How does inflation determine inflation uncertainty? A Chinese perspective

Quality & Quantity - Using a bootstrap Granger full-sample causality test and a sub-sample rolling window estimation, this paper examines the causal link between inflation and inflation...     

How does the economic policy uncertainty affect the relationship between financial slack and firm performance in emerging countries?

This study investigates the moderating effect of economic policy uncertainty (EPU) on the relationship between slack resources and firm performance in emerging countries. By using 47,523 firm-year observations from seven emerging market economies through the period of 2010–2018, the results show an inverse U-shaped relationship between slack resources and firm performance. The findings also demonstrate that EPU acts as a negative moderator for the slack–performance relationship. In high EPU environments, the marginal benefit from one additional unit of slack is smaller relative to low EPU environments. This study contributes to the slack resources-firm performance literature by emphasizing the role of the broader external environment as a moderator.     

How does FinTech affect the development of the digital economy? Evidence from China

Financial Technology (FinTech) is key to the global ascendency of China's finance, and the digital economy is a new driving force in the sustainable development and high-quality growth of China's economy. So, what is the nature of the relationship between FinTech and the digital economy. Based on the CRITIC method, this study calculates the China's 31 provinces’ (excluding Hong Kong, Macao and Taiwan) FinTech indices from 2008 to 2018 and the digital economy development indices from 2012 to 2018, and analyzes the impact of FinTech on the digital economy and its underlying mechanism. The results show that FinTech stimulates the development of the digital economy in China by promoting technological innovation and weakening the financial decentralization of local governments. Further research indicates that local financial regulatory resources have a positive moderating effect on the impact of FinTech in promoting the development of the digital economy. Increased local financial regulatory resources will enable FinTech to promote the development of the digital economy, but this regulatory role is only significant in financially developed areas. The approach of the study is relatively novel.     

How does investors' heterogeneous trust affect the complexity of financial products? A look into the development of online finance

We introduce “trusting effects” to market complexity strategy and, through modeling, measure the decision‐making behavior of financial institutions' complexity choices as online and offline finance develops into different stages. We find that the complexity of financial products is not only determined by the intrinsic value and structure of products but also largely influenced by the behavior of investors. In addition, the characteristics of financial institutions, as well as different investor structures, also affect the complexity of the products and the equilibrium. Therefore, financial institutions attempt to exploit investors' biases and cognitive limitations through complexity strategies and ultimately obtain excess returns.     

Do terror attacks affect the dollar-pound exchange rate? A nonparametric causality-in-quantiles analysis

While much significant research has been done to study the effects of terror attacks on stock markets, less is known about the response of exchange rates to terror attacks. We suggest a non-parametric causality-in-quantiles test to study whether (relative) terror attacks affect exchange-rate returns and volatility. Using data on the dollar-pound exchange rate to illustrate the test, we show that terror attacks mainly affect the lower and upper quantiles of the conditional distribution of exchange-rate returns, while misspecified (due to nonlinearity and structural breaks) linear Granger causality test show no evidence of predictability. Terror attacks also affect almost all quantiles of the conditional distribution of exchange-rate volatility (except the extreme upper-end), with the significance of the effect being particularly strong for the lower quantiles. The importance of terror attacks is shown to hold also under an alternative measure of volatility and for an important emerging-market exchange rate as well.     

How does Internationalisation affect the productivity of R&D activities in large innovative firms? A conditional nonparametric investigation

Quality & Quantity - This work explores the relationship between multinational R&D and innovation productivity among top corporate knowledge and R&D producers by adopting a...     

The implementation of monetary policy in New Zealand: What factors affect the 90-day bank bill rate?

This paper discusses the implementation of monetary policy in New Zealand and its flow-on effects on the 90-day bank bill rate over the 1999–2005 period. The effects of external factors are considered as well. Our findings indicate that the maturity spectrum ratio exerted a positive effect on the 90-day bank bill rate while the allotment ratio did not. This interest rate had a tendency to revert to the level set by its Australian counterpart, though at a relatively slow speed. No such link exists between the NZ 90-day rate and the U.S. 90-day rate. Neither the maturity spectrum nor the allotment ratio contributed to the volatility of the most important short-term interest rate in New Zealand.     

How much should an investor trust the startup entrepreneur? A network model

Trust is an important determinant of start-up financing. In a simple agent-based model it is determined what the best trusting strategy is for a collective of investors and whether it is rational for an individual investor to deviate from this collective optimum. Trust depends on a measure of social distance and is the precondition for investment. Trust increases and decreases based on whether an investor is satisfied with the interest payments received from an entrepreneur. If an investor is dissatisfied, he terminates the relation with the entrepreneur. For assessing the quality of their own investments, investors communicate with other investors in a network-like structure. I find that, as a collective, it is best for investors to compare their returns critically in order to identify unproductive entrepreneurs, but to be tolerant regarding existing links to entrepreneurs in order not to terminate profitable relations because of minor productivity drops. However, it is optimal for an individual investor to deviate from this strategy and to be less easily disappointed, but to decrease trust in larger steps. In a sense, an individual investor can free ride on the others’ critical assessment. If all investors behave according to this latter strategy, too many unproductive firms remain in the market and the average investor’s return is lower than in the collective optimum.     

How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?—An empirical research based on the fsQCA method

Urban agglomeration impacts the electricity efficiency of resource-based cities. Under the background, the paths that lead to high level electricity efficiency are not clear. Therefore, it is difficult to guide the socio-economic planning. This paper assumes that the influence of urban agglomeration includes agglomeration and diffusion effect. Then, this paper uses fuzzy-set qualitative comparative analysis (fsQCA) to explore the paths lead to high-level electricity efficiency. The process includes the measurement of electricity efficiency, the selection and quantification of action conditions, and path analysis. Four main conclusions are obtained. First, the positive impact of urban agglomeration on the electricity efficiency of resource-based cities is achieved through the optimal allocation of regional resources. Second, compared with the paths under diffusion effect, the paths under agglomeration effect are more diversified. Third, the effects of two kinds of paths are obvious: the agglomeration of non-resource-based industries to central cities and the diffusion of green production from central cities. Fourth, the diffusion of green production depends on the sustainability of resource-based cities. The research conclusion can improve the energy and sustainability policies of urban agglomerations and resource-based cities, and the improved policies will improve the efficiency of regional resource allocation and will promote the electricity efficiency and sustainability of resource-based cities.     

How does the money market development impact the bank lending channel of emerging Countries? A case from China

Transforming from quantitative-based instruments to price-based instruments is the primary goal of the monetary policy transformation in emerging economies. In essence, this process is gradually replacing the interest rate channel with the credit channel from the perspective of the monetary policy transmission mechanism, which is mainly achieved by promoting financial development to reduce the financial friction. However, there are opposite effects of financial development on the bank lending channel; thus, the topic is controversial. Using banks’ data from 2010 to 2018, this paper studies whether and how the money market development weakens the effect of the bank lending channel in China. The result shows that the mechanism through which the money market development influences the bank lending channel is realized by affecting the substitution elasticity of the asset and liability structure of banks’ balance sheets. Different from the theoretical expectation, the effect of the money market development on the bank lending channel is nonsignificant in China but appears to be weakened when the interest rate market-oriented reform is considered. However, further research based on structural analysis demonstrates that the money market development exerts heterogeneous effects on the bank lending channel under different types of sub-markets and different characteristics of the banks considered.     

How does public participation affect perceptions of public–private partnerships? A citizens’ view on push,pull, and network approaches in PPPs

ABSTRACT

In this study, we analysed US-based public opinion data to determine the influence of particular modes of participation on citizen perceptions of public–private partnerships (PPP). Our summary finding is that information dissemination can improve community support of PPPs, but interactive engagement is more important, and likely required, for assuring citizens that projects reflect their interests – an issue vital to the long-term sustainability of PPPs. Counter to expectations, respondents indicated a preference for meetings with private partner representatives over those with their public sector counterparts; implying the value of citizen-direct relationships in holding third-party providers to account.     

What does the financial market pricing do? A simulation analysis with a view to systemic volatility,exuberance and vagary

Biondi et al. (Phys A 391(22):5532–5545, 2012) develop an analytical model to examine the emergent dynamic properties of share market price formation over time, capable to capture important stylized facts. These latter properties prove to be sensitive to regulatory regimes for fundamental information provision, as well as to market confidence conditions among actual and potential investors. We comparatively assess accounting models belonging to two main families: historical cost accounting and mark-to-market (fair value) accounting regimes. Regimes based upon mark-to-market measurement of traded security, while generating higher linear correlation between market prices and fundamental signals, also involve higher market instability and volatility. These regimes also incur more relevant episodes of market exuberance and vagary in some regions of the market confidence space, where lower market liquidity further occurs.