Li Bo, Shen Zhongping, Tan Chao, Tan Hao Bo, Liu Zhen, Syed Muhammad Muddassir Abbas Naqvi
Energy serves as a crucial input in almost every sector of the economy and thus contributes significantly to the development of an economy. However, energy is obtained chiefly from fossil fuels, the world's biggest source of carbon emissions and climate change. Therefore, transforming the energy sector by promoting energy innovation is crucial and requires massive financial support from financial institutions beyond borders. In this regard, an international collaboration between the financial sectors of various economies can increase the availability of funds for investment in energy innovation. Therefore, this study intends to investigate the role of financial openness in promoting energy innovation in different regions of the world, such as Asia, America, and Europe. For regression analysis, the study employs the linear and non‐linear CS‐ARDL methods of estimations. The key outcomes of the long‐run linear analysis suggest that financial openness promotes energy innovation in all regions. In the non‐linear analysis, the positive change in financial openness increases long‐run energy innovation in all regions, while a negative change in financial openness reduces energy innovation in Global and Asia models. These findings imply that policymakers across the globe should focus on collaboration between the financial sectors to promote investment in energy innovation.
{"title":"Towards green entrepreneurship: The role of financial openness in driving energy innovation in top carbon emitter economies","authors":"Li Bo, Shen Zhongping, Tan Chao, Tan Hao Bo, Liu Zhen, Syed Muhammad Muddassir Abbas Naqvi","doi":"10.1111/1477-8947.12544","DOIUrl":"https://doi.org/10.1111/1477-8947.12544","url":null,"abstract":"Energy serves as a crucial input in almost every sector of the economy and thus contributes significantly to the development of an economy. However, energy is obtained chiefly from fossil fuels, the world's biggest source of carbon emissions and climate change. Therefore, transforming the energy sector by promoting energy innovation is crucial and requires massive financial support from financial institutions beyond borders. In this regard, an international collaboration between the financial sectors of various economies can increase the availability of funds for investment in energy innovation. Therefore, this study intends to investigate the role of financial openness in promoting energy innovation in different regions of the world, such as Asia, America, and Europe. For regression analysis, the study employs the linear and non‐linear CS‐ARDL methods of estimations. The key outcomes of the long‐run linear analysis suggest that financial openness promotes energy innovation in all regions. In the non‐linear analysis, the positive change in financial openness increases long‐run energy innovation in all regions, while a negative change in financial openness reduces energy innovation in Global and Asia models. These findings imply that policymakers across the globe should focus on collaboration between the financial sectors to promote investment in energy innovation.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"47 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aqsa Nazir, Munawar Iqbal, Usman Mehmood, Zia Ul Haq, Asim Daud Rana, Hind Alofaysan
Taking focus on the possible effects on welfare and environmental issues in Türkiye and India, this study explores the relationship between the leasing of mineral resources (MRs), economic performance, use of renewable energy, and environmental policies. The study estimates changes in MRs throughout economic expansion using artificial intelligence (artificial neural network [ANN]) and supervised machine learning (SML). It focuses on important variables like index of stringency of environmental policies and the consumer price index, the conclusions of the ANN, ensemble method, and ML studies show how sensitive quarterly changes in the rent on MRs are to changes in the consumer price index, economic performance, and the use of renewable energy. Evaluation criteria such as root mean square error (RMSE), mean absolute error (MAE), mean square error (MSE), mean absolute percentage error (MAPE), and coefficient of determination highlight how much better ML models predict outcomes than ANN trials. In particular, the ML findings show an outstanding R2 of 0.99, an MAE of 0.6625, an MSE of 0.8324, a MAPE of 35.3677, and an RMSE of 0.9123 for India. Türkiye's machine learning results, on the other hand, display an MAE of 0.0164, an MSE of 0.0007, MAPE of 66.1594, RMSE of 0.0279, and a strong R2 of 0.98. For ANN, the error histogram is plotted to assess the model. The extremely low value of 0.0090 and 0.010, respectively, for Türkiye and India on the error histogram reflects the exceptional prediction quality. Türkiye and India have abundant MRs; however, they must be managed correctly for long‐term sustainability. Future researchers may verify this work using time series or panel data from other disciplines. This study examines factors affecting sustainable economic growth, including MR use, environmental policies, and eco‐friendly innovations. Other indicators, such as energy efficiency, carbon dioxide emissions, renewable energy consumption, and global value chain participation, may provide a different perspective. This study's conclusions should be verified by more research employing other geographic locations and others machine learning methods, as well as to illustrate how sustainable development is influenced by other variables.
{"title":"How mineral resources rent collaborate with consumer price index, environmental policies, and economic performance in Türkiye and India: Evidence from artificial neural networks and machine learning","authors":"Aqsa Nazir, Munawar Iqbal, Usman Mehmood, Zia Ul Haq, Asim Daud Rana, Hind Alofaysan","doi":"10.1111/1477-8947.12539","DOIUrl":"https://doi.org/10.1111/1477-8947.12539","url":null,"abstract":"Taking focus on the possible effects on welfare and environmental issues in Türkiye and India, this study explores the relationship between the leasing of mineral resources (MRs), economic performance, use of renewable energy, and environmental policies. The study estimates changes in MRs throughout economic expansion using artificial intelligence (artificial neural network [ANN]) and supervised machine learning (SML). It focuses on important variables like index of stringency of environmental policies and the consumer price index, the conclusions of the ANN, ensemble method, and ML studies show how sensitive quarterly changes in the rent on MRs are to changes in the consumer price index, economic performance, and the use of renewable energy. Evaluation criteria such as root mean square error (RMSE), mean absolute error (MAE), mean square error (MSE), mean absolute percentage error (MAPE), and coefficient of determination highlight how much better ML models predict outcomes than ANN trials. In particular, the ML findings show an outstanding <jats:italic>R</jats:italic><jats:sup>2</jats:sup> of 0.99, an MAE of 0.6625, an MSE of 0.8324, a MAPE of 35.3677, and an RMSE of 0.9123 for India. Türkiye's machine learning results, on the other hand, display an MAE of 0.0164, an MSE of 0.0007, MAPE of 66.1594, RMSE of 0.0279, and a strong <jats:italic>R</jats:italic><jats:sup>2</jats:sup> of 0.98. For ANN, the error histogram is plotted to assess the model. The extremely low value of 0.0090 and 0.010, respectively, for Türkiye and India on the error histogram reflects the exceptional prediction quality. Türkiye and India have abundant MRs; however, they must be managed correctly for long‐term sustainability. Future researchers may verify this work using time series or panel data from other disciplines. This study examines factors affecting sustainable economic growth, including MR use, environmental policies, and eco‐friendly innovations. Other indicators, such as energy efficiency, carbon dioxide emissions, renewable energy consumption, and global value chain participation, may provide a different perspective. This study's conclusions should be verified by more research employing other geographic locations and others machine learning methods, as well as to illustrate how sustainable development is influenced by other variables.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"360 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In an era marked by escalating social aging and labor costs, the forestry sector faces a critical juncture for sustainable development. Amidst these challenges, an opportunity arises to enhance forestry practices by examining the moderating impact of rising labor costs on emerging forestry entities. Employing instrumental variable Tobit models, this study rigorously analyzes the influence of subsidy levels on input factors within these enterprises. Drawing on a comprehensive data set of 485 survey responses from 15 counties and 6 provinces, this investigation reveals significant insights into the dynamics of forestry subsidies, input levels, and labor costs. It identifies a substantial positive correlation between forestry subsidies and both capital and labor inputs within these entities. However, it is the burgeoning labor costs that emerge as a pivotal driver, prompting a strategic reallocation of labor inputs toward capital factors. This strategic shift is driven by a nuanced interplay between labor‐saving capital and labor, resulting in a dynamic substitution effect that concurrently augments employed labor inputs. These findings underscore the imperative for tailored strategies to address the challenges posed by escalating labor costs and social aging within the forestry sector. In response, this study advocates for proactive approaches to forestry subsidy standards, emphasizing dynamic implementation to facilitate increased inputs. Additionally, broader allocation of forestry subsidies and an accelerated drive toward forestry transformation are identified as essential pathways toward fostering sustainable development and resilience amidst evolving socio‐economic landscapes.
{"title":"Impact of subsidy on the new type of forestry operating entity's input: Moderating effect of the rising labor cost","authors":"Hui Xiao, Liu Can, Fangmiao Hou, Hao Liu","doi":"10.1111/1477-8947.12530","DOIUrl":"https://doi.org/10.1111/1477-8947.12530","url":null,"abstract":"In an era marked by escalating social aging and labor costs, the forestry sector faces a critical juncture for sustainable development. Amidst these challenges, an opportunity arises to enhance forestry practices by examining the moderating impact of rising labor costs on emerging forestry entities. Employing instrumental variable Tobit models, this study rigorously analyzes the influence of subsidy levels on input factors within these enterprises. Drawing on a comprehensive data set of 485 survey responses from 15 counties and 6 provinces, this investigation reveals significant insights into the dynamics of forestry subsidies, input levels, and labor costs. It identifies a substantial positive correlation between forestry subsidies and both capital and labor inputs within these entities. However, it is the burgeoning labor costs that emerge as a pivotal driver, prompting a strategic reallocation of labor inputs toward capital factors. This strategic shift is driven by a nuanced interplay between labor‐saving capital and labor, resulting in a dynamic substitution effect that concurrently augments employed labor inputs. These findings underscore the imperative for tailored strategies to address the challenges posed by escalating labor costs and social aging within the forestry sector. In response, this study advocates for proactive approaches to forestry subsidy standards, emphasizing dynamic implementation to facilitate increased inputs. Additionally, broader allocation of forestry subsidies and an accelerated drive toward forestry transformation are identified as essential pathways toward fostering sustainable development and resilience amidst evolving socio‐economic landscapes.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"85 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the global community grapples with sustainable development, sub‐Saharan Africa (SSA) faces a critical dilemma in balancing economic growth and environmental preservation. The study examines the effect of financial development (foreign direct investment [FDI]) on CO2 emissions in achieving sustainability in SSA. The study employed fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) cointegration approaches, to establish substantial connections between key variables. The results showed that environmental taxes and FDI play a role in reducing carbon emissions. Trade openness, natural resource rent, and consumption cause carbon emissions to rise. Furthermore, the study explores causation between variables using Dumitrescu–Hurling panel causality tests. A bidirectional causality exists between ecological footprint and CO2 emissions while a unidirectional causality exists between financial development, FDI, and CO2 emissions. The findings suggest the adoption of enhanced environmental taxation policies and the encouragement of sustainable FDI. We further recommend the introduction of green fiscal policies to stimulate renewable energy investments, promote responsible consumption and trade practices, and green innovative financing.
{"title":"Achieving sustainability: Unravelling the role of financial development and foreign direct investment in sub‐Saharan Africa","authors":"Kyei Emmanuel Yeboah, Kashif Abbass, Seidu Abdulai Jamatutu, Bo Feng, Junwen Feng","doi":"10.1111/1477-8947.12518","DOIUrl":"https://doi.org/10.1111/1477-8947.12518","url":null,"abstract":"As the global community grapples with sustainable development, sub‐Saharan Africa (SSA) faces a critical dilemma in balancing economic growth and environmental preservation. The study examines the effect of financial development (foreign direct investment [FDI]) on CO<jats:sub>2</jats:sub> emissions in achieving sustainability in SSA. The study employed fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) cointegration approaches, to establish substantial connections between key variables. The results showed that environmental taxes and FDI play a role in reducing carbon emissions. Trade openness, natural resource rent, and consumption cause carbon emissions to rise. Furthermore, the study explores causation between variables using Dumitrescu–Hurling panel causality tests. A bidirectional causality exists between ecological footprint and CO<jats:sub>2</jats:sub> emissions while a unidirectional causality exists between financial development, FDI, and CO<jats:sub>2</jats:sub> emissions. The findings suggest the adoption of enhanced environmental taxation policies and the encouragement of sustainable FDI. We further recommend the introduction of green fiscal policies to stimulate renewable energy investments, promote responsible consumption and trade practices, and green innovative financing.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"12 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we explore the relationships between economic growth and energy intensity in Bahrain, and we analyse how energy intensity, population, and other macroeconomic variables are associated with each in the short and long run. In the empirical section we use data span from 1980 to 2019 and we perform a vector error correction model and cointegration technique to detect causality between the variables used in the model. The main findings of this article show that economic growth, population and FDI increased energy intensity in Bahrain in the short run. Therefore, an urgent need to be embedded in the sustainable energy action plan to limit the harmful effects of economic activity on the environmental quality in Bahrain and to ensure environmental sustainability.
{"title":"How does energy intensity impact economic growth for the case of a small island country","authors":"Fatema Janahi, Helmi Hamdi, Mehdi Mili","doi":"10.1111/1477-8947.12535","DOIUrl":"https://doi.org/10.1111/1477-8947.12535","url":null,"abstract":"In this article, we explore the relationships between economic growth and energy intensity in Bahrain, and we analyse how energy intensity, population, and other macroeconomic variables are associated with each in the short and long run. In the empirical section we use data span from 1980 to 2019 and we perform a vector error correction model and cointegration technique to detect causality between the variables used in the model. The main findings of this article show that economic growth, population and FDI increased energy intensity in Bahrain in the short run. Therefore, an urgent need to be embedded in the sustainable energy action plan to limit the harmful effects of economic activity on the environmental quality in Bahrain and to ensure environmental sustainability.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"252 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pricing the priceless: The financial transformation to value the planet, solve the climate crisis, and protect our most precious assets. By PaulaDiPerna, Hoboken, NJ: Wiley. 2023. pp. 272. $16.31. ISBN‐10:1119913802.","authors":"Cloe Miller","doi":"10.1111/1477-8947.12540","DOIUrl":"https://doi.org/10.1111/1477-8947.12540","url":null,"abstract":"","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"18 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Musbau Omotola Kadir, Abraham Deka, Mehdi Seraj, Huseyin Ozdeser
Natural resources are vital resources given by nature and are responsible for promoting a nation's economic development. However, with the existence of two opposing theories, it is essential to provide state‐of‐the‐art research that ascertains the association between natural resources and economic growth. The Rostow hypothesis presents the importance of natural resources in promoting economic growth, while the resources curse hypothesis alludes that natural resources, in the developing countries, reduce economic growth. The present research uses the contemporary Methods of Moments Quantile Regression method to explore on this relationship in the fifteen natural resources‐rich African countries. The data used are annual data for the period 1990 to 2021. The major results presented in this research show that natural resources rent significantly promotes economic growth in this region, supporting the postulations of Rostow's hypothesis. Renewable energy is also observed to play a significant role in raising economic growth of this region. However, labor force participation rate is determined to reduce economic growth and this can be explained by high levels of unemployment in this region. Capital provides a positive but insignificant effect on economic growth of the natural resources‐rich African countries. The study results also show that economic growth, capital, trade openness, and labor force enhance natural resources rent. The study calls for the improvement in the use of renewable energy and natural resources in order to attain sustainable economic development in this region.
{"title":"Capitalizing on natural resources rent and renewable energy in enhancing economic growth—New evidence with MMQR method","authors":"Musbau Omotola Kadir, Abraham Deka, Mehdi Seraj, Huseyin Ozdeser","doi":"10.1111/1477-8947.12536","DOIUrl":"https://doi.org/10.1111/1477-8947.12536","url":null,"abstract":"Natural resources are vital resources given by nature and are responsible for promoting a nation's economic development. However, with the existence of two opposing theories, it is essential to provide state‐of‐the‐art research that ascertains the association between natural resources and economic growth. The Rostow hypothesis presents the importance of natural resources in promoting economic growth, while the resources curse hypothesis alludes that natural resources, in the developing countries, reduce economic growth. The present research uses the contemporary Methods of Moments Quantile Regression method to explore on this relationship in the fifteen natural resources‐rich African countries. The data used are annual data for the period 1990 to 2021. The major results presented in this research show that natural resources rent significantly promotes economic growth in this region, supporting the postulations of Rostow's hypothesis. Renewable energy is also observed to play a significant role in raising economic growth of this region. However, labor force participation rate is determined to reduce economic growth and this can be explained by high levels of unemployment in this region. Capital provides a positive but insignificant effect on economic growth of the natural resources‐rich African countries. The study results also show that economic growth, capital, trade openness, and labor force enhance natural resources rent. The study calls for the improvement in the use of renewable energy and natural resources in order to attain sustainable economic development in this region.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"25 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study introduces the innovative concept of water‐peaking theory, drawing inspiration from the theories of “peak oil” and “carbon peaking.” Employing the Environmental Kuznets Curve, Tapio's decoupling theory, and Logarithmic Mean Divisia Index decomposition, we analyze data spanning from 2006 to 2020, yielding significant findings. First, China's three industries exhibit an imbalanced structure in the utilization of water resources, necessitating the reallocation of water from the primary industry to the secondary and tertiary industries. Second, although China has not yet attained absolute water peaking, it confronts a predicament in sustainable development. Third, the primary and secondary industries demonstrate favorable decoupling of water consumption from economic growth, while the tertiary industry faces challenges in achieving historical water peaking. Fourth, drivers on the production side (technological effects, structural effects, output effects) substantially reduce water consumption across all industries, contributing to progress toward water peaking. Conversely, factors on the consumer side (population effects) play a minor role with untapped potential. This research provides valuable insights for nations worldwide in identifying historical inflection points in water resource management, pursuing sustainable pathways for industrial water usage and economic growth, and achieving environmental quality and sustainable economic development objectives. China's experiences serve as a guiding exemplar in this endeavor.
{"title":"Water peaking with a three‐pillar analysis in China: Exploring the interplay of resource utilization and industrial structure","authors":"Mingsong Sun, Yutong Song","doi":"10.1111/1477-8947.12513","DOIUrl":"https://doi.org/10.1111/1477-8947.12513","url":null,"abstract":"This study introduces the innovative concept of water‐peaking theory, drawing inspiration from the theories of “peak oil” and “carbon peaking.” Employing the Environmental Kuznets Curve, Tapio's decoupling theory, and Logarithmic Mean Divisia Index decomposition, we analyze data spanning from 2006 to 2020, yielding significant findings. First, China's three industries exhibit an imbalanced structure in the utilization of water resources, necessitating the reallocation of water from the primary industry to the secondary and tertiary industries. Second, although China has not yet attained absolute water peaking, it confronts a predicament in sustainable development. Third, the primary and secondary industries demonstrate favorable decoupling of water consumption from economic growth, while the tertiary industry faces challenges in achieving historical water peaking. Fourth, drivers on the production side (technological effects, structural effects, output effects) substantially reduce water consumption across all industries, contributing to progress toward water peaking. Conversely, factors on the consumer side (population effects) play a minor role with untapped potential. This research provides valuable insights for nations worldwide in identifying historical inflection points in water resource management, pursuing sustainable pathways for industrial water usage and economic growth, and achieving environmental quality and sustainable economic development objectives. China's experiences serve as a guiding exemplar in this endeavor.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"16 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The impact of trade on the environment is a big concern, with increasing focus on the role of international trade in climate change. This study explores the bidirectional relationships between export intensity, adoption of environmentally friendly measures, and productivity using the firm‐level data from Belarus. It aims to answer whether exporting enterprises are more environmentally oriented and whether the application of cleaner technologies brings productivity improvement and increases the export intensity of an enterprise. We estimate a system of structural equations using three‐stage least squares in which export intensity, adoption of environmentally friendly measures, and productivity are by design treated as endogenous. The findings show that when a company adopts one more environmentally friendly measure, it increases its export intensity by 4.4%–4.6%. Adoption of cleaner technologies improves labor productivity in a company by 20.7%, but it is negatively associated with its resource productivity (a 1.9% decrease), which results in the neutral effect on the total productivity.
{"title":"Clean, competitive, and productive? The impact of environment‐friendly technologies on exporting and productivity of the manufacturing companies in Belarus","authors":"Yauheniya Shershunovich, Alisher Mirzabaev","doi":"10.1111/1477-8947.12525","DOIUrl":"https://doi.org/10.1111/1477-8947.12525","url":null,"abstract":"The impact of trade on the environment is a big concern, with increasing focus on the role of international trade in climate change. This study explores the bidirectional relationships between export intensity, adoption of environmentally friendly measures, and productivity using the firm‐level data from Belarus. It aims to answer whether exporting enterprises are more environmentally oriented and whether the application of cleaner technologies brings productivity improvement and increases the export intensity of an enterprise. We estimate a system of structural equations using three‐stage least squares in which export intensity, adoption of environmentally friendly measures, and productivity are by design treated as endogenous. The findings show that when a company adopts one more environmentally friendly measure, it increases its export intensity by 4.4%–4.6%. Adoption of cleaner technologies improves labor productivity in a company by 20.7%, but it is negatively associated with its resource productivity (a 1.9% decrease), which results in the neutral effect on the total productivity.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"35 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is a growing global concern about the challenges of sustainable development. Furthermore, these concerns are becoming increasingly prevalent in Bangladesh on a daily basis. This may be attributed to the escalating influx of remittances, the degradation of natural resources, and the potential adverse impacts of economic growth on the ecosystem. Thus, this research looks at how remittances (REM) and natural resources (NR) affect the ecological footprint (EFP) in Bangladesh by controlling economic growth (EG), renewable energy (REN), and urbanization (URB) from 1990 to 2021. The study utilizes the linear and non‐linear autoregressive distributed lag model to test the relationships between REM and NR on EFP. Positive and negative shocks to REM and NR have varied consequences on EFP, which suggests an asymmetric relationship. The findings reveal that the impact of the positive shock on NR is positive and significant. It implies that an increase in the positive shock of NR causes a rise in EFP. However, the impact of the negative shock on NR is negative but statistically insignificant. Likewise, negative shock in REM decreases the EFP by increasing ecological quality, while positive shock in REM does not significantly impact EFP. Similarly, REN and URB improve the environmental quality in Bangladesh while EG decreases. To meet sustainable development goals, policies can be designed for proficient and ecologically friendly types of energy.
全球对可持续发展的挑战日益关注。此外，这些问题在孟加拉国也日益普遍。这可能归因于不断增加的汇款流入、自然资源的退化以及经济增长对生态系统的潜在不利影响。因此，本研究通过控制 1990 年至 2021 年的经济增长（EG）、可再生能源（REN）和城市化（URB），探讨汇款（REM）和自然资源（NR）如何影响孟加拉国的生态足迹（EFP）。研究利用线性和非线性自回归分布滞后模型来检验 REM 和 NR 对 EFP 的影响关系。REM 和 NR 的正负冲击对 EFP 的影响各不相同，这表明两者之间存在非对称关系。研究结果表明，正向冲击对 NR 的影响是正向且显著的。这意味着 NR 的正向冲击增加会导致 EFP 上升。然而，NR 的负向冲击是负向的，但在统计上不显著。同样，REM 的负向冲击通过提高生态质量降低了 EFP，而 REM 的正向冲击对 EFP 没有显著影响。同样，REN 和 URB 改善了孟加拉国的环境质量，而 EG 则有所下降。为实现可持续发展目标，可制定政策，推广高效和生态友好型能源。
{"title":"Analyzing the non‐linear association between natural resources, remittances, and ecological footprint: An analysis of Bangladesh's environmental decline","authors":"Minhaj Ali, Kishwar Ali","doi":"10.1111/1477-8947.12516","DOIUrl":"https://doi.org/10.1111/1477-8947.12516","url":null,"abstract":"There is a growing global concern about the challenges of sustainable development. Furthermore, these concerns are becoming increasingly prevalent in Bangladesh on a daily basis. This may be attributed to the escalating influx of remittances, the degradation of natural resources, and the potential adverse impacts of economic growth on the ecosystem. Thus, this research looks at how remittances (REM) and natural resources (NR) affect the ecological footprint (EFP) in Bangladesh by controlling economic growth (EG), renewable energy (REN), and urbanization (URB) from 1990 to 2021. The study utilizes the linear and non‐linear autoregressive distributed lag model to test the relationships between REM and NR on EFP. Positive and negative shocks to REM and NR have varied consequences on EFP, which suggests an asymmetric relationship. The findings reveal that the impact of the positive shock on NR is positive and significant. It implies that an increase in the positive shock of NR causes a rise in EFP. However, the impact of the negative shock on NR is negative but statistically insignificant. Likewise, negative shock in REM decreases the EFP by increasing ecological quality, while positive shock in REM does not significantly impact EFP. Similarly, REN and URB improve the environmental quality in Bangladesh while EG decreases. To meet sustainable development goals, policies can be designed for proficient and ecologically friendly types of energy.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"142 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","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：