High-growth versus declining firms: the differential impact of human capital and R&D

We provide evidence that both human capital and R&D increase the likelihood that a firm will be a high-growth firm in the industry. However, different from human capital, being an R&D active firm also increases the probability of substantial decline or failure, underscoring the risky nature of innovation. Quantile regression results show that, different from R&D, human capital is growth-enhancing for all firms, hence also those located in the lower quantiles of the distribution of growth rates across firms.     

Firm growth and liquidity constraints: evidence from the manufacturing and service sectors in Italy

We use a large firm-level panel data set to analyse the relevance of liquidity constraints on firm growth in Italy. In most European countries, mainstream financial institutions are scantly able to provide affordable credit facilities to small firms. Thus, these firms are forced to finance their growth almost exclusively through retained earnings. We estimate a dynamic version of Gibrat-law, incorporating cash flow as a measure of financial constraints, for two different size classes within small and medium size enterprises and for several industries in manufacturing and service sectors. The findings show that, in general, small manufacturing firms have higher growth-cash flow sensitivities with respect to medium firms. Conversely, our results highlight, for the services, a significant heterogeneity in the impact of liquidity constraints on firm growth. In particular, the sensitivity of growth rates to the cash flow appears relatively high for small firms belonging to Knowledge Intensive Business Services. Validation of Gibrat-law in the services suggests that an important group of industries, with a superior capacity of encouraging firm’s competitiveness, need more financial resources to promote their growth and that of the manufacturing sectors with whom they are connected.     

Firm survival and exit in response to trade liberalization

Abstract.  This paper considers the implications of changing trade barriers for the survival of Canadian manufacturing firms. The findings suggest that Canadian tariff reductions decreased the probability of survival for Canadian firms while declines in American tariffs increased that probability. Combining these effects, two‐thirds of Canadian manufacturing firms saw their probability of survival increase as a result of the tariff reductions mandated by the Canada‐US Free Trade Agreement. However, the vulnerability of a firm to failure as a result of trade liberalization was mitigated by the characteristics of that firm, particularly scale and leverage. JEL classification: F1, L1     

What determines stock liquidity in Australia?

Using an index of corporate governance quality (CGQ), we provide the first robust evidence of the determinants of stock liquidity in Australia. We assume that CGQ affects stock liquidity because effective governance decreases information asymmetries between insiders (e.g. managers) and outsiders (e.g. investors), as well as among outsiders, by improving information transparency of a firm. Consistent with agency theory, this study, using 435 large capitalization firms over the period from 2001 to 2008, finds a significant positive relationship between CGQ and stock liquidity, suggesting that better governed firms have a higher level of stock liquidity. These findings are robust to alternative proxies of CGQ, stock liquidity and endogeneity bias.     

Liquidity default,liquidity management and smooth dividends policy

Our article models liquidity financing constraints with the real options framework. By conducting a comprehensive investigation of the effects of shocks to liquidity constraints on the firm’s optimal investment, financing and dividend policies, our model highlights the importance of liquidity management and extends the liquidity management approach to hedge liquidity default risk. We find that being concerned about liquidity default risk will significantly change a firm’s behaviours, including those related to investment and the optimal capital structure. A firm that is concerned about its liquidity default risk will become more cautious: it will choose to delay investment and have higher leverage when internal liquidity is very low, but choose earlier investment and lower leverage when liquidity is high enough. The dividends policy can alleviate risks from both the external market and internal project volatility and provides an alternative explanation for the ‘smooth dividends policy puzzle’ commonly reported in empirical research.     

Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models

This paper applies the threshold quantile autoregressive model to study stock return autocorrelations and predictability in the Chinese stock market from 2005 to 2014. The results show that the Shanghai A-share stock index has significant negative autocorrelations in the lower regime and has significant positive autocorrelations in the higher regime. It attributes that Chinese investors overreact and underreact in two different states. These results are similar when we employ individual stocks. Besides, we investigate stock return autocorrelations by different stock characteristics, including liquidity, volatility, market to book ratio and investor sentiment. The results show autocorrelations are significantly large in the middle and higher regimes of market to book ratio and volatility. Psychological biases can result into return autocorrelations by using investor sentiment proxy since autocorrelations are significantly larger in the middle and higher regime of investor sentiment. The empirical results show that predictability exists in the Chinese stock market.     

Noise traders,firm-specific uncertainty and technical trading effectiveness

This is the first study to document evidence of technical trading effectiveness at firm level in the Chinese A-share market by investigating the relationship between excess profits of technical trading rules and firm-specific characteristics. Our results reveal that firms with higher excess profits from technical trading have more noise traders and higher institutional ownership and that those firms tend to be growth firms with lower liquidity and higher firm-specific uncertainty. Further analysis shows that the profitability of technical trading rules is unsustainable and the excess profits of the highest technical trading profit quintile portfolio disappear in the following year.     

The impact of income,economic openness and interest rates on housing prices in China: evidence from dynamic panel quantile regression

The rapid growth of housing prices has attracted the attention of the whole of society in China. This article adopts the dynamic panel quantile regression to investigate the impact of income, economic openness and interest rates on housing prices in China, based on the panel data of 35 major cities from 2002 to 2012. Compared with previous studies, we can more precisely and reasonably discuss the impact of these variables on different levels of housing prices. The empirical results indicate that the impact of independent variables on housing prices is heterogeneous across quantiles. Specifically, the impact of income is positive and significant across quantiles, and the impact becomes greater at the 90th and 95th quantiles. Economic openness has a positive and significant effect at the 5th–80th quantiles, which support the Balassa–Samuelson effect, but it is insignificant at the 90th and 95th quantiles. The impact of interest rates is positive and significant at low quantiles, but the impact is negative and insignificant at high quantiles. Furthermore, we also find that the coefficients of interest rates at various quantiles are smaller. In addition, the population has a significant positive effect across quantiles. Finally, we provide important policy implications.     

TRAINING, JOB SECURITY AND INCENTIVE WAGES

This paper considers the optimal level of firm‐specific training by taking into account the positive effect of training on the expected duration of workers' current employment. In the framework of an efficiency wage model, a short expected job tenure represents a disamenity that reduces the penalty from shirking. As this disamenity increases, workers have an incentive to continue providing a positive level of effort only if they are compensated by a higher wage. We endogenize the employment separation rate by introducing firm‐specific training. Firm‐specific training creates a rent that is lost if the worker is separated from the firm. As a result, the firm will be more reluctant to fire its trained workforce in a recession. This implies that firm‐specific training can decrease current wages because it represents a commitment to lower future labour turnover.     

Becoming an acquirer and becoming acquired

This paper considers mergers and acquisitions (M&A) in Finland. We explain the likelihood that a firm acquires or is acquired by another firm. We try to find out whether the incidences of M&A are influenced by the firms' R&D activity, measured by the calculated R&D stock. We obtained a very robust result, which says that R&D stock increases the probability that a firm acquires in all industries. In the nonprocessing industries, R&D stock similarly increases the probability that a firm is acquired by another. In the processing industries, the firm's own R&D stock has, however, zero impact on the likelihood that another firm buys a firm concerned. We interpret these results indicating that M&A are used as instruments to transmit knowledge from one firm to another. In the nonprocessing industries, it is evident that knowledge capital cumulated in the target is the main motivation for the purchase. Then a buyer's own R&D—which also increases the probability of the trade—signals that a buyer is efficient in absorbing the purchased new technology. In the processing industries, the motive for acquisition is different. We discovered that in the processing industries, technology is rather transmitted from the buyer's firm than to the purchased firm. It looks like that, in these industries, the firms have decreased their unit costs by means of their R&D activity, and so through M&A, the appeared unit cost differences have been levelled.     

Liquidity Shock,Credit Constraint and the Development of Private vs. State-Owned Enterprises

Based on firm level data for the period of 1998–2007, this paper attempts to explain the growth differences between private enterprises and state-owned enterprises (SOEs) in China, in the context of liquidity shocks, and institutional and financial environments. It is found that (1) when liquidity tightens, the private enterprises face stricter credit constraints than SOEs, which restricts the development of private enterprise; (2) when liquidity becomes abundant, private enterprises face fewer financial limitations and grow much faster than SOEs; (3) the effect of liquidity shocks on the growth rate gap between private enterprises and SOEs has weakened during the period 2002–2007. These findings reveal that the credit discrimination against private enterprises can be mitigated by improving institutional and financial environments, which weaken the effects of liquidity shocks on firm growth.     

Dynamic Security Design: Convergence to Continuous Time and Asset Pricing Implications

An entrepreneur with limited liability needs to finance an infinite horizon investment project. An agency problem arises because she can divert operating cash flows before reporting them to the financiers. We first study the optimal contract in discrete time. This contract can be implemented by cash reserves, debt, and equity. The latter is split between the financiers and the entrepreneur and pays dividends when retained earnings reach a threshold. To provide appropriate incentives to the entrepreneur, the firm is downsized when it runs short of cash. We then study the continuous-time limit of the model. We prove the convergence of the discrete-time value functions and optimal contracts. Our analysis yields rich implications for the dynamics of security prices. Stock prices follow a diffusion reflected at the dividend barrier and absorbed at 0. Their volatility, as well as the leverage ratio of the firm, increase after bad performance. Stock prices and book-to-market ratios are in a non-monotonic relationship. A more severe agency problem entails lower price-earning ratios and firm liquidity and higher default risk.     

Productivity, innovation and R&D: Micro evidence for Italy

By exploiting a rich firm level data-base, this paper presents novel empirical evidence on the effect of process and product innovations on productivity, as well as on the role played by R&D and fixed capital investment in enhancing the likelihood of introducing innovations at the firm level. Our results imply that process innovation has a large impact on productivity. Furthermore, R&D spending is strongly positively associated with the probability of introducing a new product, whereas fixed capital spending increases the likelihood of introducing a process innovation. The latter result might reflect the fact that new technologies are frequently embodied in new capital goods. However, the effect of fixed investment on the probability of introducing a process innovation is magnified by R&D spending internal to the firm. This implies that R&D can affect productivity growth by facilitating the absorption of new technologies.     

Firm value and the diversification choice: international evidence from global and industrial diversification

Our study examines the nature of industrial and global diversification for a sample of more than 12?000 firms across 35 emerging and developed countries during the period 1991–2006. Consistent with previous studies, we find that industrial diversification, either alone or combined with global diversification, results in a reduction of firm excess value. Global diversification alone, however, does not exert a significant impact on excess value. In an analysis of the decision to diversify, we find that firms in civil law countries or less developed nations are more likely to diversify, suggesting the greater utility of internal capital markets in economies where it is difficult to raise external capital. We observe that high leverage, larger size, lower levels of growth, R&D, free cash flow, profitability and Tobin's q encourage firms to diversify industrially. Higher values of q, firm size, R&D expenditures, free cash flow and liquidity, but reduced growth rates and profitability are associated with global diversification.     

Wages, Experience and Seniority

In this paper we study the sources of wage growth. We identify the contribution to such growth of general, sector specific and firm specific human capital. Our results are interpretable within the context of a model where the returns to human capital may be heterogeneous and where firms may offer different combinations of entry level wages and firm specific human capital development. We allow for the possibility that wages are match specific and that workers move jobs as a result of identifying a better match. To estimate the average returns to experience, sector tenure and firm specific tenure within this context, we develop an identification strategy which relies on the use of firm closures. Our data source is a new and unique administrative data-set for Germany that includes complete work histories as well as individual characteristics. We find positive returns to experience and firm tenure for skilled workers. The returns to experience for unskilled workers are small and insignificant after 2 years of experience. Their returns to sector tenure are also zero. However, their returns to firm tenure are substantial.     

R&D contribution in TFP growth of Greek industry: A limited information likelihood approach

We provide a novel panel model to decompose total factor productivity (TFP) growth in the Greek industry at the firm level while we tackle the contribution of R&D. We, therefore, opt for parametric methodology that provides statistical inference and would validate the results. Our modeling departs from prior strong assumptions such as error terms across firms being independent. In fact, we provide a novel limited information maximum likelihood (LIML) estimation method that adequately deals with the issue of endogeneity and model misspecification. We demonstrate that our model detects variability in terms of TFP growth components across industries and firms. Our results show that R&D would enhance TFP of Greek firms, albeit the crisis has had a detrimental impact. Financial ratios such as liquidity and solvency ratios also affect TFP as we demonstrate that both would enhance TFP. The solvency ratio is important as it provides an estimate of whether the firm can cope with debt. We also note variability across small versus medium and large firms and report that small firms are more productive and spend more of their revenues on R&D. In terms of policy, our evidence warrants higher R&D spending to enhance TFP growth, though R&D funding is a concern.     

Investment-based optimal capital structure

This paper extends the classical capital structure model by introducing the output of firm with ‘AK’ production technology dynamically depends on the endogenous investment decision and capital accumulation. Based on our calibration, it shows that the flexibility of dynamic investment and capital accumulation induces the firm to take the lower leverage at financing time and makes the leverage estimate closer to empirically observed leverage ratios, which provides an effective explanation for the ‘under-leverage puzzle’. In addition, this model predicts that the market leverage behaves in a U-shaped manner with capital liquidity, which provides a novel empirical test.     

The missing link between innovation and performance in Brazilian firms: a panel data approach

This study aims to verify if there is a positive relationship between innovation and productivity and/or profit in Brazil using a recursive model in line with the Crépon, Duguet and Mairesse (CDM) model. Using a rich combination of three databases, this paper considers a sample of more than 10,000 Brazilian industrial firms and the period 2001–2008. Besides using R&D expenditure as a measure of innovation input, this study also tests the technical-scientific personnel stock as a more appropriate measure of innovative effort in emerging countries. This variable considers the tacit knowledge intrinsic to the worker and corrects a possible measurement error bias in the R&D expenditure variable. The empirical strategy uses a reduced form of the CDM model in a panel data structure to provide consistent estimates as it controls for selectivity, simultaneity and endogeneity due to unobserved firm effects. There are still few studies that apply the CDM model for panel data, especially regarding developing countries. The main results suggest that technical-scientific workers positively affect the firms’ probability to innovate while R&D expenditure has no effect. The results also highlight the absence of the effect of innovation on productivity and profit, suggesting a missing link between innovative efforts and Brazilian firms’ performance.     

R&D expenditures and firm growth – is small beautiful?

ABSTRACT

This paper examines how efficiently different groups of firms use their R&D expenditures. To this end, it investigates how the empirical relationship between firms' R&D expenditures and their sales growth varies with different values of firm size, firm age, and the number of firms in the respective industry. Using panel data for Switzerland ranging from 1995 to 2012, the paper finds that smaller, more mature firms show a more positive relation between R&D expenditures and sales growth than both relatively larger or younger firms. The paper argues that, on the one hand, these firms can benefit from various small size advantages in the R&D process, such as more motivated researchers, caused by a stronger connection to the firm's fate. On the other hand, these firms can also benefit from a well-established R&D department that allows absorbing the latest technological developments. The paper further finds that industries consisting of many small firms show a more positive relation between R&D expenditures and sales growth than industries consisting of only a few large firms. The intuition behind this result is that industries consisting of many small firms imply more independent innovative trials, which then together result in a higher probability of discovering successful innovations. In sum, the paper finds that groups consisting of a large number of small, more mature firms spend their R&D in the most efficient way.