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Taking advantage of the 2019/2020 Mozambican household budget survey, in the field both before and during the first phases of the Covid-19 pandemic, we assess the impact of Covid-19 on welfare in 2020, aiming to disentangle this impact from the effect of other shocks. Comparing a number of welfare metrics, and applying propensity score matching and inverse probability weighted regression adjustment approaches, we find that consumption levels are significantly lower and poverty rates substantially higher during the first phases of Covid-19 than in the pre-Covid-19 period. Moreover, the impact was greater in urban areas and accordingly in the more urbanised southern region. Non-food expenditures suffered relatively more than food expenditures, likely a coping strategy, while the impact on consumption levels was greater for people working in the secondary and tertiary sectors than for workers in the primary sector, mainly agriculture. Stunting among under-5 children also suffered. Only a limited number of countries have actual, collected in-person, survey data that span across the initial phases of the Covid-19 pandemic. Thus, the present analysis adds value to our understanding of the welfare consequences of Covid-19 in a low-income context, where automatic social safety nets were not in place during the early phases of the pandemic. More specifically, it helps in assessing the results of previous welfare impact simulations, compared to real data. Even though our main findings are broadly in line with existing estimates based on simulations or phone surveys, important differences between the predictions and the actual results emerge. We conclude that it is critically important for Mozambique and its development partners to develop stronger and more targeted policies and tools to respond to temporary shocks.
Taking advantage of the 2019/2020 Mozambican household budget survey, in the field both before and during the first phases of the Covid-19 pandemic, we assess the impact of Covid-19 on welfare in 2020, aiming to disentangle this impact from the effect of other shocks. Comparing a number of welfare metrics, and applying propensity score matching and inverse probability weighted regression adjustment approaches, we find that consumption levels are significantly lower and poverty rates substantially higher during the first phases of Covid-19 than in the pre-Covid-19 period. Moreover, the impact was greater in urban areas and accordingly in the more urbanised southern region. Non-food expenditures suffered relatively more than food expenditures, likely a coping strategy, while the impact on consumption levels was greater for people working in the secondary and tertiary sectors than for workers in the primary sector, mainly agriculture. Stunting among under-5 children also suffered. Only a limited number of countries have actual, collected in-person, survey data that span across the initial phases of the Covid-19 pandemic. Thus, the present analysis adds value to our understanding of the welfare consequences of Covid-19 in a low-income context, where automatic social safety nets were not in place during the early phases of the pandemic. More specifically, it helps in assessing the results of previous welfare impact simulations, compared to real data. Even though our main findings are broadly in line with existing estimates based on simulations or phone surveys, important differences between the predictions and the actual results emerge. We conclude that it is critically important for Mozambique and its development partners to develop stronger and more targeted policies and tools to respond to temporary shocks.
Poverty alleviation is the basic requirement of human social development. However, there is still a lack of quantitative research on the poverty alleviation effect of regional, characteristic industries. Few studies have focused on the increase of micro individual income and used more advanced policy evaluation tools for comparative analysis based on a quasi-experimental perspective. In addition, the existing research ignores the critical question: can characteristic industries really achieve sustainable development goals while bringing poverty alleviation results? We studied regional, characteristic industries from a new perspective, taking into account the poverty alleviation effect and regional sustainable development. Based on the survey data of 901 households of representative village committees of Tanglang and Dache in Luquan Yi and Miao Autonomous County, this study quantitatively analyzed the poverty alleviation effect of the sorghum planting industry by using the Propensity Score Matching Difference-in-Differences (PSM-DID) model. The adoption of the industrial alleviation policy has significantly increased the per capita net income of rural households in Tanglang and Dache village committees, by 2171.64 CNY and 1945.06 CNY, respectively. The estimation results of the whole sample show that the effect of the policy to the per capita net income of households is 1726.87 CNY. The development of the sorghum planting poverty alleviation industry in Luquan County has promoted income increase of households significantly, creating economic, social and ecological sustainability, and can provide a reference for less-favoured areas.
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