Data: Grouping factors and intergroup heterogeneity in cooking fuel choice: evidence from post-earthquake Nepal

Which socioeconomic factor as a basis for grouping population yields the highest intergroup, but the lowest intragroup, heterogeneity in cooking-fuel choice? In this paper, using post-earthquake data on 747,137 households from Nepal, we construct a Euclidean dissimilarity matrix that exhibits the link between the households’ cooking-fuel choice and their socioeconomic group identities. We then employ PERMANOVA, a distance-based multivariate semiparametric method, and find that ethnicity as a grouping factor leads to about 39.1% of intergroup variance in cooking fuel choice, followed by income (26.3%), education (12.6%), and location (4.1%). We also find two distinct clusters of ethnic groups exhibiting similar fuel-choice behaviors. These findings underscore the importance of ethnic-group specific policies in promoting clean cooking in post-earthquake Nepal.<br>

以何种社会经济因素作为人口分组依据，可使家庭烹饪燃料选择呈现最高的组间异质性与最低的组内异质性？本研究利用尼泊尔震后747137户家庭的调查数据，构建了展示家庭烹饪燃料选择与其社会经济群体身份之间关联的欧氏距离不相似性矩阵。随后，本研究采用置换多元方差分析（PERMANOVA，一种基于距离的多元半参数方法），结果显示：以族裔作为分组因素时，烹饪燃料选择的组间变异约有39.1%可由该因素解释，其次依次为收入（26.3%）、教育水平（12.6%）与居住区位（4.1%）。本研究还识别出两类具有相似烹饪燃料选择行为的族裔集群。上述研究结果凸显了在震后尼泊尔推行针对特定族裔的清洁烹饪政策的重要性。