Globalization and Institutional Quality—A Panel Data Analysis

Bergh, Andreas; Mirkina, Irina; Nilsson, Thérèse

doi:10.1080/13600818.2014.884555

Cited by 31 publications

(17 citation statements)

References 55 publications

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“…Previous studies have investigated whether a positive association between openness and health may be driven by the correlation with a third associated factor, for example political openness (Tsai, 2007) or overseas development assistance (Welander, 2012). Studies found evidence that the association is complex on closer inspection (Peneva & Ram, 2012), either because it is positive only for high-income but not low-income countries (Bergh et al, 2014), or positive only for LEB of men but not women (Bussmann, 2009). Trade openness facilitates spread of infectious diseases, for example Oster (Oster, 2012) found that a doubling of exports leads to approximately a quadrupling of new HIV infections.…”

Section: All Other Trade Indicators Are Not Robust the Indicators Mamentioning

confidence: 99%

Priorities for action on the social determinants of health: Empirical evidence on the strongest associations with life expectancy in 54 low-income countries, 1990–2012

Hauck

Martin

Smith

2016

Social Science & Medicine

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The WHO Commission on the Social Determinants of Health set out an impressive collection of policy proposals on the social determinants of health. However, a serious weakness for securing implementation is the difficulty for policymakers in identifying priorities for action. The objective of this study is to determine a small set of the most influential determinants using existing data and an empirical approach. 45 Indicators from the World Bank's World Development Indicators are selected to measure attainment for the determinants proposed by the Commission. Panel data models of life expectancy at birth for 54 low-income countries over the years 1990 to 2012 are estimated. Each determinant is subjected to a robustness test using Extreme Bound Analysis, to determine the stability of its estimated impact on life expectancy. For 20 robust and significant determinants the magnitude of association with life expectancy is determined. The largest average increases in life expectancy at 14.5 months per capita is associated with a one standard deviation reduction in HIV prevalence among children, followed by advances in gender equality at 9.4 months. Improvements in life expectancy between 6 and 9 months are associated with agricultural production, political stability, access to clean water and sanitation, good governance, and primary school enrolment. Improvements below 6 months are associated with increases in private health expenditure and overseas development assistance, and control of armed conflict and HIV prevalence among men. There is no evidence that national income, public spending on healthcare and education, secondary schooling, terms of international trade, employment, debt service and relief, out-of-pocket expenditures, agricultural ex-or imports, lifestock production, foreign investment, urbanization or environmental degradation are robustly associated with population health. Results provide support for the relevance of some proposed policies. The findings can inform priorities for future research and policy action on the social determinants of health.

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Section: All Other Trade Indicators Are Not Robust the Indicators Mamentioning

confidence: 99%

Priorities for action on the social determinants of health: Empirical evidence on the strongest associations with life expectancy in 54 low-income countries, 1990–2012

Hauck

Martin

Smith

2016

Social Science & Medicine

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“…To be sure, overall globalisation may not be correlated with/influence an outcome variable because components of the KOF indices have opposite effects (Bergh et al., ). Experts thus disentangle effects of the components of the KOF indices.…”

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confidence: 99%

The Evidence on Globalisation

Potrafke¹

2014

World Economy

354

222

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Globalisation is blamed for many socioeconomic shortcomings. I discuss the consequences of globalisation by surveying the empirical globalisation literature. My focus is on the KOF indices of globalisation that have been used in more than 100 studies. Early studies using the KOF index reported correlations between globalisation and several outcome variables. Studies published more recently identify causal effects. The evidence shows that globalisation has spurred economic growth, promoted gender equality and improved human rights. Moreover, globalisation did not erode welfare state activities, did not have any significant effect on labour market interaction and hardly influenced market deregulation. It increased, however, within‐country income inequality. The consequences of globalisation thus turn out to be overall much more favourable than often conjectured in the public discourse.

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“…Closely related to our paper, Sobel and Leeson () examine the relationship between economic freedom in one country and that of its geographic neighbors. Also closely related to our paper, Bergh, Mirkina, and Nilsson () study a sample of 100 countries over a comparable time period (1992–2010) and link measures of globalization (the KOF indices; see Dreher ) to levels of the World Governance Indicators (WGIs) from the World Bank. In particular, Bergh, Mirkina, and Nilsson report results specific to the KOF social globalization measure, of which Internet use is one sub‐component component .…”

Section: Introductionmentioning

confidence: 92%

“…Bergh et al (), alternatively, condition the effect on a country's natural resource GDP share for a subsample of poor economies. They report that, for poor economies, the effect of social globalization on institutional quality is only positive when the natural resource share is small.…”

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confidence: 99%

It's a Small World After All: Internet Access and Institutional Quality

Sheehan

Young

2014

Contemporary Economic Policy

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Using a panel of up to 114 countries covering the years 1990 through 2010, we estimate the effect of Internet use on changes in countries' Economic Freedom of the World (EFW) scores. The point estimates suggest that the marginal effect is generally positive. However, starting from above-average EFW scores (>7.7 out of 10; examples in 2010 include the UK, Switzerland, and Hong Kong) the marginal effect turns negative. Taking this interaction into account, the marginal effect is positive and statistically significant for countries starting at initial EFW scores of around 6 or less. Examples of countries with 2010 EFW scores near this threshold include China, Nigeria, and Pakistan. We discuss mechanisms that potentially generate this conditional relationship between Internet use and institutional change. (JEL O10, O43, P48)

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Globalization and Institutional Quality—A Panel Data Analysis

Cited by 31 publications

References 55 publications

Priorities for action on the social determinants of health: Empirical evidence on the strongest associations with life expectancy in 54 low-income countries, 1990–2012

Priorities for action on the social determinants of health: Empirical evidence on the strongest associations with life expectancy in 54 low-income countries, 1990–2012

The Evidence on Globalisation

It's a Small World After All: Internet Access and Institutional Quality

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