Persistent high unemployment in South Africa rendered many in the informal economy structurally vulnerable to shocks such as the COVID‐19 pandemic. The social relief of distress (SRD) grant was a government attempt to alleviate the pandemic's fallout. Given the lack of scholarly information on the impact and reach of the SRD grant within the informal economy, particularly on day labourers, this study investigates the impact of the SRD grant on the lives and livelihoods of South African day labourers in Tshwane, South Africa. The study adopted a qualitative research design, utilising in depth interviews, transcription, inductive qualitative coding and thematic analysis. Many day labourers could not access the SRD grant due to, for example the loss or absence of identity documents, and/or lack of Internet access and information on the application process. For those who received it, some pressure relating to the cost of transport and basic needs was alleviated. Occasionally, day labourers use it to supplement other funds to acquire specialised tools. Importantly, the grant was not a disincentive to continue their work‐seeking activities. The findings question the effectiveness of policy responses to economic crises within the informal sector.
{"title":"It was better before COVID: The impact of the social relief of distress grant on the lives and livelihoods of South African day labourers in Tshwane","authors":"Lodewalt Venter, D. Blaauw, C. Claassen","doi":"10.1111/issj.12497","DOIUrl":"https://doi.org/10.1111/issj.12497","url":null,"abstract":"Persistent high unemployment in South Africa rendered many in the informal economy structurally vulnerable to shocks such as the COVID‐19 pandemic. The social relief of distress (SRD) grant was a government attempt to alleviate the pandemic's fallout. Given the lack of scholarly information on the impact and reach of the SRD grant within the informal economy, particularly on day labourers, this study investigates the impact of the SRD grant on the lives and livelihoods of South African day labourers in Tshwane, South Africa. The study adopted a qualitative research design, utilising in depth interviews, transcription, inductive qualitative coding and thematic analysis. Many day labourers could not access the SRD grant due to, for example the loss or absence of identity documents, and/or lack of Internet access and information on the application process. For those who received it, some pressure relating to the cost of transport and basic needs was alleviated. Occasionally, day labourers use it to supplement other funds to acquire specialised tools. Importantly, the grant was not a disincentive to continue their work‐seeking activities. The findings question the effectiveness of policy responses to economic crises within the informal sector.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140369293","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}
Bright Tetteh, Franklin Bedakiyiba Baajike, Samuel Tawiah Baidoo, Esther Nuamah
The proponents of globalization claim that economic globalization (EGLO) is a catalyst for women's economic empowerment (WEE), whereas the opponents of EGLO are of the view that it is detrimental to WEE, especially in developing countries, as it can exacerbate preexisting inequality. This study has examined the impact of EGLO on WEE from 2005 to 2020 for 45 African countries. The analysis disaggregated the EGLO variable into trade and financial globalizations to examine their individual impact on WEE. The system generalized method of moments is used as the estimation technique. The results show that overall EGLO, trade globalization and financial globalizations significantly promote WEE. Furthermore, the paper reveals that female labour force participation and human development expedite WEE. The results obtained from the analyses of the segregated data – official English and non‐English speaking countries – are consistent with the aggregated data. Given these findings, this paper sheds light on how WEE could be enhanced on the African continent. Promoting WEE has the potential to expedite the achievement of some of the sustainable development goals.
{"title":"Women's economic empowerment in Africa: Is economic globalization friend or foe?","authors":"Bright Tetteh, Franklin Bedakiyiba Baajike, Samuel Tawiah Baidoo, Esther Nuamah","doi":"10.1111/issj.12493","DOIUrl":"https://doi.org/10.1111/issj.12493","url":null,"abstract":"The proponents of globalization claim that economic globalization (EGLO) is a catalyst for women's economic empowerment (WEE), whereas the opponents of EGLO are of the view that it is detrimental to WEE, especially in developing countries, as it can exacerbate preexisting inequality. This study has examined the impact of EGLO on WEE from 2005 to 2020 for 45 African countries. The analysis disaggregated the EGLO variable into trade and financial globalizations to examine their individual impact on WEE. The system generalized method of moments is used as the estimation technique. The results show that overall EGLO, trade globalization and financial globalizations significantly promote WEE. Furthermore, the paper reveals that female labour force participation and human development expedite WEE. The results obtained from the analyses of the segregated data – official English and non‐English speaking countries – are consistent with the aggregated data. Given these findings, this paper sheds light on how WEE could be enhanced on the African continent. Promoting WEE has the potential to expedite the achievement of some of the sustainable development goals.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"20 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432287","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}
Fueled by economic growth, among other factors, environmental degradation is one of the most serious challenges facing humanity in the twenty‐first century. Although extensive research has been conducted on the relationship between economic growth and environmental quality, the findings are inconclusive. This study investigated the relationship between economic growth and environmental quality in Ethiopia from 1981 to 2016 using non‐linear autoregressive distributive lag and two‐step least squares models. First, the study finds that the relationship between economic growth and environmental quality is asymmetric. Second, economic growth negatively affects environmental quality. Third, the positive environmental effect of a negative shock on economic growth is stronger than that of a positive shock. Fourth, energy consumption and population growth negatively affect environmental quality, whereas the effects of renewable energy consumption, natural resources, trade openness and human capital are positive. Fifth, an inverted N‐shaped relationship exists between economic growth and environmental quality, where GDP per capita greater than $686.770 contributes to environmental quality. Therefore, high and sustainable economic growth, renewable energy consumption, population control, resource conservation, trade openness and human capital accumulation are required to improve the environmental quality of Ethiopia. The limitation of this study is that it examines the direct impact of economic growth on environmental quality. It would be better to examine the potential indirect impact of economic growth via variables, such as institutional quality and human capital.
{"title":"How does economic growth impact environmental quality in Ethiopia? A non‐linear approach","authors":"C. Abate","doi":"10.1111/issj.12492","DOIUrl":"https://doi.org/10.1111/issj.12492","url":null,"abstract":"Fueled by economic growth, among other factors, environmental degradation is one of the most serious challenges facing humanity in the twenty‐first century. Although extensive research has been conducted on the relationship between economic growth and environmental quality, the findings are inconclusive. This study investigated the relationship between economic growth and environmental quality in Ethiopia from 1981 to 2016 using non‐linear autoregressive distributive lag and two‐step least squares models. First, the study finds that the relationship between economic growth and environmental quality is asymmetric. Second, economic growth negatively affects environmental quality. Third, the positive environmental effect of a negative shock on economic growth is stronger than that of a positive shock. Fourth, energy consumption and population growth negatively affect environmental quality, whereas the effects of renewable energy consumption, natural resources, trade openness and human capital are positive. Fifth, an inverted N‐shaped relationship exists between economic growth and environmental quality, where GDP per capita greater than $686.770 contributes to environmental quality. Therefore, high and sustainable economic growth, renewable energy consumption, population control, resource conservation, trade openness and human capital accumulation are required to improve the environmental quality of Ethiopia. The limitation of this study is that it examines the direct impact of economic growth on environmental quality. It would be better to examine the potential indirect impact of economic growth via variables, such as institutional quality and human capital.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140433234","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}
This paper analyses the connectivity between geopolitical risk (GPR) and several segments of exchanged‐traded funds, aligned with the United Nations Sustainable Development Goals (SDGs), in order to understand the implications of risk associated with wars, political tensions and terrorist acts in the dynamics generated by this type of asset. We studied the behaviour of assets representative of 6 SDGs and 2 GPR indices, over a period of approximately 14 and a half years, characterized by several market phases, with special emphasis on the pandemic crisis and the war in Ukraine. Resorting to dynamic analysis, based on several multivariate models, it was possible to identify spillover effects in phases corresponding to turbulence in financial markets, in particular in the downward movements of prices of sustainable assets, generated from the geopolitical threat index. The results obtained are relevant for understanding the effect of GPR on sustainable investment, being of interest to various market actors.
{"title":"Connectedness between sustainable exchanged‐traded funds in the presence of the Ukrainian war: Does political risk matter?","authors":"Vítor Gabriel, Carlos Pinho","doi":"10.1111/issj.12491","DOIUrl":"https://doi.org/10.1111/issj.12491","url":null,"abstract":"This paper analyses the connectivity between geopolitical risk (GPR) and several segments of exchanged‐traded funds, aligned with the United Nations Sustainable Development Goals (SDGs), in order to understand the implications of risk associated with wars, political tensions and terrorist acts in the dynamics generated by this type of asset. We studied the behaviour of assets representative of 6 SDGs and 2 GPR indices, over a period of approximately 14 and a half years, characterized by several market phases, with special emphasis on the pandemic crisis and the war in Ukraine. Resorting to dynamic analysis, based on several multivariate models, it was possible to identify spillover effects in phases corresponding to turbulence in financial markets, in particular in the downward movements of prices of sustainable assets, generated from the geopolitical threat index. The results obtained are relevant for understanding the effect of GPR on sustainable investment, being of interest to various market actors.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"152 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140454880","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}
We estimate the long‐run impacts of telecommunication technologies, information and communication technology (ICT), and national leadership on private consumption in Malaysia. To accomplish this objective, the research employs the unit root and cointegration tests on a quarterly sample from 1995:Q1 to 2020:Q4. Our results show that private consumption, ICT, leadership quality and other determinants are cointegrated. In the long‐run, we find that ICT and leadership quality both have a significance positive impact on private consumption. We also discovered that better ICT development and leadership quality will moderate the effects of disposable income on private consumption. Interestingly, the impact of ICT on private consumption is also found to be contingent upon the degree of leadership quality. Thus, policy initiatives aimed to improve ICT infrastructure and nurturing first‐class leadership talents should be prioritised in an effort to promote private consumption, which eventually leads to economic growth and development.
{"title":"The effects of telecommunication technology and leadership quality on private consumption in Malaysia","authors":"Chor Foon Tang, Yunhee Lim","doi":"10.1111/issj.12486","DOIUrl":"https://doi.org/10.1111/issj.12486","url":null,"abstract":"We estimate the long‐run impacts of telecommunication technologies, information and communication technology (ICT), and national leadership on private consumption in Malaysia. To accomplish this objective, the research employs the unit root and cointegration tests on a quarterly sample from 1995:Q1 to 2020:Q4. Our results show that private consumption, ICT, leadership quality and other determinants are cointegrated. In the long‐run, we find that ICT and leadership quality both have a significance positive impact on private consumption. We also discovered that better ICT development and leadership quality will moderate the effects of disposable income on private consumption. Interestingly, the impact of ICT on private consumption is also found to be contingent upon the degree of leadership quality. Thus, policy initiatives aimed to improve ICT infrastructure and nurturing first‐class leadership talents should be prioritised in an effort to promote private consumption, which eventually leads to economic growth and development.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"35 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139607790","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}
A country's institutional quality (INS) influences its export performance (EXP) and plays a vital role in international trade. The purpose of this study is to investigate the short‐run and long‐run relationships among these macroeconomic factors in Pakistan. Annual data from the World Development Indicators and the International Country Risk Guide were used from ‘1989 to 2019’. To investigate the short‐run and long‐run linkage between INS and EXP, the non‐linear auto‐regressive distributed lag and error correction model are used after incorporating structural breaks. Additionally, the macroeconomic explanatory variables used are the exchange rate (ER), human capital (HC), gross domestic product (GDP) and foreign direct investment (FDI). In the long run, INS, HC, GDP and FDI have a significant positive relationship with EXP, whereas the ER has a significant negative relationship. In the short run, INS is significant and positive, whereas HC, GDP and FDI with EXP are modest but significantly positive. To improve export performance in Pakistan, strategic reform of governmental institutions is required.
{"title":"Macroeconomics factor, institutional quality and export performance: Empirical evidence from Pakistan","authors":"Abbas Khan, Muhammad Yar Khan, Manzoor Ahmad","doi":"10.1111/issj.12483","DOIUrl":"https://doi.org/10.1111/issj.12483","url":null,"abstract":"A country's institutional quality (INS) influences its export performance (EXP) and plays a vital role in international trade. The purpose of this study is to investigate the short‐run and long‐run relationships among these macroeconomic factors in Pakistan. Annual data from the World Development Indicators and the International Country Risk Guide were used from ‘1989 to 2019’. To investigate the short‐run and long‐run linkage between INS and EXP, the non‐linear auto‐regressive distributed lag and error correction model are used after incorporating structural breaks. Additionally, the macroeconomic explanatory variables used are the exchange rate (ER), human capital (HC), gross domestic product (GDP) and foreign direct investment (FDI). In the long run, INS, HC, GDP and FDI have a significant positive relationship with EXP, whereas the ER has a significant negative relationship. In the short run, INS is significant and positive, whereas HC, GDP and FDI with EXP are modest but significantly positive. To improve export performance in Pakistan, strategic reform of governmental institutions is required.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":" 0","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138962904","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}
S. Selva Birunda, R. Kanniga Devi, M. Muthukannan, M. Mahesh Babu
Abstract During the COVID‐19 pandemic, online social networks are extensively utilized, more than ever before by 8.4%, resulting in the propagation of false information related to COVID‐19. Despite the existence of many fake news detection models; annotation inconsistency, memory consumption, accurate and self‐trained efficient algorithms for detecting the emerging COVID‐19 misinformation tweets are still challenging. Hence, the main aim of this work is to come up with a self‐trained semi‐supervised model that accurately and automatically detects the reliability of emerging COVID‐19 tweets without delay. In this work, COVID‐19 tweet dataset is created in English Language from the period January 2020 to January 2022 as a ground truth database. Then self‐trained semi‐supervised hybrid deep learning model is proposed to train both supervised and unsupervised components simultaneously using the created dataset. The proposed model is self‐trained repeatedly and the model gets updated to predict the reliability of upcoming COVID‐19 tweets that differ from training tweets. We performed experiments multiple times by limiting the percentage amount of labelled tweets shown to the model, namely 80%, 50%, 40%, 30%, 20% and 10% labelled tweets, respectively. Experimental results show that the proposed model achieves 80.92% accuracy and 98.15% accuracy in the 10% and 80% label‐seen experiments, respectively. This shows a clear rising trend in the performance curve. Therefore, this technique will be useful for effectively classifying voluminous amounts of emerging tweets generated as part of the COVID‐19 infodemic. The proposed model may efficiently use a huge amount of unlabelled tweets and enhance the model's generalization performance.
{"title":"ACOVMD: Automatic COVID‐19 misinformation detection in Twitter using self‐trained semi‐supervised hybrid deep learning model","authors":"S. Selva Birunda, R. Kanniga Devi, M. Muthukannan, M. Mahesh Babu","doi":"10.1111/issj.12475","DOIUrl":"https://doi.org/10.1111/issj.12475","url":null,"abstract":"Abstract During the COVID‐19 pandemic, online social networks are extensively utilized, more than ever before by 8.4%, resulting in the propagation of false information related to COVID‐19. Despite the existence of many fake news detection models; annotation inconsistency, memory consumption, accurate and self‐trained efficient algorithms for detecting the emerging COVID‐19 misinformation tweets are still challenging. Hence, the main aim of this work is to come up with a self‐trained semi‐supervised model that accurately and automatically detects the reliability of emerging COVID‐19 tweets without delay. In this work, COVID‐19 tweet dataset is created in English Language from the period January 2020 to January 2022 as a ground truth database. Then self‐trained semi‐supervised hybrid deep learning model is proposed to train both supervised and unsupervised components simultaneously using the created dataset. The proposed model is self‐trained repeatedly and the model gets updated to predict the reliability of upcoming COVID‐19 tweets that differ from training tweets. We performed experiments multiple times by limiting the percentage amount of labelled tweets shown to the model, namely 80%, 50%, 40%, 30%, 20% and 10% labelled tweets, respectively. Experimental results show that the proposed model achieves 80.92% accuracy and 98.15% accuracy in the 10% and 80% label‐seen experiments, respectively. This shows a clear rising trend in the performance curve. Therefore, this technique will be useful for effectively classifying voluminous amounts of emerging tweets generated as part of the COVID‐19 infodemic. The proposed model may efficiently use a huge amount of unlabelled tweets and enhance the model's generalization performance.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136347628","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}
Toyo A. M. Dossou, Simplice A. Asongu, Emmanuelle N. Kambaye, Kouessi P. Dossou, Alastaire S. Alinsato
Abstract The use of Gross Domestic Product (GDP) per capita as a measure of economic growth has been recently subject to wide criticism by many economists. It has been observed that although some countries have experienced economic growth in recent years, income inequality and poverty continue to be exacerbated. Recently, sustainable development goal 8 has been geared to promote inclusive growth. Considering this fact, this study expands the literature by examining the relationship between tourism development and inclusive growth for a panel of 44 African countries over the period 2000–2020. Further, the study also adds to the literature by examining the moderation of governance quality on the tourism‐inclusive growth nexus. The investigation is made using the generalized method of moments as an estimation technique. The result indicates that tourism and governance quality appear to promote inclusive growth. Moreover, the results indicate that good quality of institutions or governance could complement tourism development to promote inclusive growth, as positive synergies are apparent from the role of governance in moderating the incidence of tourism on inclusive growth. Policy implications are discussed.
{"title":"Governance, tourism and inclusive growth in Africa","authors":"Toyo A. M. Dossou, Simplice A. Asongu, Emmanuelle N. Kambaye, Kouessi P. Dossou, Alastaire S. Alinsato","doi":"10.1111/issj.12476","DOIUrl":"https://doi.org/10.1111/issj.12476","url":null,"abstract":"Abstract The use of Gross Domestic Product (GDP) per capita as a measure of economic growth has been recently subject to wide criticism by many economists. It has been observed that although some countries have experienced economic growth in recent years, income inequality and poverty continue to be exacerbated. Recently, sustainable development goal 8 has been geared to promote inclusive growth. Considering this fact, this study expands the literature by examining the relationship between tourism development and inclusive growth for a panel of 44 African countries over the period 2000–2020. Further, the study also adds to the literature by examining the moderation of governance quality on the tourism‐inclusive growth nexus. The investigation is made using the generalized method of moments as an estimation technique. The result indicates that tourism and governance quality appear to promote inclusive growth. Moreover, the results indicate that good quality of institutions or governance could complement tourism development to promote inclusive growth, as positive synergies are apparent from the role of governance in moderating the incidence of tourism on inclusive growth. Policy implications are discussed.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"23 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135038156","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 This research aimed to conduct a bibliometric analysis of the existing scientific literature on circular economy (CE) and innovation in the oil and gas industry to determine the most critical concepts, authors, sources, most cited articles and countries mentioned in the field. The study of the literature on CE and innovation is also intended to reveal its underlying philosophical, intellectual and social framework. Scopus publications from 2010 to 2022 were examined for this purpose. First, a quantitative study with tables, graphs and maps summarizes the state of the CE and innovation in the oil and gas business, focusing on the key performance indicators of article output and citation. A total of 799 items were located by the results. Second, an inductive analysis of secondary literature that includes 108 articles was done, and 8 categories were identified: the CE and innovation; the CE and environmental impact; the acceptance of the economy CE by developing nations; the possibility of mainstreaming the CE; the effects of the CE on manufacturing; the effects of the CE on the pandemic (COVID‐19); and the effects of the CE on oil and gas industry.
{"title":"Circular economy and innovation in oil and gas industry: A systematic literature review and bibliometric analysis","authors":"Shikhar Dua, Nikunj Kumar Jain","doi":"10.1111/issj.12474","DOIUrl":"https://doi.org/10.1111/issj.12474","url":null,"abstract":"Abstract This research aimed to conduct a bibliometric analysis of the existing scientific literature on circular economy (CE) and innovation in the oil and gas industry to determine the most critical concepts, authors, sources, most cited articles and countries mentioned in the field. The study of the literature on CE and innovation is also intended to reveal its underlying philosophical, intellectual and social framework. Scopus publications from 2010 to 2022 were examined for this purpose. First, a quantitative study with tables, graphs and maps summarizes the state of the CE and innovation in the oil and gas business, focusing on the key performance indicators of article output and citation. A total of 799 items were located by the results. Second, an inductive analysis of secondary literature that includes 108 articles was done, and 8 categories were identified: the CE and innovation; the CE and environmental impact; the acceptance of the economy CE by developing nations; the possibility of mainstreaming the CE; the effects of the CE on manufacturing; the effects of the CE on the pandemic (COVID‐19); and the effects of the CE on oil and gas industry.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":" 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135285998","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 The aim of this research is to determine the effect that the physical characteristics of public spaces and their perceived quality have on residents’ sense of community (SoC). A systematic review was carried out following the protocol of the PRISMA guidelines; a systematic search was conducted in the Web of Science Core Collection, resulting in the retrieval of 637 records. After several screenings, 23 studies were identified. The results suggest that the perceived quality of public spaces exerts positive effects, but of moderate intensity, on SoC (range = 0.13–0.4, M β = 0.24, SD = 0.1), as does the possibility of walking to public spaces within the neighbourhood (range = 0.02–0.57; M β = 0.22; SD = 0.21). The results indicate that designing public spaces that facilitate social interaction is the main factor for enhancing SoC. The main findings of this review justify the design of public spaces and built environments that favour interpersonal relationships between residents, serve as contexts for socialization and community participation and can be used to celebrate cultural and recreational events for promoting social capital in urban contexts.
{"title":"A systematic review to determine the role of public space and urban design on sense of community","authors":"Ignacio Ramos‐Vidal, Elsy Domínguez de la Ossa","doi":"10.1111/issj.12472","DOIUrl":"https://doi.org/10.1111/issj.12472","url":null,"abstract":"Abstract The aim of this research is to determine the effect that the physical characteristics of public spaces and their perceived quality have on residents’ sense of community (SoC). A systematic review was carried out following the protocol of the PRISMA guidelines; a systematic search was conducted in the Web of Science Core Collection, resulting in the retrieval of 637 records. After several screenings, 23 studies were identified. The results suggest that the perceived quality of public spaces exerts positive effects, but of moderate intensity, on SoC (range = 0.13–0.4, M β = 0.24, SD = 0.1), as does the possibility of walking to public spaces within the neighbourhood (range = 0.02–0.57; M β = 0.22; SD = 0.21). The results indicate that designing public spaces that facilitate social interaction is the main factor for enhancing SoC. The main findings of this review justify the design of public spaces and built environments that favour interpersonal relationships between residents, serve as contexts for socialization and community participation and can be used to celebrate cultural and recreational events for promoting social capital in urban contexts.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"228 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135974860","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}
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