Datasets Comparison

Examining livelihood assets is crucial for displaced people, as it informs effective resource allocation and support. This research examines the livelihood decisions of households affected by the Tanahu Hydropower Project in Nepal, shedding light on their multifaceted aspirations, from immediate financial needs to long-term ambitions such as children's success. Multinomial logistic regression analysis reveals that physical assets significantly influence livelihood choices. Surprisingly, social assets had negative influence, while natural, financial, and human assets were not significant. Post-displacement livelihood outcomes show modest gains in employment prospects and access to necessities. Increased availability of tap water has resulted in a noticeable improvement in water quality. However, the average daily income of 1.962 USD highlights persistent financial challenges.

My data was collected through the survey. The data was calculated using the multinomial regression through SPSS. Others can use the data in order to compare between the similar situation of hydropower displacement in their country.

Hydroelectric Energy, Sustainability, Population Displacement

Creative Commons Attribution 4.0 International

Examining livelihood assets is crucial for displaced people, as it informs effective resource allocation and support. This study investigates the livelihood decisions of households displaced by Nepal's Tanahu Hydropower Project, using multinomial logistic regression to assess how different assets affect their choices. It finds that physical assets significantly influence livelihood strategies, promoting diversification and non-farm activities. Surprisingly, social assets have a negative impact, while natural, financial, and human assets show no significant effect. The research highlights the community's focus on economic stability, balancing immediate financial needs with long-term goals like children's education. However, it reveals ongoing financial struggles, with an average daily income of only 1.962 USD and many households remaining in poverty, especially those dependent on farming. The study also reflects on the mixed perceptions towards government policies, influenced by factors such as skill gaps and family aspirations. These findings provide essential insights for targeted support and resource allocation to displaced populations.

The data was collected through the survey. The data was calculated using the multinomial regression through SPSS. Others can use the data in order to compare between the similar situation of hydropower displacement in their country.

Hydroelectric Energy, Sustainability, Population Displacement

Creative Commons Attribution 4.0 International