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Öğe Integrated analysis of energy-economic development-environmental sustainability nexus: Case study of MENA countries(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020) Ibrahim, Mustapha D.; Alola, Andrew AdewaleThe new industrialization necessitates the integration of energy efficiency, economic development, and environmental sustainability. However, quantifying the efficiency of renewable energy towards economic development is an ongoing debate. On this basis, this study presents a multi net-put efficiency and conventional efficiency approach to analyze non-renewable energy and renewable energy efficiency towards economic development and environmental sustainability nexus. Data Envelopment Analysis (DEA) is utilized to estimate multi net-put conventional and renewable energy efficiency. Likewise, the Autoregressive Distributed Lag (ARDL) Pooled Mean Group (PMG) approach is applied to examine the impact of non-renewable efficiency on economic growth, total natural resource rent and environmental quality. Results show that the efficiency nexus of conventional energy is significant and higher (98%) than renewable energy (69.5%) for the evaluated period (2006-2016). None-theless, conventional energy efficiency of the panel of MENA countries worsen the environmental quality, thus does not enhance environmental sustainability especially in the long-run. The results also posit that economic growth in the panel of MENA countries is detrimental to the region's environmental sustainability. Further analysis indicates that the inefficiency of renewable energy nexus has more to do with scale size inadequacy rather than operational deficiency. Therefore, resources and policies must be targeted towards up scaling renewable energy capacity accompanied with cautious and target oriented strategy.Öğe A two-stage data envelopment analysis approach to productivity, efficiency and their sustainability in the hotel industry of Tunisia(Springer Science and Business Media B.V., 2023) El Alaoui, Maryam H.; Ibrahim, Mustapha D.; Daneshvar, Sahand; Alola, Uju Violet; Alola, Andrew AdewaleIntegrating sustainable practices to hotel industry is crucial to overall business and environmental sustainability. The productivity, efficiency, and their sustainability in hotel industry of Tunisia (years: 2014–2015) is analyzed using two-stage Data Envelopment Analysis. The study employed a bootstrapping method to correct possible bias associated with the efficiency scores. Tobit regression analysis was used to find the relationship between efficiency and sustainability indicators. In addition, Malmquist productivity index was adopted to estimate productivity. A comparison is done on the efficiency and productivity of touristic regions of Tunisia and the effect of the sustainability indicators like water consumption, tourism gross domestic product and poverty rate. Results show that Tunisian hotel industry has experienced decline in efficiency from 2014 to 2015. Further analysis shows that operational inefficiency is the root-cause of the underperformance rather than scale inadequacy. Water consumption and direct contribution of tourism to gross domestic product has a positive impact on the efficiency of the country’s hotel industry. Poverty rate negatively affects the efficiency of the country’s hotel industry. Integrated practices with operational improvement and sustainability practices are recommended as policy mechanism. To support required water and sustainability, water-recycling plants are also suggested, coupled with Corporate Social Responsibility projects. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.Öğe A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021) Ibrahim, Mustapha D.; Alola, Andrew Adewale; Ferreira, Diogo CunhaStress on ecological resources affects the sustainability of the socio-ecological system (SES). Interconnections within SES are involved. Therefore, this study considered indicators that are composite of the interconnections to estimate SES efficiency. We employed the non-parametric benchmarking order-? model, from Data Envelopment Analysis (DEA), to estimate SES efficiency and alleviate possible intricacies. We evaluated twenty-four SubSaharan African (SSA) nations observed from 2000 to 2014. More than half of them were inefficient. An increase in food production and environmental performance is essential for SES efficiency improvement. Quantile regression found that human development (through the lifespan, education, and standard of living) is related to the SES efficiency improvement. The SES efficiency is likely negatively associated with higher values of both female proletariat and carbon emissions. Policymakers should increase the concerted efforts of empowering human capacity and minimize the gender gap within SSA countries to become efficient and fulfill sustainable development goals.