Pub Date : 2024-03-01DOI: 10.47852/bonviewglce42022352
Bin Zheng, Wenfeng Chen, Lianshui Li
Accurate understanding of the spatial and temporal development of the agglomeration of green high-tech industries holds significant importance for the scientific formulation of policies promoting industrial innovation and development. This has attracted increasing attention from scholars. Utilizing nearly a decade's worth of statistical data on China's green high-tech industries, this paper employs methods from spatial geography and other disciplines to analyze the temporal and spatial variations, as well as the agglomeration characteristics of these industries in China. A comprehensive analysis of the development levels of China's high-tech industries and their sub-sectors is conducted through calculations of spatial Gini coefficients, industrial concentration ratios, location quotients, and coefficients of variation.Results indicate that the four key indicators of the development of China's major high-tech industries, namely the number of enterprises, employment figures, operating income, and profits, exhibit linear growth trends. Overall, the agglomeration level of the industry shows a fluctuating downward trend. The regional agglomeration level follows a gradient distribution trend of "eastern region - central region - western region - northeastern region," with a decreasing concentration trend. Regional disparities in the agglomeration level of industries evolve over time, with an increasing concentration in the western and central regions, and a decreasing concentration in the eastern and northeastern regions. From a provincial perspective, Guangdong and Jiangsu provinces stand out with significantly higher levels of development in high-tech industries.Furthermore, distinct differences are observed in the development processes of four typical industries. The agglomeration levels, ranked from high to low, are as follows: computer and office equipment manufacturing, electronic information and communication equipment manufacturing, medical device manufacturing, and pharmaceutical manufacturing，the development of the four types of industries has undergone certain transfers and optimizations.
{"title":"Research on the Agglomeration and Spatiotemporal Development of China's Green High-Tech Industries","authors":"Bin Zheng, Wenfeng Chen, Lianshui Li","doi":"10.47852/bonviewglce42022352","DOIUrl":"https://doi.org/10.47852/bonviewglce42022352","url":null,"abstract":"Accurate understanding of the spatial and temporal development of the agglomeration of green high-tech industries holds significant importance for the scientific formulation of policies promoting industrial innovation and development. This has attracted increasing attention from scholars. Utilizing nearly a decade's worth of statistical data on China's green high-tech industries, this paper employs methods from spatial geography and other disciplines to analyze the temporal and spatial variations, as well as the agglomeration characteristics of these industries in China. A comprehensive analysis of the development levels of China's high-tech industries and their sub-sectors is conducted through calculations of spatial Gini coefficients, industrial concentration ratios, location quotients, and coefficients of variation.Results indicate that the four key indicators of the development of China's major high-tech industries, namely the number of enterprises, employment figures, operating income, and profits, exhibit linear growth trends. Overall, the agglomeration level of the industry shows a fluctuating downward trend. The regional agglomeration level follows a gradient distribution trend of \"eastern region - central region - western region - northeastern region,\" with a decreasing concentration trend. Regional disparities in the agglomeration level of industries evolve over time, with an increasing concentration in the western and central regions, and a decreasing concentration in the eastern and northeastern regions. From a provincial perspective, Guangdong and Jiangsu provinces stand out with significantly higher levels of development in high-tech industries.Furthermore, distinct differences are observed in the development processes of four typical industries. The agglomeration levels, ranked from high to low, are as follows: computer and office equipment manufacturing, electronic information and communication equipment manufacturing, medical device manufacturing, and pharmaceutical manufacturing，the development of the four types of industries has undergone certain transfers and optimizations.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"28 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140084232","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 : 2024-01-26DOI: 10.47852/bonviewglce4202888
Danielle Mendes Thame Denny, C. Cerri, M. Cherubin, Heloisa Lee Burnquist
Latin America is a region with abundant natural resources and diverse cultures, much of which lies between the tropics. Sustainable agriculture, pasture, and forestry practices can have a reduced environmental impact in this region compared to other parts of the world. These integrated systems practices can create a balanced use of chemical inputs, harmonious relations between humans and soil-plants-livestock, and even provide a nature-based solution to climate change by sequestering carbon emissions and are also less likely to lead to soil degradation. These practices are central to a new economic paradigm focused on a sustainable and circular bioeconomy and depend on public policies, incentives, financial mechanisms, and commitments from the business. Carbon farming sustainable agriculture focused on increasing soil health and reducing emissions can gain scale with market-driven mechanisms to surpass the various challenges. This paper presents condensed information from primary and secondary sources, representing established knowledge in the field of soil carbon sequestration in agricultural lands and its role in carbon neutrality. By implementing these strategies, we can support farmers while contributing to the objectives set by the Paris Agreement and the UN's Sustainable Development Goals.
{"title":"Nature-Based Solutions: Sustainable Development of Latin America","authors":"Danielle Mendes Thame Denny, C. Cerri, M. Cherubin, Heloisa Lee Burnquist","doi":"10.47852/bonviewglce4202888","DOIUrl":"https://doi.org/10.47852/bonviewglce4202888","url":null,"abstract":"Latin America is a region with abundant natural resources and diverse cultures, much of which lies between the tropics. Sustainable agriculture, pasture, and forestry practices can have a reduced environmental impact in this region compared to other parts of the world. These integrated systems practices can create a balanced use of chemical inputs, harmonious relations between humans and soil-plants-livestock, and even provide a nature-based solution to climate change by sequestering carbon emissions and are also less likely to lead to soil degradation. These practices are central to a new economic paradigm focused on a sustainable and circular bioeconomy and depend on public policies, incentives, financial mechanisms, and commitments from the business. Carbon farming sustainable agriculture focused on increasing soil health and reducing emissions can gain scale with market-driven mechanisms to surpass the various challenges. This paper presents condensed information from primary and secondary sources, representing established knowledge in the field of soil carbon sequestration in agricultural lands and its role in carbon neutrality. By implementing these strategies, we can support farmers while contributing to the objectives set by the Paris Agreement and the UN's Sustainable Development Goals.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"59 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139594133","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 : 2024-01-23DOI: 10.47852/bonviewglce42021699
Keyu Zhan, Dongxiu Wu
Financial incentives have been introduced to guide financial institutions to increase green credit allocation, strengthen environmental risk management, and enhance support for green and low-carbon development. This paper investigated the government’s support for the carbon-emission supply chain by implementing green credit incentives. Two financial incentives are explored: performance-based incentives and interest subsidies. We conduct game-theoretic models to examine the characteristics and effects of two financial incentives on the supply chain. Our results reveal that: (1) both incentives are effective in scaling up supply chain performance and stimulate investment in emission reduction, while the mechanism differs according to the direct beneficiaries; (2) performance-based incentives are more sensitive to environmental damage, while the optimal subsidy ratio is more sensitive to consumer green awareness, indicating that the bank has an instinctive aversion to the risks inherent in abatement investments; (3) it is optimal for the government to intervene in green credit financing activities when environmental advantages and costs and consumer green consciousness are recognized. Our conclusions suggest the government can determine financial incentives for green credit based on the stage of green transition development and the real, demanding requirements of transition goals.
{"title":"Impact of Green Credit Incentives on Operational Decisions of Green Supply Chain","authors":"Keyu Zhan, Dongxiu Wu","doi":"10.47852/bonviewglce42021699","DOIUrl":"https://doi.org/10.47852/bonviewglce42021699","url":null,"abstract":"Financial incentives have been introduced to guide financial institutions to increase green credit allocation, strengthen environmental risk management, and enhance support for green and low-carbon development. This paper investigated the government’s support for the carbon-emission supply chain by implementing green credit incentives. Two financial incentives are explored: performance-based incentives and interest subsidies. We conduct game-theoretic models to examine the characteristics and effects of two financial incentives on the supply chain. Our results reveal that: (1) both incentives are effective in scaling up supply chain performance and stimulate investment in emission reduction, while the mechanism differs according to the direct beneficiaries; (2) performance-based incentives are more sensitive to environmental damage, while the optimal subsidy ratio is more sensitive to consumer green awareness, indicating that the bank has an instinctive aversion to the risks inherent in abatement investments; (3) it is optimal for the government to intervene in green credit financing activities when environmental advantages and costs and consumer green consciousness are recognized. Our conclusions suggest the government can determine financial incentives for green credit based on the stage of green transition development and the real, demanding requirements of transition goals.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"138 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139604732","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 : 2024-01-23DOI: 10.47852/bonviewglce42021263
Damilola Adijat Ogundana, M. Khan, Jayakumar Chinnasamy, Pongiannan Karuppusamy
This paper focuses on the impact of the COVID-19 pandemic on the corporate social responsibility reporting (CSRR) practice of the UK’s banking industry. It particularly examines the extent to which the banks’ quality and quantity have changed in the wake of the pandemic. In addition, it explores changes in the banks’ CSR dimension focus and investigates how the COVID-19 outbreak has influenced the utilisation of visuals in CSR reports. Furthermore, the paper follows a deductive approach and uses an archival research strategy. Content analysis technique was used to analyse CSR reports. Global reporting initiative (GRI) standards were adopted to formulate criteria for coding data before performing a one-way analysis of variance (ANOVA) test to analyse data collected for reporting quality and CSR dimension variables. The research reveals no statistically significant changes, and a lack of accountability in CSR reporting quality by the banks in the face of the COVID-19 crisis. It was found that, on the whole, the pandemic has not led to an increase in the quantity of banks’ CSR reports. The findings also show that CSR reports focus during the pandemic has been predominantly on the economic dimension. In addition, it was found that, despite focusing on the economic dimension of CSR, the use of photographic images depicting societal commitments increased significantly in CSR reports published during the COVID-19 pandemic. The research suggests that CSR reporting practice of UK banks during the COVID-19 pandemic has been driven by legitimacy theory.
{"title":"The Impact of the COVID-19 Pandemic on the Corporate Social Responsibility (CSR) Reporting Practices of the Banking Industry in the United Kingdom","authors":"Damilola Adijat Ogundana, M. Khan, Jayakumar Chinnasamy, Pongiannan Karuppusamy","doi":"10.47852/bonviewglce42021263","DOIUrl":"https://doi.org/10.47852/bonviewglce42021263","url":null,"abstract":"This paper focuses on the impact of the COVID-19 pandemic on the corporate social responsibility reporting (CSRR) practice of the UK’s banking industry. It particularly examines the extent to which the banks’ quality and quantity have changed in the wake of the pandemic. In addition, it explores changes in the banks’ CSR dimension focus and investigates how the COVID-19 outbreak has influenced the utilisation of visuals in CSR reports. Furthermore, the paper follows a deductive approach and uses an archival research strategy. Content analysis technique was used to analyse CSR reports. Global reporting initiative (GRI) standards were adopted to formulate criteria for coding data before performing a one-way analysis of variance (ANOVA) test to analyse data collected for reporting quality and CSR dimension variables. The research reveals no statistically significant changes, and a lack of accountability in CSR reporting quality by the banks in the face of the COVID-19 crisis. It was found that, on the whole, the pandemic has not led to an increase in the quantity of banks’ CSR reports. The findings also show that CSR reports focus during the pandemic has been predominantly on the economic dimension. In addition, it was found that, despite focusing on the economic dimension of CSR, the use of photographic images depicting societal commitments increased significantly in CSR reports published during the COVID-19 pandemic. The research suggests that CSR reporting practice of UK banks during the COVID-19 pandemic has been driven by legitimacy theory.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"118 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139605529","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}
Model simulation evaluation is crucial for selecting the best regional climate models, as their performance may vary across different locations or variables. This research aims to examine and correct potential biases in the CORDEX ensemble climate dataset over the period of 1987-2005 so as to establish trust in utilizing the CORDEX ensemble forecasts for climate change impact assessment focusing on the UTRB. The Pearson correlation coefficient is employed to assess the degree of correlation between CORDEX and observation data, and the applicability of the CORDEX ensemble data for the UTRB. The statistical analysis reveals a significant correlation between the monthly mean rainfall and temperature in the CORDEX-Africa ensemble simulation and the corresponding observation data for most of the 18 stations. The finding suggests that the CORDEX-Africa ensemble dataset holds promise for future climate projection in the UTRB. The statistical approaches of bias, RMSE, and MAE are employed to assess the adequacy of the CORDEX ensemble model in reproducing observed data. Various bias correction approaches are employed to enhance the accuracy of rainfall and temperature datasets, addressing discrepancies from over and under simulation. The reliability evaluation results indicate that the CORDEX-Africa ensemble precipitation and temperature data set has undergone bias adjustment in order to accurately reproduce the observed gridded dataset for the same period. This adjustment was performed using various methodologies across the 18 stations. Following the bias modifications, the CORDEX ensemble's precipitation and temperature dataset exhibited a high degree of concordance with the grid observation dataset across all 18 observation stations, for the corresponding time. The approaches utilized in this work possess the potential for practical applicability in generating dependable climate data that may be employed in evaluating and forecasting the consequences of climate change using globally accessible data resources.
{"title":"Evaluation of CORDEX-Africa Model Data Reliability and Bias Correction for Climate Change Impact Assessment: Upper Tekeze River Basin, Tigray (Ethiopia)","authors":"Ghrmawit Haile Gebrehiwot, Kassahun Ture Bekitie, Fikru Abiko, W. Seifu, Haftu Brhane Gebremichael","doi":"10.47852/bonviewglce42021893","DOIUrl":"https://doi.org/10.47852/bonviewglce42021893","url":null,"abstract":"Model simulation evaluation is crucial for selecting the best regional climate models, as their performance may vary across different locations or variables. This research aims to examine and correct potential biases in the CORDEX ensemble climate dataset over the period of 1987-2005 so as to establish trust in utilizing the CORDEX ensemble forecasts for climate change impact assessment focusing on the UTRB. The Pearson correlation coefficient is employed to assess the degree of correlation between CORDEX and observation data, and the applicability of the CORDEX ensemble data for the UTRB. The statistical analysis reveals a significant correlation between the monthly mean rainfall and temperature in the CORDEX-Africa ensemble simulation and the corresponding observation data for most of the 18 stations. The finding suggests that the CORDEX-Africa ensemble dataset holds promise for future climate projection in the UTRB. The statistical approaches of bias, RMSE, and MAE are employed to assess the adequacy of the CORDEX ensemble model in reproducing observed data. Various bias correction approaches are employed to enhance the accuracy of rainfall and temperature datasets, addressing discrepancies from over and under simulation. The reliability evaluation results indicate that the CORDEX-Africa ensemble precipitation and temperature data set has undergone bias adjustment in order to accurately reproduce the observed gridded dataset for the same period. This adjustment was performed using various methodologies across the 18 stations. Following the bias modifications, the CORDEX ensemble's precipitation and temperature dataset exhibited a high degree of concordance with the grid observation dataset across all 18 observation stations, for the corresponding time. The approaches utilized in this work possess the potential for practical applicability in generating dependable climate data that may be employed in evaluating and forecasting the consequences of climate change using globally accessible data resources.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"128 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139604977","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 : 2024-01-16DOI: 10.47852/bonviewglce42021582
Natalia Bliznina
The current definition of the Gross Domestic Product (GDP) is based on industrial sectors and technological advancement correlated with Industry 1.0, Industry 2.0, and Industry 3.0. Considering that the economics sectors have shifted towards Industry 4.0 and Industry 5.0 there is a necessity to redefine a key economic development indicator to match the current imperative of the economy. The research question is: How can the Gross Domestic Product (GDP) definition be improved to address the current imperative of economy to be consistent with the technological advancement of Industry 4.0 and Industry 5.0? The summary, evaluation, and analysis of the existing literature in the emerging field of advanced manufacturing was used to address this research question. The updated definition of GDP was developed because of this review: the Sustainable GDP is the standard measure of the value added created through the production of goods and services determining the proportional value of goods and services produced employing renewables, the proportional value of goods and services produced applying digitisation, and the proportional value of goods and services produced using inputs into production from recycling and remanufacturing in a country during a certain period.
目前对国内生产总值（GDP）的定义是基于工业部门以及与工业 1.0、工业 2.0 和工业 3.0 相关的技术进步。考虑到经济部门已转向工业 4.0 和工业 5.0，有必要重新定义一个关键的经济发展指标，以适应当前经济的迫切需要。研究问题是：如何改进国内生产总值（GDP）的定义，以应对当前的经济需求，从而与工业 4.0 和工业 5.0 的技术进步保持一致？为解决这一研究问题，我们对先进制造业这一新兴领域的现有文献进行了总结、评估和分析。在此基础上，对 GDP 的定义进行了更新：可持续 GDP 是衡量一个国家在一定时期内通过生产商品和服务创造的附加值的标准，它决定了使用可再生能源生产的商品和服务的价值比例、使用数字化生产的商品和服务的价值比例，以及使用回收和再制造投入生产的商品和服务的价值比例。
{"title":"Redefining Economic Growth: the Review of Industry 4.0 and Industry 5.0 Progress","authors":"Natalia Bliznina","doi":"10.47852/bonviewglce42021582","DOIUrl":"https://doi.org/10.47852/bonviewglce42021582","url":null,"abstract":"The current definition of the Gross Domestic Product (GDP) is based on industrial sectors and technological advancement correlated with Industry 1.0, Industry 2.0, and Industry 3.0. Considering that the economics sectors have shifted towards Industry 4.0 and Industry 5.0 there is a necessity to redefine a key economic development indicator to match the current imperative of the economy. The research question is: How can the Gross Domestic Product (GDP) definition be improved to address the current imperative of economy to be consistent with the technological advancement of Industry 4.0 and Industry 5.0? The summary, evaluation, and analysis of the existing literature in the emerging field of advanced manufacturing was used to address this research question. The updated definition of GDP was developed because of this review: the Sustainable GDP is the standard measure of the value added created through the production of goods and services determining the proportional value of goods and services produced employing renewables, the proportional value of goods and services produced applying digitisation, and the proportional value of goods and services produced using inputs into production from recycling and remanufacturing in a country during a certain period.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":" 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139619073","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 : 2024-01-15DOI: 10.47852/bonviewglce42021691
Inês Carrilho-Nunes, Margarida Catalão‐Lopes
Research concerning energy transition has grown at a high pace over the past decade, exploring a variety of topics. This article provides a systematic literature review focused on the factors and policy routes that can support and expedite the transition to a low carbon energy paradigm. The results of the bibliographic search follow a theoretical organizational lens and are grouped into four main categories - economic, technological, social, and policy. Key findings include the role of environmental policy as the crucial driver for progress, as well as the need for active participation from industry, economic, and policy agents, along with energy experts. In addition, the lack of literature regarding developing and lower-income nations is highlighted. A discussion and practical implications of the results are provided within the context of the four main categories and with a prosperous post-transition society in mind. Our findings are relevant for policymakers, administrators, and all stakeholders involved in integrating low carbon initiatives and policies within their organizational structures.
{"title":"Factors Influencing the Transition to a Low Carbon Energy Paradigm: A Systemic Literature Review","authors":"Inês Carrilho-Nunes, Margarida Catalão‐Lopes","doi":"10.47852/bonviewglce42021691","DOIUrl":"https://doi.org/10.47852/bonviewglce42021691","url":null,"abstract":"Research concerning energy transition has grown at a high pace over the past decade, exploring a variety of topics. This article provides a systematic literature review focused on the factors and policy routes that can support and expedite the transition to a low carbon energy paradigm. The results of the bibliographic search follow a theoretical organizational lens and are grouped into four main categories - economic, technological, social, and policy. Key findings include the role of environmental policy as the crucial driver for progress, as well as the need for active participation from industry, economic, and policy agents, along with energy experts. In addition, the lack of literature regarding developing and lower-income nations is highlighted. A discussion and practical implications of the results are provided within the context of the four main categories and with a prosperous post-transition society in mind. Our findings are relevant for policymakers, administrators, and all stakeholders involved in integrating low carbon initiatives and policies within their organizational structures.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"121 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622562","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 : 2023-12-15DOI: 10.47852/bonviewglce32021218
S. Srinivasan, Vamshi Krishna Reddy Kottam
The installation of household-scale renewable energy (RE) assets including the likes of solar home systems, micro-wind turbines, pico-hydro systems, biomass space heaters and improved cook-stoves, offers householders various benefits. These include the possibility of working longer hours, enhancing the efficiency of production processes, improving the quality of life, and of gaining greater control over their immediate environment. In several settings, artisans pursuing the same vocation work from homes located in clusters. Consequent to procuring and deploying the RE asset, the community of individual investors bestows upon itself the option to derive incremental money incomes. This is subject to each member’s access to working-capital credit and raw material,skill levels and levels of effort, productivity, and more. This paper argues that householders assess the option to derive incremental incomes and go on to makethe investment decision in RE micro-infrastructure based on the estimated value of such options. The model so developed is applied to a community of silk weavers in southern India to estimate the premiumsthatinvestors pay to opt into derivingincremental incomes. This study could estimate that by installing a Solar Home System, a weaver could derive an economic benefit of 17.36% and an intangible benefit of 82.64% of the amount invested into the asset.
{"title":"Real Option Valuation Methodology for Household-Scale Renewable Energy Systems","authors":"S. Srinivasan, Vamshi Krishna Reddy Kottam","doi":"10.47852/bonviewglce32021218","DOIUrl":"https://doi.org/10.47852/bonviewglce32021218","url":null,"abstract":"The installation of household-scale renewable energy (RE) assets including the likes of solar home systems, micro-wind turbines, pico-hydro systems, biomass space heaters and improved cook-stoves, offers householders various benefits. These include the possibility of working longer hours, enhancing the efficiency of production processes, improving the quality of life, and of gaining greater control over their immediate environment. In several settings, artisans pursuing the same vocation work from homes located in clusters. Consequent to procuring and deploying the RE asset, the community of individual investors bestows upon itself the option to derive incremental money incomes. This is subject to each member’s access to working-capital credit and raw material,skill levels and levels of effort, productivity, and more. This paper argues that householders assess the option to derive incremental incomes and go on to makethe investment decision in RE micro-infrastructure based on the estimated value of such options. The model so developed is applied to a community of silk weavers in southern India to estimate the premiumsthatinvestors pay to opt into derivingincremental incomes. This study could estimate that by installing a Solar Home System, a weaver could derive an economic benefit of 17.36% and an intangible benefit of 82.64% of the amount invested into the asset.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"37 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000657","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 : 2023-12-15DOI: 10.47852/bonviewglce32021749
Ahmad Nawaz, Muhammad Shakeel
This study examines the dynamic effects of tourism and institutional governance along with other variables on CO2 emissions (COE) in the 15 selected European Union (EU) economies over the period 1995-2018. The novel empirical evidence of this study is twofold. First, countries’ bloc effect is controlled based on the entry and exit information of EU countries, and second, in order to capture and better apprehend the aspects of institutional quality meaningful for carbon-neutral tourism in sample countries, interaction effects of tourism receipts and index of institutional quality are examined. For the robust results, non-linear autoregressive distributed lag (ARDL), fixed effects and generalized method of moments (GMM) based models are estimated, wherein the results of the non-linear ARDL approach reveal that there are no asymmetric effects of tourism and institutional quality, that intrinsically affect pollution. Specifically, the findings reveal that tourism development and trade openness can reduce COE. Also, there is evidence of the existence of an environmental Kuznets curve (EKC) in the region. Though institutional quality alone has been found to have an unfavorable impact on the environment yet the interaction term of tourism and institutional quality into the framework reveals a significant and negative impact on COE in the selected region. Therefore, it is suggested that the EU economies should develop effective strategies to improve their present institutional governance framework in such a manner that will help to promote tourism, green purchase intentions of tourists, economic development, trade liberalization and environmental quality.
{"title":"Tourism Development and Environmental Sustainability in the European Union: Moderating Role of Institutional Governance","authors":"Ahmad Nawaz, Muhammad Shakeel","doi":"10.47852/bonviewglce32021749","DOIUrl":"https://doi.org/10.47852/bonviewglce32021749","url":null,"abstract":"This study examines the dynamic effects of tourism and institutional governance along with other variables on CO2 emissions (COE) in the 15 selected European Union (EU) economies over the period 1995-2018. The novel empirical evidence of this study is twofold. First, countries’ bloc effect is controlled based on the entry and exit information of EU countries, and second, in order to capture and better apprehend the aspects of institutional quality meaningful for carbon-neutral tourism in sample countries, interaction effects of tourism receipts and index of institutional quality are examined. For the robust results, non-linear autoregressive distributed lag (ARDL), fixed effects and generalized method of moments (GMM) based models are estimated, wherein the results of the non-linear ARDL approach reveal that there are no asymmetric effects of tourism and institutional quality, that intrinsically affect pollution. Specifically, the findings reveal that tourism development and trade openness can reduce COE. Also, there is evidence of the existence of an environmental Kuznets curve (EKC) in the region. Though institutional quality alone has been found to have an unfavorable impact on the environment yet the interaction term of tourism and institutional quality into the framework reveals a significant and negative impact on COE in the selected region. Therefore, it is suggested that the EU economies should develop effective strategies to improve their present institutional governance framework in such a manner that will help to promote tourism, green purchase intentions of tourists, economic development, trade liberalization and environmental quality.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000802","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 : 2023-12-13DOI: 10.47852/bonviewglce32021397
Phuong Mai Nguyen, Minh Thanh Chu, Minh Duong Nguyen
In recent years, sustainable lifestyles (SLS) has emerged as a topic that addresses the trend of sustainable development globally. However, most developing and emerging economies have not put adequate effort to promote SLS. Vietnam is not an exception. There is not much evidence of how Vietnamese people are responding to the urgent call of actions towards sustainable development. In such a context, this paper explores how demographic factors shape the SLS in Vietnam. An online survey was implemented to gather primary data from Vietnamese people in four months. Finally, we received 385 valid responses. ANOVA tests were employed to check the proposed hypotheses about the differences in SLS regarding age, gender, and income. Research results revealed that age, gender and income are not associated with the SLS of Vietnamese people. Our findings imply that the Vietnamese government should play a proactive role in promoting SLS. Some recommendations were proposed, including investment in public transportation, sustainable product design, zero-waste policies, and the like.
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