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Article
Management
Idris Abdullahi Abdulqadir
Summary: This study uses dynamic panel methods to examine the relationships between economic growth, trade openness, renewable energy consumption, and environmental degradation among OPEC members. The findings suggest a long-term relationship between economic growth and environmental degradation, and identify actionable thresholds for CO2 emissions and complementary thresholds for trade policies.
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT
(2023)
Editorial Material
Management
Ali Emrouznejad et al.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Green & Sustainable Science & Technology
Kelvin K. Orisaremi et al.
Summary: A major goal of the SE4ALL Initiative is to improve energy efficiency through an energy mix. This study proposes a methodology for estimating the required power from flare gas using directional distance DEA model. The results show that an optimal energy mix for Venezuela includes 40% gas-based power and 60% renewable energy, which can meet the nation's energy shortage more than three times over.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Food Science & Technology
Leonardo Bertassello et al.
Summary: Global wheat trade data for 2022 reveals disparities in how countries responded to Ukrainian wheat shortages, with some countries experiencing significant import losses. The decrease in Ukrainian wheat exports led to over 70% import losses in vulnerable countries such as Egypt, Oman, Saudi Arabia, Libya, Mauritania, Yemen, and Lebanon. The differential impacts highlight the importance of access to capital and international trade, emphasizing the need for policy measures to prevent a food crisis.
Article
Environmental Sciences
Dragana Ostic et al.
Summary: This study assesses the impact of oil and gas trading, foreign direct investment inflows, and economic growth on carbon emissions for OPEC member countries. The findings show that there is not a significant relationship between oil and gas export and carbon emissions, while foreign direct investment inflows have a negative relationship and economic growth has a positive relationship with carbon emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Mathematics
Anna Firsova et al.
Summary: This study aims to evaluate the efficiency and development characteristics of the knowledge-intensive services sector in Russian regions through mathematical modeling, using methods such as data envelopment analysis and Malmquist productivity index. The results of the study show a positive development trend in this sector in Russian regions, highlighting the importance of economies of scale in its growth.
Article
Nutrition & Dietetics
Juan P. Gonzalez-Rivas et al.
Summary: During the COVID-19 pandemic, Venezuela, a middle-income country with a chronic humanitarian crisis, demonstrated the feasibility and effectiveness of the DPP program in a primary setting, achieving weight loss and improvements in cardiometabolic risk factors.
Article
Mathematics
Zhishuo Zhang et al.
Summary: In this study, an integrated model of data envelopment analysis (DEA) and machine learning is proposed for performance prediction, with China's carbon-emission performance as an example. The study discusses two schemes to improve the prediction effectiveness of the integrated model in terms of training set partitioning and feature selection, and demonstrates their effectiveness. The study has application value and complements the existing literature.
Article
Environmental Studies
Katerina Pekarcikova et al.
Summary: The article explores the determinants of economic growth in OPEC member countries and reveals that daily oil production, oil exports, and oil prices have a positive impact on GDP, while unemployment and exchange rates have a negative impact. No correlation is found between inflation, population growth, oil demand, and GDP.
Article
Social Sciences, Interdisciplinary
Ismaila Rimi Abubakar
Summary: Nigeria has the highest number of people living on less than USD1.90 a day, and electricity access is the most significant predictor of poverty in the country. Improving electricity supply, education, water resources, sanitation, and healthcare is crucial for reducing multidimensional poverty.
SOCIAL INDICATORS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Kelvin K. Orisaremi et al.
Summary: This study proposes a novel application of the inverse data envelopment analysis (DEA) model for implementing lean production practices in the petroleum industry. By incorporating lean practices, oil-producing nations can increase oil production without increasing their current levels of flared gas. Reductions in gas flaring were computed for selected nations and converted into gross power outputs. The concept of lean potential growth was integrated into an improved model to rank efficient oil producers.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Zohreh Moghaddas et al.
Summary: In recent years, globalization has emphasized the importance of sustainable supply chains in the development of organizations and production systems. Efficient supply chains not only increase profits but also ensure responsiveness and sustainability. Different versions of data envelopment analysis models have been used to evaluate supply chain performance. The inverse data envelopment analysis model is employed to analyze parameter sensitivity and assess the risk of changes in inputs and outputs.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Economics
Mojtaba Ghiyasi et al.
Summary: The paper aims to use the inverse DEA method to analyze the efficiency and post-efficiency of 130 public hospitals in Iran. Due to the availability of some hospital data only in the form of ratios, a novel inverse DEA methodology is developed to handle such cases.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Environmental Sciences
Haider Mahmood et al.
Summary: This study explores the asymmetrical effects of oil rents on CO2 emissions in 13 current OPEC economies and tests the Environmental Kuznets Curve (EKC) hypothesis. The results validate EKC in some countries, while highlighting the asymmetrical impact of oil rents on emissions in others.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Dirgahayu Lantara et al.
Banks and Bank Systems
(2022)
Article
Computer Science, Artificial Intelligence
Kelvin K. Orisaremi et al.
Summary: The gas flaring process is a significant contributor to climate change and restricts access to affordable energy sources for oil-producing nations. Implementing lean production practices in the petroleum industry can help increase oil production without increasing flared gas, as shown in a novel application of the inverse DEA model. By incorporating lean practices, efficient producers can achieve production targets while reducing gas flaring, ultimately improving operational sustainability in the industry.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Energy & Fuels
Kelvin K. Orisaremi et al.
Summary: The study utilized an extended inverse data envelopment analysis model to estimate potential reductions in global gas flaring, highlighting inefficient oil producers among OPEC member nations. The results indicated significant potential for emission reductions, with recommendations for the optimal sizing of turbine units for the gas-to-wire process.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Matthew Wegener et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2019)
Article
Green & Sustainable Science & Technology
Mojtaba Ghiyasi
JOURNAL OF CLEANER PRODUCTION
(2017)
Review
Green & Sustainable Science & Technology
Sunday Olayinka Oyedepo
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2012)
Article
Management
Ali Emrouznejad et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2010)
