Pub Date : 2022-12-15DOI: 10.1142/s146433322250034x
E. Korchagina, S. Barykin, Larisa Grigorievna Desfonteines, Samrat Ray, I. Shapovalova, V. Repnikova
The Environmental Impact Assessments (EIAs) have improved in theory and exercise over the years. Nevertheless, there are several flaws which prevent EIA from becoming a useful instrument for promoting Ecosystem-based Management (EBM). For instance, Deep Sea Mining (DSM) operations are expected to create considerable environmental degradation undermining the poorly recognised mechanisms that remain mostly unknown. Evaluating the environmental consequences of DSM operations at all phases of the mining process from exploration to future exploitation has been among the top priorities of the International Seabed Authority (ISA). Hence, this study attempts to define the legal structure of the ISA to assess the environmental consequences of multiple stages of mining. Based on the observation, the existing methods do not reflect a comprehensive EIA process adhering to EBM. Therefore, it can be concluded that deficient impact analyses and inadequate Environmental Impact Statements (EISs) may be accommodated in the absence of a consistent and well-regulated procedure, allowing for double standards or unequal treatment of contractors and potential applicants.
{"title":"Digitalisation of Ecosystem-Based Management and the Logistics Potential of the Arctic Region","authors":"E. Korchagina, S. Barykin, Larisa Grigorievna Desfonteines, Samrat Ray, I. Shapovalova, V. Repnikova","doi":"10.1142/s146433322250034x","DOIUrl":"https://doi.org/10.1142/s146433322250034x","url":null,"abstract":"The Environmental Impact Assessments (EIAs) have improved in theory and exercise over the years. Nevertheless, there are several flaws which prevent EIA from becoming a useful instrument for promoting Ecosystem-based Management (EBM). For instance, Deep Sea Mining (DSM) operations are expected to create considerable environmental degradation undermining the poorly recognised mechanisms that remain mostly unknown. Evaluating the environmental consequences of DSM operations at all phases of the mining process from exploration to future exploitation has been among the top priorities of the International Seabed Authority (ISA). Hence, this study attempts to define the legal structure of the ISA to assess the environmental consequences of multiple stages of mining. Based on the observation, the existing methods do not reflect a comprehensive EIA process adhering to EBM. Therefore, it can be concluded that deficient impact analyses and inadequate Environmental Impact Statements (EISs) may be accommodated in the absence of a consistent and well-regulated procedure, allowing for double standards or unequal treatment of contractors and potential applicants.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43722038","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 : 2022-12-15DOI: 10.1142/s1464333222400014
D. Rana, Maya Kumari, D. Kumar, N. Jaiswal
Rapid urbanisation causes the ‘heat island’ problem in megacities worldwide. The industrialisation has fuelled the increase in the urbanisation in Indian cities. This work measures and characterises Ahmedabad’s heat island variations (India). The study uses two satellite passes of the MODIS sensor over the summer for the last three years to assess urban heat island intensity (UHII). Sentinel-2B records are used to create a land-use map. The study considers the impact of land-use patterns on summer UHII diurnal fluctuations. Daily diurnal changes in land surface temperature (LST) are being analysed. Locations and land-use land-cover patterns affect UHII. Satellite observations show greater LST values during the day than at night, however, UHII is stronger at night. Urban UHII is stronger rural UHII. Lower vegetation cover area is one of the key causes of UHII development, as seen in the region’s Normalized Difference Vegetation Index (NDVI) values.
{"title":"Evaluation of Diurnal Variations in Urban Surface Temperature with Earth Observations System","authors":"D. Rana, Maya Kumari, D. Kumar, N. Jaiswal","doi":"10.1142/s1464333222400014","DOIUrl":"https://doi.org/10.1142/s1464333222400014","url":null,"abstract":"Rapid urbanisation causes the ‘heat island’ problem in megacities worldwide. The industrialisation has fuelled the increase in the urbanisation in Indian cities. This work measures and characterises Ahmedabad’s heat island variations (India). The study uses two satellite passes of the MODIS sensor over the summer for the last three years to assess urban heat island intensity (UHII). Sentinel-2B records are used to create a land-use map. The study considers the impact of land-use patterns on summer UHII diurnal fluctuations. Daily diurnal changes in land surface temperature (LST) are being analysed. Locations and land-use land-cover patterns affect UHII. Satellite observations show greater LST values during the day than at night, however, UHII is stronger at night. Urban UHII is stronger rural UHII. Lower vegetation cover area is one of the key causes of UHII development, as seen in the region’s Normalized Difference Vegetation Index (NDVI) values.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42898295","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 : 2022-12-05DOI: 10.1142/s1464333222500326
Naisbeh Zarei, Sharafat Ali, M. D. Kakhki, N. S. Froshani, P. R. Moghaddam, M. Sabouni
Different regions of Iran are influenced by dust storms since they are located in the arid and semi-arid zone and due to their plain structure, the penetration of different synoptic systems, and adjacency with desert and important dust centers. This research investigates the effect of dust sedimentation on the yield of irrigated and rainfed wheat in four neighbouring provinces and on wheat production in Iran (Khuzestan, Ilam, Kermanshah, and Lorestan). Data are for the crop years from 2011–2012 to 2018–2019. For higher accuracy, the research studies irrigated and rainfed wheat systems separately with the panel model of the Just–Pope function. In the Just–Pope stochastic function, the effects of inputs on two indices of mean yield and yield variance are studied simultaneously. Based on the results, the risk function of irrigated wheat is significantly influenced by the variables of machinery, labour, and dust at the 1% level and by the variables of water and precipitation at the 10% level. The most influential variable in this function is dust (3.03%). In the risk function of rainfed wheat, all variables have a significant impact on production fluctuations at the 1% level. The most influential factor is the temperature (0.86%). Furthermore, the results reveal that the variable of the number of dusty days is significant in the production of irrigated and rainfed wheat at the 15% and 1% levels, respectively. The effect of this variable on rainfed wheat is negative and 0.101%. In this regard, it is necessary to develop dust-specific projects in the agricultural sector and estimate the cost imposed by this phenomenon.
{"title":"An Investigation Into the Effect of Dust on Wheat Yield","authors":"Naisbeh Zarei, Sharafat Ali, M. D. Kakhki, N. S. Froshani, P. R. Moghaddam, M. Sabouni","doi":"10.1142/s1464333222500326","DOIUrl":"https://doi.org/10.1142/s1464333222500326","url":null,"abstract":"Different regions of Iran are influenced by dust storms since they are located in the arid and semi-arid zone and due to their plain structure, the penetration of different synoptic systems, and adjacency with desert and important dust centers. This research investigates the effect of dust sedimentation on the yield of irrigated and rainfed wheat in four neighbouring provinces and on wheat production in Iran (Khuzestan, Ilam, Kermanshah, and Lorestan). Data are for the crop years from 2011–2012 to 2018–2019. For higher accuracy, the research studies irrigated and rainfed wheat systems separately with the panel model of the Just–Pope function. In the Just–Pope stochastic function, the effects of inputs on two indices of mean yield and yield variance are studied simultaneously. Based on the results, the risk function of irrigated wheat is significantly influenced by the variables of machinery, labour, and dust at the 1% level and by the variables of water and precipitation at the 10% level. The most influential variable in this function is dust (3.03%). In the risk function of rainfed wheat, all variables have a significant impact on production fluctuations at the 1% level. The most influential factor is the temperature (0.86%). Furthermore, the results reveal that the variable of the number of dusty days is significant in the production of irrigated and rainfed wheat at the 15% and 1% levels, respectively. The effect of this variable on rainfed wheat is negative and 0.101%. In this regard, it is necessary to develop dust-specific projects in the agricultural sector and estimate the cost imposed by this phenomenon.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45272260","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 : 2022-11-30DOI: 10.1142/s1464333222500314
WenTing Tan, Teng Cao
This paper discusses the effects of green technology innovation, renewable energy consumption and renewable energy investment on environmental quality. Panel data covering 81 countries from 2001 to 2020 are used to estimate the effects. The results indicate the following: First, at the total sample level, the effect of green technology innovation, renewable energy consumption and renewable energy investment on Carbon dioxide (CO[Formula: see text] emissions is significantly negative at the level of 10–1%; Second, at the subsample level, the green technology innovation and renewable energy consumption of non-Belt and Road (B&R) and high-income countries significantly affect CO2 emissions; while the green technology innovation and renewable energy consumption of middle- and low-income and B&R countries have no significant effect on CO2 emissions; Third, the endogeneity and robustness tests of the model verified that this empirical process is credible. Based on the above results, this paper proposes a series of policy implications needed to achieve carbon emission reduction and environmental quality improvement.
{"title":"Do Green Technology Innovation, Renewable Energy Consumption and Renewable Energy Investment Improve Environmental Quality?","authors":"WenTing Tan, Teng Cao","doi":"10.1142/s1464333222500314","DOIUrl":"https://doi.org/10.1142/s1464333222500314","url":null,"abstract":"This paper discusses the effects of green technology innovation, renewable energy consumption and renewable energy investment on environmental quality. Panel data covering 81 countries from 2001 to 2020 are used to estimate the effects. The results indicate the following: First, at the total sample level, the effect of green technology innovation, renewable energy consumption and renewable energy investment on Carbon dioxide (CO[Formula: see text] emissions is significantly negative at the level of 10–1%; Second, at the subsample level, the green technology innovation and renewable energy consumption of non-Belt and Road (B&R) and high-income countries significantly affect CO2 emissions; while the green technology innovation and renewable energy consumption of middle- and low-income and B&R countries have no significant effect on CO2 emissions; Third, the endogeneity and robustness tests of the model verified that this empirical process is credible. Based on the above results, this paper proposes a series of policy implications needed to achieve carbon emission reduction and environmental quality improvement.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46373370","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 : 2022-10-22DOI: 10.1142/s1464333222500296
M. Bahrami, Mohammad Javad Esslamzadeh, A. Zarei
Severe droughts and vast anthropogenic activities have propelled groundwater resource contamination in Iran. An accurate investigation of groundwater vulnerability objectively reflects an area’s potential for groundwater contamination and supplies a reference for contamination control and prevention. Therefore, the groundwater vulnerability of the Fasarood plain, south of Iran, was evaluated using the DRASTIC index (DI), Fuzzy-based DRASTIC index (FDI), Composite DRASTIC index (CDI), and Nitrate Vulnerability Index (NVI) methods. The input hydrogeological parameters were rated, weighted, and integrated via a geographical information system (GIS). The results of all models showed very low to moderate intrinsic and anthropogenic vulnerabilities to groundwater pollution. The zones with the most significant exposure may refer to geological formations and improper agriculture activity. The conclusions recommend that the area which was identified as having a higher groundwater pollution risk needs scientific land-use practise along with appropriate watershed management. The agriculturalists working in more vulnerable areas with high nitrate concentrations must begin practising an organic farming system and should replace chemical fertilisers with biofertilisers to reduce the groundwater contamination rate. Also, government departments should encourage reasonable control of groundwater pollution prohibition and withdraw based on changes in groundwater vulnerability in the area.
{"title":"Assessment of Groundwater Vulnerability Using GIS-Based Modified DRASTIC Models, Case Study: Fasarood Plain, South Iran","authors":"M. Bahrami, Mohammad Javad Esslamzadeh, A. Zarei","doi":"10.1142/s1464333222500296","DOIUrl":"https://doi.org/10.1142/s1464333222500296","url":null,"abstract":"Severe droughts and vast anthropogenic activities have propelled groundwater resource contamination in Iran. An accurate investigation of groundwater vulnerability objectively reflects an area’s potential for groundwater contamination and supplies a reference for contamination control and prevention. Therefore, the groundwater vulnerability of the Fasarood plain, south of Iran, was evaluated using the DRASTIC index (DI), Fuzzy-based DRASTIC index (FDI), Composite DRASTIC index (CDI), and Nitrate Vulnerability Index (NVI) methods. The input hydrogeological parameters were rated, weighted, and integrated via a geographical information system (GIS). The results of all models showed very low to moderate intrinsic and anthropogenic vulnerabilities to groundwater pollution. The zones with the most significant exposure may refer to geological formations and improper agriculture activity. The conclusions recommend that the area which was identified as having a higher groundwater pollution risk needs scientific land-use practise along with appropriate watershed management. The agriculturalists working in more vulnerable areas with high nitrate concentrations must begin practising an organic farming system and should replace chemical fertilisers with biofertilisers to reduce the groundwater contamination rate. Also, government departments should encourage reasonable control of groundwater pollution prohibition and withdraw based on changes in groundwater vulnerability in the area.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41302427","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 : 2022-10-12DOI: 10.1142/s1464333222500272
P. Jokar, M. Masoudi, M. Mathur
Forest planning is a necessary requirement for long-term, economically efficient and environmentally responsible forest management and use. Iran has 12 million ha of forest cover, with 5 million ha in the mountainous Zagros area. Many of the improper uses in these forests, so far removed from the past, have resulted in significant degradation. The purpose of this paper is to check and compare the prepared methods, including the Iranian Ecological Model (with seven classes using Boolean logic), its revised method (with four classes using Boolean logic and four classes using geometric mean evaluation, as well) and a new model for ecological capability evaluation for better planning management for commercial and conservational forestry in Jahrom County located in Fars Province, Iran. In this study, we assessed the potential for conservational forestry in two ways: first, by adjusting the quantitative evaluation threshold of the model’s primary topographic criterion, and then, by removing this criterion altogether. It is worth noting that the necessary information, including climatic, topographic, soil and other types, was compiled by national and local organisations in Iran for the research. The improved Boolean technique (with [Formula: see text]) outperformed the Iranian Ecological Model (with [Formula: see text]), while the revised method using geometric mean assessment and calibration (with [Formula: see text]) outperformed the other methods tested. Furthermore, when all of the forestry capacity maps were compared, conservational forestry map demonstrated a higher capability after removing the topographic criterion in the region (with [Formula: see text] for calibration technique), indicating conservational forestry’s potential in Jahrom County. Overall, because of its simplicity and excellent precision, this study may be utilised as a fundamental framework to evaluate ecological capability for other locations with similar conditions, and this model can help users and administrations undertake executive initiatives.
{"title":"Developing a New Model for Ecological Capability Evaluation of Forestry in Arid and Semi-Arid Regions","authors":"P. Jokar, M. Masoudi, M. Mathur","doi":"10.1142/s1464333222500272","DOIUrl":"https://doi.org/10.1142/s1464333222500272","url":null,"abstract":"Forest planning is a necessary requirement for long-term, economically efficient and environmentally responsible forest management and use. Iran has 12 million ha of forest cover, with 5 million ha in the mountainous Zagros area. Many of the improper uses in these forests, so far removed from the past, have resulted in significant degradation. The purpose of this paper is to check and compare the prepared methods, including the Iranian Ecological Model (with seven classes using Boolean logic), its revised method (with four classes using Boolean logic and four classes using geometric mean evaluation, as well) and a new model for ecological capability evaluation for better planning management for commercial and conservational forestry in Jahrom County located in Fars Province, Iran. In this study, we assessed the potential for conservational forestry in two ways: first, by adjusting the quantitative evaluation threshold of the model’s primary topographic criterion, and then, by removing this criterion altogether. It is worth noting that the necessary information, including climatic, topographic, soil and other types, was compiled by national and local organisations in Iran for the research. The improved Boolean technique (with [Formula: see text]) outperformed the Iranian Ecological Model (with [Formula: see text]), while the revised method using geometric mean assessment and calibration (with [Formula: see text]) outperformed the other methods tested. Furthermore, when all of the forestry capacity maps were compared, conservational forestry map demonstrated a higher capability after removing the topographic criterion in the region (with [Formula: see text] for calibration technique), indicating conservational forestry’s potential in Jahrom County. Overall, because of its simplicity and excellent precision, this study may be utilised as a fundamental framework to evaluate ecological capability for other locations with similar conditions, and this model can help users and administrations undertake executive initiatives.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43959241","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 : 2022-09-30DOI: 10.1142/s1464333222500284
Bui Huy Nhuong, Phung Thanh Quang
The paper’s main goal is to investigate and contrast the impacts of foreign direct investment (FDI) inflows on environmental protection in various Asian locations. In order to achieve this end, the validity of the Halo/Haven pollution hypothesis is examined using a panel data framework for the annual data of 32 Asian economies over the period of 2000–2019. While the sign of squared Gross Domestic Product (GDP) per capita is not statistically significant for low- and lower-middle-income group of Asian economies, which does not confirm the existence of EKC hypothesis in these countries, the main results showed that the Environmental Kuznets Curve (EKC) hypothesis exists in high- and upper-middle-income group of Asian nations. In the group of Asian nations with high- and upper-medium-incomes, there is the Halo hypothesis; in the group of nations with low- and lower-middle-incomes, there is the Haven pollution hypothesis. Important practical policies recommended by this research include promoting green finance methods, creating digital economic mechanisms, and revising laws and policies that encourage FDI in order to enhance their ability to attract foreign investors in the post-Corona era.
{"title":"Are FDI Inflows Crucial for Environmental Protection in Various Asian Regions?","authors":"Bui Huy Nhuong, Phung Thanh Quang","doi":"10.1142/s1464333222500284","DOIUrl":"https://doi.org/10.1142/s1464333222500284","url":null,"abstract":"The paper’s main goal is to investigate and contrast the impacts of foreign direct investment (FDI) inflows on environmental protection in various Asian locations. In order to achieve this end, the validity of the Halo/Haven pollution hypothesis is examined using a panel data framework for the annual data of 32 Asian economies over the period of 2000–2019. While the sign of squared Gross Domestic Product (GDP) per capita is not statistically significant for low- and lower-middle-income group of Asian economies, which does not confirm the existence of EKC hypothesis in these countries, the main results showed that the Environmental Kuznets Curve (EKC) hypothesis exists in high- and upper-middle-income group of Asian nations. In the group of Asian nations with high- and upper-medium-incomes, there is the Halo hypothesis; in the group of nations with low- and lower-middle-incomes, there is the Haven pollution hypothesis. Important practical policies recommended by this research include promoting green finance methods, creating digital economic mechanisms, and revising laws and policies that encourage FDI in order to enhance their ability to attract foreign investors in the post-Corona era.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43541391","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 : 2022-09-28DOI: 10.1142/s1464333222500260
S. Darling, Blane Harvey, G. Hickey
Impact assessment (IA) involves complex interactions among societal actors with diverse knowledge systems and worldviews (ontological pluralism) that ideally combine to both define and support societal goals, such as sustainable development. An often acknowledged but rarely explored concept in these efforts is research capacity — the ability of a group to engage, produce, maintain and use knowledge — and associated implications for pluralistic process outcomes. This paper presents an embedded case study of the IA policy network in the Yukon Territory, Canada, to explore the various roles of research capacity in a well-established IA process where Indigenous and public representation are guaranteed, as is financial support for boundary spanning and knowledge brokering roles to support pluralism. Using Rapid Policy Network Mapping, we examine the formal and informal connections amongst IA policy actors and identify sources and flows of knowledge throughout the network. Results indicate that while research capacity is critical to well-functioning IA processes in the Yukon Territory, the ability of the IA policy network to source, disseminate and engage new knowledge is limited. Important boundary spanning ‘choke points’ can act as both facilitators and barriers, based on the capacity of the knowledge brokers occupying these spaces. The findings inform policy efforts to ensure inclusion and advance pluralism in IA processes.
{"title":"Advancing Pluralism in Impact Assessment Through Research Capacity: Lessons from the Yukon Territory, Canada","authors":"S. Darling, Blane Harvey, G. Hickey","doi":"10.1142/s1464333222500260","DOIUrl":"https://doi.org/10.1142/s1464333222500260","url":null,"abstract":"Impact assessment (IA) involves complex interactions among societal actors with diverse knowledge systems and worldviews (ontological pluralism) that ideally combine to both define and support societal goals, such as sustainable development. An often acknowledged but rarely explored concept in these efforts is research capacity — the ability of a group to engage, produce, maintain and use knowledge — and associated implications for pluralistic process outcomes. This paper presents an embedded case study of the IA policy network in the Yukon Territory, Canada, to explore the various roles of research capacity in a well-established IA process where Indigenous and public representation are guaranteed, as is financial support for boundary spanning and knowledge brokering roles to support pluralism. Using Rapid Policy Network Mapping, we examine the formal and informal connections amongst IA policy actors and identify sources and flows of knowledge throughout the network. Results indicate that while research capacity is critical to well-functioning IA processes in the Yukon Territory, the ability of the IA policy network to source, disseminate and engage new knowledge is limited. Important boundary spanning ‘choke points’ can act as both facilitators and barriers, based on the capacity of the knowledge brokers occupying these spaces. The findings inform policy efforts to ensure inclusion and advance pluralism in IA processes.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45031015","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 : 2022-09-02DOI: 10.1142/s1464333222500259
Xiaohang Ren, Jianing Qin, Kangyin Dong
This paper explores the direct and indirect relationship between climate policy uncertainty and excessive corporate debt, and focuses on the moderating effect of financing constraints. We use the climate policy uncertainty index to represent climate policy uncertainty, and use the Kaplan and Zingales (KZ) index to represent financing constraints. Our study employs data from Chinese non-financial listed companies for the period 2007–2020. The results show that climate policy uncertainty not only directly curbs excessive debt, but also indirectly reduces excessive debt by increasing financing constraints. This direct weakening effect is more pronounced in non-state-owned enterprises, high-tech enterprises, and high-carbon enterprises. Moreover, the financing constraints channel is more effective in state-owned enterprises, high-tech enterprises, and high-carbon enterprises. Furthermore, due to the actual situation in China, the direct weakening effect of climate policy uncertainty is very obvious in the central region, while the indirect effect through the financing constraints channel is most obvious in the western region. These empirical findings will help policymakers, managers, and financial institutions to reconsider financing risk under climate policy uncertainty.
{"title":"How Does Climate Policy Uncertainty Affect Excessive Corporate Debt? The Case of China","authors":"Xiaohang Ren, Jianing Qin, Kangyin Dong","doi":"10.1142/s1464333222500259","DOIUrl":"https://doi.org/10.1142/s1464333222500259","url":null,"abstract":"This paper explores the direct and indirect relationship between climate policy uncertainty and excessive corporate debt, and focuses on the moderating effect of financing constraints. We use the climate policy uncertainty index to represent climate policy uncertainty, and use the Kaplan and Zingales (KZ) index to represent financing constraints. Our study employs data from Chinese non-financial listed companies for the period 2007–2020. The results show that climate policy uncertainty not only directly curbs excessive debt, but also indirectly reduces excessive debt by increasing financing constraints. This direct weakening effect is more pronounced in non-state-owned enterprises, high-tech enterprises, and high-carbon enterprises. Moreover, the financing constraints channel is more effective in state-owned enterprises, high-tech enterprises, and high-carbon enterprises. Furthermore, due to the actual situation in China, the direct weakening effect of climate policy uncertainty is very obvious in the central region, while the indirect effect through the financing constraints channel is most obvious in the western region. These empirical findings will help policymakers, managers, and financial institutions to reconsider financing risk under climate policy uncertainty.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43127370","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}
The varied opinions on financial developmental impacts on growth in different economies have been the subject of considerable debates among economists during the last two decades, especially in natural-resource-rich countries. However, the role of financial development on a crucial channel of growth, i.e. social capital, has been neglected. Unlike previous studies, the level of income in resource-based economies has been considered an important factor influencing the way financial development affects social capital-resource rents’ interactions. Thus, in this paper, the impact of financial development as an infrastructure to turn natural capital into social capital has been investigated in two groups of resource-abundant countries using a panel data model during 2009:Q1-2016:Q4. The empirical results in the case of high-income economies show that a high level of financial development can ensure resource rents, positively influencing social capital. However, findings indicate an adverse impact of natural resource rents on social capital in medium-income countries.
{"title":"Natural Resource Rents and Social Capital Interaction: New Evidence on the Role of Financial Development","authors":"Farzaneh Ahmadian-Yazdi, Mahsa Mesgarani, Soheil Roudari","doi":"10.1142/s1464333222500211","DOIUrl":"https://doi.org/10.1142/s1464333222500211","url":null,"abstract":"The varied opinions on financial developmental impacts on growth in different economies have been the subject of considerable debates among economists during the last two decades, especially in natural-resource-rich countries. However, the role of financial development on a crucial channel of growth, i.e. social capital, has been neglected. Unlike previous studies, the level of income in resource-based economies has been considered an important factor influencing the way financial development affects social capital-resource rents’ interactions. Thus, in this paper, the impact of financial development as an infrastructure to turn natural capital into social capital has been investigated in two groups of resource-abundant countries using a panel data model during 2009:Q1-2016:Q4. The empirical results in the case of high-income economies show that a high level of financial development can ensure resource rents, positively influencing social capital. However, findings indicate an adverse impact of natural resource rents on social capital in medium-income countries.","PeriodicalId":35909,"journal":{"name":"Journal of Environmental Assessment Policy and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43511689","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：