Impact of high-speed railway on urban resilience in China: Does urban innovation matter?

Based on calculating the urban resilience index from five aspects of economy, society, institutions, infrastructure, and ecology by adopting the entropy method, this study applies the time-varying DID model to systematically examine HSR's impact on China's urban resilience, on basis of which its heterogeneities and the mediating effect of urban innovation are also quantified. The findings reveal that: (1) HSR can significantly promote China's urban resilience, as supported by various robustness tests. (2) HSR can significantly improve economic and institution resilience of cities, but does not play a significant role on social resilience and infrastructure resilience, and has a negative effect on ecological resilience. (3) The driving effects of HSR on the resilience of core cities, large cities, and non-resource-based cities are more significant. (4) Urban innovation is an important channel through which HSR impacts urban resilience. The conclusions of this study can offer useful insights for China's future HSR planning and resilient cities construction.     

Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China

Entrepreneurship plays a critical role in contributing to the realization of full employment in all countries around the world. By improving the efficiency of the flow of production factors, high-speed rail (HSR) has an important impact on regional economic development. However, little is known about whether HSR has improved urban entrepreneurial activity. This paper takes the opening of HSR as a quasi-natural experiment and constructs a difference-in-differences (DID) model, using panel data on 284 prefecture-level cities in China for the period from 2005 to 2019, to systematically evaluate the impact of HSR openings on urban entrepreneurial activity. We find that the opening of HSR has increased the urban entrepreneurial activity, and that this effect is more obvious in cities at high administrative levels, with locational advantages, and highly developed economies, including service industries. HSR can enhance urban entrepreneurial activity by improving the level of talent aggregation and venture capital. These findings provide fresh perspectives on the connection between HSR and urban entrepreneurial activity.     

Does organisational capital influence environmental strategies? Evidence from environmental innovation

As a result of increasing consumer awareness and stakeholder demands about environmental management, firms face stricter challenges surrounding the impact of business operations on the environment. In this regards, environmental innovation is one of the important ways of acting in harmony with the environment. Thus, the purpose of this study is to examine the impact of organisational capital on environmental innovation measured as the process innovation and product innovation. Using environmental innovation data from ASSET4 for the US listed firms between 2002 and 2018, our empirical results reveal a significant positive association between organisational capital and both the process innovation and product innovation. Furthermore, the relationship is stronger in high-profitability and sensitive industries subsamples. These results are robust to additional control variables and endogeneity tests. This study, while endorsing the resource-based view (RBV), provides important implications for the top management teams that organisational capital could be an important channel through which managers can boost environmental innovation.     

Can innovation improve income inequality? Evidence from panel data

Income inequality is a source of social instability and armed conflict, which in turn are detrimental to economic development. This study examines the role of innovation in income inequality in twenty-three developed countries, using a panel mean group estimator that takes cross-sectional dependence into consideration. Three income inequality indicators are used: the Standardized World Income Inequality Database (SWIID), the University of Texas Inequality Project (UTIP), and the Estimated Household Income Inequality (EHII). The innovation indicators are patent applications and patents granted. The empirical results based on the common correlated effect mean group (CCEMG) reveal that innovation widens income inequality. We also investigate whether the innovation–income inequality nexus is subject to a country’s level of globalization and financial development. The findings suggest that the interaction terms between innovation with these two variables have positive effects on income inequality, whereas innovation failed to reduce income inequality. Globalization and financial development are found to drive income inequality. The empirical results are robust to different income inequality and innovation measures as well as estimation techniques.     

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.     

Does economic performance affect officials’ turnover? Evidence from municipal government leaders in China

As is well known, Chinese central government has full authority to determine the provincial and local officials’ turnover. However, China has not in detail interpreted the standards of officials’ promotions so far. In this paper, the latest database of city-level leaders for the period between 2002 and 2013 is utilized to investigate the influences of economic performance on party secretaries’ odds of being promoted. The estimation results by a panel multinomial logit method indicate that municipal annual GDP per capita is significantly positively associated with leaders’ chances of promotion. Specifically, the average GDP growth rates during leaders’ tenures have much higher effects. Moreover, some important factors of leaders’ personal characteristics also affect the political turnover. For instance, party secretaries’ connection with China’s Communist Youth League, political experience, educational level and professional expertise all have positive impacts on their chances of obtaining a promotion. In contrast, leaders’ ages and tenures are found to be negatively related to their promotion possibilities.

     

Does algorithmic trading harm liquidity? Evidence from Brazil

This paper provides the first evidence of algorithmic trading (AT) reducing liquidity in the Brazilian equities market. Our results are contrary to the majority of work which finds a positive relationship between AT and liquidity. Using the adoption of a new data center for the B3 exchange as an exogenous shock, we report evidence that AT increased realized spreads in both firm fixed-effects and vector autoregression estimates for 26 stocks between 2017 and 2018 using high-frequency data. We also provide evidence that AT increases commonality in liquidity, evidencing correlated transactions between automated traders.     

Does diversification promote systemic risk?

We measure systemic risk when faced with simulated shocks through the systemic model of banking originated losses. The formation mechanism of systemic risk is explored from the perspective of investment diversification and asset similarity. The results indicate that contagion risks formed by the over similarity of investment assets are the main cause of systemic risk. The similarity generally promotes contagion risks, however, it shows a double-faced effect for state-owned commercial banks that disperse shocks from counterparties through their too-big-to-fail advantages. The similarity is determined by diversification, which initially promotes similarity and disperses it after a threshold. The diversification acts on the contagion process of systemic risk by the mediation of the similarity. Therefore, diversification generally has a nonlinear impact on systemic risk. The results provide regulatory implications for the systemic stability of the banking system.     

Does faith move stock markets? Evidence from Saudi Arabia

This paper investigates the effects of religious beliefs on stock prices. Our findings support the viewpoint that the religious tenets have important bearing on portfolio choices of investors. It is found that Shariah-compliant stocks have higher return and volatility than their non-Shariah compliant counterparts.     

Does aging influence structural change? Evidence from panel data

Our study represents a first attempt to single out the effects of aging on the entire structure of the economy that is approximated by employment shares in different sectors. We find that even after controlling for the effects of other relevant factors - e.g., income per capita, share of trade in GDP, government consumption share in GDP, population size - aging does have a statistically significant differentiated impact on the employment shares. In particular, we find that an increase in aging exerts a statistically significant adverse effect on the employment shares in agriculture, manufacturing, construction, and mining and quarrying industries. At the same time, an increasing share of the elderly (decreasing share of the youth) in society positively affects employment shares in community, social, and personal services as well as in the financial sector.     

Can voluntary environmental regulation promote corporate technological innovation?

The impact of environmental regulation on technological innovation has been widely discussed in the academic circle. Based on the panel data of 403 Chinese manufacturing firms from 2010 to 2015, this paper explored the role of voluntary environmental regulation in technological innovation. The results showed the following: First, both voluntary environmental information disclosure and environmental management system certification had a positive effect on corporate innovation investment. Second, compared with the impact of environmental information disclosure, the impact of environmental management system certification on corporate innovation investment was more significant. Third, there was a significant positive interaction between environmental information disclosure and environmental management system certification. Finally, the effect of voluntary environmental regulation on corporate technological innovation in heavily polluting industries was stronger than that in lightly polluting industries.     

Does transaction activity predict Bitcoin returns? Evidence from quantile-on-quantile analysis

This paper uses the quantile-on-quantile regression to examine the predictive power of transaction activity for Bitcoin returns over the period from January 2013 to December 2018. We measure the Bitcoin transaction activity using trading volumes, the number of unique Bitcoin transactions, and the number of unique Bitcoin addresses. Considering the onset of structural breaks, we identify considerable effects of the heterogeneity concerning the quantiles of transaction activity, which cannot be depicted fully by the traditional quantile regression method. The empirical results show that higher transaction activity tends to predict higher/lower Bitcoin returns when the market is in a bullish/bearish state. We find that the nexus is asymmetric across quantiles, depending on the sign and size of the transaction activity, and the predictive relationship intensifies in the upper or lower quantiles of the conditional distribution. In addition, this empirical evidence is in line with the volume-return association in the equity market due to private informative and noninformative trading actions. Overall, our findings suggest that transaction activity-based strategies should be made with respect to Bitcoin market performance, specifically during extreme conditions.     

Can everyone benefit from innovation?

This paper investigates whether there is an allocation rule for which innovation never hurts anyone. Existing studies provide possibility characterizations together with efficiency and a natural participation constraint, assuming the domain of one input good and one output good in which nobody prefers to consume more of the input good than what she has. We show that this possibility result does not survive and we lead to impossibility either when (i) somebody wants to consume the input good more than what she has; or when (ii) there are multiple input goods.     

Does employment protection help immigrants? Evidence from European labor markets

High levels of employment protection reduce hiring and firing and have a theoretically ambiguous effect on the employment level. Immigrants, being new to the labor market, may be less aware of employment protection regulations and less likely to claim their rights, which may create a gap between the costs for employers of hiring a native relative to hiring an immigrant. This paper tests that hypothesis drawing on evidence for the EU and on two natural experiments for Spain and Italy. The results suggest that strict employment protection legislation (EPL) gives immigrants a comparative advantage relative to natives. Stricter EPL is found to reduce employment and reduce hiring and firing rates for natives. By contrast, stricter EPL has a much smaller effect on immigrants.     

Does Targeted Monetary Policy Matter? A Perspective from China

Several major central banks have experimented with targeted monetary policy to improve credit resource allocation. This policy only applies to ‘eligible’ banks. For example, The People's Bank of China conducted seven targeted reductions of reserve requirements during 2014–15. This article documents the phenomenon of targeted monetary policy and evaluates its effects. The results show that, in the case of China, this policy has generated an extra significant, positive return on the stocks of eligible banks, amounting to 1.2–1.3 per cent in a four‐day treatment period. This substantial return gives commercial banks an extra incentive to align with the policy goals of central banks.     

Do high-speed railways accelerate urban land expansion in China? A study based on the multi-stage difference-in-differences model

High-speed railway (HSR) have become the main transportation mode in China and a crucial contributing factor for the formation and development of urban and regional spatial structure. This study aims to investigate the effects and mechanisms of HSR on urban land expansion in China. The multi-stage difference-in-differences (DID) estimation method is used to explore the cases of 35 mega cities. The main results are presented as follows. 1) Opening HSR can positively influence urban land expansion, as evidenced by the 9.5% increase in the urban land expansion index after such opening. 2) The increase in the number of HSR station and route can accelerate urban land expansion. Each newly added station increases the urban land expansion index by 2.4%, and urban land expansion increases 4.8% when a new HSR route is added. 3) The positive effects of the opening of HSR on urban land expansion generally have a time lag of five years. 4) Compared with cities in the east, the midwestern ones are more vulnerable to the impact of HSR. The net effect of HSR on urban land expansion for midwestern cities is 10.9% higher than that for cities in the east. Furthermore, the mechanisms of the effect of HSR on urban land expansion are the industrial agglomeration effect of HSR and the incentive effect of local governments’ land finance alongside the development of HSR.     

How Does Childbirth Alter Intrahousehold Resource Allocation? Evidence from Japan*

Exploiting unique panel data that include direct measurements of resource allocation within households, we investigated the impact of childbirth on intrahousehold allocation for married Japanese couples. Based on a collective model of the household, we developed reduced‐form and structural‐form estimation equations that allow us to focus on private goods to track the changes in intrahousehold resource allocation. We found one additional child is associated with a reduction in the wife's private expenditure share by at least two percentage points. This may be because she substitutes more say in decisions on the children for her own private expenditure share.     

Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries

In this study, building a simple model that incorporates static and dynamic elements, the relationship of financial development and economic growth to environmental degradation is investigated together with the validation of the Environmental Kuznets Curve (EKC) hypothesis. Our analysis is based on an unbalanced panel data set covering the OECD countries over the period 1970–2014. Our approach thoroughly accounts for the presence of cross‐sectional dependence between the sample variables and utilizes second generation panel unit root tests in order to investigate possible cointegration relationships. The empirical findings do indicate that local (NO_x per capita emissions) and global (CO₂ per capita emissions) pollutants redefine the EKC hypothesis when we account for the presence of financial development indicators. Specifically, in the case of global pollution an N‐shape relationship is evident in both static and dynamic frameworks, with a very slow adjustment. Lastly, our study calls for a strengthening of the effectiveness of environmental degradation policies by ensuring sustainability of the OECD banking system in order to drastically reduce emissions. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Does corporatisation improve organisational commitment? Evidence from public hospitals in Indonesia

This study aims to investigate the consequences of corporatisation on organisational commitment and to explain the relationship between work values, job satisfaction and organisational commitment. The research was carried out in 54 public hospitals in East Java, Indonesia, applying a multilevel structural equation model to survey data on 1282 workers in those hospitals. Analysis suggests that the longer a hospital has been corporatised, the greater the organisational commitment of its employees. Incentives have positive and substantive association with organisational commitment, while training and resource availability do not. We found that employees in larger hospitals are more committed than those in smaller hospitals and that work values and job satisfaction have a positive and significant relationship with organisational commitment. Our findings shed light on the debate on corporatisation as a lever for improving organisational commitment in public hospitals in developing countries.     

Does competition prevent industrial pollution? Evidence from a panel threshold model

The objective of this paper is to assess the impact of competition on industrial toxic pollution by using, for the first time, a panel threshold model which allows evaluations of the main drivers of toxic releases under two different market regimes. The empirical analysis is based on a micro‐level panel dataset over the five‐year period 1987–2012. We show that this relationship is statistically significant and robust above and below the threshold, even after accounting for alternative specifications of market concentration. Specifically, we unmask an inverted V‐shaped relationship between market concentration and industrial pollution. We argue that the increasing non‐parametric regression line up to a certain concentration (threshold) level indicates a negative effect on facilities' emissions levels, whereas a decreasing line indicates a positive effect. This relationship provides new insights into environmental policy design towards abatement of industrial releases and sustainability. Finally, our empirical model remains robust under different specifications properly accounted for possible endogeneity.