feat(data): Extract Xu2021

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Marty Oehme 2023-12-13 14:39:37 +01:00
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3 changed files with 74 additions and 2 deletions

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@ -51890,7 +51890,7 @@ does NOT look at specific policy intervention}
usage-count-last-180-days = {8},
usage-count-since-2013 = {32},
web-of-science-categories = {Development Studies},
keywords = {inequality::income,region::SSA,relevant,TODO::full-text,type::trade\_liberalization},
keywords = {direction::vertical,done::extracted,indicator::Gini,inequality::income,region::SSA,relevant,type::FDI,type::trade\_liberalization},
file = {/home/marty/Zotero/storage/UKSZDWAX/Xu et al_2021_Trade openness, FDI, and income inequality.pdf}
}

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author: Xu, C., Han, M., Dossou, T. A. M., & Bekun, F. V.
year: 2021
title: "Trade openness, FDI, and income inequality: Evidence from Sub-Saharan Africa"
publisher: African Development Review
uri: https://doi.org/10.1111/1467-8268.12511
pubtype: article
discipline: development
country: Angola; Benin; Botswana; Burkina Faso; Burundi; CaboVerde; Cameroon; Central African Republic; Chad; Comoros; Congo; D.R. of the Congo; Ethiopia; Gabon; Ghana; Guinea; Guinea Bissau; Côte d'Ivoire; Kenya; Lesotho; Liberia; Madagascar; Malawi; Mali; Mauritania; Mozambique; Namibia; Niger; Nigeria; Rwanda; Senegal; Seychelles; Sierra Leone; South Africa; Tanzania; Togo; Uganda; Zambia
period: 2000-2015
maxlength:
targeting: implicit
group: workers
data: UNDP income equality; UN Conference on Trade and Veleopment FDI; World Bank WDI; World Bank World Governance Indicators
design: quasi-experimental
method: generalized method of moments
sample: 38
unit: country
representativeness: national
causal: 0 # 0 correlation / 1 causal
theory:
limitations: contains a variety of institutional-structural context within region
observation:
- intervention: FDI
institutional: 0
structural: 1
agency: 0
inequality: income
type: 0 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: Gini coeff
findings: increased income equality through FDI (p < .1)
channels: primarily goes to agriculture which can employ low-skilled labour
direction: -1 # -1 neg / 0 none / 1 pos
significance: 1 # 0 nsg / 1 msg / 2 sg
- intervention: trade liberalization
institutional: 0
structural: 1
agency: 0
inequality: income
type: 0 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: Gini coeff
findings: significantly decreased income equality through trade liberalization; equally for political stability, corruption, rule of law increase
channels: higher import than export, creating jobs in other countries
direction: 1 # -1 neg / 0 none / 1 pos
significance: 2 # 0 nsg / 1 msg / 2 sg
- intervention: education
institutional: 1
structural: 1
agency: 0
inequality: income
type: 0 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: Gini coeff
findings: education significantly decreases income equality in the region
channels: potentially inequal access to education through exclusion (e.g. spatial/gender/financial); differentiated quality of education
direction: 1 # -1 neg / 0 none / 1 pos
significance: 2 # 0 nsg / 1 msg / 2 sg
notes:
annotation: |
A study on the effects of trade liberalization and FDI on income inequality in 38 countries in the Sub-Saharan region.
It finds that increased FDI is negatively correlated with income inequality measured through the Gini coefficient, while trade liberalization is positively correlated with income inequality ---
as are corruption, political stability, rule of law and education, which contradicts a variety of previous studies.
The authors suggest this may be due to the difference in sample and variables used, and the periods under study.
They suggest that FDI may primarily go to the agricultural sector which can employ low-skilled labour and thereby reduce inequalities,
while trade openness in fact creates jobs in other countries through higher import than export rates.
They do not provide clear channels through which education positively correlates with inequality, though some possibilities are an unequal access to education (through excluding factors such as those based on spatial, gender or financial inequalities), as well as a differentiated quality of education.
Limitations of the study are the region-wide level of analysis which may obscure context-dependent mechanisms within the different institutional-structural contexts of the countries and potential hidden unobservables which may bias the results.

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@ -52396,7 +52396,7 @@ does NOT look at specific policy intervention}
usage-count-last-180-days = {8},
usage-count-since-2013 = {32},
web-of-science-categories = {Development Studies},
keywords = {inequality::income,region::SSA,relevant,TODO::full-text,type::trade\_liberalization},
keywords = {direction::vertical,done::extracted,indicator::Gini,inequality::income,region::SSA,relevant,type::FDI,type::trade\_liberalization},
file = {/home/marty/Zotero/storage/UKSZDWAX/Xu et al_2021_Trade openness, FDI, and income inequality.pdf}
}