银行危机与货币危机共生性关系的实证研究

1 997— 1 998年的亚洲金融风暴中 ,银行危机与货币危机的同时爆发 ,即共生性危机的发生引发国际社会与学术界对这种现象的重新思考 :这种共生性现象是否确实具有普遍性 ?从理论的角度来看 ,银行危机与货币危机之间的确存在着一定的联系 ,但到目前为止 ,很少有研究从实证的角度来证明这种联系的确存在。正是基于此 ,本文从实证的角度出发 ,旨在揭示出银行危机与货币危机之间的确存在着相互影响 ,换言之 ,共生性危机的发生是具有显著性的。具体来说 ,本文以 1 975— 2 0 0 0年期间 53个国家危机的发生情况为研究对象 ,分别运用频率分布、信号法 ,以及概率回归模型来分析两种危机的共生性 ,并得到非常一致的结论 :在新兴市场国家中 ,银行危机与货币危机之间的确存在着明显的相互关系 ,同时银行危机更趋向于作为货币危机即将发生的同步或预警指标 ,而反之则不然。     

How supply chain architecture and product architecture impact firm performance: An empirical examination

In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research.     

The future of India's obsolete dams: Time to review their safety and structural integrity

India has built over 5000 large dams till date to boost electric power and to enhance irrigated agriculture. In spite of this big dam building venture, India lacks expertise in decommissioning old dams. As a matter of fact, India has more than 500 large dams that were built 50 years ago, and 100 of them have passed over a century. This article analyses the existing facts on India's outdated dams, their safety matters and recommends future strategies to safeguard the large dams from potential future threats.     

Spillovers among CDS indexes in the US financial sector

By employing the robust cross-correlation function approach proposed by Hong (2001), and conducting pre-tests for structural breaks in the variances as well as removing the causality-in-mean effects in the causality-in-variance tests, we investigate volatility and mean transmissions between the credit default swaps (CDS) indexes of three US financial sectors. We use daily series on five-year banking, insurance, and financial services sector CDS indexes at the sector level from January 2004 to December 2011. We find evidence of significant causality-in-mean effects running from the banking sector to the insurance and financial services sector CDS indexes and from the financial services to the insurance sector CDS indexes, suggesting the leading role of the banking and financial services sectors in terms of price discovery. Moreover, we find significant causality-in-variance effects from the financial services sector CDS index to that of the banking sector, implying the existence of information transmission and contagion from the former, the least regulated of the three. The implications of these findings on traders and policymakers are also provided.     

Do TFP and the relative price of investment share a common I(1) component?

Results from cointegration tests clearly suggest that TFP and the relative price of investment (RPI) are not cointegrated. Evidence on the alternative possibility that they may nonetheless contain a common I(1) component generating long-horizon co-variation between them crucially depends on the fact that (i) structural breaks are, or are not allowed for, and (ii) the precise nature and timing of such breaks. Not allowing for breaks, evidence points towards the presence of a common component inducing positive long-horizon covariation, which is compatible with the notion that the technology transforming consumption goods into investment goods is non-linear, and the RPI is also impacted upon by neutral shocks. Allowing for breaks, evidence suggests that long-horizon covariation is either nil or negative.Assuming, for illustrative purposes, that the two series contain a common component inducing negative long-horizon covariation, evidence based on structural VARs shows that this common shock (i) plays an important role in macroeconomic fluctuations, explaining sizeable fractions of the forecast error variance of main macro series, and (ii) generates ‘disinflationary booms’, characterized by transitory increases in hours, and decreases in inflation.     

Hong Kong's growth synchronization with China and the US: A trend and cycle analysis

This paper investigates the synchronization of Hong Kong's economic growth with mainland China and the US. We identify trends of economic growth based on the permanent income hypothesis. Specifically, we first confirm whether real consumption in Hong Kong and mainland China satisfies the permanent income hypothesis, at least in a weak form. We then identify the permanent and transitory components of income of each economy using a simple state-space model. We use structural vector autoregression models to analyze how permanent and transitory shocks originating from mainland China and the US affect the Hong Kong economy, and how such influences evolve over time. Our main findings suggest that transitory shocks from the US remain a major driving force behind Hong Kong's business cycle fluctuations. On the other hand, permanent shocks from mainland China have a larger impact on Hong Kong's trend growth.     

Impact of the Sloping Land Conversion Program on rural household income: An integrated estimation

The objective of this study is to identify the pathways of the potential impacts of the Sloping Land Conversion Program (SLCP) on household income and quantify these impacts along the identified pathways. We fulfill this objective by developing an integrated analytic framework and using data collected from Wuqi county of Shaanxi for the period 2004–2010. This integrated analytic framework enables us to formulate a structural equation model for testing hypotheses regarding the direct and indirect impacts of the SLCP. It is found that the direct effect of the SLCP on household income is positive but very small and insignificant, suggesting that retiring cropland has, at least, not reduced income from farming. Moreover, the SLCP has had a much higher and even increasing indirect impact on household income through promoting labor transfer and relaxing liquidity constraints. Overall, the SLCP's total impact on household income ranged from 3% in 2004 to 9% in 2010 excluding the insignificant direct impact. The research and policy implications of our work are discussed.     

Application of structural equation modelling for estimating airline performance

Structural equation modelling (SEM) is an estimation method that can handle a large number of exogenous and endogenous factors as well as unobserved (latent) variables that are specified as linear combinations of observed (measurement) factors. This paper presents a SEM procedure with latent variables for estimating the financial and non-financial performance in airline companies. The model includes independent, mediator and dependent latent variables. The sample for this research comprises 214 airline companies. The results indicate that the model is capable of estimating performance with respect to the economic situation and it has also been determined that two types of constructs affect performance. One type is the economic situation acting as an initial construct and the other is the internal operation acting as the mediator in the research model.     

Is green growth relevant for poor economies?

To be relevant to developing countries, green growth must be reconciled with the two key structural features of natural resource use and poverty in these countries. First, primary products account for the majority of their export earnings, and they are unable to diversify from primary production. Second, many economies have a substantial share of their rural population located on less favored agricultural land and in remote areas, thus encouraging “geographic” poverty traps. If green growth is to be a catalyst for economy-wide transformation and poverty alleviation in developing countries, then it must be accompanied by policies aimed directly at overcoming these two structural features. Policies and reforms should foster forward and backward linkages of primary production, enhance its integration with the rest of the economy, and improve opportunities for innovation and knowledge spillovers. Rural poverty, especially the persistent concentration of the rural poor on less favored agricultural lands and in remote areas, needs to be addressed by additional targeted policies and investments, and where necessary, policies to promote rural-urban migration.