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The economic effects of ethnic conflict in Sri Lanka are multifarious. A discussion of the economic effects of ethnic conflict could encompass the opportunity cost of the war (i.e., the foregone income due to the war at micro- and macro-levels), the economic impact of the military expenditures (on both sides of the war), financing mechanisms (both national and international) of the rebel movement, and the impact of economic sanctions on rebel territory. It should be noted that the economic effects of ethnic conflict in Sri Lanka is a relatively under-researched area (Arunatilake, Jayasuriya, & Kelegama, 2000; Goonetileke, 1998; Grobar & Gnanaselvam, 1993; Gunatilleke et al., 2001; Kelegama, 1999; O’Sullivan, 1994, 1997, 2001; Rankaduwa & Cooray, 1999; Ravano, 2001; Richardson & de Samarasinghe, 1991; Ross & Samaranayake, 1986; Seabright, 1986).

Responses to minimum income and minimum spending questions are used to produce economic well-being thresholds. Thresholds are estimated using a regression framework. Regression coefficients are based on U.S. Survey of Income and Program Participation (SIPP) data and then applied to U.S. Consumer Expenditure Survey (CE) data. Three different resource measures are compared to the estimated thresholds. The first resource measure is total before-tax money income, and the other two are expenditure based. The first of these two refers to expenditure outlays and the second to outlays adjusted for the value of the service flow of owner-occupied housing (rental equivalence). The income comparison is based on SIPP data while the outlays comparisons are based on CE data. Results using official poverty thresholds are shown for comparison. This is among the earliest work in the U.S. in which expenditure outlays have been used for economic well-being determinations in combination with personal assessments, and the first time rental equivalence has been used in such an exercise. Comparisons of expenditures for various bundles of commodities are compared to the CE derived thresholds to provide insight concerning what might be considered minimum or basic.

Results reveal that CE and SIPP MIQ thresholds are higher than MSQ thresholds, and resulting poverty rates are also higher with the MIQ. CE-based MSQ thresholds are not statistically different from average expenditure outlays for food, apparel, and shelter and utilities for primary residences. When reported rental equivalences for primary residences that are owner occupied are substituted for out-of-pocket shelter expenditures, single elderly are less likely to be as badly off as they would be with a strict outlays approach in defining resources.

This chapter provides an assessment of the sustainability of Ireland's health care system. It starts by describing the historical development of the Irish system and identifying key features of the current system that raise potential challenges for sustainability. It then provides an analysis of recently compiled and up-to-date data on trends in health care expenditures. A number of specific demand and supply side challenges to sustainability are then described and discussed. This is followed by an examination of recent and current reforms to the health care system, focussing on their likely impact on sustainability, as well as a discussion of how health economics has and can inform policy, practice and debate. We also discuss the potential implications of the COVID-19 pandemic for the Irish system.

The substantial resources devoted to warfare in modern times might explain the increasing relevance that military spending has acquired in social sciences. In this regard, the so-called defence economics has extensively studied the main determinants of military spending and its main consequences in terms of economic performance and institutional transformations. However, one of the main problems for comparative analysis on the causes and effects of military spending is the lack of long-term homogeneous and comparable data in international panel datasets. This paper contributes to fill in this gap by providing new military spending data on Spain from 1850 to 2009 based on NATO methodological criterion. It provides total military spending estimates as well as economic and administrative disaggregated figures for most of the period. These data allow reliable international comparisons while also providing new quantitative evidence to better understand the military history of Spain in modern times.

Bonus depreciation was enacted by the United States Congress and signed into law in 2002 largely in response to the economic malaise that engulfed the U.S. economy after the September 11, 2001 terrorist attacks. We investigate whether bonus depreciation, a capital asset expensing allowance under the U.S. federal income tax code, impacts the level of business investment in property, plant, and equipment in the time periods that followed 9-11 in comparison to other earlier time periods. Based on the empirical evidence, the bonus depreciation policy has a positive effect on capital expenditures only in the period in which this policy was legislatively anticipated, specifically the period spanning the last quarter of 2001 and the first quarter of 2002. Otherwise, we find no significant increase in capital expenditures during the period that this special depreciation provision policy is initially in place from 2002 to 2005. Although bonus depreciation is re-enacted in response to the fiscal distress and recession that began in 2007, capital expenditures actually decline during the recovery era, a period following the post-2008 subprime mortgage crisis. Though Congress continues to temporarily re-enact bonus depreciation on an annual basis through December 31, 2014, there is no strong evidence that capital investment is positively impacted. Instead, the empirical results show that factors that positively affect the level of companies’ capital expenditures include capital intensity, cost of capital, amount of cash holdings, changes in sales and loans. Our empirical results invite the question of Congress’ intended goal in re-instating bonus depreciation for 2015 through 2019.

We assessed the differential effects of social expenditures on males and females by establishing the impact of public expenditures on education and health on gender parity in primary and secondary enrollment and on gender parity in life expectancy for Nigeria given age dependency ratio, annual population growth rate, and GDP per capita growth rate. We found that increased social spending on health and education increased female education enrollment which was hitherto lower than male enrollment. Again, increased social expenditure on health and education improved male life expectancy which was hitherto lower than female life expectancy. We established the importance of increased social expenditure on health and education; gender budgeting and gender-sensitive budgets; and implementation of inclusive growth policies in engendering gender parity in Nigeria.

This chapter attempts to study the long-term determinants of public and private healthcare expenditure in Hong Kong, by employing time series data over the period from 1990 to 2017. We find that income is not a determinant of either public or private spending per capita on healthcare services. Rather, a higher proportion of elderly will raise public expenditure on health and private spending even more. The share of children within the population will conversely decrease both public and private spending. Results also show that the rising density of doctors decreases both public and private per capita healthcare spending, showing that the supplier-induced demand problem is not an issue in Hong Kong.