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Using data from 104 countries over a six-year period (2009-2014), this study proposes a value-added predictor in service industries based on the eight indicators of the prosperity index, namely economy, entrepreneurship and opportunity, governance, education, health, safety and security, personal freedom and social capital.

The fuzzy-set qualitative comparative analysis (fsQCA) and complexity theory, a relatively novel approach for developing and testing the conceptual model, are used for asymmetric modelling of value added in service industries, and the predictive validity of proposed configural model is tested.

Apart from advancing method and theory, this study simulates causal conditions (i.e. recipes) leading to both high and low scores of the value added of services. The configural conditions indicating a high/low level of value added in service industries can be used as a guiding strategy for marketers, investors and policy makers.

An analysis of worldwide data provides complex models demonstrating both how to regulate country conditions to achieve a high value-added score and select a foreign country for investment that offers a high level of value-added service.

This study empirically examines the moderating role of geopolitical risk on the tourism–economic growth nexus by applying a recent geopolitical risk indicator developed by Caldara and Iacoviello (2022) in a cross-country panel data growth model context for a sample of 24 countries.

A Dummy Variable Least Squares panel data model, nonparametric covariance matrix estimator and SYS-GMM estimation techniques are employed for the analysis. The authors capture the GPR moderating effect by disaggregating the cross-country sample according to low versus high country GPR score and through a GPR interaction coefficient. Several controls are included in the models such as gross fixed capital formation and—consistent with Barro (1990)—government consumption. Trade openness is used to account for the export-led growth effect. In line with neoclassical growth theory (e.g. Barro, 1991), the authors also include the real interest rate, to account for policy makers' commitment to macroeconomic stability, financial depth, as a proxy for financial development, population growth and the level of secondary school education. The authors also control for unobserved country-specific and time-invariant effects.

The research finds that the interaction term of geopolitical risk significantly contributes to the predictive ability of the regression and provides empirical evidence that confirms that only in low geopolitical risk countries international tourism positively and significantly contributes to economic growth. Important theoretical and policy implications flow from these findings.

The study not only contributes to advancing academic knowledge on the tourism–growth nexus, it also has impact beyond academia. Many countries have in the past pursued and many continue to pursue, tourism specialization and/or tourism-led growth strategies based on the theoretically well-established and empirically validated positive link between inbound tourism and economic growth. The findings alert policy makers in such countries to the significant moderating role that geopolitical risk plays in affecting the above-mentioned relationship and to the importance of prioritizing geopolitical stability as a policy precursor for the successful implementation of such strategies.

According to previous international studies, the impact of external regulation on bank risk is ambiguous. The purpose of this paper is to ask the question, “When do regulations matter for bank risk-taking?” by reporting the first empirical investigation of how the relation between bank regulations (capital requirements, official supervisory power and market discipline) and bank risk-taking is moderated by board monitoring characteristics.

Using SYS-GMM, the analysis of the interaction between bank-level boards of directors’ attributes (board size, board independence and board gender diversity) and external regulation is based on a sample of 493 banks operating in 54 countries over 2001-2015, accounting for three measures of bank risk-taking.

Regulations matter for bank risk-taking conditional on board characteristics: board size, board independence and board diversity. With the exception of capital requirements, the market discipline exerted by external private monitoring and greater supervisory power are unable to mitigate the propensity to greater risk-taking by banks resulting from larger board size, higher board independence and greater gender diversity of the board.

The bank risk empirical literature is still silent as to the interaction between board governance and regulation for the purpose of examining banks’ risk-taking. This paper fills this gap, thus making a significant contribution by extending our knowledge of whether and how board governance moderates the relationship between external regulation and bank risk-taking.

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) in producer services in China using both country aggregate and provincial sub-sectoral data.

This paper applies autoregressive distributed lag (ARDL) cointegration and panel data regression approaches in examining the determinants of Producer Service FDI (PSFDI).

Our results show differences between the determinants of aggregate FDI and PSFDI. Contrary to the typical influencing factors of general FDI (that include GDP, openness, low wages and environmental quality), the two main determinants of PSFDI inflows to China are found to be high wages and research inputs (specifically the number of research workers as a proxy for research intensity). Data drawn from 26 Chinese provinces disaggregated at sub-sector level of producer services corroborate the results.

We add to existing literature by identifying the key determinants of inward PSFDI in China also via a provincial-level data analysis and disaggregation at sub-sectoral level of producer services.

The purpose of this paper is to examine the foreign direct investment (FDI)–exports relationship in Nigeria using disaggregated FDI and export data.

This paper applies the autoregressive distributed lag cointegration approach in examining the long-run relationship between FDI and exports.

The results suggest that aggregate FDI has a positive and statistically significant long-run impact on total exports. Once exports are disaggregated into oil and non-oil exports, the positive, cointegrating relationship holds only for oil exports. When disaggregated by sector, primary sector and manufacturing sector FDI have a positive and significant long-run relationship with both total exports and oil exports but service sector FDI does not appear to have any significant influence on Nigerian exports.

This is the first paper that employs both sectoral FDI and disaggregated export data to examine the FDI–exports nexus in Nigeria.

Despite decades of research, the relationship between intellectual property rights (IPRs) and foreign direct investment (FDI) remains ambiguous. Using a recently developed patent enforcement index (along with a broader IPR index) and a large sectoral country-to-country FDI dataset, the authors revisit the FDI-IPR relationship by testing the impact of IPRs on UK and US outward FDI (OFDI) flows as well as earnings from outward FDI (EOFDI).

The authors use disaggregated data for up to 9 distinct sectors of economic activity from both the US and UK for OFDI flows and EOFDI, for a panel of up to 42 developed and developing countries over sample periods from 1998 to 2015. The authors employ a panel fixed effects (FE) approach that allows exploiting the longitudinal properties of the data using Driscoll and Kraay's (1998) nonparametric covariance matrix estimator.

The authors do not find any consistent evidence in support of the hypothesis that countries' strength of IPR protection or enforcement affects inward FDI, or that sector of investment matters. The results prove robust to sensitivity checks that include an alternative broader measure of IPR strength, analyses across sub-samples disaggregated according to the strength of countries' IPRs as well as developing vs developed economies and an extended specification accounting for dynamic effects of the response of FDI to both previous investment levels and IPR (patent) protection.

The authors make use of the largest most granular sectoral country-to-country FDI dataset employed to date in the analysis of the FDI-IPR nexus with disaggregated data for OFDI and EOFDI across up to 9 distinct sectors of economic activity from both the US and UK The authors employ a more sophisticated measure of IPR strength, the patent index proposed by Papageorgiadis et al. (2014), which places emphasis on the effectiveness of enforcement practices as perceived by managers, together with the overall administrative effectiveness and efficiency of the national patent system.

The purpose of this paper is to investigate the impact of a menu of country‐pair exchange rate regime combinations upon bilateral foreign direct investment (FDI) flows.

The authors use panel data from 27 OECD and non‐OECD high income countries for the period 1980 to 2003. Instrumental variable estimation of a dynamic panel model within a system generalised methods of moments framework allows us to control for both potential correlation issues and endogeneity bias.

This paper finds that a currency union is the policy framework most conducive to cross‐border investment. Being a member of EMU also appears to spur greater FDI flows with countries floating their currency vis‐à‐vis the default regime of a double‐float. Country‐pair regime combinations involving one country fixing its currency and the other floating or being a member of EMU, are found not to be more pro‐FDI than the default regime combination. For country‐pairs fixing or pegging their currency to each other, the effect on bilateral FDI flows is the least consistent across alternative specifications and, hence, the most ambiguous.

The contribution is also distinguished by the comparative use of recently developed “natural” or de facto exchange rate regime classification schemes, in addition to the de jure classification published by the IMF.

The purpose of this paper is to investigate the sensitivity of firm value to exchange rate (ER) movements, and the determinants of such exposure for 100 European blue chip companies over 2001-2012.

The authors adopt a disaggregated framework that distinguishes between Eurozone and non-Eurozone firms, and between financial and non-financial firms across the pre-crisis, crisis and post-crisis periods of the recent financial crisis.

The authors find no significant difference between Eurozone and non-Eurozone, and financial and non-financial firms. Exposure is found to be higher during the financial crisis, across all sub-samples of firms. In the majority of cases the exposure coefficient is significantly positive, indicating that European firms’ stock returns are positively (negatively) affected by depreciation (appreciation) of ERs (indirect quotation).

It is recommended that firms’ financial plans budget for higher liquidity levels in order to build up, during “good times”, a natural hedge for the higher exposure likely to be faced during periods characterized by greater financial distress.

The main novelty lies in the adoption of a disaggregated framework that discriminates between pre-crisis, crisis and post-crisis periods in order to ascertain the extent to which the recent financial crisis affected the relationship in question.

The aim of the study is to investigate the relative significance of the determinants of disaggregated capital flows (foreign direct investment and portfolio flows) to five developing countries, across different time horizons.

An empirically tractable structural VAR model of the determinants of capital flows is developed, and variance decomposition and impulse response analyses are used to investigate the temporal dynamic effects of shocks to push and pull factors on foreign direct investment and portfolio flows.

Estimation of the model using quarterly data for the period 1976‐2001 provides evidence supporting the hypothesis that shocks to real variables of economic activity such as foreign output and domestic productivity are the most important forces explaining the variations in capital flows to developing countries.

These findings highlight the concomitant need for policy makers in developing countries to design domestic policy that accounts for both external and internal shocks to real variables of economic activity.

Previous empirical studies on the determinants of capital flows to developing countries have mostly examined the capital flow variable in aggregate, and have largely overlooked the possibility that the relative significance of estimated coefficients of such determinants may vary across time horizons.