile phone, and a short distance to the fertiliser point of sale. Moreover, participation in the subsidy program increases fertiliser use per hectare by 56%. However, this effect varies according to gender, age, and farm size. These findings have implications for better design and implementation of subsidy programs. The results suggest that to maximise the expected effects of the subsidy, the program should primarily target young household heads, female household heads, and households with small farm sizes. Journal: Int. J. of Sustainable Development Pages: 102-114 Issue: 2 Volume: 26 Year: 2023 Keywords: access; targeted subsidy; inorganic fertilisers; instrumental variables; Togo. File-URL: http://www.inderscience.com/link.php?id=133618 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:2:p:102-114 Template-Type: ReDIF-Article 1.0 Author-Name: Yihui Chen Author-X-Name-First: Yihui Author-X-Name-Last: Chen Author-Name: Hao Shi Author-X-Name-First: Hao Author-X-Name-Last: Shi Author-Name: Minjie Li Author-X-Name-First: Minjie Author-X-Name-Last: Li Title: Effects of factors on the attitude-behaviour gap for sustainable tea consumption in Fujian, China Abstract: Sustainable consumption is the consensus of human society and the inevitable choice to effectively realise sustainable development. In order to investigate the factors influencing sustainable consumption attitude (SCA), intention, behaviour, and the sustainable consumption attitude-behaviour gap (SCABG) through the structural equation model based on the partial least squares method (PLS-SEM), 391 consumer questionnaires from tea consumers in Fujian, a major oolong tea-producing region in China, were collected. We discovered that the SCABG was positively influenced by SCA and intention and negatively impacted by sustainable consumption behaviour. We looked at the effects that age, price, living conditions, and place of residence have on the attitude-behaviour gap surrounding sustainable consumption. Finally, targeted recommendations are made for sustainable tea consumption. Journal: Int. J. of Sustainable Development Pages: 115-139 Issue: 2 Volume: 26 Year: 2023 Keywords: sustainable consumption; attitude; intention; behaviour; tea consumption; attitude-behaviour gap; tea industry; partial least squares method; PLS-SEM; structural equation model; China. File-URL: http://www.inderscience.com/link.php?id=133620 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:2:p:115-139 Template-Type: ReDIF-Article 1.0 Author-Name: Zineb Abidi Author-X-Name-First: Zineb Author-X-Name-Last: Abidi Author-Name: Marc-Arthur Diaye Author-X-Name-First: Marc-Arthur Author-X-Name-Last: Diaye Title: On the optimal combination of corporate social responsibility practices of unlisted small and medium enterprises Abstract: There is an extensive empirical literature on the relationship between corporate social responsibility (CSR) and firms' financial performance. However, this literature mainly refers to large corporations and/or listed firms. This paper aims to investigate the impact of CSR on the financial performance of SMEs. Using an original database of 5,257 French SMEs, we show that the adoption of CSR practices has a positive but weak effect on their financial performance. To develop this further, we analysed the interactions of CSR practices to assess the best combination of CSR components that positively influence SMEs' financial performance. Our results show that French SMEs benefit more from their pro-social behaviour when they choose a combination of CSR components best suited to their characteristics. However, according to the literature, SMEs engage in fewer CSR activities than larger firms. Therefore, from an economic policy point of view, SMEs should be helped to understand the positive aspects of CSR, for example by facilitating certification and labelling or by strengthening inter-firm sponsorship operations in terms of CSR. Journal: Int. J. of Sustainable Development Pages: 140-160 Issue: 2 Volume: 26 Year: 2023 Keywords: SMEs; unlisted firms; corporate social responsibility; CSR; financial performance. File-URL: http://www.inderscience.com/link.php?id=133625 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijsusd:v:26:y:2023:i:2:p:140-160