Pub Date : 2023-09-22DOI: 10.47852/bonviewglce32021335
Narcisa Roxana Moşteanu
The contemporary corporate landscape is undergoing a major shift, marked by a dual transformation towards sustainability and intelligent automation. As the world faces complex social and environmental challenges, entrepreneurs find themselves at a crossroads of unprecedented opportunities and daunting challenges. This study addresses the critical point where sustainability intersects with business automation, focusing on the complicated dynamics that entrepreneurs must navigate. The main concern is the need for entrepreneurs to effectively infuse the principles of sustainability and intelligent automation into their businesses. Recognizing the growing demand for environmentally conscious products and services alongside the profound impact of automation, entrepreneurs face the pressing challenge of crafting strategies that holistically embrace these paradigms. Thus, the study aims to discern the multifaceted landscape of entrepreneurial endeavors in this context. Methodologically, a combination of qualitative interviews with experienced entrepreneurs and quantitative surveys from various industries will be used, followed by thematic analysis to highlight general patterns. The study is based on a fusion of sustainable business frameworks and technology adoption models that support the exploration of entrepreneurial resilience in the context of sustainability and automation. The outcomes include an enriched understanding of the complex interplay between these dimensions and the discovery of strategies that fuel entrepreneurial triumph. This study's exploration of the intersection of sustainability, automation and entrepreneurship resonates deeply with the principles of the green economy. By dissecting the challenges and strategies entrepreneurs use to embrace sustainability and automation, the research contributes valuable insights to the ongoing discourse on sustainable business practices within a burgeoning green economy. The findings will assist policy makers by providing useful information to cultivate an environment conducive to sustainable, technology-based entrepreneurship.
{"title":"Thriving in the Entrepreneurial Landscape of Sustainability and Intelligent Automation Era","authors":"Narcisa Roxana Moşteanu","doi":"10.47852/bonviewglce32021335","DOIUrl":"https://doi.org/10.47852/bonviewglce32021335","url":null,"abstract":"The contemporary corporate landscape is undergoing a major shift, marked by a dual transformation towards sustainability and intelligent automation. As the world faces complex social and environmental challenges, entrepreneurs find themselves at a crossroads of unprecedented opportunities and daunting challenges. This study addresses the critical point where sustainability intersects with business automation, focusing on the complicated dynamics that entrepreneurs must navigate. The main concern is the need for entrepreneurs to effectively infuse the principles of sustainability and intelligent automation into their businesses. Recognizing the growing demand for environmentally conscious products and services alongside the profound impact of automation, entrepreneurs face the pressing challenge of crafting strategies that holistically embrace these paradigms. Thus, the study aims to discern the multifaceted landscape of entrepreneurial endeavors in this context. Methodologically, a combination of qualitative interviews with experienced entrepreneurs and quantitative surveys from various industries will be used, followed by thematic analysis to highlight general patterns. The study is based on a fusion of sustainable business frameworks and technology adoption models that support the exploration of entrepreneurial resilience in the context of sustainability and automation. The outcomes include an enriched understanding of the complex interplay between these dimensions and the discovery of strategies that fuel entrepreneurial triumph. This study's exploration of the intersection of sustainability, automation and entrepreneurship resonates deeply with the principles of the green economy. By dissecting the challenges and strategies entrepreneurs use to embrace sustainability and automation, the research contributes valuable insights to the ongoing discourse on sustainable business practices within a burgeoning green economy. The findings will assist policy makers by providing useful information to cultivate an environment conducive to sustainable, technology-based entrepreneurship.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060392","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 : 2023-09-22DOI: 10.47852/bonviewglce32021372
Edward Lambert, Kanbiro Orkaido Deyganto
A green legacy initiative plays a crucial role in promoting a healthy environment in Ethiopia by restoring ecosystems, mitigating climate change, and fostering environmental awareness and stewardship. Through its tree planting efforts, the initiative aims to create a sustainable and resilient environment that benefits both nature and the people of Ethiopia. The research gap lies in the need for comprehensive studies that assess the impact of the Green Legacy initiative on promoting a healthy environment in Ethiopia. This includes evaluating its impact on biodiversity conservation, soil conservation, and the social and health outcomes of local communities. The mixed research method was employed to have reliable findings on the topic. The regression result was evidenced that tree planting, growing trees for carbon sequestration, biodiversity conservation, soil conservation, community engagement, climate education have positive statistically significant effect on healthy environment in Ethiopia. Based on the research findings, the researchers were forwarded the recommendations for policy makers and government of Ethiopia to take in to consideration the six parameters of green legacy in implementing green legacy incentives in Ethiopia. Addressing these parameters of green legacy will provide a more holistic understanding of the initiative's effectiveness and contribute to evidence-based decision-making for sustainable environmental management in Ethiopia.
{"title":"The Impact of Green Legacy on Climate Change in Ethiopia","authors":"Edward Lambert, Kanbiro Orkaido Deyganto","doi":"10.47852/bonviewglce32021372","DOIUrl":"https://doi.org/10.47852/bonviewglce32021372","url":null,"abstract":"A green legacy initiative plays a crucial role in promoting a healthy environment in Ethiopia by restoring ecosystems, mitigating climate change, and fostering environmental awareness and stewardship. Through its tree planting efforts, the initiative aims to create a sustainable and resilient environment that benefits both nature and the people of Ethiopia. The research gap lies in the need for comprehensive studies that assess the impact of the Green Legacy initiative on promoting a healthy environment in Ethiopia. This includes evaluating its impact on biodiversity conservation, soil conservation, and the social and health outcomes of local communities. The mixed research method was employed to have reliable findings on the topic. The regression result was evidenced that tree planting, growing trees for carbon sequestration, biodiversity conservation, soil conservation, community engagement, climate education have positive statistically significant effect on healthy environment in Ethiopia. Based on the research findings, the researchers were forwarded the recommendations for policy makers and government of Ethiopia to take in to consideration the six parameters of green legacy in implementing green legacy incentives in Ethiopia. Addressing these parameters of green legacy will provide a more holistic understanding of the initiative's effectiveness and contribute to evidence-based decision-making for sustainable environmental management in Ethiopia.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060896","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}
Today, the cement industry has gone through a growing trend. Achieving the country's economic development, social development and cultural development goals is essential. However, in line with these benefits, the environmental damage caused by cement factories is inevitable. In the present research, which was carried out to reduce environmental losses, value flow mapping and simulation by Arena software were used in two stages. It was determined in the first stage using the current simulated situation and the waste and environmental pollution created. Then by redrawing the future value flow map and using experts' opinions, the amount of reduced pollution caused by some measures was estimated. Then, in the second stage a new simulation was done to evaluate the reduced environmental pollution. The results of this research showed that by using the methods mentioned above in the primary production line process of the Cement Company, about 30% of waste and pollutions were reduced.
{"title":"Providing A Green Value Stream Map to Improve Production Performance","authors":"Somaieh Alavi, Parisa Siamaki, Seyedmehdi Mirmohammadsadeghi","doi":"10.47852/bonviewglce32021009","DOIUrl":"https://doi.org/10.47852/bonviewglce32021009","url":null,"abstract":"Today, the cement industry has gone through a growing trend. Achieving the country's economic development, social development and cultural development goals is essential. However, in line with these benefits, the environmental damage caused by cement factories is inevitable. In the present research, which was carried out to reduce environmental losses, value flow mapping and simulation by Arena software were used in two stages. It was determined in the first stage using the current simulated situation and the waste and environmental pollution created. Then by redrawing the future value flow map and using experts' opinions, the amount of reduced pollution caused by some measures was estimated. Then, in the second stage a new simulation was done to evaluate the reduced environmental pollution. The results of this research showed that by using the methods mentioned above in the primary production line process of the Cement Company, about 30% of waste and pollutions were reduced.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135201957","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 : 2023-08-25DOI: 10.47852/bonviewglce32021155
Tekla Szép, Mohammad Kashour
The energy crisis that began in the second half of 2021, exacerbated by the Russian-Ukrainian war, created unexpected difficulty for European Union Member States in terms of shaping their energy policies. Hungary was one of the most vulnerable countries, whose economic development was fraught with severe risk due to the strong dependence on Russian energy sources and regulated energy prices for households, significantly slowing down the transition to green energy. The sharp change in energy prices due to the introduction of a price cap in 2013-2014 and the partial adjustment in 2022 draws attention to the situation of Hungarian energy demand. This study describes the absolute short-term price elasticities of Hungarian household natural gas and electricity demand and gas and electricity cross-price and income elasticities of the former for income deciles between 2010 and 2021 using the midpoint percentage method. The results show that electricity demand is more elastic than gas demand, implying that Hungarian household consumers are more responsive to changes in electricity prices than those of gas. In addition, low-income Hungarian households are more sensitive to changes in both of the latter than high-income households, while no consistent pattern is identified in the relationship between income and energy demand. Accordingly, the study recommends the implementation of a multi-tariff pricing strategy based on the energy burden of the income deciles. This should particularly target the first two deciles, which are the most vulnerable and sensitive to energy price changes.
{"title":"Price and Income Elasticities of Hungarian Household Energy Demand: Implications for Energy Policy in the Context of the Energy Crisis","authors":"Tekla Szép, Mohammad Kashour","doi":"10.47852/bonviewglce32021155","DOIUrl":"https://doi.org/10.47852/bonviewglce32021155","url":null,"abstract":"The energy crisis that began in the second half of 2021, exacerbated by the Russian-Ukrainian war, created unexpected difficulty for European Union Member States in terms of shaping their energy policies. Hungary was one of the most vulnerable countries, whose economic development was fraught with severe risk due to the strong dependence on Russian energy sources and regulated energy prices for households, significantly slowing down the transition to green energy. The sharp change in energy prices due to the introduction of a price cap in 2013-2014 and the partial adjustment in 2022 draws attention to the situation of Hungarian energy demand. This study describes the absolute short-term price elasticities of Hungarian household natural gas and electricity demand and gas and electricity cross-price and income elasticities of the former for income deciles between 2010 and 2021 using the midpoint percentage method. The results show that electricity demand is more elastic than gas demand, implying that Hungarian household consumers are more responsive to changes in electricity prices than those of gas. In addition, low-income Hungarian households are more sensitive to changes in both of the latter than high-income households, while no consistent pattern is identified in the relationship between income and energy demand. Accordingly, the study recommends the implementation of a multi-tariff pricing strategy based on the energy burden of the income deciles. This should particularly target the first two deciles, which are the most vulnerable and sensitive to energy price changes.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135237018","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 : 2023-08-23DOI: 10.47852/bonviewglce32021075
Don Charles
Trinidad and Tobago (T&T) is a net importer of food. Thus, the country is vulnerable to high food prices, high food imports, and food insecurity. These problems can be addressed through the development of the aquaponics industry locally. Moreover, aquaponics offers a sustainable solution as it encourages the conservation of water, and eliminates the need for synthetic fertilizer, which generates high greenhouse gas (GHGs) emissions in its production process. The objectives of this study are to analyze and forecast T&T’s food imports, and to examine the technical and economic policy requirements for an aquaponics industry in T&T. An Empirical Mode Decomposition (EMD)-Artificial Neural Network (ANN) forecast of T&T’s food imports suggests that T&T’s food imports will increase, and by month 12 to will be TT$1,224,329,616.27. With regards to the economic framework, the major obstacle to the development of T&T’s aquaponics industry appears to be the upfront costs. To establish a professional aquaponics farm that maintains supplies of fish and plant produce, the farmer must incur an upfront capital cost. If the cost of the greenhouse is included, it can take a farmer up to 6 years to recover this cost before they earn a profit. Therefore, government support is required to alleviate this cost burden for farmers.
{"title":"Aquaponics for Trinidad and Tobago: Advancing Sustainable Farming for Low-carbon Economy","authors":"Don Charles","doi":"10.47852/bonviewglce32021075","DOIUrl":"https://doi.org/10.47852/bonviewglce32021075","url":null,"abstract":"Trinidad and Tobago (T&T) is a net importer of food. Thus, the country is vulnerable to high food prices, high food imports, and food insecurity. These problems can be addressed through the development of the aquaponics industry locally. Moreover, aquaponics offers a sustainable solution as it encourages the conservation of water, and eliminates the need for synthetic fertilizer, which generates high greenhouse gas (GHGs) emissions in its production process. The objectives of this study are to analyze and forecast T&T’s food imports, and to examine the technical and economic policy requirements for an aquaponics industry in T&T. An Empirical Mode Decomposition (EMD)-Artificial Neural Network (ANN) forecast of T&T’s food imports suggests that T&T’s food imports will increase, and by month 12 to will be TT$1,224,329,616.27. With regards to the economic framework, the major obstacle to the development of T&T’s aquaponics industry appears to be the upfront costs. To establish a professional aquaponics farm that maintains supplies of fish and plant produce, the farmer must incur an upfront capital cost. If the cost of the greenhouse is included, it can take a farmer up to 6 years to recover this cost before they earn a profit. Therefore, government support is required to alleviate this cost burden for farmers.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135571237","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 : 2023-06-02DOI: 10.47852/bonviewglce3202929
Stanley Nwani, Julius Chibuzor Ujah
This study is necessitated by the high rate of infant mortality in South Asia and Sub-Saharan Africa and the need to enhance the chances of these regions achieving SGD 3. The endemic nature of infant mortality in these regions constitutes a threat to attaining the 2030 sustainable development goal (SDG) 3 target. This study examined whether carbon emission matters and how other socio-economic factors militate against the attainment of the infant mortality target in South Asia and Sub-Saharan Africa for the period 1981 to 2019. The study analyzed annual panel series using the Robust Least Squares estimator. The result revealed that carbon emission per capita is the most critical impediment to attaining the SDG 3 target (25 infant mortality rate per 1000 in 2030) in South Asia and Sub-Saharan Africa. Fortunately, an increment in per capita income would be the strategic action to attaining the infant mortality target in these regions, and it is imperative to promote maternal education through improvement in female school enrolment rates. While the South Asian economies could afford to rely on foreign direct investment (FDI) inflows in addition to the aforementioned strategies, the Sub-Saharan Africa (SSA) countries should not strongly depend on FDI to address the menace of infant mortality, rather improved social spending that is devoid of corruption and other systemic encumbrances would be more productive in arresting infant mortality in this region. Also, policymakers in Sub-Saharan African economies are encouraged to rely less on FDI and are strongly advised to improve government social spending and to implement pollution abatement policies and environmental regulations in line with international treaties and best practices.
{"title":"Achieving Infant Mortality SDG 3 Target in South Asia and Sub-Saharan Africa: Does Carbon Emission Matter?","authors":"Stanley Nwani, Julius Chibuzor Ujah","doi":"10.47852/bonviewglce3202929","DOIUrl":"https://doi.org/10.47852/bonviewglce3202929","url":null,"abstract":"This study is necessitated by the high rate of infant mortality in South Asia and Sub-Saharan Africa and the need to enhance the chances of these regions achieving SGD 3. The endemic nature of infant mortality in these regions constitutes a threat to attaining the 2030 sustainable development goal (SDG) 3 target. This study examined whether carbon emission matters and how other socio-economic factors militate against the attainment of the infant mortality target in South Asia and Sub-Saharan Africa for the period 1981 to 2019. The study analyzed annual panel series using the Robust Least Squares estimator. The result revealed that carbon emission per capita is the most critical impediment to attaining the SDG 3 target (25 infant mortality rate per 1000 in 2030) in South Asia and Sub-Saharan Africa. Fortunately, an increment in per capita income would be the strategic action to attaining the infant mortality target in these regions, and it is imperative to promote maternal education through improvement in female school enrolment rates. While the South Asian economies could afford to rely on foreign direct investment (FDI) inflows in addition to the aforementioned strategies, the Sub-Saharan Africa (SSA) countries should not strongly depend on FDI to address the menace of infant mortality, rather improved social spending that is devoid of corruption and other systemic encumbrances would be more productive in arresting infant mortality in this region. Also, policymakers in Sub-Saharan African economies are encouraged to rely less on FDI and are strongly advised to improve government social spending and to implement pollution abatement policies and environmental regulations in line with international treaties and best practices.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135909948","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 : 2023-05-31DOI: 10.47852/bonviewglce3202946
Donatien Ntawuruhunga, Mathias Twahirwa
In recent years, Rwanda's economic shift has been triggered by expropriation for land conversion in areas of urbanization, roadways, modern village settlements, and agricultural modernization. Even though various studies on expropriation have been carried out to elucidate constraints associated with expropriation, as far as we know, no Multiple Linear Regression (MLR) analysis models have been used to determine the land-lost farmers' profiles' association with compensatory payments. This study was carried out in the Eastern Province of Rwanda. This study investigated how the expropriated farmers' profiles can influence both the compensatory payment appraisal and expropriation for land conversion. The MLR model was utilized to ascertain the relationships between the response variable (compensatory payments) and the explanatory variables (expropriated farmer profiles). Data were obtained using a questionnaire administered to 90 expropriated farmers selected using purposive and multi-stage sampling techniques and analyzed using STATA. The MLR showed a good fit of the model (R2 = 0.6900) with the results that farmer's age, means of acquiring land (the fact of owning land from inheritance), cropping systems (the fact of mono-cropping practice), and satisfaction (the fact of being satisfied) showed statistically significant (p £ 0.05) association with compensatory payments; whereas "ubudehe" (the fact of being a high-income earner) and civil status (the fact of being married) were statistically significant at 10%. An important implication of these results is that in the perspective of expropriation for infrastructure developments that affect farmers' properties, the MLR model can solve several issues associated with this process. As a recommendation, governments, investors, expropriating agencies, and property valuers are encouraged to carry out the process of land expropriation by exploring and controlling the significant factors influencing the process.
{"title":"Modeling the Influence of Expropriated Farmers' Determinants on Compensation Payments Using Multiple Regression","authors":"Donatien Ntawuruhunga, Mathias Twahirwa","doi":"10.47852/bonviewglce3202946","DOIUrl":"https://doi.org/10.47852/bonviewglce3202946","url":null,"abstract":"In recent years, Rwanda's economic shift has been triggered by expropriation for land conversion in areas of urbanization, roadways, modern village settlements, and agricultural modernization. Even though various studies on expropriation have been carried out to elucidate constraints associated with expropriation, as far as we know, no Multiple Linear Regression (MLR) analysis models have been used to determine the land-lost farmers' profiles' association with compensatory payments. This study was carried out in the Eastern Province of Rwanda. This study investigated how the expropriated farmers' profiles can influence both the compensatory payment appraisal and expropriation for land conversion. The MLR model was utilized to ascertain the relationships between the response variable (compensatory payments) and the explanatory variables (expropriated farmer profiles). Data were obtained using a questionnaire administered to 90 expropriated farmers selected using purposive and multi-stage sampling techniques and analyzed using STATA. The MLR showed a good fit of the model (R2 = 0.6900) with the results that farmer's age, means of acquiring land (the fact of owning land from inheritance), cropping systems (the fact of mono-cropping practice), and satisfaction (the fact of being satisfied) showed statistically significant (p £ 0.05) association with compensatory payments; whereas \"ubudehe\" (the fact of being a high-income earner) and civil status (the fact of being married) were statistically significant at 10%. An important implication of these results is that in the perspective of expropriation for infrastructure developments that affect farmers' properties, the MLR model can solve several issues associated with this process. As a recommendation, governments, investors, expropriating agencies, and property valuers are encouraged to carry out the process of land expropriation by exploring and controlling the significant factors influencing the process.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135300258","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 : 2023-05-30DOI: 10.47852/bonviewglce3202868
Xiaoxiao Ma
Facing severe air pollution, the Chinese government has introduced bottom-up public participation in environmental policy. The increase in public environmental attention can promote the participation of all people in environmental governance, which is a major guarantee for achieving the carbon peaking and carbon neutrality goals. In this paper, we use city-year panel data and the strategy of difference in difference (DID) to estimate the impact of environmental regulation of "The Blue Sky Defense War" on public environmental concerns (PEC). This environmental regulation reduces PEC for two reasons. First, the policy has greatly improved air quality in the Beijing-Tianjin-Hebei region and surrounding areas. When air quality improves, people pay less attention to environmental issues. Second, environmental regulations reduce household income. As incomes fall, people will focus more on economic development than on environmental issues.
{"title":"Environmental Regulation and Public Environmental Concerns in China: A New Insight from the Difference in Difference Approach","authors":"Xiaoxiao Ma","doi":"10.47852/bonviewglce3202868","DOIUrl":"https://doi.org/10.47852/bonviewglce3202868","url":null,"abstract":"Facing severe air pollution, the Chinese government has introduced bottom-up public participation in environmental policy. The increase in public environmental attention can promote the participation of all people in environmental governance, which is a major guarantee for achieving the carbon peaking and carbon neutrality goals. In this paper, we use city-year panel data and the strategy of difference in difference (DID) to estimate the impact of environmental regulation of \"The Blue Sky Defense War\" on public environmental concerns (PEC). This environmental regulation reduces PEC for two reasons. First, the policy has greatly improved air quality in the Beijing-Tianjin-Hebei region and surrounding areas. When air quality improves, people pay less attention to environmental issues. Second, environmental regulations reduce household income. As incomes fall, people will focus more on economic development than on environmental issues.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135478146","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 : 2023-05-29DOI: 10.47852/bonviewglce3202880
Dinesh Kumar Madheswaran
This article explores the potential and limitations of Sediment Microbial Fuel Cells (SMFCs) and their deployment for sustainable energy production and environmental remediation. SMFCs use naturally occurring redox gradients in sediments to produce bioelectricity, making them advantageous over conventional energy sources due to their affordability, simplicity, and ability to operate in various environments with minimum maintenance requirements. However, their low power output density restricts their practical applicability. The article discusses the controllable and uncontrollable factors that affect SMFC performance and their influence on SMFC functionality, electrode material, external resistance, electrode spacing, electrode design, electrode immersion dimensions, and catalyst. The article highlights the challenges facing SMFC deployment, particularly in large-scale businesses, such as the need for more scientific literature on SMFCs and inadequate focus on energy metrics.
{"title":"Sediment Microbial Fuel Cells: Opinion of the Factors Impeding the Deployment","authors":"Dinesh Kumar Madheswaran","doi":"10.47852/bonviewglce3202880","DOIUrl":"https://doi.org/10.47852/bonviewglce3202880","url":null,"abstract":"This article explores the potential and limitations of Sediment Microbial Fuel Cells (SMFCs) and their deployment for sustainable energy production and environmental remediation. SMFCs use naturally occurring redox gradients in sediments to produce bioelectricity, making them advantageous over conventional energy sources due to their affordability, simplicity, and ability to operate in various environments with minimum maintenance requirements. However, their low power output density restricts their practical applicability. The article discusses the controllable and uncontrollable factors that affect SMFC performance and their influence on SMFC functionality, electrode material, external resistance, electrode spacing, electrode design, electrode immersion dimensions, and catalyst. The article highlights the challenges facing SMFC deployment, particularly in large-scale businesses, such as the need for more scientific literature on SMFCs and inadequate focus on energy metrics.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135742106","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 : 2023-05-26DOI: 10.47852/bonviewglce3202910
Junlin He, Wei Theng Lau, Yanjun Liu
Innovative production in high-tech industries is seen as a promoter of corporate profitability and a driver of China's economic growth. However, some scholars point out that high-tech industry is in its infancy and has insufficient innovative production efficiency, which severely restricts regional economic development. To explore this further, we studied the innovation production efficiency of China's high-tech industry during the 13th Five-Year Plan period (2016-2020). The three-stage Data Envelopment Analysis model was utilized to calculate the efficiency of the innovation production in this industry, and we initially employed the DEA-BCC model to calculate the efficiency for 31 provinces and applied similar-stochastic frontier analysis regression to eliminate the potential influence of external environmental factors. The empirical results findings reveal significant inter-regional differences in the efficiency of innovation production, with the Eastern region is the most efficient in innovation production, the Western region has greater growth potential, and the Central region requires to improve its overall efficiency by increasing technological inputs. In addition, we attempt to provide recommendations to policy makers based on our conclusions.
{"title":"Innovative Production Efficiency in Chinese High-Tech Industries during the 13th Five-Year Plan: Evidence from a Three-Stage DEA Model","authors":"Junlin He, Wei Theng Lau, Yanjun Liu","doi":"10.47852/bonviewglce3202910","DOIUrl":"https://doi.org/10.47852/bonviewglce3202910","url":null,"abstract":"Innovative production in high-tech industries is seen as a promoter of corporate profitability and a driver of China's economic growth. However, some scholars point out that high-tech industry is in its infancy and has insufficient innovative production efficiency, which severely restricts regional economic development. To explore this further, we studied the innovation production efficiency of China's high-tech industry during the 13th Five-Year Plan period (2016-2020). The three-stage Data Envelopment Analysis model was utilized to calculate the efficiency of the innovation production in this industry, and we initially employed the DEA-BCC model to calculate the efficiency for 31 provinces and applied similar-stochastic frontier analysis regression to eliminate the potential influence of external environmental factors. The empirical results findings reveal significant inter-regional differences in the efficiency of innovation production, with the Eastern region is the most efficient in innovation production, the Western region has greater growth potential, and the Central region requires to improve its overall efficiency by increasing technological inputs. In addition, we attempt to provide recommendations to policy makers based on our conclusions.","PeriodicalId":489841,"journal":{"name":"Green and Low-Carbon Economy","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996320","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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