Pub Date : 2022-07-19DOI: 10.1080/19397038.2022.2101706
M. Shahidzadeh, Sajjad Shokouhyar
ABSTRACT Growing population leads to generating more waste and depletion of natural resources. Moreover, the cost of supplying some resources has increased substantially. Hence, the manufacturer is trying to focus on planning to get back old or partially/wholly unusable products and make the best disposition decisions on them. This research aims to build a multi-industry applied model using the deep learning method in social media analysis to make the best decision for returning products in reverse logistics, along with the sustainability and circular economy concerns. Furthermore, we outline the usage of social network analytics in aligning consumers’ expectations with supply chain policies, strategies, and decisions. An industry benchmark concerning circular economy concepts can be attained by applying the proposed model to different industries. We have proposed a generalisable model using social media analytics, consumer sentiment analysis, reverse logistics, and circular economy theory to attain a circular supply chain regarding sustainability concerns. Applying the proposed model to the electronics industry as a case study, the model was further validated with Twitter data analysis of developing versus developed countries for laptop devices. We collected over 70-million tweets using the Twitter Application Programming Interface (API) over fifteen months. The results approved the proposed model by leveraging the Twitter geolocation attribute to extract Twitter data from developing and developed countries. Moreover, the model is general enough to be used on various industries’ supply chains and provides managers and policymakers with deep insight into reverse logistics’ decision-making. It would be interesting to use real-time analytics and improve accuracy in future works. We made original contributions to reverse logistics decision-making in the circular economy context. Previous research, which has focused on supply chain decision-making, has been extended by providing theoretical and practical implications for social media analytics and the circular economy ecosystem. Thus, by scrutinising the consumers’ needs and expectations, we suggested the best decision on returned products to close an open-ended supply chain and achieve a circular economy. Furthermore, we derived industry benchmarks for both developing and developed countries separately. The results showed that the best decision on returning products in developing countries is different from developed countries. We advise top managers and policymakers to improve supply chain sustainability using social media analytics in developing and developed countries to substantially optimise waste and companies’ profits.
{"title":"Shedding light on the reverse logistics’ decision-making: a social-media analytics study of the electronics industry in developing vs developed countries","authors":"M. Shahidzadeh, Sajjad Shokouhyar","doi":"10.1080/19397038.2022.2101706","DOIUrl":"https://doi.org/10.1080/19397038.2022.2101706","url":null,"abstract":"ABSTRACT Growing population leads to generating more waste and depletion of natural resources. Moreover, the cost of supplying some resources has increased substantially. Hence, the manufacturer is trying to focus on planning to get back old or partially/wholly unusable products and make the best disposition decisions on them. This research aims to build a multi-industry applied model using the deep learning method in social media analysis to make the best decision for returning products in reverse logistics, along with the sustainability and circular economy concerns. Furthermore, we outline the usage of social network analytics in aligning consumers’ expectations with supply chain policies, strategies, and decisions. An industry benchmark concerning circular economy concepts can be attained by applying the proposed model to different industries. We have proposed a generalisable model using social media analytics, consumer sentiment analysis, reverse logistics, and circular economy theory to attain a circular supply chain regarding sustainability concerns. Applying the proposed model to the electronics industry as a case study, the model was further validated with Twitter data analysis of developing versus developed countries for laptop devices. We collected over 70-million tweets using the Twitter Application Programming Interface (API) over fifteen months. The results approved the proposed model by leveraging the Twitter geolocation attribute to extract Twitter data from developing and developed countries. Moreover, the model is general enough to be used on various industries’ supply chains and provides managers and policymakers with deep insight into reverse logistics’ decision-making. It would be interesting to use real-time analytics and improve accuracy in future works. We made original contributions to reverse logistics decision-making in the circular economy context. Previous research, which has focused on supply chain decision-making, has been extended by providing theoretical and practical implications for social media analytics and the circular economy ecosystem. Thus, by scrutinising the consumers’ needs and expectations, we suggested the best decision on returned products to close an open-ended supply chain and achieve a circular economy. Furthermore, we derived industry benchmarks for both developing and developed countries separately. The results showed that the best decision on returning products in developing countries is different from developed countries. We advise top managers and policymakers to improve supply chain sustainability using social media analytics in developing and developed countries to substantially optimise waste and companies’ profits.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"161 - 176"},"PeriodicalIF":3.7,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42767135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-07DOI: 10.1080/19397038.2022.2097457
Bora Ly, Romy Ly
ABSTRACT Individuals need to adopt energy-saving behaviours to reduce energy consumption and carbon emissions. This study examines how energy-saving behaviour is determined at workplaces. A quantitative method was applied in this study. A research instrument was constructed to investigate (391 participants) the determinants of Cambodian public intentions and behaviours under the extended theory of planned behaviour (TPB). Personal moral norms are considered in the model when engaging in such pro-environmental activities. The data was analysed using PLS-SEM. The results show that energy-saving attitudes, subjective norms, perceived behaviour control, and personal moral norms significantly impact workplace energy-saving intentions. Also, results indicated that adding personal moral norms to the TPB model increases its explanatory power. Additionally, the findings contribute to the field of environmental psychology and environmental behaviour in an emerging region.
{"title":"Saving energy in the workplace: evidence from Cambodia","authors":"Bora Ly, Romy Ly","doi":"10.1080/19397038.2022.2097457","DOIUrl":"https://doi.org/10.1080/19397038.2022.2097457","url":null,"abstract":"ABSTRACT Individuals need to adopt energy-saving behaviours to reduce energy consumption and carbon emissions. This study examines how energy-saving behaviour is determined at workplaces. A quantitative method was applied in this study. A research instrument was constructed to investigate (391 participants) the determinants of Cambodian public intentions and behaviours under the extended theory of planned behaviour (TPB). Personal moral norms are considered in the model when engaging in such pro-environmental activities. The data was analysed using PLS-SEM. The results show that energy-saving attitudes, subjective norms, perceived behaviour control, and personal moral norms significantly impact workplace energy-saving intentions. Also, results indicated that adding personal moral norms to the TPB model increases its explanatory power. Additionally, the findings contribute to the field of environmental psychology and environmental behaviour in an emerging region.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"153 - 160"},"PeriodicalIF":3.7,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41681593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT In this research work, the design and development of false ceiling board composite from unsaturated polyester with pineapple leaf fibre reinforcement are discussed. The composite material was developed by the hand lay-up method according to the proportion of the fibre and the resin. The reinforced material is used at the fabric stage, and the structure of the fabric is plain mat weave. Hence, the optimum proportion of the raw materials was identified by using central composite design and the best results were 30 % reinforcement and 70 % resin with respect to the better value of physio-mechanical properties of the composite material characterised such as tensile strength, compressive strength, bending strength, water absorption and void fraction. The result showed that the maximum tensile strength is 43.13 N/mm2, the compressive strength is 39.78 N/mm2, the bending strength is 38.65 N/mm2, the minimum water absorbency is 2.52 % and the void fraction is 1.1 %.
{"title":"Design and development of false ceiling board composite material using pineapple leaf Fibre reinforcement in unsaturated polyester matrix","authors":"Yerdawu Zeleke, Temesgen Feleke, Worku Tegegn, Yilkal Atinaf","doi":"10.1080/19397038.2022.2097456","DOIUrl":"https://doi.org/10.1080/19397038.2022.2097456","url":null,"abstract":"ABSTRACT In this research work, the design and development of false ceiling board composite from unsaturated polyester with pineapple leaf fibre reinforcement are discussed. The composite material was developed by the hand lay-up method according to the proportion of the fibre and the resin. The reinforced material is used at the fabric stage, and the structure of the fabric is plain mat weave. Hence, the optimum proportion of the raw materials was identified by using central composite design and the best results were 30 % reinforcement and 70 % resin with respect to the better value of physio-mechanical properties of the composite material characterised such as tensile strength, compressive strength, bending strength, water absorption and void fraction. The result showed that the maximum tensile strength is 43.13 N/mm2, the compressive strength is 39.78 N/mm2, the bending strength is 38.65 N/mm2, the minimum water absorbency is 2.52 % and the void fraction is 1.1 %.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"144 - 152"},"PeriodicalIF":3.7,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45351565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT Reasons for recycling of waste include conservation of resources, reduction in the need for landfills, paying associated tipping fees and provision of low-cost raw materials for products. A high-speed weaving machine generates a high amount of selvedge wastes. In this study, stitch-bonded non-woven samples were developed by recycling woven fabric selvedge wastes. Selvedge wastes were collected from the weaving department and changed to fibre by using a fabric opener. The fibres are carded by a mechanical carding machine. Non-woven samples were developed, and sound absorption coefficients were measured by an impedance tube according to the ASTM E 1050 standard. The test result shows that the sound absorption coefficient increased with an increasing frequency level of 0 Hz, 500 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 2500 Hz and 3000 Hz. The sound absorption property of all stitch-bonded samples was increased with increasing frequency. Similarly, the sound-absorbing property also increases with the increase in the thickness. The larger the density, the higher the number of fibres per unit area. Structures with less density and open pores absorb the sound with a low frequency of 500 Hz. Structures with high fibre density have better absorbency for frequency levels above 2000 Hz. The air permeability property of the developed sample decreases the sound-absorbing performance.
垃圾回收利用的原因包括节约资源、减少填埋需求、支付相关的倾倒费以及为产品提供低成本的原材料。高速织布机会产生大量的边沿废料。本研究利用机织物边角料的回收利用，研制了缝粘无纺布样品。从织造部门收集边沿废料，用开布器将其转化为纤维。这些纤维是用机械梳理机梳理的。制作无纺布样品，根据ASTM E 1050标准用阻抗管测量吸声系数。试验结果表明，在0 Hz、500 Hz、1000 Hz、1500 Hz、2000 Hz、2500 Hz和3000 Hz的频率水平上，吸声系数随频率水平的增加而增大。随着频率的增加，所有缝接样品的吸声性能都有所提高。同样，吸声性能也随着厚度的增加而增加。密度越大，单位面积的纤维数量越多。密度小、孔隙开放的结构吸收500赫兹的低频声音。纤维密度高的结构对2000赫兹以上的频率有更好的吸收性。显影样品的透气性降低了吸声性能。
{"title":"Development of non-woven from recycled fabric selvedge wastes for functional sound absorption","authors":"Temesggen Feleke Fera, Yerdawu Zeleke, Yohannes Girmay","doi":"10.1080/19397038.2022.2092230","DOIUrl":"https://doi.org/10.1080/19397038.2022.2092230","url":null,"abstract":"ABSTRACT Reasons for recycling of waste include conservation of resources, reduction in the need for landfills, paying associated tipping fees and provision of low-cost raw materials for products. A high-speed weaving machine generates a high amount of selvedge wastes. In this study, stitch-bonded non-woven samples were developed by recycling woven fabric selvedge wastes. Selvedge wastes were collected from the weaving department and changed to fibre by using a fabric opener. The fibres are carded by a mechanical carding machine. Non-woven samples were developed, and sound absorption coefficients were measured by an impedance tube according to the ASTM E 1050 standard. The test result shows that the sound absorption coefficient increased with an increasing frequency level of 0 Hz, 500 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 2500 Hz and 3000 Hz. The sound absorption property of all stitch-bonded samples was increased with increasing frequency. Similarly, the sound-absorbing property also increases with the increase in the thickness. The larger the density, the higher the number of fibres per unit area. Structures with less density and open pores absorb the sound with a low frequency of 500 Hz. Structures with high fibre density have better absorbency for frequency levels above 2000 Hz. The air permeability property of the developed sample decreases the sound-absorbing performance.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"136 - 143"},"PeriodicalIF":3.7,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48000298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-06DOI: 10.1080/19397038.2022.2084174
I. Oladele, Li Onuh, A. S. Taiwo, Sunday G. Borisade, N. I. Agbeboh, S. Lephuthing
ABSTRACT This research investigates the effects of snail shell-based hydroxyapatite (HAp) reinforcements on the mechanical, wear, and selected physical properties of epoxy-based composites. The exploitation of these properties was aimed at assessing the suitability and efficiency of the developed bio-composites for adhesive biomedical applications. Snail shell wastes were sourced and processed to obtain (HAp) particles of ˂20 μm. The bio-derived hydroxyapatite-based epoxy composites were produced using the stir-cast method by mixing the hydroxyapatite with the epoxy resin and hardener before pouring into the moulds where they are allowed to cure. Scanning Electron Microscope (SEM) and X-ray Diffraction (XRD) of the snail shell hydroxyapatite particles were carried out while mechanical, wear, and physical properties of the developed composites were evaluated. SEM images of the fracture surfaces were also examined. The results showed that enhancements occurred from the addition of snail shell-derived HAp to epoxy resin in the developed composites. The results revealed that most of the properties gave their optimum values when 15 wt.% reinforcement was used. At this weight fraction, optimum values were obtained which include 43 MPa for maximum flexural strength, 40HS for hardness, 40 J for impact, 0.35 W/mK for thermal conductivity, and 0.07 for wear index.
{"title":"Mechanical, wear and thermal conductivity characteristics of snail shell-derived hydroxyapatite reinforced epoxy bio-composites for adhesive biomaterials applications","authors":"I. Oladele, Li Onuh, A. S. Taiwo, Sunday G. Borisade, N. I. Agbeboh, S. Lephuthing","doi":"10.1080/19397038.2022.2084174","DOIUrl":"https://doi.org/10.1080/19397038.2022.2084174","url":null,"abstract":"ABSTRACT This research investigates the effects of snail shell-based hydroxyapatite (HAp) reinforcements on the mechanical, wear, and selected physical properties of epoxy-based composites. The exploitation of these properties was aimed at assessing the suitability and efficiency of the developed bio-composites for adhesive biomedical applications. Snail shell wastes were sourced and processed to obtain (HAp) particles of ˂20 μm. The bio-derived hydroxyapatite-based epoxy composites were produced using the stir-cast method by mixing the hydroxyapatite with the epoxy resin and hardener before pouring into the moulds where they are allowed to cure. Scanning Electron Microscope (SEM) and X-ray Diffraction (XRD) of the snail shell hydroxyapatite particles were carried out while mechanical, wear, and physical properties of the developed composites were evaluated. SEM images of the fracture surfaces were also examined. The results showed that enhancements occurred from the addition of snail shell-derived HAp to epoxy resin in the developed composites. The results revealed that most of the properties gave their optimum values when 15 wt.% reinforcement was used. At this weight fraction, optimum values were obtained which include 43 MPa for maximum flexural strength, 40HS for hardness, 40 J for impact, 0.35 W/mK for thermal conductivity, and 0.07 for wear index.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"122 - 135"},"PeriodicalIF":3.7,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45421321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-06DOI: 10.1080/19397038.2022.2080888
Farnaz Sadat Hashemi Sohi, S. Mansour, Amin Dehghanian
ABSTRACT Today, in addition to economic issues, companies face social and environmental challenges in designing their products to stay in a competitive world. One of the essential steps in product sustainability is material selection. Determining the optimal combination of materials to make multi-component products is complicated because there are several material alternatives for each component. In this paper, an integer programming approach is proposed to select materials for products that are composed of many components. In this model, several issues are integrated and solved simultaneously: material selection, supplier selection, manufacturing process selection, assembly process selection, and end-of-life option determination. The objectives of this model are to minimise the producer’s cost and the environmental impact through the entire product life cycle. In order to validate the proposed model, a case study has been conducted in the automotive industry. Finally, by sensitivity analyses, weight reduction on cost and environmental impact has been investigated. The results indicate that lightweight materials are not always the best option in terms of environmental consideration.
{"title":"Multi-objective optimization for selecting sustainable materials with simultaneous consideration of several components in a product","authors":"Farnaz Sadat Hashemi Sohi, S. Mansour, Amin Dehghanian","doi":"10.1080/19397038.2022.2080888","DOIUrl":"https://doi.org/10.1080/19397038.2022.2080888","url":null,"abstract":"ABSTRACT Today, in addition to economic issues, companies face social and environmental challenges in designing their products to stay in a competitive world. One of the essential steps in product sustainability is material selection. Determining the optimal combination of materials to make multi-component products is complicated because there are several material alternatives for each component. In this paper, an integer programming approach is proposed to select materials for products that are composed of many components. In this model, several issues are integrated and solved simultaneously: material selection, supplier selection, manufacturing process selection, assembly process selection, and end-of-life option determination. The objectives of this model are to minimise the producer’s cost and the environmental impact through the entire product life cycle. In order to validate the proposed model, a case study has been conducted in the automotive industry. Finally, by sensitivity analyses, weight reduction on cost and environmental impact has been investigated. The results indicate that lightweight materials are not always the best option in terms of environmental consideration.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"107 - 121"},"PeriodicalIF":3.7,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47350196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-20DOI: 10.1080/19397038.2022.2065704
Bora Ly, Romy Ly
ABSTRACT The waste produced swings regardless of individual consumption patterns and social norm variations. People have been required to adapt their everyday dynamics due to the current context imposed by the Covid-19 outbreak. These adaptations in tradition have undoubtedly impacted the environment regarding waste generation and management. Hence, reducing the environmental harm of residential waste through waste segregation and handling is a practical approach. This work used a quantitative method and constructed a research instrument to investigate (398 participants) the determinants influencing Cambodian waste separating intentions and behaviours using the theory of planned behaviour (TPB) during the Covid-19 pandemic. The data was collected and analysed using PLS-SEM. The findings suggested that attitudes, social norms, and moral norms significantly impacted the intention to engage in waste separation and, hence, waste separation behaviour. In addition, the intention construct was found to be the most significant determinant of Cambodian social explicit waste sorting behaviour, suggesting that enhancing the intention of waste separation practice substantially affects waste separation behaviour.
{"title":"Waste sorting practices of cambodians during covid-19","authors":"Bora Ly, Romy Ly","doi":"10.1080/19397038.2022.2065704","DOIUrl":"https://doi.org/10.1080/19397038.2022.2065704","url":null,"abstract":"ABSTRACT The waste produced swings regardless of individual consumption patterns and social norm variations. People have been required to adapt their everyday dynamics due to the current context imposed by the Covid-19 outbreak. These adaptations in tradition have undoubtedly impacted the environment regarding waste generation and management. Hence, reducing the environmental harm of residential waste through waste segregation and handling is a practical approach. This work used a quantitative method and constructed a research instrument to investigate (398 participants) the determinants influencing Cambodian waste separating intentions and behaviours using the theory of planned behaviour (TPB) during the Covid-19 pandemic. The data was collected and analysed using PLS-SEM. The findings suggested that attitudes, social norms, and moral norms significantly impacted the intention to engage in waste separation and, hence, waste separation behaviour. In addition, the intention construct was found to be the most significant determinant of Cambodian social explicit waste sorting behaviour, suggesting that enhancing the intention of waste separation practice substantially affects waste separation behaviour.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"98 - 106"},"PeriodicalIF":3.7,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49075667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-04DOI: 10.1080/19397038.2022.2059590
Yulin Zhao, Junke Li, Kai Liu, Jiang’e Wang
ABSTRACT Cities play an essential role in promoting the development of the whole national economy. Many scholars have proposed different methods to study this problem, but all have ignored the critical influence of network attention on the economy. Therefore, this study uses big Network data to profoundly analyse the relationship between urban spatial development and economic growth in eastern, central, and western China, further study this issue, and provide theoretical support for urban economic development. This study first divides China into three regions: eastern, central, and western, then selects the indicators of the national economy and urban development from 2014 to 2019, and finally constructs a panel regression model to explore the relationship between urban space elements and national economic development. The results show that China’s national economic development is closely related to spatial factors such as urban transportation, environment, science and technology, energy consumption, and housing price. These findings will help to make full use of the natural advantages of each region and guide the rational planning of the urban economy. This study provides references for urban development planning and industrial transfer in various regions of China and offers feasible suggestions for China’s overall national economic growth.
{"title":"The influence and analysis of urban spatial elements on national economic development","authors":"Yulin Zhao, Junke Li, Kai Liu, Jiang’e Wang","doi":"10.1080/19397038.2022.2059590","DOIUrl":"https://doi.org/10.1080/19397038.2022.2059590","url":null,"abstract":"ABSTRACT Cities play an essential role in promoting the development of the whole national economy. Many scholars have proposed different methods to study this problem, but all have ignored the critical influence of network attention on the economy. Therefore, this study uses big Network data to profoundly analyse the relationship between urban spatial development and economic growth in eastern, central, and western China, further study this issue, and provide theoretical support for urban economic development. This study first divides China into three regions: eastern, central, and western, then selects the indicators of the national economy and urban development from 2014 to 2019, and finally constructs a panel regression model to explore the relationship between urban space elements and national economic development. The results show that China’s national economic development is closely related to spatial factors such as urban transportation, environment, science and technology, energy consumption, and housing price. These findings will help to make full use of the natural advantages of each region and guide the rational planning of the urban economy. This study provides references for urban development planning and industrial transfer in various regions of China and offers feasible suggestions for China’s overall national economic growth.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"86 - 97"},"PeriodicalIF":3.7,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43412637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1080/19397038.2022.2053606
R. Sala-Garrido, Manuel Mocholí-Arce, M. Molinos-Senante, A. Maziotis
ABSTRACT Moving towards a circular and sustainable economy requires improving the management of municipal solid waste (MSW) increasing recycling rates while minimising unsorted waste and operational costs. It is essential to evaluate the economic and environmental efficiency of MSW services. Previous studies focused on developed countries and employed radial parametric and non-parametric methods. By contrast, this study assessed the technical efficiency, environmental efficiency and eco-efficiency of several Chilean municipalities employing the non-radial range adjusted measure approach. A second stage of assessment was conducted to explore the influence of a set of environmental variables on efficiency scores. Results revealed that the evaluated Chilean municipalities performed poorly from a technical perspective since the average technical efficiency score was 0.484. By contrast, average environmental efficiency and eco-efficiency scores were 0.899 and 0.922, respectively. Nevertheless, the percentage of eco-efficient municipalities was lower than 1%. It was also found that tourism had a major and negative impact on all types of efficiency. By contrast, population density had a significant and positive impact on environmental efficiency. The assessment of three types of efficiency provides relevant information to policymakers to define specific strategies to improve MSW management according to sustainability and circular economic objectives.
{"title":"Measuring technical, environmental and eco-efficiency in municipal solid waste management in Chile","authors":"R. Sala-Garrido, Manuel Mocholí-Arce, M. Molinos-Senante, A. Maziotis","doi":"10.1080/19397038.2022.2053606","DOIUrl":"https://doi.org/10.1080/19397038.2022.2053606","url":null,"abstract":"ABSTRACT Moving towards a circular and sustainable economy requires improving the management of municipal solid waste (MSW) increasing recycling rates while minimising unsorted waste and operational costs. It is essential to evaluate the economic and environmental efficiency of MSW services. Previous studies focused on developed countries and employed radial parametric and non-parametric methods. By contrast, this study assessed the technical efficiency, environmental efficiency and eco-efficiency of several Chilean municipalities employing the non-radial range adjusted measure approach. A second stage of assessment was conducted to explore the influence of a set of environmental variables on efficiency scores. Results revealed that the evaluated Chilean municipalities performed poorly from a technical perspective since the average technical efficiency score was 0.484. By contrast, average environmental efficiency and eco-efficiency scores were 0.899 and 0.922, respectively. Nevertheless, the percentage of eco-efficient municipalities was lower than 1%. It was also found that tourism had a major and negative impact on all types of efficiency. By contrast, population density had a significant and positive impact on environmental efficiency. The assessment of three types of efficiency provides relevant information to policymakers to define specific strategies to improve MSW management according to sustainability and circular economic objectives.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"15 1","pages":"71 - 85"},"PeriodicalIF":3.7,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43669312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-24DOI: 10.1080/19397038.2022.2042619
Ramads Thekkoote
ABSTRACT To make small and medium enterprises (SMEs) competitive, they not merely concentrate the results of the operational measures and combine the environmental dimension by adopting lean and green models together. The present literature study proves that lean activities in SMEs have a direct positive effect on green and sustainable practices. However, the combined effect of sustainable, lean, and green has not been investigated empirically. This paper aims to identify the relationship between lean, green, and sustainable practices for environmental development economic efficiency among small and medium-sized enterprises. The structural equation modelling technique was used to examine the direct effect of lean practices on sustainability, with green manufacturing as the mediating variable. The research depends on the collection of data from 210 manufacturing organisations. The result of the study indicates that lean practices directly affect sustainability and confirm that green manufacturing is a significant mediating parameter. These findings will be used to establish a comprehensive model for the sustainable lean, green system to direct small and medium-sized enterprises to achieve sustainable development. The research results can benefit in making the policies for industrial professionals on (SMEs) by focusing on critical issues to help implement and evaluate sustainable, lean, and green practices
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