How does leverage affect R&D intensity and how does R&D intensity impact on firm value in South Korea?

We examine how leverage affects corporate research and development (R&D) intensity, as well as examine the impact of R&D on firm value in South Korea, a country in which corporate-funded R&D intensity is one of the highest in the world. Among our main results, we find that growth opportunities have a positive effect on R&D intensity, while leverage has a negative effect on R&D intensity. When leverage is at an extremely high level, the relationship between growth opportunities and R&D intensity turns from positive to negative. Using instrumental variables, we find that R&D generates an increase in firm value.     

How do firm characteristics affect the subsidies provided by the unemployment insurance system?

The experience-rated method of financing unemployment insurance in the US is incomplete because of the imposition of both maximum and minimum tax rates. The result is a pattern of cross-subsidization to those firms that generate considerable layoffs from those firms that exhibit a stable pattern of employment. Past studies have investigated this cross-subsidization by industries, but have not examined in detail whether or not the characteristics of the firm play an important role. The research presented herein examines the relationship between particular characteristics of the firm – age, size, average wage, and seasonality of employment – and their effect on whether the firm is subsidized or not. Other than the industry classification, age appears to be the most significant determinant of subsidization. It appears that both young and old firms display a higher probability of subsidizing middle-age firms.     

How do international agreement constraints affect marine litter management strategies?A research based on differential game

Based on differential game theory,the decision-making problem of two homogeneous countries facing transboundary marine litter governance is studied.On the basis of assuming that the input of marine litter is an exogenous variable,the focus is on reducing the accumulation of marine litter through cleanup and transfer processing by both parties.Considering the constant and increasing input of marine litter,in the framework of international agreement constraints,the analysis of the game behavior of...     

What does export diversification do for growth? An econometric analysis

It is frequently suggested that export diversification contributes to an acceleration of growth in developing countries. Horizontal export diversification into completely new export sectors may generate positive externalities on the rest of the economy as export oriented sectors gain from dynamic learning activities due to contacts with foreign purchasers and exposure to international competition. Vertical diversification out of primary into manufactured exports is also associated with growth since primary export sectors generally do not exhibit strong spillovers. Yet there have been remarkably few empirical investigations into the link between export diversification and growth. This paper attempts to examine the hypothesis that export diversification is linked to economic growth via externalities of learning-by-doing and learning-by-exporting fostered by competition in world markets. The diversification-led growth hypothesis is tested by estimating an augmented Cobb–Douglas production function on the basis of annual time series data from Chile. Based on the theory of cointegration three types of statistical methodologies are used: the Johansen trace test, a multivariate error-correction model and the dynamic OLS procedure. Given structural changes in the Chilean economy, time series techniques considering structural breaks are applied. The estimation results suggest that export diversification plays an important role in economic growth.     

How does spatial crowdedness affect patenting performance in industrial clusters? An empirical study on the moderated U-shaped relationship

ABSTRACT

Prior literature suggests the coexistence of the positive and the negative externalities of agglomeration. However, with a focus on the production system side of industrial cluster, the extant studies less explore the root of the above mixed findings from the knowledge system side of clusters. Thus, this study aims to establish a coherent theoretical framework to reconcile the mixed findings on the relationship between spatial crowdedness and cluster-level patenting performance. Specifically, we expect a U-shaped relationship between spatial crowdedness and cluster-level patenting performance. From a perspective of knowledge based view, we argue that the interplay of two underlying mechanisms, i.e. knowledge spillover exploitation and knowledge safeguarding, will lead to this U-shaped relationship. We also propose the moderation effect of technological complexity on this U-shaped relationship. Using a longitudinal dataset from a sample of 171 industrial clusters in China during the period of 2011–2015, we find strong supports to our hypotheses.     

How does knowledge network affect a firm’s explorative innovation? The contingent role of R&D collaborations

Innovation is a process of knowledge recombination [Fleming, L. 2001. “Recombinant Uncertainty in Technological Search.” Management Science 47: 119 p]. Extant literature highlights the importance of a firm’s knowledge base for innovation, while little is known about the structure of a firm’s knowledge base and how it affects the firm’s explorative innovation. Based upon the perspective of network analysis, we portray a firm’s knowledge base as an intra-organisational knowledge network and examine the effects of two structural features of the network – density and centralisation – on the firms’ exploratory innovation. Using a manual collected dataset of 738 Chinese automobile manufacturers, we find that a firm explores fewer new knowledge elements when the firm holds a dense knowledge network or a centralised knowledge network. More importantly, with the increase of a firm’s R&D collaborations with external actors, the negative effect of density is mitigated while the negative effect of centralisation is reinforced. Both theoretical and practical implications are discussed.     

More bits – more bucks? Measuring the impact of broadband internet on firm performance

The paper provides empirical evidence for the causal impact of broadband Internet on firms’ labour productivity and realised process and product innovations. The analysis refers to the early phase of DSL expansion in Germany from 2001 to 2003, when roughly 60% of the German firms already used broadband Internet. Identification relies on instrumental variable estimation taking advantage of information on the availability of DSL broadband at the postal code level. The results show that broadband Internet has no impact on firms’ labour productivity, whereas it exhibits a positive and significant impact on their innovation activity.     

Import-push or export-pull? An industry-level analysis of the impact of trade on firm exit

Does the selection effect of trade work solely through competition from imports, or does the export market further contribute to firm selection? This paper provides a re-interpretation of the different mechanisms in terms of selection on profitability—rather than productivity—and derives novel predictions regarding the export market and the role of product differentiation. Empirical results for a sample of Danish manufacturing industries confirm the import-“push” hypothesis as well as the export-“pull” hypothesis, but also reveal differences across industries. The selection effect of trade is mainly driven by the “import-push” if product differentiation is high, whereas it is driven by the “export-pull” if goods are homogeneous.     

Does state-level per capita income affect juvenile delinquency? An empirical analysis for Indian states

While average juvenile crime rates across India has dropped in recent decades, juvenile property crime rates (total juvenile crimes divided by state population) has actually gone up from 15% in 2000-01 to about 20% in 2013-14. There is huge variation across states when it comes to juvenile crime rates. The literature on juvenile crime in the Indian context is scant. This paper aims to fill the gap in the literature by undertaking a comprehensive analysis of juvenile delinquency related to property crimes across Indian states. Results show that state income per capita has a non-linear impact on incidences of juvenile crime across Indian states - rising when the income starts growing for relatively poorer states but increasing at a diminishing rate when state income per capita rises further. When a poor state gets relatively richer, both opportunities to commit crime and returns from property crime increases. However, as the state grows even richer, growth of employment and state facilities including rehabilitation and redistribution, improve. Further, we find that states with the lowest income per capita and highest level of adult crime face the steepest increase in juvenile crime rates for a rise in state income per capita.     

How do the determinants of firm survival change in the course of the industry life cycle? A fuzzy-set analysis

Industry life-cycle research on firm survival often tests the effects of innovativeness, entry timing, and experience from related industries. However, findings on how these effects change over different stages of the life cycle are scarce. To fill this gap, we perform a fuzzy-set qualitative comparative analysis on a data-set of 58 video game device producers in six product generations. We find that innovation provides a consistent survival advantage only in the mature stage of the life cycle. We also find that experience accumulated within the industry loses its value in the mature stage, and the advantage shifts to de alio entrants only after shake-out. These findings are discussed relating to technological uncertainty, the role of internal and external knowledge, and the construction of sufficient technological performance.     

Impact of asset price fluctuation on China’s monetary policy: An empirical analysis based on quarterly data, 1994–2006

The strenuous fluctuation in global asset price in recent years has had a profound impact on the economic and social development of every country. An empirical analysis indicates that asset prices (the stock price index and real estate prices) are important endogenous variables affecting the interest rate reaction function of central bank monetary policy. With expected inflation as a given, each one percentage point rise in output gap will cause a 0.79 percentage point reduction in interest rates by the central bank and each one percentage point rise in real estate price will result in a 2.2 percentage point rise in interest rates. The stock price index does have an influence on the trends in monetary policy, but it is less salient than the impact of housing prices. We also show that monetary policy that employs asset price as an endogenous variable increases the central bank’s control in seeking to attain its objectives. Therefore we suggest that the central bank should make asset price fluctuation an endogenous variable and incorporate it into its forward-looking interest rate rule, in order to facilitate the healthy development of China’s markets for real estate, stocks and derivatives, energy and bulk commodities and maintain rapid, smooth, sustainable and harmonious economic development.     

Is there a signalling role for public wages? Evidence for the euro area based on macro data

Do public sector wages have an influence in the determination of private sector wages? This article tries to isolate the pure signalling effect that one sector might exert on the other by controlling for other determinants of wages (prices, productivity, institutions) for the main euro area economies (Germany, France, Italy and Spain) and the periods 1980–2007 and 1991–2007. It exploits available quarterly information not yet used in the literature, and combines different data sources in the framework of mixed-frequencies time series models. The quarterly frequency of our data allows us to decompose the casual effects into purely intra-annual effects and across-years effects. Our conclusions establish the existence of purely intra-annual links between public and private sector wages (signalling effect). There is strong evidence of public wages’ leadership, either in conjunction with bi-directional links from the private sector (Spain, Italy) or pure public sector leadership (Germany and France in the sample 1991–2007). Our empirical approach allows us to also unveil a complex and rich structure of indirect links of wages with other variables (prices, productivity and institutional factors).     

How well does a dynamic Mincer equation fit NLSY data? Evidence based on a simple wage-bargaining model

This article argues that a dynamic Mincer equation can be seen as the solution of a simple wage-bargaining model between a worker and an employer where the unemployment-benefit level, affecting the outside option of the worker, depends on past wages. Further, it shows that this model provides a good fit of the US National Longitudinal Survey of Youth data. The evidence is robust to a number of sensitivity checks.     

How should firms carry out technological diversification to improve their performance? An analysis of patenting of Korean firms

This research aims to analyze how a firm's technological diversification strategies influence its financial performances, in terms of ‘technological diversification’ in broad technology sectors and ‘technological concentration’ on its own core technology, especially in the case of Korean large firms. The data used in the analysis were panel data encompassing the years between 1990 and 2006, which linked Korean firms’ patent information registered in the United States Patent and Trademark Office to the financial data of those firms collected from Korea Investors Service, Inc. (Kis-Value). For the estimation of the panel data, a fixed effect model, which considers the individual firms’ own effect on the financial performance, was used. Tobin's q was used as a dependent variable representing firm performance, while ‘broad technology diversity’ and ‘core technology diversity’ were used as the focal explanatory variables. The results show that a firm seeking to have more technological assets should invest in a broad technological diversification strategy in its search for new business opportunities; it should likewise concentrate on the core technology in order to maintain its financial performance.     

How diverse are national banking systems? An analysis on banking business models,profitability, and riskiness

In this paper, we apply an algorithm developed by Martin Weitzman to quantify the extent of diversity among the business models of financial intermediaries at an international level. In particular, we investigate the relationship between the diversity of the business models of EU national banking systems and their profitability and riskiness. We show how Weitzman's approach can be generally applied to the issue at hand; as a by-product, the analysis allows us to assess whether the diversity among banking systems was affected by the imported systemic financial crises of 2007/8 as well as its domestic sequel centered on the sovereign debt crisis that occurred in 2010–12. The motivation for this paper is twofold. First, we provide an operational measure of the diversity of business models among banking sectors. Second, we enrich the economic literature relating to banking business models by providing a macro-founded analysis. To this end, we highlight the range of diversity of national banking business models correlated with high performances in terms of profitability and riskiness.     

Do fiscal decentralization and income inequality affect the size of the shadow economy? A panel data analysis for OECD countries

In this article, we study fiscal decentralization and inequality as driving forces of the shadow economy in advanced economies. Our empirical analysis suggests that a reduction in income inequality will contain the shadow economy, whereas expenditure and tax decentralization do not significantly impact it. As decentralization is generally believed to increase government efficiency, this result is indicative of already highly efficient public administrations. Our results further indicate that redistributive policies positively affect the size of the shadow economy, whereas the tax burden does not have any discernible effect on the shadow economy in our sample.     

Predicting time to nursing home placement based on activities of daily living scores – a modelling analysis using data on Alzheimer's disease patients receiving rivastigmine or donepezil

Abstract

Objective: To quantify the impact of activities of daily living (ADL) scores on the risk of nursing home placement (NHP) in Alzheimer's disease (AD) patients.

Setting: Models predicting NHP for AD patients have depended on cognitive deterioration as the primary measure. However, there is increased recognition that both patient functioning and cognition are predictive of disease progression.

Methods: Using the database from a prospective, randomised, double-blind trial of rivastigmine and donepezil, two treatments indicated for AD, Cox regression models were constructed to predict the risk of NHP using age, gender, ADL and MMSE (Mini-Mental State Examination) scores as independent variables.

Participants: Patients aged 50–85 years, with MMSE scores of 10–20, and a diagnosis of dementia of the Alzheimer type.

Results: Cox regression analyses indicated that being female, older age, lower ADL score at baseline, and deterioration in ADL all significantly increased the risk of NHP. Over 2 years, risk of NHP increased by 3% for each 1-point deterioration in ADL score independent of cognition.

Conclusion: Data analyses from this long-term clinical trial established that daily functioning is an important predictor of time to NHP. Further research may be required to confirm whether this finding translates to the real world.     

How do oil price forecast errors impact inflation forecast errors? An empirical analysis from US,French and UK inflation forecasts

This paper proposes an empirical investigation of the impact of oil price forecast errors on inflation forecast errors for three different sets of recent forecast data: the median of SPF inflation forecasts for the United States and the Central Bank inflation forecasts for France and the United Kingdom. Mainly two salient points emerge from our results. First, there is a significant contribution of oil price forecast errors to the explanation of inflation forecast errors, whatever the country or the period considered. Second, the pass-through of oil price forecast errors to inflation forecast errors is typically multiplied by around 2 when the oil price volatility is large.     

Does international oil volatility have directional predictability for stock returns? Evidence from BRICS countries based on cross-quantilogram analysis

While numerous studies have investigated the relationship between oil volatility and stock returns, it is surprising that little research has examined the quantile dependence and directional predictability from oil volatility to stock returns in BRICS (Brazil, Russia, India, China, and South Africa) countries. We address this issue by using the cross-quantilogram model proposed by Han et al. (2016). The empirical results show that, overall, oil volatility has a directional predictability for the stock returns in BRICS countries. When the oil volatility is in a low quantile (lower than its 0.1 quantiles), it is less likely to show either a large loss or a large gain in the stock market. In contrast, there is an increased likelihood of either large loss or a large gain in the stock market when the oil volatility is in a high quantile (higher than its 0.9 quantiles). The directional predictability from the oil volatility to stock returns depends on the net position of oil imports and exports of these BRICS countries in the oil market. The net oil exporters (Russia and Brazil) are less likely to have large gains and large losses in the stock market than are the net oil importers (India, China, and South Africa) when the oil volatility is in a low quantile. The net oil exporters are more likely to have large gains and large losses than are the net oil importers when the oil volatility is in a high quantile. The results are robust to change in the variable of oil volatility and the sample interval.