Evaluation of measures to combat poverty on the basis of multi-country global hybrid econometric model

A review of model-based scenario analysis of poverty for informing sustainability

“…The most commonly used indicator was poverty rate, defined as the ratio of the number of people living below a given poverty line to the overall population. The ratio of people living below the poverty line has been calculated by income distribution (Cuaresma et al, 2018), household income (Lázár et al, 2020), household consumption (Ahmed et al, 2018), and growth of gross domestic product (GDP) (Ashimov et al, 2019;Ndhleve et al, 2017). Some models estimated poverty rates based on labor productivity and education levels (Cristea et al, 2020) or ecological factors such as topography, rainfall, and desertification (Zhou et al, 2020).…”

“…On the other hand, linkages between poverty and natural resource degradation (Daregot et al, 2015) and the vulnerability of households to climatic disasters (Taupo et al, 2018) were identified. In addition to relationship analysis, two global multi-country econometric models were utilized for ex-ante analysis, one of which only predicted the consequences of various economic measures to fight poverty until 2020 (Ashimov et al, 2019), and the other evaluated absolute poverty changes at the global level under different shared socioeconomic pathways to 2030 (Cuaresma et al, 2018). Static and dynamic econometric models introduced panel data (a set of survey data that occur at the same time) and time-series historical data, respectively, as sample data to estimate model parameters for poverty analysis.…”

A review of model-based scenario analysis of poverty for informing sustainability

“…The most commonly used indicator is the poverty rate, which is defined as the ratio of the number of people living below a given poverty line to the overall population. The ratio of people living below the poverty line has been calculated by income distribution (Cuaresma et al, 2018), household income (Lázár et al, 2020), household consumption (Ahmed et al, 2018), and growth of gross domestic product (GDP) (Ashimov et al, 2019;Ndhleve et al, 2017). Some models estimated poverty rates based on labor productivities and education levels (Cristea et al, 2020) or ecological factors such as topography, rainfall, and desertification (Zhou et al, 2020).…”

“…On the other hand, linkages between poverty and natural resource degradation (Daregot et al, 2015) and the vulnerability of households to climatic disasters (Taupo et al, 2018) were identified. In addition to relationship analysis, two global multi-country econometric models were utilized for ex-ante analysis, one of which only predicted the consequences of various economic measures to fight poverty until 2020 (Ashimov et al, 2019), and the other evaluated absolute poverty changes at the global level under different shared socioeconomic pathways until 2030 (Cuaresma et al, 2018).…”