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Meta-analysis of empirical evidence on energy poverty: The case of developing economies

机译：荟萃分析能源贫困的经验证据：发展中经济体的案例

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Energy poverty has evolved as an important issue of research from academic and policy perspectives during the last two decades. The energy poverty estimates exhibit widespread variations across regions, methodologies and datasets, making the task of energy and development policies challenging. The variations in energy poverty estimates necessitate a systematic and rigorous analysis of these empirical studies to obtain a true measure of energy poverty. The present study conducts a meta-analysis of 30 studies and 103 estimates of energy poverty. On average, 71.1 percent of the population in the overall sample studies has been identified as energy poor. High I-square statistic values suggest heterogeneity bias in the sample studies; therefore, analysis at the subgroup level has been conducted. Meta-regression analysis of overall sample and subgroups has identified type of methodology, citations, impact factor of the journal, regional dummies, average key crude oil price and gross domestic product as significant factors that explain heterogeneity in the energy poverty effect sizes. We recommend inclusion of local and regional factors in assessment of energy poverty for developing a uniform methodology to assess energy poverty across developing economies.
机译：能源贫困在过去二十年中，作为学术和政策观点的重要研究。能源贫困估计跨越地区，方法和数据集的广泛变化，使能源和发展政策挑战的任务。能量贫困的变化估计需要对这些实证研究进行系统和严格的分析，以获得真正的能源贫困衡量标准。本研究进行了30项研究的荟萃分析和103个能量贫困估计。平均而言，总体样本研究中的71.1％已被确定为能量差。高I-Square统计值表明样品研究中的异质性偏见;因此，已经进行了在子组级别的分析。整体样本和亚组的元回归分析已经确定了关于杂志，区域假人，平均主要原油价格和国内生产总值中的方法，引文，平均主要原油价格和国内生产总值的类型，这是解释能源贫困效果大小的异质性的重要因素。我们建议将本地和区域因素纳入评估能源贫困，以发展统一的方法，以评估发展中国家的能源贫困。

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