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The purpose of this paper is to find out the factors contributing to major shifts in the growth of tax revenue through the estimation of structural breaks and analysis of major tax regimes. Recent contributions to optimal tax theory and empirical literature on the Laffer curve effect, based on elasticity of taxable income, challenge the settled understanding on the rate-revenue relationship. In this backdrop, the objective of the paper is to find out the relative significance of changes in tax rate, tax base and administrative reforms in affecting the growth of tax revenue in India. The paper considers tax data spanning a period of six and half decades for five major components of direct and indirect taxes (corporation, personal income, customs, excise and service) of the central government of India.

Unknown break point(s) – single and multiple – in the tax structure are identified by using the Quandt-Andrews and Bai-Perron econometric tests. These tests were conducted for two models of growth of taxes (tax revenue and tax-NDP ratio) estimated using semi-log functions. A simulation exercise was conducted to find out the robustness of the results by varying the trimming parameter and number of breaks. An analytical framework is used to understand the factors associated with these breaks.

There is more than one break identified for every tax component as per the results of Bai–Perron test. The simulation exercise suggests that estimated breakpoints are mostly robust. Economic growth, structural changes in the economy, simplification and rationalization of tax structure, tax competition, policies such as liberalization have contributed to the changing tax regimes. Results of this study suggest that high tax rates have not been, in particular, detrimental to achieving growth in revenue and factors other than changes in tax rates have been more prominent in bringing about the shifts.

This is, perhaps, the first paper exploring the multiple structural breaks in the fiscal variables in India. It offers an understanding of the changing regimes of central government taxes and the underlying factors for the same.

The paper examines the differential effect of liquidity constraints on corporate growth using unbalanced panel data for 457 Pakistani firms over the period 2010–2017.

The study uses the probability of a financial unconstrained index constructed by estimating the endogenous regression model. This approach provides a time-varying measure of financial position for all firm-year observations and takes into account the different degrees of liquidity constraints that a company faces in attaining funds from external markets. It is derived from a multivariate selection equation that simultaneously accounts for all-important features of the underlying company identified in the literature. The cash flow variable has then interacted with various groups of dummy variables for financial constraint, which allows the coefficient of cash flow to vary across firm-year observations in the different liquidity constraint categories. The two-step system-GMM estimator is applied to estimate the main empirical model.

The results of the study provide evidence of the heterogeneity in firms' growth sensitivity to internal funds, depending on the degree of liquidity constraints. Financing growth through internal funds is found to be essential for both liquidity unconstrained and constrained corporates. However, it is observed that the coefficient of cash flow is greater for firms that do not have access to external financing and it eventually decreases with reductions in the magnitude of liquidity constraints, making the least constrained corporates' growth less responsive to internal funds. The results further indicate that smaller and younger firms show higher responsiveness of growth to internal funds. This finding is mainly attributed to financial market imperfections that make external funding difficult for them.

The results suggest that financially constrained firms should expand their corporate size more than the magnitude of positive income shocks they encounter. The study also suggests important policy implications for liquidity-constrained firms to carefully concentrate on their financing strategies to enhance their growth. By improving the corporate's capacity for production, corporates can achieve a faster effect of a potential positive income shock on their growth.

This paper contributes to the literature by constructing a financial constraint index by running the endogenous regression model. It also contributes by investigating the differential impact of credit constraints on firms' growth in Pakistan and how corporate size and age affect firm growth when financial constraints and investment opportunities are controlled.

This paper aims to explain the empirical relationship between competitiveness and economic growth in a globalizing world. In recent times, the advanced economies have experienced a slowdown of growth, whereas the BRICS countries continue to experience high growth. The authors explore the following question: Does competitiveness of nations’ degree of competition explains this differential in growth? The authors explore competiveness and growth in a macroeconomic perspective for the large economies in the OECD and BRICS countries.

The authors use dynamic panel data modelling technique to find the relationship between competitiveness and economic growth. This technique enables to control heterogeneity problem of this group to some extent. The focus variable of this study is annual GDP growth rate for the period 2007-2017. The proxies for measuring competitiveness in this paper are trade as percentage of GDP, product market regulation, unit labour cost and global competitive index. Innovation prevalence of foreign ownership, efficiency, competition, state of cluster development, venture capital availability, extent of market, research and development expenditure as percentage of the GDP mergers and acquisitions and multifactor productivity are the control variables.

The authors find that the degree of competitiveness competition is less likely to impact economic growth in the OECD countries because they have more or less similar competitive environment. Innovation, extent of market and state of cluster development and venture capital availability explaining growth differential. Increased competition is likely to affect growth negatively. This explains the oligopolistic structures of the world economy. However, the BRICS countries vary significantly in competitive environment. This is the reason of volatility in their growth. The conclusion is that competitiveness is important for sustained growth. Competitiveness is, however, an outcome of a set of policies, not a policy itself.

Productivity data for OECD and BRICS countries are not available. Various series are not comparable. OECD countries have discontinued yearly unit labour cost series, and high frequency series are available but no such series for BRICS exists.

First, this paper proposes that wage growth, measured by the unit labour cost growth rate, is an important determinant of competitiveness amongst the nations. Wage growth is falling short of productivity growth in the OECD countries. This has implications for the long run sustainability of growth, skill development and inequalities in the region. Since 2011, world economic recovery is slow. Wage growth is imperative for generating sufficient private demand in the OECD countries. Second, this paper provides evidence that competitiveness is important for explaining growth in the OECD and the BRICS countries. However, it also highlights that competitiveness can be measured effectively by the trade differential or with the help of unit labour cost. Unaligned real effective exchange rate in terms of unit labour costs is the real cause of the problem.

Research in this area is still in infancy. This research finds that how competitiveness affects growth. A more competitive nation can sell more, but not necessarily grow rapidly. In development process, growth comes first, and at the latter stages, countries have to introduce effective reforms for competitiveness. This is the effect of competitiveness on growth by comparing various indexes.

The aim of this study is to examine the nature and determinants of stock market integration between India and other Asia–Pacific countries (Malaysia, Hong Kong, Singapore, South Korea, Japan, China, Indonesia, the Philippines, Thailand and Taiwan) over the period 1991–2021.

Unit root tests, the dynamic conditional correlation-Glosten Jagannathan and Runkle-generalized autoregressive conditional heteroscedasticity (DCC-GJR-GARCH), pooled ordinary least squares (OLS) regression and random effects models are employed for the analysis.

The empirical results show that the DCC between each pair of sample countries is less than 0.5, indicating weak ties between the pairs of sample countries. Also, the DCC between India and other Asia–Pacific stock markets is positive and low, implying low level of integration. The correlation between India and China stock markets is found to be the highest, implying significant level of integration. The main reason for it would be strong economic linkages and bilateral trade relationship between India and China. Moreover, gross domestic product (GDP), interest rate (IR), consumer price index (CPI)-inflation and money supply (MS) differentials are the major driver of stock market integration between India and other Asia–Pacific countries.

The findings of the study have important implications for investors, portfolio managers and policymakers. It is found that the DCC between India and other Asia–Pacific countries (considered in the study) except China is low, which indicates weak ties between the pairs of sample countries. This implies that the Indian stock market provides good investment opportunities for foreign investors. Also, investors and portfolio managers can attain more diversified benefits and can minimize country risk by investing across Asia–Pacific countries. Further, knowledge about the factors that integrate the Indian stock market with the other Asia–Pacific stock markets will help policymakers frame suitable economic and financial stabilization policies.

This study contributes to the extant literature: first, by examining the linkages of Indian stock market with other Asia–Pacific countries; second, although previous studies confirmed the existence of linkages among the various stock markets, few researchers pay attention to the factors driving the process of stock market integration. This study provides additional evidence by examining the significant macroeconomic factors driving the process of such integration in the Asia–Pacific region considered under the study.

Uses a model of technical change embodied in capital equipment to analyse average labour productivity growth. Determinants of productivity growth identified in this analysis are: (1) the rate of labour‐saving technical change; (2) the differential in the rates of change of wages and the rental price of capital; and (3) the rate of growth of industry productive capacity. Finds evidence that each of the identified factors has a positive and statistically significant relationship to average labour productivity growth in a cross‐section of Australian manufacturing industries.

I use data from employers and longitudinal data from former/current recipients covering the period 1997 to early 2004 to analyze the relationship between job skills, job changes, and the evolution of wages. I analyze the effects of job skill requirements on starting wages, on-the-job training opportunities, wage growth prospects, and job turnover. The results show that jobs of different skill requirements differ in their prospects for earnings growth, independent of the workers who fill these jobs. Furthermore, these differences in wage growth opportunities across jobs are important determinants of workers’ quit propensities (explicitly controlling for unobserved worker heterogeneity). The determinants and consequences of job dynamics are investigated. The results using a multiplicity of methods, including the estimation of a multinomial endogenous switching model of wage growth, show that job changes, continuity of work involvement, and the use of cognitive skills are all critical components of the content of work experience that leads to upward mobility. The results underscore the sensitivity of recipients’ job transition patterns to changes in labor market demand conditions.

The relation between size and growth in banking firms in emerging economies has not been adequately addressed in the literature. By employing data for 1992-2014, the purpose of this paper is to examine the relationship between growth and productivity and how it interacts with ownership.

The longitudinal nature of the data suggests that the appropriate technique for the analysis is panel data econometrics. Accordingly, consistent with prior research, the author employs a fixed effects model. Besides accounting for firm-level observables, the author controls the economic environment and bank ownership by employing real GDP growth and ownership dummies.

The evidence appears to suggest that growth improves through both active and passive learning, the magnitude of the former far outweighing that of the latter. These results are remarkably robust: both baseline regressions and sensitivity tests point to similar conclusions.

To the best of the author’s knowledge, the paper makes two original contributions. First and more broadly, it tests the relationship between growth and productivity for banks in a leading emerging economy. Second, it distinguishes between two kinds of learning – active and passive – and explores which of them are more relevant for growth.

Relative risk ratings measure the degree by which a country’s sovereign rating is better or worse than other countries (Basu et al., 2013). However, the literature on the impacts of sovereign ratings on capital flows has not covered the role of relative risk ratings. This paper aims to examine the effect of relative risk ratings on private capital flows to emerging and frontier market economies is filled. In the analysis, the effect of relative risk ratings to that of absolute sovereign ratings in influencing private capital flows are compared.

This paper examines the influence of sovereign credit ratings and relative risk ratings on private capital flows to 26 emerging and frontier market economies using quarterly data for a 20-year period between 1998 and 2017. A dynamic panel regression model is used to estimate the relationship between ratings and capital flows after controlling for other factors that can influence capital flows such as growth and interest rate differentials and global risk conditions.

The analysis finds that while absolute sovereign credit ratings were an important determinant of net capital inflows prior to the global financial crisis in 2008, the influence of relative risk ratings increased in the post-crisis period. The post-crisis effect of relative ratings appears to be driven mostly by portfolio flows. The main results are robust to an alternate measure of capital flows (gross capital flows instead of net capital flows), to the use of fixed gross domestic product weights in calculating relative risk ratings and to the potential endogeneity of absolute and relative ratings.

This study advances the literature on being the first attempt to understand the impact of relative risk ratings on capital flows and also comparing the impact of absolute sovereign ratings and relative risk ratings on capital flows in the pre- and post-global financial crisis periods. The findings imply that emerging and frontier markets need to pay greater attention to their relative economic performance and not just their sovereign ratings.

The purpose of this paper is to undertake an econometric investigation of the determinants of the nominal South African rand/US dollar exchange rate before and after the country's financial liberalisation in March 1995.

Regression models are used to examine the changing relationships between the nominal rand/dollar exchange rate and the determinants of capital flows, fundamentals, and country‐specific factors over the long‐run of 1988 to 2007, as well as over the sub‐sample periods of 1988 to 1995, and 1995 to 2007.

The results show that the factors that are associated with the rand/dollar exchange rate are different before and after the country's financial liberalisation. Prior to 1995, bond and equity purchases by non‐residents, the long‐term interest rate differential, political risk, and the Dollar price of gold were highly significant. However, post‐1995, only the net purchases of shares on the Johannesburg stock exchange (JSE) by non‐residents and the long‐term interest rate differential are significant.

The results suggest that the Rand has changed from being a “commodity currency” in the years before 1995 to being an “equity currency” after 1995.

This study uses a longitudinal data set of administrative records to investigate geographical mobility among unemployment benefit recipients in Australia, focusing on the role of regional differences in employment opportunity and housing costs. Two statistical approaches are used. The first is to model the probability that a benefit recipient changes region within a 12‐month period, with measures of employment opportunity and housing costs in the “home” region included among the explanatory variables. The second models flows between regions, with the regional differentials included among the regressors. Rather than providing evidence that unemployed persons move to areas of higher employment opportunity, the results are suggestive of poverty traps in which the unemployed move to areas of lower living costs and hence lower employment opportunity. There is some evidence of negative incentive effects of unemployment benefit levels on mobility, but this is difficult to ascertain due to the limited variation in that variable.