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A slew of economic, environmental, and social concerns has pushed policymakers and governments to embrace renewable energy (RE) technologies in order to ensure a sustainable energy future. RE technologies have a beneficial effect on the environment and social well-being. Therefore, this study presents a method for systematically determining and ranking the benefits of adopting RE technologies in remote areas and possible solutions. The present analysis is structured into four distinct levels. The benefits of RE technologies were identified through a comprehensive review of relevant literature. The Delphi technique was employed to reach a consensus and classify the advantages. Fourteen benefits were determined and classified according to seven primary criteria. Furthermore, the Fuzzy Analytic Hierarchy Process was employed to determine the weights and rankings. The Fuzzy VIekriterijumsko KOmpromisno Rangiranje method was ultimately used to evaluate the potential alternatives. The integrated method result significantly reveals that the environmental criteria are the most critical factor, with a weight of (0.1727), and are followed by the quality of energy aspect, with a weight of (0.1617). Moreover, the global weights show that Sustainability is ranked highest, followed by Skill development, then the other sub-benefits within different categories. These two benefits have relative weights of (9.9164%) and (9.4924%), respectively. Furthermore, the most effective solution facilitating local and foreign investors was the most promising among the four recommended alternatives. The quote has proven that it benefits the government and policymakers in deploying RE technologies and resolving energy challenges in remote areas of developing nations like Pakistan. [ABSTRACT FROM AUTHOR]

In a challenging environment, renewable energy (RE) entrepreneurs promote and encourage the enactment of new technologies and concepts, but they face several hurdles in promoting them. A basic research gap exists in investigating the ecopreneurship obstacles to RE development by using multiple-criteria decision-making (MCDM) approaches under uncertainty in a comprehensive study, this research thus intends to fill a research gap with the fuzzy MCDM approach to tackle the entrepreneurial obstacles to emerging economies' power generation growth, which can be divided into two parts. Firstly, a literature survey and discussion with experts were used to identify prospective obstacles. Secondly, a novel Spherical Fuzzy Analytical Hierarchical Process was used to finalize obstacle weights. The results showed that the 'Inadequate government or policy support' category, with a final weight of (0.2093), is the most essential among the major categories, and 'inadequate access to institutional finance' becomes the second rank. Compared with Pythagorean fuzzy AHP, our suggested technique incorporates more details considering the uneasiness of the decision-making atmosphere. In contrast, the overall global orders of obstacles revealed that 'Accessing credit', with a final weight of (0.0737), is more important than the other twenty-six obstacles. • Identifying and prioritization of ecopreneur's obstacles to renewable energy technologies promotion. • Twenty-six obstacles were identified and categorized into six types of barriers. • We used the Spherical and Pythagorean fuzzy analytical hierarchical process methodology to estimate and rank the barriers. • The final results show that the two most important obstacle categories are Inadequate government or policy support and Inadequate access to institutional finance. • Accessing credit and Poor provision and access to formal finance problems are ranked first and second in overall barriers. [ABSTRACT FROM AUTHOR]