基于快铁融合的上海铁路集装箱快运站选址研究

快铁融合可以充分发挥快递企业和铁路运输的优势,有效提升物流作业效率,达到运输资源分配平衡的效果,是多元化运输的发展方向。在既有和计划建设的铁路货运站中选择铁路集装箱快运站与快递企业集散网络衔接,以快递企业时间满意度和集散运输成本为目标,构建基于时间满意度的铁路集装箱快运站选址模型,以上海铁路集装箱快运站为例进行实证分析,提出保证铁路集装箱快运站与快递企业合理衔接的对策,为铁路集装箱运输融入快递市场提供决策支持,加速快铁融合的实施。     

The income inequality,financial depth and economic growth nexus in China

Income inequality has increased in China despite rapid economic growth. Income inequality could impinge on future development, leading to social tension or political instability. Our study investigates the short-run and long-run relationship between three important macroeconomic indicators—income inequality, economic growth and financial depth. We utilise a two-step procedure of ARDL bounds and Granger causality for the analysis. The bounds test indicates the presence of a cointegrating relationship between income inequality, financial depth and economic growth in the long run. In the second step, we utilise the Granger causality approach. Results show a bidirectional causality between financial depth-growth and a unidirectional causality between inequality-growth in the short run. In the long run, results reveal that growth and financial depth determine Gini. Our findings provide support for the inequality-widening effect due to economic growth and higher credit provided to the private sector. We find no evidence of inequality-narrowing or income-equalising effect in the long run for the period of study. It is possible that the government's inclusive growth policies which started less than a decade ago have not taken effect for us to capture the inverted U-shape income equalising effect significantly.     

Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China

It is difficult to predict the financial distress of unlisted public firms due to their longer disclosure cycle of accounting information and more inadequate continuity of market trading information compared to listed firms. In this paper, we propose a framework to predict the financial distress of unlisted public firms using current reports. Specifically, to better represent the meaning of current report texts, we propose a semantic feature extraction method based on a word embedding technology. Empirical results show that current reports contain more effective information for predicting the financial distress of unlisted public firms compared with periodic reports. In addition, semantic features extracted using our proposed method significantly improve the predictive performance, and their enhancing effect is superior to that of topic features and sentiment features. Our study also provides implications for stakeholders such as investors and creditors.     

Innovative Credit Guarantee Schemes with equity-for-guarantee swaps

Small and medium-sized enterprises (SMEs) faces much more severe financial constraints compared to large mature companies and it is more vulnerable to market imperfection. To alleviate SMEs’ financial constraints, Public Credit Guarantee Schemes (CGSs) have been introduced and widely used around the world. Having provided a thorough analysis of the effectiveness of the traditional CGSs, we introduce an innovative financing contract, referred to as equity-for-guarantee swap (EGS), with the aim of reducing SMEs’ financial constraints in a more effective way. We show that EGS effectively alleviates SMEs’ severe financial constraints as it transfers the information asymmetry between lenders and SMEs to that between insurers and SMEs We investigate how asset prices vary across time under the EGS contract and analyze insurers’ risk exposure, i.e. value-at-risk (VaR) and expected shortfall (ES), of participating in the EGS contract. Consistent with pecking order theory, SMEs tend to use debt financing first dispite the benefit of a boosted growth rate from private equity financing in our model.     

The impact of non-performing loans on bank lending in Europe: An empirical analysis

In the aftermath of the global financial crisis, considerable attention has been paid to the accumulation of non-performing loans in the balance sheet of European banks and to its potential negative effects on bank lending to the real economy. Using a dataset composed of bank-specific information and country aggregates, we study the impact of the stock and the flow of non-performing loans on the lending activities of a sample of 75 European banks between 2014 and 2018. In general, higher rates of non-performing loans, together with other variables, are associated with lower growth rates of performing loans. This effect persists across several econometric specifications and is more significant for those banks exhibiting lower growth rates of performing loans. Similarly, our econometric analysis suggests that banks with higher decreases in their rate of non-performing loans tend to lend more to the real economy, an effect which is particularly intense at the right tail of the distribution. The findings of our paper can be useful for policymakers when addressing the resolution of non-performing loans in banks.     

How does corporate social responsibility affect financial performance,financial stability,and financial inclusion in the banking sector? Evidence from Pakistan

This paper examines the impact of corporate social responsibility (CSR) on the financial performance, financial inclusion, and financial stability of the banking sector, focusing on annual data for 20 Pakistani commercial banks for the period 2008–2017. The results suggest that CSR, as well as age and size, has a positive impact on all three factors. However, high levels of leverage reduce financial inclusion and financial stability, while financial inclusion is also negatively associated with the tangibility of assets.     

Destabilizing role of futures markets on North American hard red spring wheat spot prices

The objective of the paper is to determine if the futures prices of hard red spring wheat (HRSW) have stabilizing or destabilizing impact on spot HRSW price in North America. Several important results emerge from thorough empirical analysis. First, both Granger causality tests and directed acyclic graph algorithms (DAGs) point to two-way causality between futures and spot HRSW prices and thus endogeneity in both prices formation. To the contrary, both procedures suggest that ending stocks are exogenous to spot and futures HRSW prices. Both vector error correction model and impulse response functions point to a large and long-lasting impact of a shock to futures price on spot price level. Finally, variance decomposition analysis indicates that futures prices are responsible for the bulk of spot price volatility in both short and long run. Our result is consistent with those of theoretical models suggesting that when production (supply side) is the dominant disturbance, spot price is destabilized in both the short and the long run by futures prices. An important implication of this research is the need for alternative market mechanisms or alternative farm policy measures that would mitigate price risk and ensure sustainable farming of American HRSW farmers.     

Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging

In this paper we analyse the determinants of Japanese outward FDI stock for the period 1996–2017. This period is especially relevant as it covers a process of increasing economic globalization and two financial crises. To this aim, we consider a large set of candidate variables based on the theory as well as on previous empirical analysis. Our sample includes a total of 27 host countries. We select the covariates using a data-driven methodology, the Bayesian Model Averaging (BMA) analysis. Moreover, we also analyse whether these determinants change depending on the degree of development (emerging vs developed) or the geographical areas (EU vs East Asia) of the countries considered. We find that Japan's FDI can be explained by a wide variety of variables, that include not only the typical gravitational ones but also institutional and macroeconomic variables, including those that measure financial development. Moreover, Japanese FDI can be explained by both horizontal and vertical FDI motives in the groups of countries analysed. However, in developed, and more precisely, EU countries, horizontal FDI strategies are predominant, whereas for East Asian and emerging countries, there is more evidence in favour of vertical FDI.     

There is no smoke without a fire: The effect of government interventions in less advanced economies

The lack of liquidity in the interbank market during the crisis of 2007–2011 led governments to impose different policies to rescue their countries’ banking sectors. While in advanced countries interventions in the banking sector were mostly related to a lack of liquidity and significant asymmetric information regarding counterparty risk, in many less advanced countries they had a precautionary motive. In our article, we investigate the effectiveness of policy interventions on healthy banking markets, with possible negative spill-over effects from other countries. To this extent, we use an event study methodology to test the effect of liquidity and financial sector policy announcements on interbank spread changes in six Central and Eastern European (CEE) countries over the period between 2007 and 2011. We find that standard liquidity interventions did not provide effective stabilization. In fact, our evidence suggests that the spread widened after their announcement, probably as a result of the negative signal and consequently increased risk aversion of banks. In such situations, regulators should consider policy instruments that aim to decrease uncertainty in the market.     

Drivers of management control systems in tourism start-ups firms

This study examines the use of Management Control Systems (MCS) in travel and tourism start-ups. The study empirically examines 176 European tourism start-ups; data are collected via an online survey of start-up CEOs, and supplemented by financial statements of early-stage tourism firms. The results show that travel and tourism start-ups use formal systems for management control. We observe a relationship between the usage of these systems with specific internal and external environment characteristics. Finally, the results show that the historical financial performance of travel and tourism start-up firms affects MCS usage.