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Most spatial econometrics work focuses on spatial dependence in the regressand or disturbances. However, Lesage and Pace (2009) as well as Pace and LeSage2009 showed that the bias in β from applying OLS to a regressand generated from a spatial autoregressive process was exacerbated by spatial dependence in the regressor. Also, the marginal likelihood function or restricted maximum likelihood (REML) function includes a determinant term involving the regressors. Therefore, high dependence in the regressor may affect the likelihood through this term. In addition, Bowden and Turkington (1984) showed that regressor temporal autocorrelation had a non-monotonic effect on instrumental variable estimators.

We provide empirical evidence that many common economic variables used as regressors (e.g., income, race, and employment) exhibit high levels of spatial dependence. Based on this observation, we conduct a Monte Carlo study of maximum likelihood (ML), REML and two instrumental variable specifications for spatial autoregressive (SAR) and spatial Durbin models (SDM) in the presence of spatially correlated regressors.

Findings indicate that as spatial dependence in the regressor rises, REML outperforms ML and that performance of the instrumental variable methods suffer. The combination of correlated regressors and the SDM specification provides a challenging environment for instrumental variable techniques.

We also examine estimates of marginal effects and show that these behave better than estimates of the underlying model parameters used to construct marginal effects estimates. Suggestions for improving design of Monte Carlo experiments are provided.

The purpose of this paper is to analyse whether several groups of European countries are on track for real “conditional” economic convergence in per capita income and the likely speed of convergence. The paper focusses also on the changes of the convergence processes over time.

Unlike the simple “absolute convergence”, it explores the concept of “conditional” or “club” convergence. Moreover, it adopts the approach of extending the univariate model to take into account the panel dimension over an extended time interval and endogeneity.

A process of real economic convergence has characterised the period under investigation (1995–2016), but, in general, the size and significance of the parameter is greater for the wide European Union (EU) area (EU25 and above) rather than the Eurozone (EZ). However, the crises occurred after 2008 caused most of such lower convergence in the Euro area.

This paper gives an estimate of the speed/time needed to several groups of European countries (EZ, in particular) to achieve real economic convergence. Future research could further develop the “stochastic” convergence concept.

This is an analysis of convergence in enlarging EU and EZ for an extended period (including the big crisis period and the subsequent recovery). It shows that EZ experienced a drop in the speed of real convergence after 2008 and converge at lower speed than the EU. As a consequence, a specific budget for EZ would be important to provide adjustment mechanisms after potentially large shocks.

The expansion of social welfare in advanced capitalist countries following the Second World War has been phenomenal. Concomitant to this is the mushrooming of comparative social research devoted to the analysis of welfare states. The central question in comparative policy discourse has been the search for the determinants of social welfare development. There is no consensus over the structural determinants for welfare efforts. However, the literature on comparative social policy has identified a significant number of variables which spur social policy development: industrialization, urbanization, modernization, working‐class mobilization, union strength, state and its particular structure, open economy, diffusion, military spending, and national ideology (Wilensky & Lebeaux, 1965; Wilensky, 1975; Uusitalo, 1984; Wilensky, 1985; Flora, 1987; O'Conner, 1988; Esping‐Andersen, 1990; Pierson, 1991; Wong & Daley, 1991; Janoski & Hicks, 1994).

The study explores how banks design their financial structure and asset portfolio in response to monetary policy changes.

The authors conduct the research design for the Vietnamese banking market during 2007–2018. To ensure robust findings, the authors employ two econometric models of static and dynamic panels, multiple monetary policy indicators and alternative measures of bank leverage and liquidity.

Banks respond to monetary expansion by raising their financial leverage on the liability side and cutting their liquidity positions on the asset side. Further analysis suggests that larger banks' financial leverage is more responsive to monetary policy changes, while smaller banks strengthen the potency of monetary policy transmission toward bank liquidity. Additionally, the authors document that lower interest rates induce a beneficial effect on the net stable funding ratio (NSFR) under Basel III guidelines, implying that banks appear to modify the composition of liabilities to improve the stability of funding sources.

The study is the first attempt to simultaneously examine the impacts of monetary policy on both sides of bank balance sheets, across various banks of different sizes under a multiple-tool monetary regime. Besides, understanding how banks organize their stable funding sources and illiquid assets amid monetary shocks is an innovation of this study.

Purpose: Following the theoretical literature on growth model with externalities, the chapter aims at finding empirical evidence of the main sources of economic interdependencies in Europe.

Methodology/approach: A two-step econometric procedure is adopted. In the first step, in order to evaluate growth spillovers in Europe, cointegration relationships between indexes of industrial production per capita are estimated for 15 European countries. The estimated coefficients, interpreted as long-run elasticities between European countries, appear to be different between countries and unstable over time. In the second step, these coefficients are explained by trade, specialization, research and development (R&D), and macroeconomic variables.

Findings: Panel estimations show strong evidence in favor of a positive relationship between openness, country size, knowledge accumulation, and the long-run sensitivity to European income. European income spillovers are not explained by the specialization of trade and production. We conclude that countries that benefit the most from economic integration are the largest and those that invest the most in R&D.

Originality/value of chapter: The two-step approach adopted in this chapter is original and allows for measuring the impact of various determinants of externalities at the same time.

The purpose of this study is to investigate the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of Japanese banks.

To test the hypotheses, the authors have implemented a panel of 507 commercial and cooperative banks of Japan over the period extending from 2001 to 2020, using a two-step system Generalized Method of Moments (GMM) framework.

The overall sample banks' results show that the impact of leverage, regulatory capital and tier-I capital ratios on ex ante and ex post risk is positive. The findings reveal that the effects of regulatory and tier-I capital ratios on ex post risk are negative (positive) for commercial (cooperative) banks, high-liquid, low-liquid and high-growth banks in Japan. In addition, the regulatory capital ratio is more beneficial for risk due to its power to absorb losses. The lagged coefficient indicates that banks require more time to adjust their ex post and ex ante risk during crisis period than during normal economic conditions.

The heterogeneity in results has practical implications for regulators, policymakers and bank managers in formulating the capital requirement guidelines with respect to ex ante and ex post risk across different categories and characteristics of banks.

To the best of the authors' knowledge, this is the first study investigating the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex-post risk of Japanese commercial and cooperative banks over the period from 2001 to 2020. The insights into the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of well-capitalized, under-capitalized, high and low-liquid banks are new in the context of Japan.

Geographical relocation of ventures, together with rates of firm formation and closure, determine the entrepreneurial population dynamics of a region. However, venture migration has remained largely unaddressed by prior entrepreneurship scholars. This paper draws from theoretical frameworks and prior findings in the economic demography literature to explore policy and environmental determinants of regional venture migration rates, referred to as entrepreneurial transience. Using county-level data for the state of Ohio, we show that local taxation is an important driver of entrepreneurial transience. In particular, local income tax rates are found to be negatively related to subsequent net transience – i.e., venture migration deficits or surpluses. Local business property taxes also influence net transience, but the direction of their impact depends on the average income level in the locale.

The banking sector is undergoing a phase of transition worldwide. The degrees of flux may vary from country to country. Metamorphosis causes include financial distress, corporate governance issues, environmental and social issues and an avalanche of technological advancements. This study aims to explore how environmental, social and governance (ESG), one of the essential and contemporary change agents across the sectors, including in the banks, impacts the valuation of the banking sector. In addition, this study also aims at how another vital and inevitable change agent, information and communications technology (ICT) expenses, influence the ESG’s impact on bank valuation.

Panel data regression is conducted using valuation (Tobin’s Q and market capitalization) as endogenous variables, and ESG and expenditure on ICT are used as the main exogenous variables. The interaction term of ESG and ICT is also used as an exogenous variable.

Surprisingly, the authors find unequivocal evidence of the positive influence of ESG and ICT on bank valuation without consideration of ICT. In addition, ICT is also found to moderate the ESG’s influence on bank valuation positively. In particular, when ICT is low, an increase in ESG impacts the valuation negatively. However, high values of ICT cause ESG to impact the valuation positively.

Without consideration of ICT, ESG investments coincide with the value-creating hypothesis. However, modern world firms do not have a choice of ignoring ICT, which is essential to sustain. Adequate investments in ICT shift the value-eroding ESG effects (at low ICT) toward a value-creating hypothesis (at high ICT) when ESG investments start to impact the value positively.

In practice, modern-day firms have no choice but to align with ESG investments. In cases where ESG tends to erode value (at low ICT), the firms should, in parallel, choose to make some ICT investments. Such combined and balanced attention to ICT, along with ESG, will undoubtedly benefit the firms financially.

The study’s significant implications are on the stakeholders’ mindsets, who may not have clarity on the role of ESG and ICT in the bank’s performance and subsequent valuation. The policymakers may also restructure their long-term policy on ESG in the banking sector using the current study’s findings.

This chapter examines the impact of changes in foreign exchange legislation on the levels of R&D undertaken by pharmaceutical firms in India. Foreign exchange legislation in India was codified as the FERA, passed in 1973, and the legislation was based on the mens rea principle, assuming criminal intent on the part of transgressor. The provisions of FERA were replaced with those of new legislation, called FEMA, in 1999. The impacts of the changes have been examined.

The examination has been based on panel data of Indian pharmaceutical firms over a period of fifteen years, from 1991–1992 to 2005–2006.

The results of the analysis have shown that, controlling for a variety of other factors, a transition from FERA to FEMA has been associated with a significant rise in pharmaceutical firms’ average levels of R&D undertaken.

The research establishes that institutional changes have significantly impacted innovation performance in India. The sector examined, pharmaceuticals, is important for the Indian economy as well as for general welfare, since its products help enhance the quality of lives. How innovation can be enhanced in this sector is an important policy consideration.

The research is the first to examine the impact of changing the laws relating to foreign exchange transactions in India on capability building, via undertaking research activities, in an important sector of Indian industry.

Based on the hypothesis of the environmental Kuznets curve (EKC), the purpose of this study is to investigate the relationship between environmental pollutants (as measured by CO₂ emissions) and GDP for India, over the period 1980–2012. The presence of an inverted “U” shape relationship is examined while controlling for factors such as the degree of trade openness, foreign direct investment, oil prices, the legal system and industrialization.

To verify whether the EKC follows a linear, quadratic or polynomial form, autoregressive distributed lag (ARDL) bounds testing approach for cointegration with structural breaks is adopted. The annual time series data for carbon emissions (CO₂), economic growth (GDP), industrial development (industrialization), foreign direct investment and trade openness have been obtained from World Development Indicators online database. Crude oil price (international price index) for the period is collected from the International Monetary Fund. Data for total petroleum consumption are collected from the US Energy Information Agency. Data for economic freedom variables are from the Fraser Institute's Economic Freedom Index's online database.

The findings support the existence of inverted U-shaped EKC in the short-run, but not in the long-run. A linear monotonic relationship has also been estimated in select model specifications. Additionally, trade openness has been estimated to reduce emissions in models, which incorporate FDI. Else, where significant, its impact on carbon emissions is adverse. A rise in fuel price leads to reduction in carbon emissions across model specifications. Further, the lower size of government degrades the environment both in the long-run and short-run.

Given the existence of the pollution haven hypothesis, wherein more trade and foreign direct investments cause environmental degradation, the paper proposes formulation of appropriate regulatory mechanisms that are environmentally friendly. Additionally, India's new economic policies, favoring liberalization, privatization and globalization, reinforces the need to strengthen environmental regulations.

Incorporation of economic freedom as measured by the “Size of Government” in the EKC model is unique. “Size of Government” deserves a special mention. The rationale for including this explanatory variable is to understand whether countries with lower government size are more polluting. After all, theory does suggest that goods and services, which have higher social cost vis-à-vis private cost, shall be overproduced in economies that adopt more market-friendly policies, necessitating government intervention. In the study, size of government is measured as per the definition and methodology adopted by Fraser Institute's Economic Freedom of the World Index.