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We show that, even with flexible domestic wages, international outsourcing may worsen the welfare of the home country and reduce the profits of all firms. If wages are rigid, outsourcing is welfare-improving if and only if the sum of the “trade creation” effect and the “exploitation effect” exceeds the “trade diversion” effect. A wage subsidy may improve welfare. We also extend the model to a two-period framework. Delaying outsourcing can be gainful because the fixed cost of outsourcing may fall over time. A social planner would choose a different speed of outsourcing than that achieved under laissez-faire.

Purpose – This paper examines the interaction of efficiency and bank risk taking in the Ghanaian banking industry.

Design/methodology/approach – We relate risk taking to price competitiveness, foreign ownership and cost efficiency and other control variables. Cost-inefficiency scores from a stochastic frontier model are used, and a Lerner price index is employed to proxy for market power.

Findings – Our results suggest that market power affects risk taking when conditioned on foreign ownership, but foreign bank risk-taking behaviour is not statistically different from local banks. Cost inefficiency diminishes bank soundness. We also find that industry concentration discourages greater risk taking.

Originality/value – Our study extends the views on risk taking and competition among banks in Ghana, which throws more light from an emerging economy perspective.

This chapter offers an empirical examination of the impact of World Governance indicators (WGIs) on stock market development. The understanding is based on the premise of institutional economics that strong institutional governance, in terms of laws and regulations, results in positive developments in financial institutions.

The data which covers the years 1996–2016, include all world countries where a stock market operates. The authors use standard statistical tools that include Johansen co-integration test, linearity, normality tests, and regression analysis, together with discriminant analysis as a robustness check.

The empirical findings show that (a) a negative association exists between Voice and Accountability and stock market development, (b) a positive association exists between each of Political Stability, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption, and stock market development for most World’s regions stock markets, (c) both Voice and Accountability and Political Stability indicators are the major influential indicators for the stock market development across world stock markets.

This chapter offers quantitative evidence about the benefits of strong institutional governance to stock market development. In addition, the chapter offers significant guidelines to policymakers regarding the institutional factors that can be enhanced to promote stock market development.

Using recent panel data on U.S. and Japanese firms and time-series, cross-sectional analysis, this study documents that in both countries controlling for the investment opportunity set, investments are significantly positively influenced by internal cash flows. This relationship strengthens with the degree of constraints faced in Japan but not in the U.S. Our findings indicate that firms in both countries operate in financially imperfect markets using a pecking order in financing. As expected for Japanese companies, investment by Keiretsu member companies was significantly less influenced by cash flow and more influenced by the investment opportunity set compared to investment by non-member companies.

This paper deals with poverty decompositions into subgroups defined with respect to intervals of income and the robustness of comparisons of the absolute contribution of such groups to poverty. For instance, world poverty estimates by the World Bank often distinguish between the extreme poor whose incomes are lower than $1.25 a day (in PPP terms) and the other poor with incomes between $1.25 and $2.5 a day. Existing dominance conditions can tell whether overall poverty and extreme poverty have declined in a robust manner when comparing countries at two points of time, but they cannot say anything for the contribution of the non-extreme poor to overall poverty. In the present paper we propose stochastic generalized dominance criteria to perform robust poverty ordering when the focus is placed on some interval of the poverty domain. Using generated data based on grouped data from World Bank’s PovcalNet tool, the paper finally investigates whether the robust decline of extreme poverty around the world during the last decades was also accompanied by a decline of the contribution of non-extreme poverty.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

Various indicators of income inequality and social welfare can be obtained simply by using the Gini index and the mean income of the population. This paper reviews existing indicators and presents several new indicators of this kind. While contemporary researchers seem to be preoccupied with relative inequality, this paper advocates for using intermediate inequality views and supplementing inequality rankings of countries with rankings based on social welfare. Empirical analysis, performed for 36 European countries, demonstrates such an approach’s advantages.