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Nowadays it is — to a certain extent — popular to criticize international tourism to third world countries. These criticisms may base on widely divergent aspects of the phenomenon, ranging from for instance the economic impact to the environmental impact or the psychological impact. Without implicitly suggesting that the non‐economic effects of international tourism in developing countries are unimportant we will concentrate in the following on the economic impact. The reason for this is twofold:

Past research has identified a negative association between national income and female entrepreneurship rates. Data from Global Entrepreneurship Monitor (GEM) 2012 are analyzed to determine whether the Human Development Index (HDI) predicts female entrepreneurship rates. The purpose of this paper is to indicate how other socioeconomic variables that measure human development interact with national income to predict female entrepreneurship rates.

Data were drawn from the 2012 GEM data set, which provides information on female entrepreneurship rates in 61 countries. To test relevant hypotheses, dependent and socio-demographic variables were sourced from international databases to perform quantitative cross-country regression analyses.

National income significantly predicted female entrepreneurship rates in the univariate analysis. However, this relationship became non-significant when development indices were added to the model. In contrast, the HDI, the Gender Inequality Index, and national religious composition were robust, significant predictors.

This study presents evidence that human and gender development indices, and national religious composition, are better predictors of female entrepreneurship rates than national income. Thus, studies on female entrepreneurship rates should account and adjust for human development and gender equality indices. As religiosity continues to be pervasive within multiple nations, policymakers should consider this when developing interventions geared toward promoting female entrepreneurship.

This paper identifies factors other than economic determinism to explain variance in female entrepreneurship rates and demonstrates that human development and gender inequality indices are better predictors of female entrepreneurship rates.

This paper aims to examine the impact of the components of human capital on the extent of poverty and income distribution in developing countries.

Data for all variables are from the World Development Report, 2006 and 2007. The least‐squares estimation technique in a multivariate linear regression is applied. It is noted that the introduction of interaction terms between income and the components of human capital yields better statistical results, as pointed out in the economic development literature.

Based on data from the World Bank and using a sample of 40 developing economies, it is found that the fraction of the population below the poverty line is linearly dependent upon gender parity ratio in primary and secondary schools, the prevalence of child malnutrition, per capita purchasing power parity gross national income, the maternal mortality rate, and the percentage of births attended by skilled health staff. Using another sample of 35 developing countries, it is found that income inequality linearly depends on the same explanatory variables plus the infant mortality rate and the primary school completion rate.

Statistical results of such empirical examination will assist governments in those countries identify areas that need to be improved upon in order to alleviate poverty and improve the distribution of income.

This paper provides useful information on the impact of the components of human capital on the extent of poverty and income distribution in developing countries.

This study aims to examine the association between national economic prosperity (measured by per capita gross national income – GNI) and the acquisition of football workers (indicated by number of amateur footballers, football officials and professional footballers) and predict football performances (specified by qualifications at continental football championships) based on per capita GNI and football workers.

Archival data of 203 national football teams were utilized based on continental football championship records before 2014. Binary logistic regression analysis was used to build various models to ascertain their predictive values. Economically prosperous nations are those with a per capita GNI of more than US$10,000, and unprosperous nations are those with per capita GNI of less than US$10,000.

The analysis indicated that per capita GNI was significantly and positively associated with the acquisition of football workers – but not predictive of football performance. Rather football officials and professionals emerged to be the key predictors of football performance and not per capita GNI. The final model predicted 73.1 and 74.2 per cent of performance and non-performance, respectively, of national football teams correctly.

The findings were largely restricted to quantitative archival data for the last continental championships. However, future research may benefit from using qualitative interviews, questionnaires and or ethnographic studies of players, teams and or managers.

The results revealed that economic prosperity positively influences the acquisition of football resources (here – in football workers). Specifically, targeted production of football workers, such as the acquisition of a large number of effective professional footballers and officials, can boost football performance – and not merely economic prosperity.

Actual football-specific human capital (and not general population) was used in predicting continental football qualifications – a factor uncommon in such studies.

The Government of Namibia has traditionally used fiscal (especially tax) policy as an instrument for annual budget formulation. Marginal tax rates for profits and various income brackets have been changed back and forth in response to changes in economic conditions. However, to date, no attempt has been made to evaluate the effectiveness of these reforms in achieving the broad national economic goals, in general, and the potential effects on government revenue in the short, medium and long-run periods, in particular. The purpose of this paper is to fill this information gap by analysing the implication of the 2008 zero-rating of value added tax (VAT) on basic commodities for aggregate demand and government revenue.

The study uses an analytical framework based on economic theory which posits that in an open economy, which trades with the rest of the world, aggregate demand for goods and services is made up of consumption demand, investment demand, government demand and net exports and that real sector equilibrium is attained when aggregate supply of goods and services is equal to aggregate demand for goods and services.

Using the Namibia Household Income and Expenditure Survey results, the annual loss in government revenue attributable to this policy is, ceteris paribus, estimated to be N$310.4 million. With a marginal propensity to consume out of disposable income of 0.89, total expenditure by households on goods and services is likely to increase by N$276.3 million per annum. In the medium-to-long-run, national income will have increased by N$303.9 million per annum. Taxes which are responsive to changes in the level of national income will have increased by N$85.7 million, compensating for just over one quarter of the estimated loss in government revenue of N$310.4 million.

The study has used a partial equilibrium model as opposed to computable general equilibrium model, which provides a consistent framework that meets most of the sectoral and institutional data requirements for the simple reason that a social accounting matrix which can be used readily to connect data from different sources, such as national accounts and household surveys and would thus have been ideal model for analysing the impacts of the VAT tax reform has not been developed for Namibia.

The paper provides a number of practical policy options available for government including, but not limited to, increasing direct taxes, VAT rate on specific (luxury) goods and services and statutory VAT rate on all other commodities not zero-rated, other taxes such as taxes; and borrowing from external sources.

It is established that zero-rating VAT on all the basic commodities in 2008 reduces the VAT paid by all Namibian households by N$310.4 million per year, which represents the annual increase in the disposable income of all households. And with a marginal propensity to consume out of disposable income of 0.89, total expenditure by households on goods and services will increase by N$276.3 million per year.

This paper presents the first attempt at evaluating the effectiveness of tax (VAT) policy reforms in Namibia in achieving the broad national economic goals, in general, and the potential effects on government revenue in the short, medium and long-run periods, in particular.

The purpose of this paper is to estimate the determinants of rural and national poverty, of income distribution, and of agricultural growth in developing countries.

Data for all variables are from the 2008 World Development Report. The author applies the least‐squares estimation technique in a multivariate linear regression.

It is found, from different size samples, that: the percentage of the rural population living below the national rural poverty line in a developing country is dependent upon the logarithm of per capita purchasing power parity gross national income and the region in which it is located; it linearly depends on its per capita agriculture value added and its geographic location; agriculture value added growth linearly depends on the share of women in the agricultural labor force, whether the developing country is agriculture‐based, and whether it is located in Europe or Central Asia; and agricultural productivity linearly depends on the amount of arable and permanent cropland per agricultural person, the share of women in the agricultural labor force, and the share of agricultural employment in total employment.

Statistical results in this paper will assist governments in developing countries assess the magnitude of agricultural policy variables in an effort to use agriculture as an engine for economic development.

The aim of this paper is to analyze and compare the performance of the construction sector in Turkey and selected European Union (EU) countries using input‐output (IO) tables for the years 1998 and 2002.

IO tables are used to analyze and compare the construction sector. First the input‐output analysis and the construction sector are briefly introduced. Then, the data and methodology are specified. A set of indicators obtained from the data is used for the comparative analysis.

The construction sector of the selected 13 countries is examined in terms of Gross National Product (GNP) and National Income (NI) shares; direct and total construction backward and forward linkage indicators and direct and total construction inputs from manufacturing and services reflecting the technologies used in construction. The key findings are pointed out in the conclusion.

The lack of data from Turkey relating to recent years and incompatibility of new and old data limit this study's scope to the two years.

The concept of using IO analysis for comparing the construction sector has been around for a considerable period of time. This paper has an importance for comparing the construction sector in Turkey and some selected EU countries, being the first study in that field in Turkey, and is therefore of direct importance for the Turkish construction sector.

The purpose of this paper is to examine the historical origins of the international goal for rich countries to devote 0.7 per cent of gross national income (GNI) to aid, in order to assess its present relevance.

The paper reviews all the original documents, interviews decision makers of that era, and uses their same essential method to estimate a new goal with today's data.

First, the target was calculated using a model which, applied to today's data, yields ludicrous results. Second, no government ever agreed in a UN forum to actually reach 0.7 per cent – though many pledged to move toward it. Third, ODA/GNI per se does not constitute a meaningful metric for the adequacy of aid flows.

Any further work on aid targets must be based on a country‐by‐country assessment of realistic funding opportunities.

The 0.7 per cent goal has no modern academic basis, has failed as a lobbying tool, and should be abandoned.

Anyone who studies or works on the ways that rich countries can assist the development process must confront the 0.7 per cent goal sooner or later. The paper shows for the first time that it arose from an economic model with no modern credibility, and that – contrary to conventional wisdom – none of the UN documents contains a promise to meet the goal.

The existence of the regional Kuznets curve, i.e. an inverted U-shaped relationship between regional disparity and economic development is widely debated and discussed. The bell-shaped curve of the spatial growth process where during the initial phase inequality increases and then reduces is theoretically supported by Myrdal (1957), Hirschman (1958), and Williamson (1965). It becomes important to understand regional Kuznets curve globally. Understanding the relationship between regional disparity and economic development becomes essential for public policy for balanced regional growth.

Regional Kuznets Curve which is an inverted U-shaped relationship between regional disparity and economic development is not a new phenomenon. Theoretical framework by Myrdal (1957), Hirschman (1958), and Williamson (1965) support the an inverted U-shaped relationship. To understand the relationship between regional disparity and economic development, the authors investigate the regional Kuznets curve by using data for 184 countries and 1765 subnational regions. Using parametric, semi-parametric, and non-parametric, it is found that there exists an inverted U-shaped relationship between regional disparity and economic development. The presence of the regional Kuznets curve is observed. As the theoretical framework suggests, regional inequality increases with income initially and decreases after attaining a certain level of income. This study identifies two stages of divergence-convergence where in the first stage, divergence across regions in a country happens with increasing income and in the later stage, convergence across regions in a country occurs with increasing income.

Using the parametric approach (panel data analysis), semi-parametric and non-parametric approaches, it is found that there exists a regional Kuznets curve. It is found that there exists an inverted-U relationship between regional inequality and per capita GNI. This suggests that the divergence-convergence passes through two stages. In the first stage, divergence across regions in a country happens with increasing income while in the later stage convergence occurs.

This research work has done three important things which fill the research gap that exists in the literature: (1) constructing the Gini coefficient to measure the regional inequality for 184 countries using 1765 subnational regional data; (2) using a parametric approach (panel data analysis) to understand the regional Kuznets phenomenon and (3) using a semi-parametric approach and non-parametric approach to understand the regional Kuznets phenomenon.

The study explores the relationship among economic growth, population growth, gross savings and energy consumption over the period 1987– 2017.

The autoregressive distributed lag (ARDL) bounds test approach by Pesaran et al. (2001) was employed to investigate variables for the study.

In the key findings, both gross savings and population growth negatively affect economic growth. However, energy consumption has positive impact on economic growth.

These findings call for policy portfolios to address the impacts of gross savings and population growth on economic development. In particular, the financial sector needs to be revamped to be more efficient in channeling funds from the surplus units to the deficit units. It is recommended that investment be made in financial and technological innovation to provide efficient access to credits and other financial products even though individual savings may not move with economic growth.

Many studies have explored the nexus between savings and economic growth without considering population growth and energy consumption. In this study, the relationship among savings, economic growth, population growth and energy consumption provide additional knowledge in policy formulation.