Energy-economy-environment nexus in China: The role of renewable energies toward carbon neutrality

Innovation and Green Development, Год журнала: 2024, Номер 3(3), С. 100139 - 100139

Опубликована: Фев. 15, 2024

Global climate change triggered by the escalating carbon dioxide (CO2) emissions resulting from heightened economic expansion and consumption of energy represents foremost environmental concern in contemporary global context. China is accountable for nearly 27% total CO2 emissions, making it largest emitter worldwide. This study explores consequences outgrowth, fossil fuel, renewable utilization on China's CO2. The utilized an autoregressive distributed lag (ARDL) model to analyze annual data 1965 2022. ARDL bounds test results indicate presence long-term cointegration among variables. empirical specify that a 1% growth fuels economy leads 4.97% 0.58% emissions. In short term, these increases amount 2.42% 1.21%, respectively. Conversely, enhancement could result reduction 1.39%, whereas would be 0.50%. proposes policy suggestions attainment sustainable development neutrality.

Язык: Английский

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Can renewable energy transition drive green growth? The role of good governance in promoting carbon emission-adjusted economic growth in Next Eleven countries

Innovation and Green Development, Год журнала: 2024, Номер 3(2), С. 100123 - 100123

Опубликована: Янв. 1, 2024

This study emphasizes green growth establishment in the Next Eleven countries, especially by boosting their economic output production rates while simultaneously containing carbon emission figures. Notably, considering novel concept of 'emission growth-adjusted rate' for selecting proxy growth, impacts exerted renewable energy transition, good governance, globalization, urbanization, industrialization, and financial development on process greening economies countries are evaluated this study. Overall, results derived from econometric analyses endorse that undergoing transition does not promote unless quality governance is improved tandem. Thus, observed to act as a mediator between these emerging countries. Besides, confirm growth-hampering effects international trade, development. Conversely, globalization found be ineffective influencing objective establishing Furthermore, conducting separately lower-middle upper-middle income categories, growth-influencing determinants appear mostly heterogeneous across alternative sub-samples Therefore, critically important findings, several growth-stimulating policies suggested concerned governments.

Язык: Английский

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A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability

Global Sustainability Research, Год журнала: 2024, Номер 3(1), С. 1 - 24

Опубликована: Янв. 7, 2024

The aim of this study was to consolidate current information on the utilization Geographic Information Systems (GIS) and Remote Sensing (RS) in agricultural sector, with a focus their role promoting evidence-based policies practices enhance sustainability. Additionally, review sought identify challenges hindering widespread adoption GIS RS applications, particularly low- middle-income nations. This employed methodology systematic literature review. findings indicate that technology sector has experienced notable increase over past few years. primary areas use for have been identified encompass crop yield estimation, assessment soil fertility, monitoring cropping patterns, evaluation drought conditions, detection management pests diseases, implementation precision agriculture techniques, fertilizer weed control. possesses capacity augment sustainability by incorporating spatial aspect into policies. Furthermore, potential facilitating decision making is expanding. Given escalating peril climate change food security, there exists heightened imperative include policy formulation decision-making processes practices. might be beneficial informing development effectively integrate sustainable climate-smart agriculture.

Язык: Английский

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Sustainability in Vietnam: Examining economic growth, energy, innovation, agriculture, and forests' impact on CO2 emissions

World Development Sustainability, Год журнала: 2024, Номер 4, С. 100164 - 100164

Опубликована: Май 31, 2024

Global warming, induced by human-generated greenhouse gases, especially carbon dioxide (CO2), threatens the planet's ecology, economic development, and long-term viability in unparalleled ways. Vietnam's utilization of energy CO2 emanations are on increase as a consequence country's increasing improving agricultural practices. Governments seeking to accomplish an equilibrium between combating climate change sustainable development would benefit from deeper understanding vulnerability. A better trade-off pollution growth is crucial if Vietnam slow rate at which its environment being damaged. So, current study empirically examined connections GDP consumption, technical advancement, output, forest region, emissions Vietnam. This collected annual data 1990 2020 analyzed it using Dynamic Ordinary Least Squares method. Based projection, experiences direct correlation consumption emissions. implies that corresponds corresponding emission into atmosphere. Nevertheless, essential acknowledge this pattern might be alleviated means technological innovations, increased initiatives broaden forested regions. negative exists these variables emissions; more methods, preservation may contribute gradual reduction Therefore, environmental sustainability could achieved through reduced policies advocated article were implemented. Some include renewable sources, encouraging innovations technology, climate-conscious agriculture, careful management.

Язык: Английский

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Influences of foreign direct investment and carbon emission on economic growth in Vietnam

Journal of Environmental Science and Economics, Год журнала: 2024, Номер 3(1), С. 1 - 17

Опубликована: Янв. 1, 2024

Over the course of previous three decades, Vietnam has seen a phase economic growth, resulting in influx foreign direct investment (FDI). However, it is essential to note that there was an extensive rise carbon dioxide (CO2) emissions throughout this period. The objective research analyze impact FDI and CO2 on Vietnam's utilizing time series data from 1990 2021. stationarity assessed using unit root tests, while autoregressive distributed lag (ARDL) procedure utilized examine long- short-run associations between components. Based outcomes, marginal one percent both associated with corresponding long-term gain 1.36 1.11 gross domestic product (GDP). Furthermore, short term, these increments yield increase 0.61 0.29 GDP. conclusions study will provide valuable insights for policymakers crafting policies effectively promote sustainable development. Specifically, would aim strike balance capital growth derived investments expansion, concurrently mitigating emissions.

Язык: Английский

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The critical role of green innovation technologies and democracy in the transition to sustainability: A study on leading emerging market economies

Technology in Society, Год журнала: 2024, Номер 78, С. 102622 - 102622

Опубликована: Июнь 7, 2024

Язык: Английский

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Prioritising sustainability: how economic growth, energy use, forest area, and globalization impact on greenhouse gas emissions and load capacity in Poland?

International Journal of Sustainable Energy, Год журнала: 2024, Номер 43(1)

Опубликована: Июнь 26, 2024

The main purpose of this paper is to investigate the environmental repercussions a booming economy, fossil fuel, renewable energy, globalisation, technological innovation, and forest cover in Poland from 1990 2018. This study used greenhouse gas (GHG) emissions load capacity factor as proxies ecological damage provide comprehensive assessment surrounding ecosystem help implement future policies reduce achieve sustainability. Besides, only European Union (EU) country lacking climate neutrality objective policy instruments mitigate concerns. Autoregressive Distributed Lag (ARDL) bounds model Dynamic Ordinary Least Squares (DOLS) procedure evaluated yearly data empirical outcomes DOLS point out that economic growth fuel energy use enhance GHG despite reducing Poland. Instead, power, might concluding thoughts suggest implementation support raising additional funding for eco-friendly technology studies while promoting enhancing carbon sinks.

Язык: Английский

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A comprehensive review of artificial intelligence and machine learning applications in energy consumption and production

Journal of Technology Innovations and Energy, Год журнала: 2023, Номер 2(4), С. 1 - 26

Опубликована: Окт. 19, 2023

The energy industry worldwide is today confronted with several challenges, including heightened levels of consumption and inefficiency, volatile patterns in demand supply, a dearth crucial data necessary for effective management. Developing countries face significant challenges due to the widespread occurrence unauthorized connections electricity grid, resulting substantial amounts unmeasured unpaid consumption. Nevertheless, implementation artificial intelligence (AI) machine learning (ML) technologies has potential improve management, efficiency, sustainability. Therefore, this study aims evaluate influence AI ML on progress industry. present employed systematic literature review methodology examine arising from frequent power outages limited accessibility various developing nations. results indicate that possess domains, predictive maintenance turbines, optimization consumption, management grids, prediction prices, assessment efficiency residential buildings. This concluded discussion measures enable nations harness advantages sector.

Язык: Английский

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The impact of financial development, health expenditure, CO2 emissions, institutional quality, and energy Mix on life expectancy in Eastern Europe: CS-ARDL and quantile regression Approaches

Heliyon, Год журнала: 2023, Номер 9(11), С. e21084 - e21084

Опубликована: Ноя. 1, 2023

In recent years, the interrelationships between environment, energy, and health have received a growing amount of attention due to their substantial impact on humans. By examining what influences Eastern Europeans' longevity 1990 2021, this study hopes contribute field study. Energy consumption, expenditure, pollution, institutional quality index (IQI), financial development, other attributes profoundly human health. Because extensive network commerce, tourism, education, religion, treaties connecting East European countries, tests for cross-sectional dependence (CSD) slope heterogeneity (SH) are utilized. After verifying CSD SH issues, uses second generation's unit root cointegration tests. As previous test indicates, new panel method, autoregressive distributive lag (CS-ARDL) model, is required, as conventional estimations inappropriate. The Quantile Regression (QR) method also applied check robustness. This indicated that increased renewable energy IQI improves outcomes in nations. There was good connection consumption benefits, concluded. Though development positively impacts life expectancy, insignificant. On hand, shows CO2 emissions fossil fuel decrease expectancy. These results consistent with those obtained using QR method. To enhance outcomes, it necessary take measures raise spending, increase use foster over long term. nations need shift from fuels energy.

Язык: Английский

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Economy-energy-environment nexus: the potential of agricultural value-added toward achieving China’s dream of carbon neutrality

Carbon Research, Год журнала: 2023, Номер 2(1)

Опубликована: Ноя. 14, 2023

Abstract Agriculture is one of the major sources global emissions that cause climate change while agricultural value added helps to boost economy in developing countries like China. Therefore, this study aims investigate long- and short-term influences added, economic growth (GDP), energy use on carbon dioxide (CO 2 ) The autoregressive distributed lag (ARDL) method was used by using annual time series data from 1990 2021. empirical outcomes revealed a 1% increase would cut CO 1.37% long-run 0.65% short-run. However, found both GDP consumption have positive statistically significant effect emissions. Furthermore, an inverted U-shaped association between environmental pollution discovered spotting coefficient negative squared, which proved validity Kuznets curve (EKC) hypothesis. robustness ARDL verified fully modified ordinary least squares (FMOLS), dynamic (DOLS), canonical cointegration regression (CCR) approaches. This offers comprehensive set policy recommendations aimed at enhancing These suggestions focus promotion climate-smart agriculture, integration renewable production, adoption advanced technologies within systems. Implementing these measures contribute achievement China’s goal neutrality. Graphical

Язык: Английский

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