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This paper aims to investigate the relationship between firm size and growth under the framework of Law of Proportionate Effect (LPE) for Asian firms.

An unbalanced panel data for about 12,001 unique non-financial listed and active firms from 1995 to 2016 for 12 industrial and emerging Asian economies was examined. Total assets and net sales were used as size variables. Firm-specific variables such as return on equity, leverage and liquidity ratio were used along with macroeconomic variables such as GDP growth and two financial development indicators. The fixed effects and random effects approach were used to estimate the dynamic growth model after taking into account econometric issues such as correlation between the cross-country-specific error component and the regressors and heteroscedasticity.

The estimated coefficient of firm size was found to be always significant and negative rejecting the Gibrat’s law for Asian firms confirming that the small-sized firms are growing faster than larger-sized firms. Also, the persistence of growth coefficient suggested that a positive persistence of firm growth does not exist for the selected Asian firms. Gibrat’s LPE was also rejected across small, medium- and large-sized companies. For the aggregate sample, the coefficient of leverage was found to be negative and significant, whereas liquidity ratio, GDP growth, banking sector and stock market variables are found to have positive and significant relationship with growth of firms. For individual economies, a mix of positive and negative (significant and insignificant) estimated coefficient was observed.

At macro-level, the examination of firm growth is likely to have significant policy implications for the regulators and various government agencies as firm growth may increase economic activity in general and employment opportunities in particular. The policymakers can control economic and employment activity by designing specific firm growth policies. At micro-level, the study will have significant implications for managerial decision-making.

To the best of the authors’ knowledge, this is one of the first studies to test the validity of Gibrat’s LPE for large Asian economies and firms using recent data under a dynamic growth framework using firm-specific and macroeconomic variables. Also, persistence of growth of firms under LPE (that growth does not persist from one period to the next) is uniquely examined for Asian firms.

This study investigates the combined influence of corporate governance (CG) and debt maturity (DM) on the investment inefficiency among non-financial 506 NSE-listed firms in India between 2009 and 2022. Additionally, this study also investigates the moderating effect of short-term debt (STD) maturity concerning the relationship between CG and investment inefficiency.

Utilizing the residuals extracted from the Biddle et al. (2009) investment model, three different forms of investment inefficiency (investment inefficiency, overinvestment and underinvestment) were measured. To measure the internal governance of firms, a new corporate governance index (CGI) was developed using 65 new governance stipulations, whereas STD was measured as short-term debt divided by total debt. Interaction effects between CG and DM were also estimated. Employing CGI and STD along with firm-specific control variables, many pooled regression models were estimated. Endogeneity issues were addressed through two-stage least squares. Robustness checks were also conducted using the two-step system GMM, alternative measures of dependent and independent variables.

The findings demonstrate that higher CG and shortened DM increase investment efficiency. This evidence implies that firm-level governance and short-term debt reduce information asymmetry and increase management oversight. Additionally, the evidence suggested that shortened DM and CG complement one another to increase investment efficiency, suggesting companies that utilize STD to a greater (lesser) extent demonstrate a greater (lesser) impact of CG in reducing investment inefficiency.

This work first advocates the establishment and implementation of robust corporate governance mechanisms to control agency conflicts, moral hazard, adverse selection and limit opportunistic behavior of managers for improving investment efficiency. Second, since interaction effects suggest a complementarity between CG and DM, it is advocated that STDs can be used to achieve optimal investment choices to control moral hazards and adverse selection and discourage suboptimal investment levels.

This work provides new evidence concerning the effects of CG and DM on various forms of corporate investment efficiency (investment inefficiency, overinvestment and underinvestment, using alternate measures) in an emerging economy like India having a unique institutional framework and macroeconomic environment using a newly developed firm-specific CG index for a large sample of companies using recent data.

This work aims to empirically investigate the effects of financial development on crop productivity of India.

Time series data such as crop production index, International Monetary Fund’s (IMF) financial development index, gross domestic product (GDP) per capita, arable land, rural population, trade openness and physical capital from 1980 to 2020 was used. The autoregressive distributed lag (ARDL) bounds testing approach of cointegration was used to determine the long-run equilibrium relationship between the selected time series. Also, ARDL long- and short-run coefficients were estimated to examine the effects of selected variables on crop productivity. Furthermore, to establish the robustness of results, long-run estimators such as fully modified least squares and the dynamic least squares were also used. Finally, using the vector error-correction model, causality between the selected time series was examined.

The ARDL cointegration test confirmed the existence of long-run equilibrium relationship among agricultural productivity, financial development, capital formation, GDP per capita, arable land, rural population and trade openness. The estimated long-run elasticities from all the three techniques and the short-run elasticities of ARDL have consistently suggested that the elasticity of financial development is higher (1.55% and 1.40%, respectively) in explaining the crop productivity of India. The short-run causality estimates indicated the presence of positive bidirectional causality between crop productivity and financial development and seven positive unidirectional causal relationships between the selected variables.

Agricultural credit being an important non-land input and essential for overall growth and sustenance of agricultural sector, the policymakers should ensure the overall development of its financial sector which will reduce the intermediation, informational and other transactional costs associated with agricultural credit. This will possibly result in timely availability and access to adequate and low-cost credit from institutional sources.

Though extensive research is available on the effects of financial development on economic growth, limited research is available concerning the impact of financial development on crop productivity, especially for an emerging economy like India. For India, predominantly studies have investigated the impact of farm credit on crop productivity but have not exclusively examined the effects of financial development on agricultural productivity. Therefore, this study not only adds to the empirical literature but also provides new evidence on the nexus between financial development and crop productivity by examining the effects of financial development on crop productivity using the composite financial development index developed by the IMF using the ARDL bounds test for cointegration and other econometric estimators.

This study examines the influence of product market competition on investment inefficiency of Indian firms in context of agency problems. Additionally, this study also investigates whether intense competition is a substitute for or complementary to corporate governance in reducing investment inefficiency of firms.

Utilizing the residuals extracted from Biddle et al. (2009) investment model, investment inefficiency, overinvestment and underinvestment are measured for 506 non-financial Indian listed firms with 6,998 firm-year observations from 2009 to 2022. Product market competition is measured using various proxies such as the Herfindahl–Hirschman index, top-four firm concentration ratio, total number of firms in industry, industry market size, weighted average of entry costs and research and development (R&D) to sales ratio. Firms' internal governance is measured using a newly corporate governance index developed with 65 new governance stipulations. Several pooled ordinary least squares (OLS) panel regressions were estimated involving investment inefficiency of firms, product market competition, governance index and firm-specific variables. Endogeneity issues were addressed through two-stage least squares. Robustness checks were also conducted using a two-step system generalized method of moments (GMM).

The main finding of the study indicates that heightened product market competition reduces investment inefficiency, overinvestment and underinvestment among the selected Indian firms suggesting that firms facing intense competition are less prone to invest below or above optimal levels. This is primarily because in highly competitive industries, managers face greater liquidation risks, prompting more efficient capital investment decisions. The results also indicate that robust corporate governance significantly mitigates investment inefficiencies in non-competitive industries compared to competitive ones suggesting heightened competition reduces managerial slack, resulting in diminished benefits from good governance in competitive settings. Overall results indicate a substitution effect between corporate governance and competition in reducing investment inefficiency, with robustness across various empirical specifications, industry classifications and alternative competition and inefficiency measures.

The evidence from this work emphasizes the pivotal roles of market competitiveness and corporate governance in shaping investment efficiency. Regulators must closely monitor monopolistic behaviors to safeguard stakeholder interests, enhance investment efficiency and foster value creation. Recognizing the positive impact of market competition, firms should prioritize initiatives to promote industrial openness and intensify competition while strengthening market mechanisms. Policymakers should consider implementing competition-centric governance policies, such as deregulation and antitrust laws, to stimulate market competition. These measures can mitigate governance-related costs and promote a competitive marketplace.

This study provides fresh evidence concerning the effects of product market competition on investment efficiency of Indian firms under new governance norms, an unexplored area in India as most of the existing work has primarily examined the association between competition and investment levels. To best of our knowledge, this is one of the earliest studies demonstrating the substitution effects of competitiveness and governance systems on lowering investment inefficiency suggesting a significant influence of corporate governance in non-competitive industries. Finally, this study contributes to the field of methodology by developing a new firm-specific governance index based on 65 governance indicators.

The purpose of this paper is to examine the correlation between firm size, growth and profitability along with other firm-specific variables (like leverage, competition and asset tangibility), macroeconomic variable (like GDP growth-business cycle) and stock market development variable (like MCR).

Using the COMPUSTAT Global database this work uses panel dynamic fixed effects model for nearly 12,001 unique non-financial listed and active firms from 1995 to 2016 for 12 industrial and emerging Asia–Pacific economies. This interrelationship was also examined for small, medium and large size companies classified based on three alternate measures such as total assets, net sales and MCR of firms.

The persistence of profits coefficient was found to be positive and modest. There is evidence of a negative size-profitability and positive growth-profitability relationship suggesting that initially profitability increases with the growth of the firm but eventually, overtime, gains in profit rates reduce, as size increases indicting that large size breeds inefficiency. The relationship between firm's leverage ratio and its asset tangibility is found to be negative with profitability. The business cycle and stock market development variables suggest a positive relationship with the profitability of firms. However, the significance of estimated coefficients was mixed and varied among different selected Asia–Pacific economies.

The study has economic implications on issues such as industrial concentration, risk and optimum size of firms for practicing managers of modern enterprise in emerging markets.

The analysis of the relationship between the firm size, growth and profitability is uniquely determined under a dynamic panel fixed effects framework using firm-specific variables along with macroeconomic and financial development determinants of profitability. This relationship is estimated for a large and new data set of 12 industrial and emerging Asia–Pacific economies.

本研究擬探討公司的規模、成長和盈利能力之間的關係， 同時亦涵蓋公司特有的其它變量 （如愩杆作用， 競爭和資產的有形性）， 宏觀經濟變量 （如國內生產總值增長與景氣之循環）， 以及股市發展變量 (如MCR) 。

本研究以COMPUSTAT 全球資料庫、使用動態面板固定效應模型，涵蓋幾近12001間獨特的、非金融上市及活躍的公司、覆蓋期由1995年至2016年，涉及12個工業及新興的亞太經濟體。這相互關係分析研究亦於大、中及小型企業內進行，而這些企業就規模方面的分類是基於三個交替的測量而釐定的，如總資產、銷售淨額、以及企業的MCR。

研究發現、利潤係數的持續性是正且適中不強的。有證據顯示、規模的大小與盈利能力是負相關的，而增長與盈利能力則為正相關；這暗示盈利能力初時會因企業的成長而增強，但隨著時間的推移最终當規模增大、利潤率的增長會下降，這提示我們：大的規模會導致效率低下。企業的杠桿比率與其資產有形性的關聯被發現與盈利能力成負相關。經濟週期及股市發展變量暗示與企業的盈利能力之關聯為正相關。唯估計係數的意義會因被挑選之各個不同亞太經濟體而有異和不統一的。

本研究對在新興市場的現代企業內工作的業務經理有其實際作用，因研究為他們在業務問題如產業集中度、危機、公司的最佳規模等問題上提供了經濟方面的啟示。

本研究分析公司規模、成長與其盈利能力的關係時，獨特之處是採用了動態面板固定效應模型，並於應用盈利能力的宏觀經濟和金融發展的決定因素的同時，也使用了企業特有的變量。而這關係的分析研究涵蓋12個工業及新興的亞太經濟體的龐大且新的數據集。

This study investigates the effects of elements of corporate governance along with firm specific variables on the financial leverage of listed Indian firms in the context of agency conflicts and new governance laws.

A series of panel ordinary least squares as well as fixed/random effects regression models of book and market value of financial leverage on variables of corporate governance (board size, board composition, board meeting, board attendance and board gender) along with a set of control variables (asset tangibility, firm size, growth, liquidity and profitability) were estimated by employing 113 listed Indian firms during 2010–2021. Dynamic panel generalized method of moments models were also estimated to check the robustness of empirical results. Further, the full sample of firms was divided into small and large board sized companies using the median approach to investigate differences between small and large board characteristics on financial leverage.

The evidence predominantly suggested that the governance variables have significant impact on leverage ratios of selected firms. Governance variables such as board size, composition, attendance and gender are significantly found to be reducing the financial leverage of firms indicating that in general these attributes in a way, through monitoring managers, put pressure on them to pursue lower financial leverage. Board meeting is found to be positive and significantly related with financial leverage suggesting that the frequency of meetings signals its monitoring ability that may influence lenders' risk assessment lowering borrowing cost. The results on small and large board sized companies indicate that firms with small boards relatively issue more debt compared to firms with large boards suggesting that small boards adopt high debt policy.

The main policy implication of the study is that elements of internal corporate governance is a significant governance tool that has the potential to reduce agency conflict between the managers and agents through monitoring and decision making that has tangible effects on critical corporate decisions such as capital structure choices.

This paper contributes to the existing literature by bringing new evidence relating to agency conflicts and capital structure decisions in an emerging market like India post adoption of new regulations related to corporate governance specified in Clause 49 of Securities and Exchange Board of India and Companies Act, 2013 as there is significant dearth of such empirical work.

The purpose of this paper is to empirically examine the impact of financial integration on macroeconomic volatility for developing and emerging economies of Asia.

The effects of financial integration and dynamics of macroeconomic volatility over time and across different groups of Asian economies vis-à-vis advanced economies are investigated using four different variables such as consumption, output, income and the ratio of consumption to income. Further, an empirical link between the degree of international financial integration and macroeconomic volatility for Asian economies is econometrically investigated using generalized method of moments (GMM) system one-step estimator.

Macroeconomic volatilities of per capita output and consumption growth tend to be lower for advanced economies compared to Asian economies. The computed cross-sectional median of the volatility of consumption, output, income and the ratio of consumption volatility to income suggested that the volatility of advanced economies is lower compared to all the regions of Asia. GMM results suggested that the financial openness, trade openness and broad money are negatively and significantly associated with macroeconomic volatility whereas inflation is positively and significantly associated with macroeconomic volatility but the magnitude of trade openness is found to be negligible.

The present study has not included the effects of other country-specific variables (such as fiscal policy volatility) and other external factors to understand macroeconomic volatility.

High integration of economies promote economic growth, reduce macroeconomic volatility and reduce vulnerability to external shocks. This implies that policy makers should thrive to reform and create institutional infrastructure to deepen the integration.

The paper is an important empirical contribution toward examining the effects of financial integration on dynamics of macroeconomic volatility for a large number of Asian developing and emerging economics over time and across different groups using recent data and latest analytical framework and techniques.

The purpose of this paper is to examine the relationship between financial development and economic growth for five major emerging economies: Brazil, Russia, India, China and South (BRICS) during 1993 to 2014 using banking sector and stock market development indicators.

To begin with, the study first examined some of the principal indicators of financial development and macroeconomic variables of the selected economies. Next, using generalized method of moment system estimation (SYS-GMM), the relationship between financial development and growth is investigated. The banking sector development indicators used in the study include size of the financial intermediaries, credit to deposit ratio (CDR) and domestic credit to private sector (CPS), whereas the stock market development indicators are value of shares traded and turnover ratio. Also, some macroeconomic control variables such as inflation, exports and the enrolment in secondary education were used.

The examination of the principal indicators of financial development and macroeconomic variables have shown considerable differences between the selected economies. Results from the dynamic one-step SYS-GMM estimates confirm that in presence of turnover ratio, all the selected banking development indicators such as size of financial intermediaries, CDR and CPS are positively significantly determining economic growth. Similarly, in presence of all the selected banking sector development indicators, value of shares traded is found to be positively significantly associated with economic growth. However, the same is not true when turnover ratio is regressed in presence of banking sector variables. Overall, the evidence suggests that banking sector development and stock market development indicators are complementary to each other in stimulating economic growth.

A positive association between financial development and growth indicates that the policymakers should take necessary measures toward simultaneous development of both banking sector as well as stock market for inducing growth.

The present paper attempts to examine the relationship between financial development and growth using both banking sector and stock market development indicators which has not been attempted before for BRICS. Also, most of the existing studies are found in case of developed economies. This paper tries to fill this void by studying five major emerging economies.

This work investigates the volatility spillovers across stock markets and the nature of such spillovers through different periods of crises and tranquility.

Using daily stock return volatility data from June 2003 to June 2021, the generalized forecast error variance decomposition method (based on Diebold and Yilmaz, 2012 approach) is employed to measure the degree of volatility spillovers/connectedness among stock markets of 24 Asia–Pacific and 12 European Union (EU) economies.

The empirical results from static analysis suggested that about 28.1% (63.7%) of forecast error variance in return volatility for Asia–Pacific (EU) markets is due to spillovers. The evidence from dynamic analysis suggested that during mid of the global financial crisis, European debt crisis (EDC) and Covid-19, the gross volatility spillovers for Asia–Pacific (EU) was around 67% (80%), 65% (80%) and 73% (67%), respectively. The degree of net volatility transmission from Singapore (Denmark) to other Asia–Pacific (EU) markets was found to be highest.

The findings have crucial implications for the investors and portfolio managers in assessment of risk and optimum allocation of assets and investment decisions.

This study adds to the literature on risk management by systematically examining the impact of global financial crises, EDC and Covid-19 on the market interactions by capturing the magnitude, duration and pattern of the shock-specific market volatilities for a large sample of Asian and European markets using recent and large data set.

The purpose of this paper is to examine the issue of high current account deficit (CAD) from various perspectives focussing its behaviour, financing pattern and sustainability for India.

To begin with the trends, composition and dynamics of CAD for India are analysed. Next, the influence of capital flows on current account is investigated using Granger non-causality test proposed by Toda and Yamamoto (1995) between current account balance (CAB) to GDP ratio and financial account balance to GDP ratio. Also, the sustainability of India’s current account is examined using different econometrics techniques. In particular, Husted’s (1992), Johansen’s cointegration and vector error correction model (VECM) is applied along with conducting unit root and structural break tests wherever applicable. Further, long-run and short-run determinants of the CAB are estimated using Johansen’s VECM.

The study found that the widening of CAD is due to fall in household financial savings and corporate investments. Also, it was found that a large part of India’s CAD has been financed by FDI and portfolio investments which are partly replaced by short-term volatile flows. The unit root and cointegration tests indicate a sustainable current account for India. Further, econometric analysis reveals that India’s current account is driven by fiscal deficit, terms of trade growth, inflation, real deposit rate, trade openness, relative income growth and the age dependency factor.

Since India’s CAD has widened and is expected to widen primarily due to rise in gold and oil imports, policy makers should focus on achieving phenomenal export growth so that a sustainable current account is maintained. Also, with rising working-age and skilled population, India should focus more on high-value product exports rather than low-value manufactured items. Further, on the structural side it is important to correct fiscal deficit as it is one of the important factors contributing to large CAD.

The paper is an important empirical contribution towards explaining India’s CAD over time using latest and comprehensive data and econometric models.