Pub Date : 2024-12-21DOI: 10.1016/j.sftr.2024.100422
Abhinandan Kulal , S M Riha Parvin , Sahana Dinesh , Abhishek N , Niyaz Panakaje , Muhammad Ramzan
The primary purpose of the research is to develop and validate a comprehensive scale for measuring the adoption of digital currencies, aiming to provide a reliable tool for assessing the multifaceted nature of digital currency adoption. The methodology involved initial data collection through a pilot study with 35 participants in China, followed by focus group discussions with stakeholders to identify key factors influencing adoption. The findings of the study include the categorization of 64 statements into 15 groups, such as Perceived Benefits, Trust and Security, Regulatory Environment, and User Experience, providing a holistic understanding of the factors that drive digital currency adoption. The study emphasizes the importance of accurately measuring digital currency adoption to guide policy, practice, and future research in the field of digital finance. Limitations of the study include the focus on a specific geographical region (China), potentially limiting the generalizability of the findings. Future research directions include validating the Digital Currency Adoption Scale in diverse regions and conducting longitudinal studies to track adoption patterns over time. The original contribution of the study lies in the development of a comprehensive measurement scale for digital currency adoption, addressing a critical gap in understanding this evolving phenomenon.
{"title":"Developing a digital currency adoption scale: A validity and reliability study","authors":"Abhinandan Kulal , S M Riha Parvin , Sahana Dinesh , Abhishek N , Niyaz Panakaje , Muhammad Ramzan","doi":"10.1016/j.sftr.2024.100422","DOIUrl":"10.1016/j.sftr.2024.100422","url":null,"abstract":"<div><div>The primary purpose of the research is to develop and validate a comprehensive scale for measuring the adoption of digital currencies, aiming to provide a reliable tool for assessing the multifaceted nature of digital currency adoption. The methodology involved initial data collection through a pilot study with 35 participants in China, followed by focus group discussions with stakeholders to identify key factors influencing adoption. The findings of the study include the categorization of 64 statements into 15 groups, such as Perceived Benefits, Trust and Security, Regulatory Environment, and User Experience, providing a holistic understanding of the factors that drive digital currency adoption. The study emphasizes the importance of accurately measuring digital currency adoption to guide policy, practice, and future research in the field of digital finance. Limitations of the study include the focus on a specific geographical region (China), potentially limiting the generalizability of the findings. Future research directions include validating the Digital Currency Adoption Scale in diverse regions and conducting longitudinal studies to track adoption patterns over time. The original contribution of the study lies in the development of a comprehensive measurement scale for digital currency adoption, addressing a critical gap in understanding this evolving phenomenon.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100422"},"PeriodicalIF":3.3,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1016/j.sftr.2024.100419
Daniel Etse, Augustine Adu-Aboagye
The purpose of this study is to examine the influence of green organisational climate on green purchasing. Empirical data gathered from 278 hotels in Ghana, using the quantitative survey method were analysed using the structural equation technique, enabled by AMOS version 25. The findings suggest a significant positive effect of green organisational climate on green purchasing, with employee green behavioural intention, and corporate environmental communication respectively mediating and moderating the relationship. The fresh perspectives provided will hopefully extend understanding on the effects, processes and mechanisms by which green organisational climate influences corporate environmental initiatives, practices and outcomes.
{"title":"Effect of green organisational climate on green purchasing: The roles of employee green behavioural intentions and corporate environmental communication","authors":"Daniel Etse, Augustine Adu-Aboagye","doi":"10.1016/j.sftr.2024.100419","DOIUrl":"10.1016/j.sftr.2024.100419","url":null,"abstract":"<div><div>The purpose of this study is to examine the influence of green organisational climate on green purchasing. Empirical data gathered from 278 hotels in Ghana, using the quantitative survey method were analysed using the structural equation technique, enabled by AMOS version 25. The findings suggest a significant positive effect of green organisational climate on green purchasing, with employee green behavioural intention, and corporate environmental communication respectively mediating and moderating the relationship. The fresh perspectives provided will hopefully extend understanding on the effects, processes and mechanisms by which green organisational climate influences corporate environmental initiatives, practices and outcomes.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100419"},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1016/j.sftr.2024.100423
Mohamad Ali Saleh Saleh , Mutaz AlShafeey
The transformation to Industry 4.0 has significantly revolutionized manufacturing and production processes, raising important questions about their impact on sustainability. This study aims to explore the interplay between Industry 4.0 and the economic, social, and environmental dimensions of sustainability. The methodological approach includes advanced text-mining, sentiment analysis, and association rule-mining techniques to examine 6,759 abstracts from the Scopus database. The text mining highlighted frequent keywords related to Industry 4.0 and the three sustainability dimensions, characterized by “economic growth,” “circular economy,” “social responsibility,” “education 4.0,” “energy efficiency,” and “waste management.” Sentiment analysis revealed a predominantly positive perspective, with 2,608 positive sentiments out of 2,761 in the economic dimension, 1,604 out of 1,728 in the social dimension, and 1,352 out of 1,527 in the environmental dimension. The association rule mining uncovered the associations between Industry 4.0 and each sustainability dimension. The highest support was observed between Industry 4.0 and economic sustainability, with a support value of 0.444, confidence of 0.855, and a lift of 1.060. These findings highlight the role of Industry 4.0 in promoting resource efficiency and reducing waste through circular economy principles and advanced manufacturing technologies. For the social dimension, the analysis revealed a strong association with Industry 4.0 (support: 0.430, confidence: 0.831, lift: 1.030), emphasizing its role in enhancing worker safety and job satisfaction by automating hazardous tasks and creating new high-tech job opportunities. In the environmental dimension, a significant association was found (support: 0.380, confidence: 0.827, lift: 1.024), showing Industry 4.0′s contribution to sustainability through optimized energy consumption and emissions reduction as the integration of big data and IoT enables real-time monitoring of environmental impacts. The rule combining economic and social aspects with Industry 4.0 (support: 0.219, confidence: 0.87, lift: 1.078) highlights the interconnected nature of these dimensions, suggesting many studies consider economic and social dimensions together in the Industry 4.0 context.
{"title":"Examining the synergies between industry 4.0 and sustainability dimensions using text mining, sentiment analysis, and association rules","authors":"Mohamad Ali Saleh Saleh , Mutaz AlShafeey","doi":"10.1016/j.sftr.2024.100423","DOIUrl":"10.1016/j.sftr.2024.100423","url":null,"abstract":"<div><div>The transformation to Industry 4.0 has significantly revolutionized manufacturing and production processes, raising important questions about their impact on sustainability. This study aims to explore the interplay between Industry 4.0 and the economic, social, and environmental dimensions of sustainability. The methodological approach includes advanced text-mining, sentiment analysis, and association rule-mining techniques to examine 6,759 abstracts from the Scopus database. The text mining highlighted frequent keywords related to Industry 4.0 and the three sustainability dimensions, characterized by “economic growth,” “circular economy,” “social responsibility,” “education 4.0,” “energy efficiency,” and “waste management.” Sentiment analysis revealed a predominantly positive perspective, with 2,608 positive sentiments out of 2,761 in the economic dimension, 1,604 out of 1,728 in the social dimension, and 1,352 out of 1,527 in the environmental dimension. The association rule mining uncovered the associations between Industry 4.0 and each sustainability dimension. The highest support was observed between Industry 4.0 and economic sustainability, with a support value of 0.444, confidence of 0.855, and a lift of 1.060. These findings highlight the role of Industry 4.0 in promoting resource efficiency and reducing waste through circular economy principles and advanced manufacturing technologies. For the social dimension, the analysis revealed a strong association with Industry 4.0 (support: 0.430, confidence: 0.831, lift: 1.030), emphasizing its role in enhancing worker safety and job satisfaction by automating hazardous tasks and creating new high-tech job opportunities. In the environmental dimension, a significant association was found (support: 0.380, confidence: 0.827, lift: 1.024), showing Industry 4.0′s contribution to sustainability through optimized energy consumption and emissions reduction as the integration of big data and IoT enables real-time monitoring of environmental impacts. The rule combining economic and social aspects with Industry 4.0 (support: 0.219, confidence: 0.87, lift: 1.078) highlights the interconnected nature of these dimensions, suggesting many studies consider economic and social dimensions together in the Industry 4.0 context.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100423"},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The prevalence of credit constraints has a significant effect on the adoption of biofortified cassava; hence, low productivity on farms. This research, therefore, investigates the effect of credit constraints on the adoption of biofortified cassava (BC) among farming households. A multistage sampling procedure is employed to select 300 cassava farming households for this study. Data is analyzed using descriptive statistics, seemingly unrelated regression, and endogenous switching regression model. The results show that most of the household heads (78%) are not constrained by credit while 22% of respondents are constrained by credit. Out of the 22% that are constrained by credit, 7% are ‘quantity’ constrained (they receive partial credit) while 7.5% are both ‘risk’ (they choose not to submit their applications due to concerns about losing their collateral) and ‘price’ (they do not apply because of high interest rate) constrained. The seemingly unrelated regression model reveals that marital status, household size, years of education and farming experience significantly influenced quantity constraint status; while age, relationship with household head, farming experience and access to information are factors that contribute to the risk constraint status of farming households. The conditional treatment effect (ATT), which assesses the effect of credit constraints on the adoption of BC among farming households, is approximately -11.4 and is statistically significant at 1 %. The study finds that credit constraint has a negative impact on the adoption of BC among farming households in Nigeria after adjusting for both observable and unobserved factors. Therefore, the study recommends that innovative financing mechanisms should be leveraged to help promote the adoption of agricultural technologies such as BC. This will help to improve the nutrition, food security and income of farming households.
{"title":"Impact of credit constraints on adoption of biofortified food crop among farming households in Nigeria","authors":"Ayodeji Ogunleye , Deborah Olude , Ayodeji Kehinde , Victoria Tanimonure , Camillus Abawiera Wongnaa , Oluseyi Ajayi","doi":"10.1016/j.sftr.2024.100421","DOIUrl":"10.1016/j.sftr.2024.100421","url":null,"abstract":"<div><div>The prevalence of credit constraints has a significant effect on the adoption of biofortified cassava; hence, low productivity on farms. This research, therefore, investigates the effect of credit constraints on the adoption of biofortified cassava (BC) among farming households. A multistage sampling procedure is employed to select 300 cassava farming households for this study. Data is analyzed using descriptive statistics, seemingly unrelated regression, and endogenous switching regression model. The results show that most of the household heads (78%) are not constrained by credit while 22% of respondents are constrained by credit. Out of the 22% that are constrained by credit, 7% are ‘quantity’ constrained (they receive partial credit) while 7.5% are both ‘risk’ (they choose not to submit their applications due to concerns about losing their collateral) and ‘price’ (they do not apply because of high interest rate) constrained. The seemingly unrelated regression model reveals that marital status, household size, years of education and farming experience significantly influenced quantity constraint status; while age, relationship with household head, farming experience and access to information are factors that contribute to the risk constraint status of farming households. The conditional treatment effect (ATT), which assesses the effect of credit constraints on the adoption of BC among farming households, is approximately -11.4 and is statistically significant at 1 %. The study finds that credit constraint has a negative impact on the adoption of BC among farming households in Nigeria after adjusting for both observable and unobserved factors. Therefore, the study recommends that innovative financing mechanisms should be leveraged to help promote the adoption of agricultural technologies such as BC. This will help to improve the nutrition, food security and income of farming households.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100421"},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-18DOI: 10.1016/j.sftr.2024.100411
Xiaojing Liu , Wenyi Du , Toba Olasehinde , Yubing Fan
In the competitive landscape of supply chains, the strategic configuration of manufacturers and retailers has a significant impact on overall performance. This study analyzes three competitive structures in supply chain systems: centralized (CC), decentralized (DD), and hybrid (CD). This study optimizes retail prices and reduces carbon emissions by considering consumer preferences for low-carbon products. In the first supply chain, intense competition leads retailers to adopt a hybrid structure (CD), even when consumers prioritize low-carbon products. Manufacturers similarly opt for a hybrid model to balance production costs and carbon emissions. In the second supply chain, retailers prefer decentralization (DD) when consumer preference for low-carbon products is minimal. However, high consumer preference for low-carbon products results in the adoption of a hybrid structure to enhance overall production efficiency. As consumer low-carbon preferences increase, manufacturers shift from a centralized structure (CC) to a hybrid structure (CD) and eventually revert to a centralized structure. Our findings suggest that aligning supply chain structures with consumer preferences and competitive dynamics is crucial for achieving sustainable and profit-maximizing outcomes. The hybrid model is identified as a practical approach that balances economic efficiency with environmental sustainability.
{"title":"Balancing competition and sustainability: Strategic supply chain configurations in response to consumer low-carbon preferences","authors":"Xiaojing Liu , Wenyi Du , Toba Olasehinde , Yubing Fan","doi":"10.1016/j.sftr.2024.100411","DOIUrl":"10.1016/j.sftr.2024.100411","url":null,"abstract":"<div><div>In the competitive landscape of supply chains, the strategic configuration of manufacturers and retailers has a significant impact on overall performance. This study analyzes three competitive structures in supply chain systems: centralized (CC), decentralized (DD), and hybrid (CD). This study optimizes retail prices and reduces carbon emissions by considering consumer preferences for low-carbon products. In the first supply chain, intense competition leads retailers to adopt a hybrid structure (CD), even when consumers prioritize low-carbon products. Manufacturers similarly opt for a hybrid model to balance production costs and carbon emissions. In the second supply chain, retailers prefer decentralization (DD) when consumer preference for low-carbon products is minimal. However, high consumer preference for low-carbon products results in the adoption of a hybrid structure to enhance overall production efficiency. As consumer low-carbon preferences increase, manufacturers shift from a centralized structure (CC) to a hybrid structure (CD) and eventually revert to a centralized structure. Our findings suggest that aligning supply chain structures with consumer preferences and competitive dynamics is crucial for achieving sustainable and profit-maximizing outcomes. The hybrid model is identified as a practical approach that balances economic efficiency with environmental sustainability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100411"},"PeriodicalIF":3.3,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-18DOI: 10.1016/j.sftr.2024.100420
Ali Enes Dingil
In the last years, scholars explored various aspects of inclusivity concept within urban transportation planning, which is the web of interactions within the themes of transport equity conceptualization, social inclusion, transport geography, public health, and innovations. The collective insights from these diverse studies shed light on the multifaceted challenges and opportunities involved in designing transportation systems that are equitable, socially beneficial, and environmentally responsible. This study aims to consolidate these varied perspectives into a cohesive overview focusing on transport planning and policy-making through an umbrella review using ALARM framework. Through analysis and harmonization of common themes, divergences, and findings across the relevant literature as well as identifying crucial gaps and outlining insightful directions for future academic inquiry and policy formulation, this umbrella review offers a comprehensive understanding of the evolving dialogue on inclusive transportation.
{"title":"Fostering inclusive urban transportation in planning and policy-making: An umbrella review using ALARM methodology","authors":"Ali Enes Dingil","doi":"10.1016/j.sftr.2024.100420","DOIUrl":"10.1016/j.sftr.2024.100420","url":null,"abstract":"<div><div>In the last years, scholars explored various aspects of inclusivity concept within urban transportation planning, which is the web of interactions within the themes of transport equity conceptualization, social inclusion, transport geography, public health, and innovations. The collective insights from these diverse studies shed light on the multifaceted challenges and opportunities involved in designing transportation systems that are equitable, socially beneficial, and environmentally responsible. This study aims to consolidate these varied perspectives into a cohesive overview focusing on transport planning and policy-making through an umbrella review using ALARM framework. Through analysis and harmonization of common themes, divergences, and findings across the relevant literature as well as identifying crucial gaps and outlining insightful directions for future academic inquiry and policy formulation, this umbrella review offers a comprehensive understanding of the evolving dialogue on inclusive transportation.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100420"},"PeriodicalIF":3.3,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-17DOI: 10.1016/j.sftr.2024.100417
Stephen Obinozie Ogwu , Chukwuemeka Valentine Okolo , Busra Agan
The study examines the impact of debt burden, green financing, energy efficiency, and electrification on environmental sustainability in MINT and BRICS countries from 1990 to 2022. Using the Panel Quantile Autoregressive Distributed Lag (QARDL) model estimator, the analysis also includes robustness checks without control variables. The findings reveal that green financing, FDI, and energy efficiency reduce the carbon footprint, whereas debt burden, electrification, and GDP growth increase it in the short run, particularly in low- to mid-quantiles. Notably, the effect of debt burden is positive in the short run but becomes negative in the long run. The interaction terms highlight that the combined effects of energy efficiency and debt burden amplify the carbon footprint, while the interaction of green financing and electrification with debt suggests a cleaner energy transition when resources are efficiently allocated. These findings imply that green financing can effectively reduce the carbon footprint in MINT and BRICS nations, especially in the presence of economic growth and consistent FDI inflows. However, without economic growth and FDI, the debt burden in the MINT and BRICS economies tends to worsen the carbon footprint. The study recommends increasing green financing in renewable energy projects, energy-efficient appliances, sustainable transportation, green bonds, and climate change mitigation initiatives.
{"title":"The role of debt burden, green financing, and energy efficiency in reducing carbon footprints in MINT & BRICS economies: New evidence from panel QARDL method","authors":"Stephen Obinozie Ogwu , Chukwuemeka Valentine Okolo , Busra Agan","doi":"10.1016/j.sftr.2024.100417","DOIUrl":"10.1016/j.sftr.2024.100417","url":null,"abstract":"<div><div>The study examines the impact of debt burden, green financing, energy efficiency, and electrification on environmental sustainability in MINT and BRICS countries from 1990 to 2022. Using the Panel Quantile Autoregressive Distributed Lag (QARDL) model estimator, the analysis also includes robustness checks without control variables. The findings reveal that green financing, FDI, and energy efficiency reduce the carbon footprint, whereas debt burden, electrification, and GDP growth increase it in the short run, particularly in low- to mid-quantiles. Notably, the effect of debt burden is positive in the short run but becomes negative in the long run. The interaction terms highlight that the combined effects of energy efficiency and debt burden amplify the carbon footprint, while the interaction of green financing and electrification with debt suggests a cleaner energy transition when resources are efficiently allocated. These findings imply that green financing can effectively reduce the carbon footprint in MINT and BRICS nations, especially in the presence of economic growth and consistent FDI inflows. However, without economic growth and FDI, the debt burden in the MINT and BRICS economies tends to worsen the carbon footprint. The study recommends increasing green financing in renewable energy projects, energy-efficient appliances, sustainable transportation, green bonds, and climate change mitigation initiatives.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100417"},"PeriodicalIF":3.3,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-16DOI: 10.1016/j.sftr.2024.100418
Missal Khan , Abdul Majid , Afaq Ahmed
This study presents the perspective of developing countries regarding the potential role of green human capital (GHC) and green environmental strategic capabilities (GESC) in promoting circular economy practices (CEP) among manufacturing SMEs. Moreover, the dynamics of green environmental strategic assessment (GESA) were also explored which plays its role as a mediator in this empirical model. We have collected the data from 345 managers of 123 manufacturing enterprises, including plastic products, agriculture equipment, surgical instruments, auto parts, and gas appliances. With the objective of validating the suggested framework, the results of the study confirmed all the hypotheses developed to validate direct and indirect effects for this study. The results of the study provided guidelines to managers who have strategic control over available resources to focus on GHC, GESC and GESA if they want to promote CEP. By analyzing the proposed framework, this study concludes that these variables will ease the transition from linear economy to circular economy practices for manufacturing SMEs operating in developing countries.
{"title":"Circular economy practices in manufacturing SMEs: A perspective of environmental management in developing countries","authors":"Missal Khan , Abdul Majid , Afaq Ahmed","doi":"10.1016/j.sftr.2024.100418","DOIUrl":"10.1016/j.sftr.2024.100418","url":null,"abstract":"<div><div>This study presents the perspective of developing countries regarding the potential role of green human capital (GHC) and green environmental strategic capabilities (GESC) in promoting circular economy practices (CEP) among manufacturing SMEs. Moreover, the dynamics of green environmental strategic assessment (GESA) were also explored which plays its role as a mediator in this empirical model. We have collected the data from 345 managers of 123 manufacturing enterprises, including plastic products, agriculture equipment, surgical instruments, auto parts, and gas appliances. With the objective of validating the suggested framework, the results of the study confirmed all the hypotheses developed to validate direct and indirect effects for this study. The results of the study provided guidelines to managers who have strategic control over available resources to focus on GHC, GESC and GESA if they want to promote CEP. By analyzing the proposed framework, this study concludes that these variables will ease the transition from linear economy to circular economy practices for manufacturing SMEs operating in developing countries.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100418"},"PeriodicalIF":3.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-14DOI: 10.1016/j.sftr.2024.100412
Samira Shayanmehr , Samuel Asumadu-Sarkodie , Shida Rastegari Henneberry , Mahmoud Sabouhi Sabouni , Hosein Mohammadi , Riza Radmehr , Elvis Kwame Ofori , Naser Shahnoushi Foroushani
Climate change is likely to worsen Iran's food security system if no domestic adaptation or mitigation options are implemented. The main objective of this study is to examine the impact of market mechanisms on food security in Iran under climate change. To achieve this, we develop an integrated approach using Statistical Down-Scaling Model (SDSM), Positive Mathematical Programming (PMP), and spatial equilibrium multi-regional model (SEM). This approach is applied to the agro-ecological zones of Iran for the year 2030. The results indicate that climate change will threaten food availability in arid regions. However, the implementation of market mechanisms can help mitigate these effects, leading to an increase in social welfare by $580.94 and $578.00 million under Representative Concentration Pathway (RCP) 4.5 and RCP 8.5, respectively. Therefore, policies that support market mechanisms and promote regional and international trade are recommended to ensure food security.
{"title":"Market mechanisms and their role in sustainable food security: Adapting to climate change in arid regions","authors":"Samira Shayanmehr , Samuel Asumadu-Sarkodie , Shida Rastegari Henneberry , Mahmoud Sabouhi Sabouni , Hosein Mohammadi , Riza Radmehr , Elvis Kwame Ofori , Naser Shahnoushi Foroushani","doi":"10.1016/j.sftr.2024.100412","DOIUrl":"10.1016/j.sftr.2024.100412","url":null,"abstract":"<div><div>Climate change is likely to worsen Iran's food security system if no domestic adaptation or mitigation options are implemented. The main objective of this study is to examine the impact of market mechanisms on food security in Iran under climate change. To achieve this, we develop an integrated approach using Statistical Down-Scaling Model (SDSM), Positive Mathematical Programming (PMP), and spatial equilibrium multi-regional model (SEM). This approach is applied to the agro-ecological zones of Iran for the year 2030. The results indicate that climate change will threaten food availability in arid regions. However, the implementation of market mechanisms can help mitigate these effects, leading to an increase in social welfare by $580.94 and $578.00 million under Representative Concentration Pathway (RCP) 4.5 and RCP 8.5, respectively. Therefore, policies that support market mechanisms and promote regional and international trade are recommended to ensure food security.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100412"},"PeriodicalIF":3.3,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-14DOI: 10.1016/j.sftr.2024.100416
Kangkang Zhang
Interregional collaborative governance of carbon reduction (ICGCR) is essential for achieving carbon neutrality and fostering sustainable development. The digital economy plays a crucial role in advancing the ‘dual-carbon’ goal and fostering green, low-carbon, sustainable development amid the new information technology revolution. Nevertheless, empirical evidence on how the digital economy enhances the ICGCR remains limited. This study, based on urban behavioral choice theory, develops an indicator system for ICGCR, using the Beijing-Tianjin-Hebei region to explore the digital economy's impact on the ICGCR. It considers both internal and external influence paths and regulatory mechanisms from industrial and financial perspectives. Results indicate that the digital economy significantly enhances the ICGCR, particularly in passive ICGCR, the conclusion remains valid after robustness testing. The impact of the digital economy on the ICGCR varies significantly, with different pathways yielding distinct effects, influenced by industrial structure upgrades and financial development levels. This study enhances theoretical framework for the ICGCR, broadens research on the digital economy's impact on emissions, and offers valuable insights for promoting green, low-carbon sustainable development in a digital context.
{"title":"The driving effect of digital economy on interregional collaborative governance of carbon reduction: A case study of the Beijing-Tianjin-Hebei region","authors":"Kangkang Zhang","doi":"10.1016/j.sftr.2024.100416","DOIUrl":"10.1016/j.sftr.2024.100416","url":null,"abstract":"<div><div>Interregional collaborative governance of carbon reduction (ICGCR) is essential for achieving carbon neutrality and fostering sustainable development. The digital economy plays a crucial role in advancing the ‘dual-carbon’ goal and fostering green, low-carbon, sustainable development amid the new information technology revolution. Nevertheless, empirical evidence on how the digital economy enhances the ICGCR remains limited. This study, based on urban behavioral choice theory, develops an indicator system for ICGCR, using the Beijing-Tianjin-Hebei region to explore the digital economy's impact on the ICGCR. It considers both internal and external influence paths and regulatory mechanisms from industrial and financial perspectives. Results indicate that the digital economy significantly enhances the ICGCR, particularly in passive ICGCR, the conclusion remains valid after robustness testing. The impact of the digital economy on the ICGCR varies significantly, with different pathways yielding distinct effects, influenced by industrial structure upgrades and financial development levels. This study enhances theoretical framework for the ICGCR, broadens research on the digital economy's impact on emissions, and offers valuable insights for promoting green, low-carbon sustainable development in a digital context.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100416"},"PeriodicalIF":3.3,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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