基于动态面板数据模型分析FDI的环境效应

外商直接投资在对中国经济增长起到积极推动作用的同时,我们也不可忽视其可能会对我国环境造成的影响。文章通过构建环境污染综合指数,并且以东中西部为三个横截面建立动态面板数据模型来分析外商直接投资对各个地区环境的影响。结果显示,外商直接投资和东部中部地区的环境污染指数之间有正相关关系,和西部地区的环境污染指数之间是一个负相关关系。     

An Application of the Dynamic Network DEA Model: The Case of Banks in Taiwan

ABSTRACT

In this study, we apply the dynamic network slack-based measure data envelopment analysis model (DNSBM) to measure the efficiency of Taiwanese banks during the period 2005–11. Using the network structure, we define intellectual capital creation capability as one of the production stages. In order to capture the dynamics of the transformation process, the nonperforming loans and loan loss reserves are defined as carryover items. This study offers sufficient information for managers to understand not only the overall performance of their banks but also the efficiency of each production stage and the dynamic changes of the overall and divisional efficiencies.     

How collaborative routines improve dynamic innovation capability and performance in tourism industry? A path-dependent learning model

Current results of direct relationships between collaboration and innovation capability on performance in tourism contexts are inconsistent. This research is to uncover roles of collaborative routines on promoting relationships between internal and service innovation capabilities as two distinct mechanisms, and performance. The study also examines the contingent effect of knowledge search on performance. Survey data from 181 samples from the Thai tourism industry are gathered for analyses. Findings demonstrate that knowledge search and internal innovation capability have a direct impact on performance, whereas the effect of service innovation capability on performance is significant only in the presence of collaborative routines.     

房地产企业工程造价的管理与控制

随着国家的宏观调控,房地产市场的暴利时代已经逝去。而以定位准确、服务至上、提高品质、品牌等为核心的"价值回归"的理念,正在得到业界越来越多的关注和认同。因此,房地产行业在未来的发展过程中,如何通过工程造价的管理与控制,来提高自己的核心竞争力已是重中之重。笔者现结合实际工作的一些体会,就房地产企业在开发过程中工程造价的管理与控制谈一些个人的观点。希望能为工程造价合理、有效的管理和控制提供一定参考。     

Bond Pricing with a Time‐Varying Price of Risk in an Estimated Medium‐Scale Bayesian DSGE Model

New Keynesian model in which households have Epstein–Zin preferences with time‐varying risk aversion and the central bank has a time‐varying inflation target can match the dynamics of nominal bond prices in the U.S. economy well. The model generates a large steady‐state term spread and its fitting errors for bond yields are comparable to those obtained from a nonstructural three‐factor model, and one‐third smaller than in models with a constant inflation target or risk aversion. Including data on interest rates has large effects on variance decompositions, making investment technology shocks much less important than found in other recent papers.     

Tourism agglomeration and urbanization: empirical evidence from China

Tourism-driven urbanization presents a new way of exploring the construction of a new-type of urbanization. Consequently, the relationship between urbanization and the frequent agglomeration of tourism activities has attracted much research attention in recent years. This paper empirically investigates the influence of tourism agglomeration on urbanization using China’s provincial panel data for years 1999–2012. A panel data model with a fixed effect model and a two-step system generalized method of moments estimation is constructed to explore that influence. Results show that tourism agglomeration positively influences urbanization, and there exists a U-shaped relationship between these two variables. After capturing the dynamic nature of urbanization, we estimate the long-term tourism agglomeration elasticity in China as 0.4566. This paper provides theoretical and practical implications on urbanization of China in view of tourism agglomeration.     

A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model

This paper contributes to the growing literature on spatial prices in large heterogeneous countries. While the literatures on spatial variation and temporal movement in prices have grown in parallel, this study marks a departure by providing a unified treatment and proposing a comprehensive framework that allows both approaches. The proposed model is based on twin extensions of the household version of the “country product dummy model” by allowing for a dynamic stochastic specification and interdependence of spatial prices of geographically adjacent regions. Tests of temporal stability and regional independence of the estimated spatial prices are proposed and applied in this paper. The paper shows that the introduction of an autoregressive error process of order one, AR(1), improves the efficiency of the estimates of parameters, urban‐rural and temporal price indices under certain conditions. The Indian application points to a rich potential for using the proposed framework in cross country comparisons such as the International Comparison Program (ICP) exercises.     

Is there a profit premium for market-oriented firms? A panel data investigation

ABSTRACT

This paper provides an empirical investigation of the impact of market orientation on firms' economic performance during the period 1998–2012 using a panel of Italian manufacturing firms. We introduce a dynamic concept of market orientation, in that we define a market-oriented firm as one that persistently undertakes product and marketing innovation, while at the same time introducing organizational changes and training efforts to manage and improve its knowledge assets over the long term. This notion of market orientation is therefore crucially related to the so-called dynamic capability approach. The related empirical model shows that being a market-oriented firm significantly affects profitability, in a framework in which this latter is simultaneously estimated with productivity, thus allowing for more precise estimates of the profit premium which is earned accordingly.     

Do Cryptocurrencies Increase the Systemic Risk of the Global Financial Market?

The advance of cryptocurrencies has sparked wide concern over their interplay with the existing global financial market. This paper analyzes the risk spillover relation between cryptocurrencies and major financial assets, and unravels how cryptocurrencies could influence global financial systemic risk. We find that cryptocurrencies function as a separate risk source from traditional assets. Major legislative, financial and technological events in the cryptocurrency market may affect risk spillover dynamics. Although the overall penetration of cryptocurrencies is not yet deep, introducing cryptocurrency can significantly increase the systemic risk to traditional markets during low risk level episodes.