Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries

Attaining higher level of the energy efficiency is being considered as a preferred and cost-effective policy option to achieve economic propensity, environmental sustainability and improved energy security in recent years. This drive to achieve higher energy efficiency levels is mainly motivated by higher international oil prices during last two decades, the concerns regarding energy supply security and rising CO2 emissions globally. In this background, this study decomposes energy intensity into structural and activity effects, and empirically examines their impact on CO2 emissions in environmental Kuznets curve framework for the developing economies. Second generation methodological approach is adopted. The decomposed indices reflect that energy efficiency has played a key role in decreasing energy intensity, while structural shifts have caused only a minor reduction in energy intensity. The findings suggest that energy efficiency improvements have largest influence on CO2 emissions mitigation. In developing countries as a whole, energy efficiency has positive while structural shifts have negative relation with CO2 emissions in long run. The findings presented that energy efficiency is major contributor of CO2 emissions reduction. While structural shifts in developing countries tend to increase CO2 emissions because these countries are moving towards the sectors that are producing more pollution. However, the income is one of the major contributors of CO2 emissions. While renewable energy consumption has negative and industrialization has positive impact on CO2 emissions in developing countries. The study outcomes are utilized to develop a policy framework for attaining the SDG 7 and SDG 13 in the chosen countries

Revisiting the Role of Tourism and Globalization in Environmental Degradation in China: Fresh Insights from the Quantile ARDL Approach

Ascertaining sustainable development is a major issue across the globe, and the economic growth pattern achieved is a predominant reason behind this. The globalization-led economic growth achieved by the emerging economies might not be ecologically sustainable, as globalization might not have been utilized as a policy tool. Moreover, a sound policy calls for considering the entire data spectrum for the analysis, which is largely ignored in the literature. This research contributes to the literature by proffering a policy framework for the emerging economies by analyzing the impact of globalization and tourism on environmental degradation, by considering the Chinese context as a sample. Following the quantile autoregressive distributed lag model, the impact of economic growth, globalization, and tourism on greenhouse gas emissions, carbon dioxide emissions, and the ecological footprint in China over 1978Q1-2017Q4 are analyzed. The results demonstrate that economic growth stimulates environmental degradation, while the presence of Environmental Kuznets Curve is also validated. Moreover, tourism has been found to exert positive environmental externalities, while globalization exerts negative environmental externalities. Based on the outcomes of the research, a comprehensive policy framework has been suggested, following which the Chinese economy might be able to attain the objectives of Sustainable Development Goals 7, 8, and 13

The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach

Transportation infrastructure is a pillar of economic development as well as a main contributor to climate change. Therefore, it is necessary to transform the transport sector investment into climate-resilient, low-carbon transportation choices in order to achieve sustainable transportation infrastructure. In case of China, this transformation might be necessary from the perspective of the “New-style Urbanization” strategy, and for fulfilling this strategy, policy realignment is required. To address this policy-level void in the literature, we explore the influence of public private partnerships investment in transport sector, renewable energy consumption, urbanization on transport-induced carbon emissions in China. For this purpose, we apply Quantile Autoregressive Distributed Lagged (QARDL) method during 1990Q1-2018Q4. Based on the results of the study, a multipronged sustainable development goal (SDG) framework has been suggested, under which SDG 11, SDG 13, and SDG 8 are addressed, while using SDG 17 as a vehicle

Genipin cross-linked antimicrobial nanocomposite films and gamma irradiation to prevent the surface growth of bacteria in fresh meats

International audienceA 125 μg/mL of nisin and 30 mM of disodium ethylenediaminetetraacetate (EDTA) were immobilized on the surface of the nanocrystal (CNC)/chitosan nanocomposite films by using genipin as a cross-linking agent. The effect of low-dose gamma irradiation on the antimicrobial activity of the films was tested in vitro against Escherichia coli and Listeria monocytogenes. The genipin cross-linked films prepared by irradiating at 1.5 kGy demonstrated the highest antimicrobial activity against both the bacteria at the end of 35 days of storage at 37 °C showing an inhibition zone of 27.1 mm for E. coli and 27.7 mm for L. monocytogenes as compared to 23.4 mm and 23.8 mm for the same respective bacteria at day 1. The films restricted the growth of psychrotrophs, mesophiles and Lactobacillus spp. (LAB) in fresh pork loin meats and increased the microbiological shelf-life of meat sample by more than 5 weeks. The films also reduced the count of E. coli and L. monocytogenes in meat samples by 4.4 and 5.7 log CFU/g, respectively, after 35 days of storage

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Alginate based nanocomposite for microencapsulation of probiotic: Effect of cellulose nanocrystal (CNC) and lecithin.

International audienceProbiotic (Lactobacillus rhamnosus ATCC 9595) was encapsulated in alginate-CNC-lecithin microbeads to produce nutraceutical microcapsules. Addition of CNC and lecithin in alginate microbeads (ACL-1) improved the viability of L. rhamnosus during gastric passage and storage. The compression strength of the freeze-dried ACL-1 microbeads improved 40% compared to alginate microbeads alone. Swelling studies revealed that addition of CNC and lecithin in alginate microbeads decreased (around 47%) the gastric fluid absorption but increased the dissolution time by 20min compared to alginate microbeads (A-0). During transition through the gastric passage, the viability of L. rhamnosus in dried ACL-1 microbeads was increased 37% as compared to A-0 based beads. At 25 and 4°C storage conditions, the viability of L. rhamnosus encapsulated in ACL-1 microbeads decreased by 1.23 and 1.08 log respectively, whereas the encapsulation with A-0 microbeads exhibited a 3.17 and 1.93 log reduction respectively

Genipin cross-linked antimicrobial nanocomposite films and gamma irradiation to prevent the surface growth of bacteria in fresh meats.

International audienceA 125 μg/mL of nisin and 30 mM of disodium ethylenediaminetetraacetate (EDTA) were immobilized on the surface of the nanocrystal (CNC)/chitosan nanocomposite films by using genipin as a cross-linking agent. The effect of low-dose gamma irradiation on the antimicrobial activity of the films was tested in vitro against Escherichia coli and Listeria monocytogenes. The genipin cross-linked films prepared by irradiating at 1.5 kGy demonstrated the highest antimicrobial activity against both the bacteria at the end of 35 days of storage at 37 °C showing an inhibition zone of 27.1 mm for E. coli and 27.7 mm for L. monocytogenes as compared to 23.4 mm and 23.8 mm for the same respective bacteria at day 1. The films restricted the growth of psychrotrophs, mesophiles and Lactobacillus spp. (LAB) in fresh pork loin meats and increased the microbiological shelf-life of meat sample by more than 5 weeks. The films also reduced the count of E. coli and L. monocytogenes in meat samples by 4.4 and 5.7 log CFU/g, respectively, after 35 days of storage

How social imbalance and governance quality shape policy directives for energy transition in the OECD countries?

In line with the COP26 Summit objectives, this paper develops a policy framework to achieve energy transition by considering the social imbalances and regulatory effectiveness. A new energy transition index is proposed. It is an output-side indicator based on the energy ladder hypothesis. This index enables to apprehend the energy transition scenario in any country by capturing (a) the transition to a cleaner energy source, and (b) the transition to more energy efficient sources. Using the two-step System GMM approach and data for 37 OECD countries over the 2000–2019 period, the dynamic and extreme marginal impacts of energy transition drivers with respect to estimates of the model parameters are analyzed. The results show that the social imbalance dampens the positive impacts of energy transition drivers, whereas governance quality helps in augmenting those impacts. The outcomes, drawn from a scenario-based policy design approach, are particularly helpful in advancing potential policy discourse. They have important practical implications for the development of the SDG-oriented policy framework, with special focus on the attainment of the SDG 7 and 13