Pub Date : 2023-03-17DOI: 10.1142/s1464333223500011
S. Barykin, S. Sergeev, I. Kapustina, Alexander Anatolyevich Fedotov, V. A. Matchinov, E. Plaza, A. Mottaeva, A. Sharkova, Anzhelika Yurievna Borisova, A. Karmanova
Technological singularity has seriously affected all the social, environmental, and economic genesis factors in mankind’s history. The problem of assessing the quality of life in the digital economy is acquiring new nuances including social services. The objective of this study is to investigate unique impacts of digital transformation on economic, environment, and social progresses on the quality of life improvement in China. Environmental statistical data on the impact of investments in social, state, and other spheres of economic activity are analysed at the machine learning level. Application of high-performance computing (HPC) and big data technologies for obtaining data on socio-economic statistics in real-time, the presence of feedback in the Web 4.0 concept, transfer of a significant part of economic processes to internet platforms provide the information necessary for analysis. As a result, a basis is proposed for implementing software products in the form of institutional decision-making support systems for a long horizon of planning investments in the quality of life.
{"title":"Environmental Sustainability and Digital Transformation of Socio-Economic: Quality of Life Perspective","authors":"S. Barykin, S. Sergeev, I. Kapustina, Alexander Anatolyevich Fedotov, V. A. Matchinov, E. Plaza, A. Mottaeva, A. Sharkova, Anzhelika Yurievna Borisova, A. Karmanova","doi":"10.1142/s1464333223500011","DOIUrl":"https://doi.org/10.1142/s1464333223500011","url":null,"abstract":"Technological singularity has seriously affected all the social, environmental, and economic genesis factors in mankind’s history. The problem of assessing the quality of life in the digital economy is acquiring new nuances including social services. The objective of this study is to investigate unique impacts of digital transformation on economic, environment, and social progresses on the quality of life improvement in China. Environmental statistical data on the impact of investments in social, state, and other spheres of economic activity are analysed at the machine learning level. Application of high-performance computing (HPC) and big data technologies for obtaining data on socio-economic statistics in real-time, the presence of feedback in the Web 4.0 concept, transfer of a significant part of economic processes to internet platforms provide the information necessary for analysis. As a result, a basis is proposed for implementing software products in the form of institutional decision-making support systems for a long horizon of planning investments in the quality of life.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43555964","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 : 2023-03-06DOI: 10.1142/s1464333223500059
L. Sullivan
Focus of the article is the pursuit by President Xi Jinping (2013–2021) of an aggressive policy of environmental protection and preservation with the ambitious goal of creating a ‘beautiful China’. Article begins with a summary of the rise to national leadership by Xi Jinping from a local and provincial leader to national prominence, and then examines the creation of central and local bureaucracies for policy implementation on the environment along with such initiatives as the system of ‘river chiefs’ to address the serious problem of waterway pollution. By tracing the transition to more environmentally friendly economic and industrial policies, government efforts are also described to foster greater environmental consciousness on the part of the Chinese public. The article concludes by weighing the accomplishments of the new policies along with various economic, institutional, and structural obstacles to achieving a ‘beautiful China’.
{"title":"Tackling the Environment: Xi Jinping and the Pursuit of a ‘Beautiful China’","authors":"L. Sullivan","doi":"10.1142/s1464333223500059","DOIUrl":"https://doi.org/10.1142/s1464333223500059","url":null,"abstract":"Focus of the article is the pursuit by President Xi Jinping (2013–2021) of an aggressive policy of environmental protection and preservation with the ambitious goal of creating a ‘beautiful China’. Article begins with a summary of the rise to national leadership by Xi Jinping from a local and provincial leader to national prominence, and then examines the creation of central and local bureaucracies for policy implementation on the environment along with such initiatives as the system of ‘river chiefs’ to address the serious problem of waterway pollution. By tracing the transition to more environmentally friendly economic and industrial policies, government efforts are also described to foster greater environmental consciousness on the part of the Chinese public. The article concludes by weighing the accomplishments of the new policies along with various economic, institutional, and structural obstacles to achieving a ‘beautiful China’.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41997109","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 : 2023-03-06DOI: 10.1142/s1464333223500047
Z. Taheri, M. Masoudi
Drought is among the natural disasters that seriously impact the environment and human life. This study aims to explore the spatial pattern of drought using the percent of normal precipitation index (PNPI) in Fars Province, located in the Southern part of Iran. To this end, a drought risk model based on data from 42 stations in Fars province from 1990 to 2019 was evaluated. The model includes three criteria of maximum drought intensity in the period, drought trend, and a maximum number of consecutive dry years. The final drought risk map was obtained with an arithmetic mean of three indicators of intensity, continuity, and trend. The final hazard map and the 3-criteria map were interpolated by the inverse distance weighting (IDW) method and were classified into five risk classes: none, mild, moderate, severe, and very severe. The final vulnerability map shows that moderate hazard areas (5% of the region), which are observed in the Sothern parts of the region, are less widespread than areas under severe hazard (83% of the region), which are observed in almost all parts of the region. According to the final vulnerability map, about 94% of the area of Fars province is under severe and very severe conditions. Overall, this study, regarding its simplicity and considering different dimensions of drought, may be utilised as a basic framework to evaluate drought hazards for other locations worldwide. In this respect, it is necessary to study the multiple sights of this phenomenon for land use planning, resource management, and prevention of water and food crises. Therefore, this model can help users and administrations with executive initiatives.
{"title":"Hazard Assessment of Drought Using PNPI and GIS in Fars Province, Iran","authors":"Z. Taheri, M. Masoudi","doi":"10.1142/s1464333223500047","DOIUrl":"https://doi.org/10.1142/s1464333223500047","url":null,"abstract":"Drought is among the natural disasters that seriously impact the environment and human life. This study aims to explore the spatial pattern of drought using the percent of normal precipitation index (PNPI) in Fars Province, located in the Southern part of Iran. To this end, a drought risk model based on data from 42 stations in Fars province from 1990 to 2019 was evaluated. The model includes three criteria of maximum drought intensity in the period, drought trend, and a maximum number of consecutive dry years. The final drought risk map was obtained with an arithmetic mean of three indicators of intensity, continuity, and trend. The final hazard map and the 3-criteria map were interpolated by the inverse distance weighting (IDW) method and were classified into five risk classes: none, mild, moderate, severe, and very severe. The final vulnerability map shows that moderate hazard areas (5% of the region), which are observed in the Sothern parts of the region, are less widespread than areas under severe hazard (83% of the region), which are observed in almost all parts of the region. According to the final vulnerability map, about 94% of the area of Fars province is under severe and very severe conditions. Overall, this study, regarding its simplicity and considering different dimensions of drought, may be utilised as a basic framework to evaluate drought hazards for other locations worldwide. In this respect, it is necessary to study the multiple sights of this phenomenon for land use planning, resource management, and prevention of water and food crises. Therefore, this model can help users and administrations with executive initiatives.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42798764","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 : 2023-03-03DOI: 10.1142/s1464333223500035
Syaifurrizal Wijaya Putra, Lissa Rosdiana Noer, T. Handriana, D. Mardhiyah
One of the causes of environmental degradation is human behaviour that destroys environment. This environmental phenomenon can arise from both the domestic and global spheres, where domestic means that it comes from the immediate environment and global means that it comes from a multinational environment. Knowledge of these two types of events is thought to be able to influence the desire to buy ‘green’ products and can be stronger if the environmental knowledge of the individual is also already strong. This study seeks to test the relationship of these variables using a video documentary stimulus and processing through structural equation modelling. The results show that environmental knowledge is much stronger in influencing domestic environmental concerns than global environmental concerns. In addition, the results also explain that global environmental concerns have a stronger influence on an individual’s decision to buy green products. Indonesian’s government should make a policy about increasing public service advertisement that provides information on global disasters to encourage the purchase of green products.
{"title":"Does Domestic and Global Environmental Events can Stimulated Purchase Intention E-Motorcycle?","authors":"Syaifurrizal Wijaya Putra, Lissa Rosdiana Noer, T. Handriana, D. Mardhiyah","doi":"10.1142/s1464333223500035","DOIUrl":"https://doi.org/10.1142/s1464333223500035","url":null,"abstract":"One of the causes of environmental degradation is human behaviour that destroys environment. This environmental phenomenon can arise from both the domestic and global spheres, where domestic means that it comes from the immediate environment and global means that it comes from a multinational environment. Knowledge of these two types of events is thought to be able to influence the desire to buy ‘green’ products and can be stronger if the environmental knowledge of the individual is also already strong. This study seeks to test the relationship of these variables using a video documentary stimulus and processing through structural equation modelling. The results show that environmental knowledge is much stronger in influencing domestic environmental concerns than global environmental concerns. In addition, the results also explain that global environmental concerns have a stronger influence on an individual’s decision to buy green products. Indonesian’s government should make a policy about increasing public service advertisement that provides information on global disasters to encourage the purchase of green products.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42600377","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 : 2023-02-22DOI: 10.1142/s1464333223500023
N. Mostaghimi, E. Rasoulinezhad
This study investigates the pros and cons of the energy transition process as a part of environmental sustainability’s policy in Iran. To analyse the strategic transition towards clean energy in Iran and extract practical policies and operational solutions, the SWOT (Strengths, Weaknesses, Opportunities and Threats) technique was applied. Based on the findings, Iran’s most significant strengths towards greening economy are low operational cost of clean energy and academic experts’ involvement in localisation and environmental protection. Non-renewable energy trade, high initial costs, and Iran’s economic and foreign policy instability are the major weaknesses. Moreover, the opportunities include diversifying the economy to increase income and reduce dependence on oil. Finally, a lack of institutional capacity and coordination with related industries were the biggest threats. Based on the internal and external matrix, Iran’s energy transition process towards clean (renewable) energies is strategically in ST (Strengths and Threats) situation. It means, this transition in Iran has strengths (i.e. low cost of clean energy) as well as threats (i.e. increased competition in the global energy market) due to the internal and external factors, which can take advantage of existing strengths and predict future threats to reduce the effect of threats on the movement towards clean energy.
{"title":"Energy Transition and Environmental Sustainability in Iran: Pros and Cons Through SWOT Analysis Approach","authors":"N. Mostaghimi, E. Rasoulinezhad","doi":"10.1142/s1464333223500023","DOIUrl":"https://doi.org/10.1142/s1464333223500023","url":null,"abstract":"This study investigates the pros and cons of the energy transition process as a part of environmental sustainability’s policy in Iran. To analyse the strategic transition towards clean energy in Iran and extract practical policies and operational solutions, the SWOT (Strengths, Weaknesses, Opportunities and Threats) technique was applied. Based on the findings, Iran’s most significant strengths towards greening economy are low operational cost of clean energy and academic experts’ involvement in localisation and environmental protection. Non-renewable energy trade, high initial costs, and Iran’s economic and foreign policy instability are the major weaknesses. Moreover, the opportunities include diversifying the economy to increase income and reduce dependence on oil. Finally, a lack of institutional capacity and coordination with related industries were the biggest threats. Based on the internal and external matrix, Iran’s energy transition process towards clean (renewable) energies is strategically in ST (Strengths and Threats) situation. It means, this transition in Iran has strengths (i.e. low cost of clean energy) as well as threats (i.e. increased competition in the global energy market) due to the internal and external factors, which can take advantage of existing strengths and predict future threats to reduce the effect of threats on the movement towards clean energy.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46874523","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 : 2023-02-17DOI: 10.1142/s1464333222500351
Muhammad Asghar, Muhammad Zahir Faridi
The analysis of innovation, natural resource consumption, and eco-efficiency is widely discussed in firm-level studies. However, there is little literature on the assessment of eco-efficiency and its determinants in the macroeconomic framework. This study focuses on the empirical estimation of the eco-efficiency index with and without undesirable output at the aggregate level using a non-radial, non-oriented slack-based model (SBM) with the help of data envelopment analysis (DEA). SBM-DEA reveals that the level of eco-efficiency falls by incorporating undesirable output. The system generalised method of moments (GMM) applied to the panel data from 116 developed and developing countries for the period 2010–2019 to identify the determinants of eco-efficiency. The findings of system GMM show that innovation has a dynamic impact on eco-efficiency in developed and developing countries compared to natural resource consumption which adversely impacts it. The study also confirms exports and foreign direct investment (FDI) as an integral determinant of eco-efficiency. The findings confirm the ecological modernization theory which assures improvement in environmental quality due to innovation. The findings suggest that innovation and conservation of natural resources promote eco-efficiency in developed and developing countries.
{"title":"An Assessment of Eco-Efficiency and its Determinants: Evidence from Macroeconomic Data","authors":"Muhammad Asghar, Muhammad Zahir Faridi","doi":"10.1142/s1464333222500351","DOIUrl":"https://doi.org/10.1142/s1464333222500351","url":null,"abstract":"The analysis of innovation, natural resource consumption, and eco-efficiency is widely discussed in firm-level studies. However, there is little literature on the assessment of eco-efficiency and its determinants in the macroeconomic framework. This study focuses on the empirical estimation of the eco-efficiency index with and without undesirable output at the aggregate level using a non-radial, non-oriented slack-based model (SBM) with the help of data envelopment analysis (DEA). SBM-DEA reveals that the level of eco-efficiency falls by incorporating undesirable output. The system generalised method of moments (GMM) applied to the panel data from 116 developed and developing countries for the period 2010–2019 to identify the determinants of eco-efficiency. The findings of system GMM show that innovation has a dynamic impact on eco-efficiency in developed and developing countries compared to natural resource consumption which adversely impacts it. The study also confirms exports and foreign direct investment (FDI) as an integral determinant of eco-efficiency. The findings confirm the ecological modernization theory which assures improvement in environmental quality due to innovation. The findings suggest that innovation and conservation of natural resources promote eco-efficiency in developed and developing countries.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43981836","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 : 2023-02-09DOI: 10.1142/s1464333222500375
Maedeh Pourfathollah, Z. Ghasemi, Hosna Sadat Shams Dolatabadi, Mina Alilou
Lighting policies and the influence of light colour parameters on humans and the environment are complex. The opinions of experts and the optimisation of night-time lighting policies create a suitable nightscape that satisfies users’ needs and minimises environmental impacts. This study aims to provide a nightscape design policy for outdoor spaces considering environmental factors. This evaluation can provide multidisciplinary policy recommendations and evaluate the position of environmental considerations in human-centred lighting design. Initially, the factors affecting the night landscape are identified and priorities are subsequently determined on a smaller scale based on the typology of Tehran’s nightscape. The data output from these prioritisations is used to develop how the lights in the night landscape can be improved for various spatial typologies. Finally, a human and environment-friendly conceptual model is developed.
{"title":"The Significance of Environmental Factors in Human-Centred Lighting Policy","authors":"Maedeh Pourfathollah, Z. Ghasemi, Hosna Sadat Shams Dolatabadi, Mina Alilou","doi":"10.1142/s1464333222500375","DOIUrl":"https://doi.org/10.1142/s1464333222500375","url":null,"abstract":"Lighting policies and the influence of light colour parameters on humans and the environment are complex. The opinions of experts and the optimisation of night-time lighting policies create a suitable nightscape that satisfies users’ needs and minimises environmental impacts. This study aims to provide a nightscape design policy for outdoor spaces considering environmental factors. This evaluation can provide multidisciplinary policy recommendations and evaluate the position of environmental considerations in human-centred lighting design. Initially, the factors affecting the night landscape are identified and priorities are subsequently determined on a smaller scale based on the typology of Tehran’s nightscape. The data output from these prioritisations is used to develop how the lights in the night landscape can be improved for various spatial typologies. Finally, a human and environment-friendly conceptual model is developed.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43238727","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 : 2023-02-02DOI: 10.1142/s1464333222500363
Jiaman Li, Kangyin Dong
This paper aims to determine the dynamic influence of provincial tourism development on carbon emissions and ecological efficiency in China. For this purpose, the paper first develops a new index to evaluate the ecological efficiency and then utilises the SYS-GMM method by using the provincial data during 2004–2017. Besides, we explore the heterogeneous, asymmetric, and mediating impact effect in the tourism–carbon–ecological efficiency nexus. The following findings are highlighted: (1) An inverted U-shaped nexus exists between tourism development and carbon emissions, which confirms the existence of the tourism–environment Kuznets curve; (2) tourism development can promote ecological efficiency, and this positive impact of tourism on the economy is enhanced by the tourism infrastructure; (3) the impact of tourism development on carbon emissions is heterogeneous and asymmetric, while its influence on ecological efficiency is consistent; and (4) investment effect is the significant mediator. This paper puts forward several policy suggestions based on the conclusion.
{"title":"How Tourism Development Affects Carbon Emissions and Ecological Efficiency? The Case of China","authors":"Jiaman Li, Kangyin Dong","doi":"10.1142/s1464333222500363","DOIUrl":"https://doi.org/10.1142/s1464333222500363","url":null,"abstract":"This paper aims to determine the dynamic influence of provincial tourism development on carbon emissions and ecological efficiency in China. For this purpose, the paper first develops a new index to evaluate the ecological efficiency and then utilises the SYS-GMM method by using the provincial data during 2004–2017. Besides, we explore the heterogeneous, asymmetric, and mediating impact effect in the tourism–carbon–ecological efficiency nexus. The following findings are highlighted: (1) An inverted U-shaped nexus exists between tourism development and carbon emissions, which confirms the existence of the tourism–environment Kuznets curve; (2) tourism development can promote ecological efficiency, and this positive impact of tourism on the economy is enhanced by the tourism infrastructure; (3) the impact of tourism development on carbon emissions is heterogeneous and asymmetric, while its influence on ecological efficiency is consistent; and (4) investment effect is the significant mediator. This paper puts forward several policy suggestions based on the conclusion.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47811278","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 : 2023-01-12DOI: 10.1142/s1464333222300012
A. G. Rweyendela, N. Pauline, G. Lema
Strategic environmental assessment (SEA) can support low-carbon development (LCD). However, no empirical review exists to consolidate the existing evidence base and inform practitioners, policymakers and scholars. This paper reviews prior empirical studies on SEA–LCD integration, identifies research gaps and develops a future research agenda. A narrative literature review was employed. Results reveal that only nine studies have been reported to date. They all demonstrate inconsistent and inadequate treatment of LCD. Most studies lack defined theories, focus on Global North countries, ignore SEA’s strategic characteristics and use SEA reports for data. The review culminates in a future research agenda that should lead to novel and significant contributions to the literature. It also highlights policy implications, focussing on the need for (1) high-level policy commitment to address LCD within SEA, (2) operational guidance and legal and regulatory structures to enable practice and (3) policy incentives for conducting, disseminating and applying research.
{"title":"Strategic Environmental Assessment for Low-Carbon Development: A Review and Research Agenda","authors":"A. G. Rweyendela, N. Pauline, G. Lema","doi":"10.1142/s1464333222300012","DOIUrl":"https://doi.org/10.1142/s1464333222300012","url":null,"abstract":"Strategic environmental assessment (SEA) can support low-carbon development (LCD). However, no empirical review exists to consolidate the existing evidence base and inform practitioners, policymakers and scholars. This paper reviews prior empirical studies on SEA–LCD integration, identifies research gaps and develops a future research agenda. A narrative literature review was employed. Results reveal that only nine studies have been reported to date. They all demonstrate inconsistent and inadequate treatment of LCD. Most studies lack defined theories, focus on Global North countries, ignore SEA’s strategic characteristics and use SEA reports for data. The review culminates in a future research agenda that should lead to novel and significant contributions to the literature. It also highlights policy implications, focussing on the need for (1) high-level policy commitment to address LCD within SEA, (2) operational guidance and legal and regulatory structures to enable practice and (3) policy incentives for conducting, disseminating and applying research.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48910501","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 : 2022-12-19DOI: 10.1142/s1464333222500338
Tien Cao Minh, Niki Naderi
Green finance (GFIN) has become a viable option for dealing with climate change in recent years. However, it is yet unknown how well it will affect low-carbon paths in recipient nations. As a result, the main goal of this study is to determine the causal relationship between clean energy (CENE), GFIN, and environmental responsibility (ERES) by using the innovative time-varying causality test on daily data from August 25, 2014, to September 12, 2021. The study is based on S&P Dow Jones Global Clean Energy, Green Bond, and Environmental and Social Indices. Adopting a time-varying technique should be trustworthy and resilient since the data exhibit consistent rising and negative trends. The findings demonstrate that GFIN helps to reduce carbon emissions. This research demonstrates the need to develop a thorough strategy to enhance ERES and GFIN by acquiring green technologies to achieve effective energy transition and sustainable development objectives.
{"title":"Unleashing the Role of Green Finance, Clean Energy, and Environmental Responsibility in Emission Reduction","authors":"Tien Cao Minh, Niki Naderi","doi":"10.1142/s1464333222500338","DOIUrl":"https://doi.org/10.1142/s1464333222500338","url":null,"abstract":"Green finance (GFIN) has become a viable option for dealing with climate change in recent years. However, it is yet unknown how well it will affect low-carbon paths in recipient nations. As a result, the main goal of this study is to determine the causal relationship between clean energy (CENE), GFIN, and environmental responsibility (ERES) by using the innovative time-varying causality test on daily data from August 25, 2014, to September 12, 2021. The study is based on S&P Dow Jones Global Clean Energy, Green Bond, and Environmental and Social Indices. Adopting a time-varying technique should be trustworthy and resilient since the data exhibit consistent rising and negative trends. The findings demonstrate that GFIN helps to reduce carbon emissions. This research demonstrates the need to develop a thorough strategy to enhance ERES and GFIN by acquiring green technologies to achieve effective energy transition and sustainable development objectives.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48741827","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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