Energy & Environment最新文献

A novel power conversion structure for grid-connected photovoltaic applications based on MLI and LeBlanc transformer using IRSA technique 一种基于MLI和LeBlanc变压器的新型并网光伏电源转换结构

4区环境科学与生态学

Energy & Environment Pub Date : 2023-11-08 DOI: 10.1177/0958305x231210994

C Sonia, S Tamilselvi

{"title":"A novel power conversion structure for grid-connected photovoltaic applications based on MLI and LeBlanc transformer using IRSA technique","authors":"C Sonia, S Tamilselvi","doi":"10.1177/0958305x231210994","DOIUrl":"https://doi.org/10.1177/0958305x231210994","url":null,"abstract":"This article proposes a new energy conversion structure by employing a hybrid approach for grid-tied photovoltaic (PV) applications. This structure depends on the LeBlanc transformer and multilevel inverter (MLI). The proposed hybrid system combines the honey badger algorithm (HBA) and the reptile search algorithm (RSA). Crocodiles hunting behavior is enhanced by the HBA technique, also known as the IRSA technique. Voltage source inverters (VSI) are used in the proposed multilevel power converter. The MLI output is attached to the LeBlanc transformer. Multi-string technology is essential to the PV system's configuration. This innovative power converter's structural layout allows for an output voltage at the MLI's output. The proposed IRSA approach is utilized to regulate this power converter. This control system permits a fast and robust response from the MLI. This is also ensured by using the IRSA technique. The performance of the proposed hybrid method is run in MATLAB, and the performance is compared with various existing methods. From the simulation, the proposed approach-based efficiency is higher than the existing one. The proposed method shows a high efficiency of 99% compared with other existing methods, such as the salp swarm algorithm (SSA), bee colony optimization (BCO), and grasshopper optimization algorithm (GOA).","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"1 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factors affecting per capita ecological footprint in OECD countries: Evidence from machine learning techniques 影响经合组织国家人均生态足迹的因素：机器学习技术提供的证据

IF 4.2 4区环境科学与生态学

Energy & Environment Pub Date : 2023-11-01 DOI: 10.1177/0958305X221112913

Muhammed Sehid Gorus, E. Karagol

引用次数: 0

Causal relationship between globalization, economic growth and CO2 emissions in Vietnam using Wavelet analysis 利用小波分析法分析全球化、经济增长与越南二氧化碳排放之间的因果关系

IF 4.2 4区环境科学与生态学

Energy & Environment Pub Date : 2023-11-01 DOI: 10.1177/0958305X221108498

Ngo Thai Hung

引用次数: 0

Can green finance effectively mitigate PM2.5 pollution? What role will green technological innovation play? 绿色金融能否有效缓解PM2.5污染?绿色技术创新将发挥怎样的作用?

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-31 DOI: 10.1177/0958305x231204030

Yiniu Cui, Cheng Zhong, Jianhong Cao, Mengyao Guo

{"title":"Can green finance effectively mitigate PM2.5 pollution? What role will green technological innovation play?","authors":"Yiniu Cui, Cheng Zhong, Jianhong Cao, Mengyao Guo","doi":"10.1177/0958305x231204030","DOIUrl":"https://doi.org/10.1177/0958305x231204030","url":null,"abstract":"This study employs panel data encompassing a time frame from 2012 to 2020, collected from 30 provinces in China. By employing a geographic Durbin model and introducing green technological innovation as an intermediary variable, the study explores the relationship between green funds and PM2.5 levels on a spatial scale. The research takes a spatial perspective to explore the links between green finance and PM2.5 emissions, with a specific focus on the intermediary role played by green technology innovation. The findings offer comprehensive insights into enhancing air quality in China, promoting the country's transition towards sustainability, improving the overall human living environment, and generating novel ideas for tackling air pollution challenges. The findings of this study are as follows: (1) The progress of green finance proves to be an effective means of reducing local PM2.5 emissions. Additionally, it generates spillover effects on neighboring regions, promoting the growth of green finance and consequently leading to a decrease in PM2.5 emissions in adjacent areas. (2) In the study exploring the relationship between green financing and PM2.5, green technological innovation plays a crucial mediating role. By efficiently allocating financial resources during China's pivotal green revolution phase, green finance offers funding support to enterprises for the advancement of green technology. This, in turn, contributes to the reduction of PM2.5 emissions. As a consequence, this leads to a decline in energy consumption, pollution emissions, and PM2.5 levels. Additionally, with the continuous improvement in green technological innovation, the reverse effect between green finance and PM2.5 is becoming stronger and stronger. (3) The relationship between the two has obvious regional heterogeneity between the north and south regions of China.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"62 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135863515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The asymmetric and long-run effect of demand-based CO₂ emissions productivity on production-based CO₂ emissions in the UK 以需求为基础的二氧化碳排放生产率对英国以生产为基础的二氧化碳排放的不对称和长期影响

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-30 DOI: 10.1177/0958305x231204958

Dervis Kirikkaleli, Kwaku Addai

{"title":"The asymmetric and long-run effect of demand-based CO2 emissions productivity on production-based CO2 emissions in the UK","authors":"Dervis Kirikkaleli, Kwaku Addai","doi":"10.1177/0958305x231204958","DOIUrl":"https://doi.org/10.1177/0958305x231204958","url":null,"abstract":"Trade effects on atmospheric air contamination of countries have received increasing global policy focus over the past few decades. The United Kingdom is committed to changing the complexities in international trade, current pathways to economic output pursuit, and carbon dioxide emission toward realizing the goals of the Paris Agreement and Kyoto Protocol. This research is motivated to explore the asymmetric long-run impact of demand-based CO 2 emissions productivity on production-based CO 2 emissions for the UK economy. Data for this assessment was drawn from 1990 to 2019 and analyzed using Gregory-Hansen cointegration, nonlinear autoregressive distributed lag (NARDL), and frequency domain causality techniques. Gregory-Hansen estimates for cointegration provide integration evidence for all variables. Estimates for NARDL long-run cointegration indicate (i) demand-based CO 2 emissions productivity is a credible variable that contributes to reducing production-based CO 2 emissions in the UK; (ii) both economic output and globalization contribute in rising production-based CO 2 emissions in the UK; and (iii) the frequency domain causality test indicates one direction causality from demand-based CO 2 emissions productivity, output, globalization, and consumption of green energy to production-based CO 2 emissions in the UK.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"127 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136069023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Environmental technology import and carbon emissions intensity convergence: Analysis for the Belt and Road Initiative countries 环境技术进口与碳排放强度趋同——基于“一带一路”国家的分析

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-29 DOI: 10.1177/0958305x231204033

Muhammad Salam, Xu Yingzhi

{"title":"Environmental technology import and carbon emissions intensity convergence: Analysis for the Belt and Road Initiative countries","authors":"Muhammad Salam, Xu Yingzhi","doi":"10.1177/0958305x231204033","DOIUrl":"https://doi.org/10.1177/0958305x231204033","url":null,"abstract":"Since the official launch of the Belt and Road Initiative (BRI) in 2013, China and the BRI countries have been working for the implementation of certain environmental measures to make the BRI project green and clean. For this purpose, China and the BRI countries have planned to implement certain environmental measures. Although China can efficiently implement these measures, most of the BRI countries face technological deficiencies and lack of proper environmental plannings. To tackle these deficiencies, the BRI countries can import environmental technology from China. Moreover, they can communicate their environmental protection policies with China for better policy guidance. The current study, therefore, aims to examine whether the BRI countries’ import of environmental technology from China can reduce carbon emissions in these countries. Moreover, it also examines that whether these countries should follow the environmental policy and the import policy of China or they should follow the six European countries (EU-6) with minimum carbon emissions intensity. This study considers a sample of 88 selected BRI countries (BRI-88) for the period 2001–2019. The results obtained with β convergence (based on the panel quantile regression model) suggest that not all the BRI countries but only the BRI countries with relatively higher carbon emissions intensity can significantly reduce their average carbon emissions intensity by importing environmental technology from China. Moreover, BRI countries can follow the environmental policy of China which is more feasible for them. However, regarding the environmental goods import policy, BRI countries can follow both China and the EU-6.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"21 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How does CEO green experience affect green innovation of energy firms? Evidence from China CEO绿色经验如何影响能源企业的绿色创新?来自中国的证据

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-29 DOI: 10.1177/0958305x231207057

Jingxue Zhang, Kun Zhang

{"title":"How does CEO green experience affect green innovation of energy firms? Evidence from China","authors":"Jingxue Zhang, Kun Zhang","doi":"10.1177/0958305x231207057","DOIUrl":"https://doi.org/10.1177/0958305x231207057","url":null,"abstract":"CEO characteristics influence their strategic preferences, which are crucial for promoting corporate green innovation (GI). However, the influence and its mechanisms of CEO green experience (GreCEO) on GI of energy firms, especially when comparing different firm types holistically, remain understudied. This study used a moderated mediation model with fixed effects to examine the relationship between GreCEO and GI of energy firms, based on the unbalanced panel data of 821 listed Chinese energy firms during 2004–2021. We find that: (1) GreCEO positively affects energy firms’ GI. (2) Heterogeneity exists in the GI effect of GreCEO regarding business ownership and industry characteristics, and this effect is more prominent in non-state-owned energy firms and high-tech energy firms. (3) Green management (GM) and debt-to-asset ratio (DAR) partially mediate GreCEO's impact on GI of energy firms. (4) Renewable energy policy (REP) moderates the relationship between GreCEO and GI of energy firms, and its influencing mechanisms. In contrast to studies that focus on the direct effect of CEO characteristics on GI, this study identifies the potential influencing mechanisms through which GreCEO affects GI of energy firms. In addition, the moderation analysis reveals the boundary condition that GreCEO affects GI, enriching our understanding of GreCEO's effect on GI from the perspective of a firm's internal conditions and external policy environment. Regarding green development, CEOs’ early experience should be included in the management system and evaluation criteria of energy firms. The Chinese government should continue to implement the REP and accelerate energy firms’ green transition.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136136357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the impacts of tourism development and exchange rate on renewable energy demand in China: A nonlinear perspective 旅游业发展和汇率对中国可再生能源需求的影响:一个非线性视角

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-29 DOI: 10.1177/0958305x231195362

None Chenjie, Xu Yunbao, Peng Zhubin, Sidra Sohail

{"title":"Exploring the impacts of tourism development and exchange rate on renewable energy demand in China: A nonlinear perspective","authors":"None Chenjie, Xu Yunbao, Peng Zhubin, Sidra Sohail","doi":"10.1177/0958305x231195362","DOIUrl":"https://doi.org/10.1177/0958305x231195362","url":null,"abstract":"The demand for carbon-free or renewable energy sources is on the rise due to their role in boosting environmental performance and controlling emissions. The majority of previous research is based on the symmetry assumption while analyzing the association between tourism demand (TD), exchange rate volatility (ERV), and renewable energy consumption (REC). To plug this hole, this research scrutinizes the impact of TD and ERV on REC in China. To investigate the short and long-run implications of TD and ERV on REC, this analysis employs the autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) techniques. The study's innovative approach enhances its scientific value through a novel and insightful examination of the variables of interest. The linear model results indicate that TD has a positive and significant long-run impact on REC. Conversely, ERV has a negative and significant long-run impact on REC. The NARDL model finds that a positive TD shock significantly and positively affects REC in the long run, while a negative TD shock does not exert a noticeable impact on REC. A positive ERV shock significantly and negatively affects REC in the long term, whereas a negative ERV shock has an insignificant impact on REC. Conversely, only a positive ERV shock has a significant positive impact on REC in the short run. These findings imply that policymakers must adopt stable and reliable foreign exchange market policies and promote sustainable tourism practices at tourist hotspots.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"62 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136135676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial spillover effect of environmental regulation on environmental efficiency of electric power industry in China 环境规制对中国电力行业环境效率的空间溢出效应

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-29 DOI: 10.1177/0958305x231209418

Jiasen Sun, Tong Liu, Junfei Chu

引用次数: 0

Do technological innovations and clean energies ensure CO₂ reduction in China? A novel nonparametric causality-in-quantiles 技术创新和清洁能源能确保中国减少二氧化碳排放吗?一种新的非参数分位数因果关系

4区环境科学与生态学

Energy & Environment Pub Date : 2023-10-29 DOI: 10.1177/0958305x231210993

Ugur Korkut Pata, Rundong Luo, Mustafa Tevfik Kartal, Tomiwa Sunday Adebayo, Sami Ullah

{"title":"Do technological innovations and clean energies ensure CO2 reduction in China? A novel nonparametric causality-in-quantiles","authors":"Ugur Korkut Pata, Rundong Luo, Mustafa Tevfik Kartal, Tomiwa Sunday Adebayo, Sami Ullah","doi":"10.1177/0958305x231210993","DOIUrl":"https://doi.org/10.1177/0958305x231210993","url":null,"abstract":"Sustainable manufacturing and green growth are prominent concerns for both advanced and emerging countries to reach the sustainable development goals. Most emerging economies rely heavily on fossil fuels to meet their energy needs, which increases greenhouse gas emissions and degrades environmental quality. This study accessed the role of renewable energy, trade globalization, and technological innovations in predicting environmental quality in China using quarterly data from 2001 to 2019. The study employed a novel nonparametric causality-in-quantiles approach, because causality may not exist in the mean, but a higher-order relationship may be observed in the variance. The outcomes revealed that renewable energy, globalization and technology, all have significant and asymmetric power to predict carbon emissions and ecological footprint in China. The main finding of the study is that technology seems to be the most significant predictor of carbon emissions, while the ecological footprint is highly driven by renewable energy. Based on these results, the Chinese government should reduce ecological degradation by increasing investments in technological progress and renewable energy to achieve sustainable development.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"2 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136134821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0