Fiscal Incidence in Belarus: A Commitment to Equity Analysis

Bornukova, Kateryna; Shymanovich, Gleb; Chubrik, Alexander

doi:10.1596/1813-9450-8216

Cited by 8 publications

(20 citation statements)

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“…It resulted in inflation rates that were unprecedentedly low for Belarus ( Figure 6). Moreover, overall growth of consumer prices in Belarus in 2015-2017 was to a large extent determined by the increase in the state regulated utility tariffs -part of the policy aimed at increasing cost coverage by tariffs, which was implemented very gradually due to potential negative effects on vulnerable groups of the population (Bornukova, Chubrik, Shymanovich, 2017).…”

Section: Macro-economic Environmentmentioning

confidence: 99%

Poverty, Vulnerability, and Household Coping Strategies During the 2015–16 Recession in Belarus

Bornukova¹,

Cojocaru²,

Matytsin³

et al. 2019

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Macro-economic Environmentmentioning

confidence: 99%

Poverty, Vulnerability, and Household Coping Strategies During the 2015–16 Recession in Belarus

Bornukova¹,

Cojocaru²,

Matytsin³

et al. 2019

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“…In order to place the Moldova analysis in the international context, the results were compared to similar CEQ analysis in four peer countries of the same region and with similar tax-benefit system: Belarus (Bornukova et al, 2017), Romania (Inchauste et al, 2018), Russia (Popova et al, 2018) and Ukraine - (Bornukova et al, 2019).…”

Section: Cross-country Comparisonsmentioning

confidence: 99%

“…Note: The international poverty line: Belarus -10 USD/day in 2005 PPP, Moldova -5.5 USD/day in 2011 PPP, Romania -5.5 USD/day in 2011 PPP, Russia -4 USD/day in 2005 PPP, Ukraine -5.5 USD/day in 2011 PPP. Source: authors' calculations using HBS-2017 data for Moldova and respective CEQ analysis for other countries: Belarus - Bornukova et al, 2017;Romania -Inchauste et al, 2018;Russia -Popova et al, 2018, Ukraine -Bornukova et al, 2019 As in other countries, among the various fiscal interventions, pensions in Moldova are the main contributor to inequality reduction (Figure 13). Moreover, this effect is the highest among the five countries.…”

Section: Cross-country Comparisonsmentioning

confidence: 99%

“…Note: Some numbers on this chart are estimated using backward calculations from the original source and might be not fully precise. Source: authors' calculations using HLCS-2016 data for Ukraine and respective CEQ analysis for other countries: Belarus - Bornukova et al, 2017;Poland -Goraus and Inchauste, 2016;Russia -Popova et al, 2018. Note: Kakwani index is a measure of progressivity. The higher the value is the more progressive is the transfer.…”

Section: Cross-country Comparisonsmentioning

confidence: 99%

“…The higher the value is the more progressive is the transfer. Source: authors' calculations using HLCS-2016 data for Ukraine and respective CEQ analysis for other countries: Belarus - Bornukova et al, 2017;Poland -Goraus and Inchauste, 2016;Russia -Popova et al, 2018.…”

Section: Cross-country Comparisonsmentioning

confidence: 99%

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