Innovation and Green Development最新文献

{"title":"Advancements in hydrogen energy systems: A review of levelized costs, financial incentives and technological innovations","authors":"Joseph Nyangon ,&nbsp;Ayesha Darekar","doi":"10.1016/j.igd.2024.100149","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100149","url":null,"abstract":"<div><p>Hydrogen energy systems (HES) are increasingly recognized as pivotal in cutting global carbon dioxide (CO₂) emissions, especially in transportation, power generation, and industrial sectors. This paper offers a comprehensive review of HES, emphasizing their diverse applications and economic viability. By 2030, hydrogen energy is expected to revolutionize various sectors, significantly impacting CO₂ abatement and energy demand. In electricity and power generation, hydrogen could reduce CO₂ emissions by 50–100 million tons annually, requiring 10–20 million tons of hydrogen and an investment of $50–100 billion, underscoring its role in grid stabilization. Additionally, in the heating sector, hydrogen could facilitate a CO₂ abatement of 30–50 million tons. We examine the levelized cost of hydrogen (LCOH) production, influenced by factors like production methods, efficiency, and infrastructure. While steam methane reforming is cost-effective, it poses a larger environmental impact compared to electrolysis. The global life-cycle cost of hydrogen production decreases as production scales up, with current costs ranging from $1–3 per kg for fossil-based sources to $3.4–7.5 per kg for electrolysis using low-emission electricity. These costs are projected to decrease, especially for electrolytic hydrogen in regions with abundant solar energy. However, despite the technical feasibility of decarbonization, high production costs still pose challenges. A systematic and effective transition to a hydrogen economy requires comprehensive policy and financial support mechanisms, including incentives, subsidies, tax measures, and funding for research and development of pilot projects. Additionally, the paper discusses hydrogen's role in advanced storage technologies such as hydrides and Japan's ENE-FARM solution for residential energy, emphasizing the need for strategic investments across the hydrogen value chain to enhance HES competitiveness, reduce LCOH, and advance the learning rates of hydrogen production technologies.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100149"},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000262/pdfft?md5=442a208839d451b96537fec6cc3fb784&pid=1-s2.0-S2949753124000262-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141240826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foreign direct investment and green innovation in China: An examination of quantile regression","authors":"Hao Zhou,&nbsp;Mingbo Zheng","doi":"10.1016/j.igd.2024.100150","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100150","url":null,"abstract":"<div><p>This study employs panel data encompassing 31 provinces in China, spanning the period from 2010 to 2020, to investigate the distributional impact of foreign direct investment (FDI) on green innovation (GI). Employing a panel quantile regression model, the research finds the close association between FDI and GI, particularly considering the local GI foundation. Specifically, FDI plays a crucial and influential role in fostering GI within regions characterized by lower levels of GI. However, it does not have a significant impact on promoting GI in regions with higher levels of GI. Further analysis of regional heterogeneity demonstrates that in coastal areas, FDI exhibits a positive and significant impact on GI in provinces with a moderate level of GI. Conversely, in inland areas, FDI can only facilitate GI in provinces with a high level of GI. The research conclusion suggests that the government should enhance the intensity of FDI and implement tailored policies according to the specific characteristics of coastal and inland regions.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100150"},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000274/pdfft?md5=ce57ec02e5908eb0744cc16207a92176&pid=1-s2.0-S2949753124000274-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141067690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of industrial robot on labour productivity: Empirical study based on industry panel data","authors":"Yantong Zhao,&nbsp;Rusmawati Said,&nbsp;Normaz Wana Ismail,&nbsp;Hanny Zurina Hamzah","doi":"10.1016/j.igd.2024.100148","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100148","url":null,"abstract":"<div><p>This empirical analysis explores the impact of industrial robots on labour productivity using panel data of 17 Chinese industries from 2006 to 2021. The results reveal that the development of industrial robots significantly improves labour productivity; a series of robustness tests validate this outcome. However, the impact of industrial robots on labour productivity varies across industry types. The influence coefficient of the low-density robotics industry is larger than that of the high-density robotics industry. Furthermore, although the scale of industrial robot usage before 2012 was smaller than that after 2012, its effect on labour productivity was more significant. Our findings indicate the possibility of diminishing marginal effect of industrial robots in promoting labour productivity. The mechanism analysis demonstrates that human capital level has a complete intermediating effect between industrial robots and labour productivity. Thus, industrial robot applications can contribute to labour productivity by optimising human capital structure. These findings provide crucial insights for governments and policy makers to improve labour productivity and economic growth.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 2","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000250/pdfft?md5=2cec7d397d25160e692962a455ccbf78&pid=1-s2.0-S2949753124000250-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140909833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From pollution to progress: Groundbreaking advances in clean technology unveiled","authors":"Harshita Jain","doi":"10.1016/j.igd.2024.100143","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100143","url":null,"abstract":"<div><p>The revolutionary journey of clean technology over the last ten years is described in this study, which also identifies the key innovations that have changed the face of sustainability and helped us move toward a cleaner, greener future. The study delves deeply into several clean technology concepts, such as green building solutions, waste management, renewable energy, and transportation. It focuses at how cutting-edge technology have transformed the energy industry and increased the efficiency and accessibility of renewable energy sources like solar and wind power. It also examines the remarkable advancements in waste management, highlighting state-of-the-art recycling and waste-to-energy technology that are lowering landfill waste and mitigating environmental damage. The study also highlights ground-breaking developments in transportation, such sustainable fuels, and electric cars, which are changing the automotive sector and lowering carbon emissions. It also highlights the considerable advancements in green building techniques, showcasing intelligent systems, sustainable design principles, and energy-efficient materials that are transforming the building industry. This study analyses these incredible advancements in clean technology to show what further possibility there is to build a sustainable future. It aims to inspire people, entities, and decision-makers to adopt these technologies and strive toward a future in which pollution yields to advancement, creating the way for a more inhabitable, healthy, and sustainable earth.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 2","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000201/pdfft?md5=278de434cee9812af58d19105c0d665a&pid=1-s2.0-S2949753124000201-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140649923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influences of economic progress, natural resources, and capitalization on financial development in the United States","authors":"Asif Raihan","doi":"10.1016/j.igd.2024.100146","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100146","url":null,"abstract":"<div><p>The significance of natural resources in facilitating financial activity is crucial in achieving a nation's sustainable economic advancement. This research directed to investigate the consequences of economic growth, rents of natural resources, and capitalization on financial development within the context of the United States (US). The investigation utilized the autoregressive distributed lag (ARDL) simulation, employing a dataset spanning the years 1970–2021. The outcome of the ARDL bound test supported the occurrence of cointegration midst the factors. The conclusions of the empirical analysis suggest that an outgrowth of 1% in natural resource rent, economic expansion, and capitalization would lead to a corresponding long-term increase of 0.30%, 0.26%, and 0.25% in financial development. Additionally, in the near term, these factors would contribute to an expansion of 0.22%, 0.22%, and 0.19% in financial development. Besides, the probe employed the Granger causality check to inspect the causal liaison concerning the factors. The investigation's results would stipulate visions for legislators in formulating a complete policy intended at augmenting the connection between finance and economy, with a specific focus on operating natural resources as a means to achieve sustainable development.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 2","pages":"Article 100146"},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000237/pdfft?md5=6f79e0dd4e989f4b4de7322e9b34a85a&pid=1-s2.0-S2949753124000237-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140619006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"National ESG index update: An assessment of the G20 countries","authors":"Ping-Chuan Jiang","doi":"10.1016/j.igd.2024.100147","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100147","url":null,"abstract":"<div><p>This paper reviews and updates the indicator system constructed by previous scholars. The update of the index includes: Firstly, the latest data of 2021 is added to the original data of 1990–2020. Secondly, the World Bank's indicator system has been restructured and optimized, for example by removing duplicative and unimportant indicators. To demonstrate the characteristics of the updated national ESG indices, this paper conducts a preliminary analysis of the ESG performance of 19 members of the G20 and draws the following conclusions: In general, the national ESG performance of all G20 countries has increased from 1990 to 2021. China has experienced the largest growth, jumping from last to first place in the East Asia group, which is strongly correlated with regulators' aggressive pursuit of high-quality development through environmental regulation and the Chinese government's goal of achieving carbon neutrality by 2060. ESG development has been slow in India and South Africa, where racial issues, social inequality and government corruption continue to constrain ESG performance.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 2","pages":"Article 100147"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000249/pdfft?md5=50cb2e6b0d53e95b3e66422ffc2d5eaa&pid=1-s2.0-S2949753124000249-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140555683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ESG performance and business risk—Empirical evidence from China's listed companies","authors":"Fei Chen ,&nbsp;Yue-hu Liu ,&nbsp;Xue-zhao Chen","doi":"10.1016/j.igd.2024.100142","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100142","url":null,"abstract":"<div><p>Under the dual-carbon background, enterprises' ESG performance and sustainable development capability have become a topic of great concern to all sectors of society. The ESG industry in China is very young, and there isn't much research looking at how ESG performance relates to business risk for corporations. This paper empirically tests the impact of firms' ESG performance on their business risk. It discusses the mechanism from the viewpoints of financing constraints and agency costs, the moderating role of economic policy uncertainty, and the analysis of differences in corporate size. The results indicate that firms with strong ESG performance experience a significant reduction in business risk. These firms face lower financing constraints and agency costs, which contribute to the mitigation of business risk. Furthermore, economic policy uncertainty moderates the link between ESG performance and business risk. Additionally, the influence of ESG performance on business risk is more significant in larger-scale companies.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000195/pdfft?md5=36c7f3184ce704769166fd1fe501516a&pid=1-s2.0-S2949753124000195-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140328036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic growth and environmental impact: Assessing the role of geothermal energy in developing and developed countries","authors":"Ghalieb Mutig Idroes ,&nbsp;Irsan Hardi ,&nbsp;Iin Shabrina Hilal ,&nbsp;Resty Tamara Utami ,&nbsp;Teuku Rizky Noviandy ,&nbsp;Rinaldi Idroes","doi":"10.1016/j.igd.2024.100144","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100144","url":null,"abstract":"<div><p>Geothermal energy is both a clean and sustainable energy source that contributes to economic growth (GDP) and environmentally friendly, as it releases much less harmful greenhouse gas (GHG) emissions than fossil fuels. This study presents a novel perspective by examining the dynamic impact of geothermal energy on GDP and GHG emissions in both developing and developed countries from 2000 to 2019. By employing Autoregressive Distributed Lag (ARDL) estimations, our study demonstrates a negative impact of geothermal energy on short-run GDP but also proves to be a positive contributor to long-run GDP, particularly in developed countries. Additionally, our study unveils a noteworthy discovery that geothermal energy has a positive effect on GHG levels in both country groups over the long run, although the coefficient is lower in developed countries. These findings are robust and confirmed through Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) techniques. The ARDL findings are justified by the Dumitrescu Hurlin (D-H) causality model, indicating the existence of unidirectional causality from GHG emissions to geothermal energy. Based on this empirical evidence, we suggest policymakers support geothermal energy projects through streamlined processes, incentives, and ongoing policy reviews for environmental sustainability and economic growth.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000213/pdfft?md5=4df1ee33a95e3af3c677482ea9224c5e&pid=1-s2.0-S2949753124000213-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140209453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do institutional quality and human capital matter for innovation in case of Asian region?","authors":"Subal Danta,&nbsp;Badri Narayan Rath","doi":"10.1016/j.igd.2024.100141","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100141","url":null,"abstract":"<div><p>The primary aim of the study is to investigate the role of institutional quality and human capital on innovation in the case of Asian economies. By utilizing annual data from 39 Asian countries spanning over 2000 to 2021, we find that institutional quality and human capital are the principal drivers of innovation. Further, the study investigates by distinguishing them into resident and non-resident patent applications, which show similar results. These findings highlight the significance of prioritizing these key factors to promote innovation activities in Asian countries.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000183/pdfft?md5=ffccc54b4b63621d41dfeb85b092589b&pid=1-s2.0-S2949753124000183-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140069287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing changes in mangrove forest cover and carbon stocks in the Lower Mekong Region using Google Earth Engine","authors":"Megha Bajaj ,&nbsp;Nophea Sasaki ,&nbsp;Takuji W. Tsusaka ,&nbsp;Manjunatha Venkatappa ,&nbsp;Issei Abe ,&nbsp;Rajendra P. Shrestha","doi":"10.1016/j.igd.2024.100140","DOIUrl":"https://doi.org/10.1016/j.igd.2024.100140","url":null,"abstract":"<div><p>The Lower Mekong Region (LMR) faces significant loss of mangrove forests, yet limited studies have explored this decline in the region. Here, we employ Google Earth Engine and Landsat satellite imagery to assess changes in mangrove forest cover across Myanmar, Thailand, Vietnam, and Cambodia between 1989 and 2020, with a five-year interval. Accordingly, we estimated carbon stock changes due to changes of forest cover. Our analysis yielded an overall average accuracy of 92.10% and an average kappa coefficient of 0.89 across the four countries. The findings reveal a 0.9% increase in mangrove area in Myanmar, 2.5% in Thailand, and 1.3% in Cambodia, while Vietnam experienced a 0.2% loss annually between 1989 and 2020. Carbon stocks in mangrove forests were estimated at 577.0 ​Tg of carbon or TgC, 250.0 TgC, 61.6 TgC, and 269.0 TgC in 1989 for Myanmar, Thailand, Cambodia, and Vietnam respectively, and increased to 736.0 TgC, 443.0 TgC, 86.7 TgC, and 254 TgC in 2020. Increase in mangrove areas resulted in carbon removals of 42.8 TgCO₂ year⁻¹ over the same period above. Depending on policies in these respective countries, such carbon removals could be used to claim for result-based payment under the REDD ​+ ​scheme of the United Nations Framework Convention on Climate Change.</p></div>","PeriodicalId":100674,"journal":{"name":"Innovation and Green Development","volume":"3 3","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949753124000171/pdfft?md5=f78ce669c38acbe5dc4bbeeaca4304c4&pid=1-s2.0-S2949753124000171-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139985248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}