Volatile multinationals? Evidence from the labor demand of German firms

Does more FDI make the world a riskier place for workers? We analyze whether an increase in multinational firms' activities is associated with an increase in firm-level employment volatility. We use a firm-level dataset for Germany which allows us to distinguish between purely domestic firms, exporters, domestic multinationals and foreign multinationals. Employment in multinationals could be more volatile than employment in domestic firms if multinationals were facing more volatile demand or if they react more to aggregate developments. We therefore decompose the labor demand of firms into their reaction and their exposure to aggregate developments. We find no above-average wage and output elasticities for multinational firms.     

How different are the regional factors of high-tech and low-tech start-ups? Evidence from Japanese manufacturing industries

This paper analyzes regional determinants of the start-up ratio in the Japanese manufacturing sector. A major contribution of this study is the comparison between high-tech and low-tech industries. The empirical results using a sample of 253 industrial districts suggest that business density, weight of the manufacturing sector, and the average business size significantly influence the start-up ratio in both high-tech and low-tech industries. Distinct differences between these industries were found with regard to the effects of human capital, research institutes, and the weight of high-tech industries.

Does investor sentiment impact the returns and volatility of Islamic equities?

In this paper, we estimate generalized autoregressive conditional heteroskedasticity (GARCH) and vector autoregressive (VAR) models to examine whether investor sentiment impacts the returns and volatility of various U.S. Dow Jones Islamic equity indices. The results from GARCH estimations show that changes in investor sentiment are positively correlated with the returns of the Shari’ah-compliant market portfolio. In addition, we find similar results for the three Shari’ah-compliant firm-size portfolios (i.e., large-, medium-, and small-cap). However, this relationship is stronger for harder to arbitrage Shari’ah-compliant stocks; that is, investor sentiment has a greater influence on small-cap equities. Additionally, estimations from the vector autoregressive model confirm the aforementioned results. In terms of volatility, GARCH estimations suggest that bullish shifts in investor sentiment in the current period are accompanied by lower conditional volatility in the ensuing period. In general, our findings suggest that as noise traders create more risk the market seems to reward them with higher expected returns.     

Does financial regulation affect the profit efficiency and risk of banks? Evidence from China's commercial banks

The goal of financial regulation is to enable banks to improve liquidity and solvency. Stricter regulation may be good for bank stability, but not for bank efficiency. This research aims to examine whether banks have met the CBRC's standard of financial regulations and explores how the previously implemented financial regulations have affected bank efficiency and risk in the past. In addition, we also explored the trade-off relationship between efficiency and risk. Unlike other studies, this study used bank assets as a classification standard from the financial risk and differential regulatory perspective.The empirical results indicate that the CBRC regulates the provision coverage ratio and cost-to-income ratio, which seems relevant to large banks and the loan-to-deposit ratio, capital adequacy ratio, and leverage ratio, which seems relevant to small banks. The CBRC regulates the current ratio to reduce the risks of banks. Based on our empirical results, the current ratio did not affect the risks and led to different efficiency results between large and small banks. In an environment with asymmetric information, a bank decision-making is unobservable. The characteristics of financial regulation provide market clues if a bank is operating at the most efficiency and risk condition.     

Trading and non-trading period realized market volatility: Does it matter for forecasting the volatility of US stocks?

We study the potential merits of using trading and non-trading period market volatilities to model and forecast the stock volatility over the next one to 22 days. We demonstrate the role of overnight volatility information by estimating heterogeneous autoregressive (HAR) model specifications with and without a trading period market risk factor using ten years of high-frequency data for the 431 constituents of the S&P 500 index. The stocks’ own overnight squared returns perform poorly across stocks and forecast horizons, as well as in the asset allocation exercise. In contrast, we find overwhelming evidence that the market-level volatility, proxied by S&P Mini futures, matters significantly for improving the model fit and volatility forecasting accuracy. The greatest model fit and forecast improvements are found for short-term forecast horizons of up to five trading days, and for the non-trading period market-level volatility. The documented increase in forecast accuracy is found to be associated with the stocks’ sensitivity to the market risk factor. Finally, we show that both the trading and non-trading period market realized volatilities are relevant in an asset allocation context, as they increase the average returns, Sharpe ratios and certainty equivalent returns of a mean–variance investor.     

Does the professionalism of management practices in nonprofits and for-profits affect job satisfaction?

This paper examines workers' satisfaction related to the level of professionalism of managerial practices in the French services sector. The data used are from the original survey conducted by the French Institute for Demographic Research and include both workers' responses on their satisfaction level, individual characteristics, job conditions, etc. and employers' responses on managerial practices implemented. We construct an index of workers' overall satisfaction and an index of ‘managerial professionalism’. In our model of workers' overall job satisfaction, the index of managerial practices is treated as an endogenous variable using two-stage least squares regressions. We show that the index of managerial practices is strongly and positively associated with workers' overall workplace satisfaction. Overall workplace satisfaction is found to be strongly associated with wages and individuals' perceptions about work environment. Finally, working in nonprofits is positively associated with greater overall job satisfaction.     

Does federal financial aid affect college enrollment? Evidence from drug offenders and the Higher Education Act of 1998

In 2001, amendments to the Higher Education Act made people convicted of drug offenses ineligible for federal financial aid for up to two years after their conviction. Using rich data on educational outcomes and drug charges in the NLSY 1997, we show that this law change had a large negative impact on the college attendance of students with drug convictions. On average, the temporary ban on federal financial aid increased the amount of time between high school graduation and college enrollment by about two years, and we also present suggestive evidence that affected students were less likely to ever enroll in college. Students living in urban areas are the most affected by these amendments. Importantly, we do not find that the law deterred young people from committing drug felonies nor did it substantively change the probability that high school students with drug convictions graduated from high school. We find no evidence of a change in college enrollment of students convicted of non-drug crimes, or of those charged by not convicted of drug offenses. In contrast to much of the existing research, we conclude that, for this high-risk group of students, eligibility for federal financial aid strongly impacts college investment decisions.     

Does government funding promote or inhibit the financialization of manufacturing enterprises? Evidence from listed Chinese enterprises

This study examines how government funding type affects the financialization of manufacturing enterprises in China and discusses the different impacts of environmental factors. Funding for production can induce managers to increase expenses and reduce main business income by assigning social objectives, promoting corporate financialization. However, state-owned enterprises (SOEs) may suffer from soft budget constraints and ignore short-term revenue; enterprises in competitive industries tend to hold cash for precautionary motivation. Therefore, their financialization is insensitive to government funding. In addition, funding for interest can inhibit corporate financialization by increasing debts for non-SOEs and those with financial background employees or facing strong financing constraints, because they are lacking in capital or sensitive to financial risks.     

Self-employment and business cycle persistence: Does the composition of employment matter for economic recoveries?

Self-employment comprises an important share of employment in many countries, and tends to expand during downturns through higher inflows from unemployment. Furthermore, countries with higher self-employment shares exhibit lower cyclical output persistence. I build a business cycle model with frictional labor markets where individuals can be self-employed or salaried employed. I show that economies with larger self-employment shares exhibit faster economic recoveries. Differences in the ease of entry into self-employment as the economy recovers explain the contrasting cyclical dynamics. The model successfully captures the cyclical patterns of self-employment and the relationship between self-employment and output persistence in the data.     

How does a firm’s management of greenhouse gas emissions influence its economic performance? Analyzing effects through demand and productivity in Japanese manufacturing firms

This paper analyzes how a firm’s management of greenhouse gas (GHG) emissions affects its economic performance. The theoretical model we derive from Cobb–Douglas production and inverse demand functions predict that in conducting GHG emissions management, a firm will enhance its economic performance because it promotes an increase in demand for its output and improves its productivity. The estimation results, using panel data on Japanese manufacturing firms during the period 2007–2008, support the view that a firm’s GHG emissions management enhances a firm’s economic performance through an increase in demand and improvement in productivity. However, the latter effect is conditional. Although a firm’s efforts to maintain lower GHG emissions improves productivity, efforts to reduce GHG emissions further does not always improve it, especially for energy-intensive firms. Because firms attempting to maintain lower GHG emissions are more likely to improve their productivity, there is a possibility that firms with high GHG emissions can also enhance economic performance by reducing their emissions in the long term, even if additional costs are incurred. In addition, better GHG emissions management increases the demand of environmentally conscious customers because a product’s life cycle GHG emissions in the upper stream of the supply chain influence those in the lower stream, and customers evaluate the suppliers’ GHG emissions management in terms of green supply-chain management.     

Is the Quarter of Birth Endogenous? New Evidence from Taiwan,the US,and Indonesia

Recent evidence based on US data suggests that the quarter or month of birth (QOB or MOB) may be endogenous, since family characteristics can explain up to 50% of the effects of QOB on the education outcomes and earnings of adult males. In this study, based on a sample of one million Taiwanese siblings, we examine university admission at age 18 as our outcome variable and find that at school entry, the oldest (September born) children are 31–38% more likely to be admitted into university at age 18 than the youngest (August born) children, indicating strong seasonality in university admission. The inclusion of controls for family background is found to explain only a small portion of these effects, particularly for males. Given that such results are at odds with the recent US evidence, we revisit the US Census data and find that when racial differences are properly controlled for in the estimation, even a rich set of family characteristics is capable of explaining only a minor proportion of the QOB effects. Furthermore, using data from the US and Indonesia, we find that seasonal temperature variation is unlikely to be an important contributor to the US‐Taiwan disparity. Our findings imply that the validity of using QOB or MOB as an instrumental variable may be dependent on the population being studied and the sample selected.     

Does sport affect the competitiveness of European Union countries? An analysis of the degree of innovation and GDP per capita using linear and QCA models

The sport industry has experienced great growth in recent years worldwide, and especially in the European Union (EU) countries. However, despite the role that this industry can play in improving the competitiveness of these countries (Gross Domestic Product (GDP) per capita and innovation performance), no studies have been found that analyse its influence. So, the main aim of this study is, firstly, to analyse the relationship between the innovation performance and the GDP per capita of EU countries, and, secondly, to find out how sport-related indicators and different innovation-related indicators influence the innovation performance and GDP per capita of the EU countries. To this end, two different methodologies have been used: hierarchical regression models and qualitative comparative analysis (QCA). A total sample of 23 EU countries have been analysed. The results show that GDP per capita and innovation performance are highly correlated in a positive and significant way (0.76; p?<?.0001), and that the variables related to sport help explain the variance of these two variables, highlighting as necessary variable in both cases the growth in the sports sector (consistency >0.90). Finally, a number of practical implications are presented that can help policy makers to improve the competitiveness of EU countries.

     

Does the configuration of macro‐ and micro‐institutional environments affect the effectiveness of green supply chain integration?

Despite the importance of the general environment in affecting the effectiveness of green supply chain integration (GSCI), our understanding of the roles of different configurations of macro‐ and micro‐institutional environments remains limited. Based on institutional theory and resource mobilization theory, this study examined the moderating effects of the configurations of macro‐ and micro‐institutional environments on the GSCI performance link employing both a configuration and a contingency perspective. Our findings from a longitudinal survey of 206 Chinese manufacturing firms provide empirical evidence for the coexistence and nature of macro‐ and micro‐institutional environments and their moderating effect on the GSCI performance link. Specifically, the results revealed that Chinese manufacturers can be clustered into three groups with different macro‐ and micro‐institutional environments (i.e., cognizant, sensible, and conscious manufacturers). Furthermore, the configuration of macro‐ and micro‐institutional environments moderates the effect of green supplier integration on social performance, as well as the effects of green customer integration on financial, environmental, and social performance. This study contributes to both the GSCI literature and practices.     

Does lending behaviour of banks in emerging economies vary by ownership? Evidence from the Indian banking sector

While much has been discussed about the relationship between ownership and financial performance of banks in emerging markets, literature about cross-ownership differences in credit market behaviour of banks in emerging economies is sparse. Using a portfolio choice model and bank-level data from India for 9 years (1995–96 to 2003–04), we examine banks’ behaviour in the context of credit markets of an emerging market economy. Our results indicate that, in India, the data for the domestic banks fit well the aforementioned portfolio-choice model, especially for private banks, but the model cannot explain the behaviour of foreign banks. In general, allocation of assets between risk-free government securities and risky credit is affected by past allocation patterns, stock exchange listing (for private banks), risk averseness of banks, regulations regarding treatment of NPA, and ability of banks to recover doubtful credit. It is also evident that banks deal with changing levels of systematic risk by altering the ratio of securitized to non-securitized credit.     

Organic versus cosmetic efforts of the quality of carbon reporting by top New Zealand firms. Does market reward or penalise?

This study explores the quality of carbon reporting (QCR) by New Zealand (NZ) firms and its changes over time. It also explores the impact of QCR on the market reputation of firms. Using a sample of 300 company-year observations between 2015 and 2020 from top listed firms of NZ, the study develops a 14-item QCR index. The study finds that the company-level QCR reporting by NZ firms overall is not praiseworthy, as firms need to improve QCR in many aspects (both in-house efforts as well as external reporting). Although QCR has increased over time, firms' QCR efforts cannot be treated completely authentic. Majority of firms in NZ have disclosed unaudited carbon information to investors and other stakeholders. Additionally, our study finds that QCR positively affects the market reputations of firms, and the market behaves accordingly. Specifically, firms' organic carbon efforts are paid-off (through increased market reputation) by the market players and cosmetic/decoupled behaviour is penalised (through decreased market reputation). This study is the first on QCR reporting using a sample of NZ firms and an account of their initiatives towards the carbon emission reduction initiative and related disclosures. The study's findings have policy implications.     

Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach

This study examines the asymmetric multifractality and the market efficiency of the stock markets in the countries that are the top crude oil producers (USA, KSA, Canada and Russia) and consumers (Brazil, China, India, and Japan) using an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) method. The results show evidence of an asymmetric multifractal nature for all markets. Moreover, the multifractality is stronger in the upward movement of the market returns, except in China. The degree of efficiency of the stock markets is shown to be time-varying and experienced a decrease during the 2008 global financial crisis (GFC), but an upside trend occurred during the recent oil price crash followed a significant decline during COVID-19. The stock markets have an anti-persistent feature during GFC and COVID-19, whereas they exhibit a long-term persistent feature during oil price crash. More interestingly, the efficiency of the stock markets of crude oil producers is lower in general than that of oil consumers. Furthermore, the efficiency of the stock market is lower in the downward movement of the market returns than in the upward movement. Asymmetry and oil price uncertainty index are the key driver of the stock markets and can serve as predictor of the stock market dynamics of top oil producers and top oil consumers particularly during COVID-19 and oil price crash.     

Does Monetary Aid Catalyse New Business Creation? Analysing the Impact of Global Aid Flows on Formal and Informal Entrepreneurship

Official development aid – monetary transfers to developing countries to promote social and economic development – reached more than $140 billion in 2016. However, traditional forms of government bilateral aid continue to decline, while private aid is rising. Nevertheless, the impact of this aid, including its potential to stimulate economic development through new business formation, remains uncertain. In this study, we examine the impact of three sources of monetary aid flows on formal and informal entrepreneurship. Drawing from the international political economy literature we argue that bilateral aid and private aid are associated with higher levels of informal entrepreneurship, while multilateral aid is accompanied by lower levels. Moreover, we show that bilateral and private aid are linked with lower levels of formal entrepreneurship, while multilateral aid has no impact. The analyses of a panel of 313 observations from 49 countries provide robust support for these arguments.