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.     

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.     

Robust Markowitz mean‐variance portfolio selection under ambiguous covariance matrix

This paper studies a robust continuous‐time Markowitz portfolio selection problem where the model uncertainty affects the covariance matrix of multiple risky assets. This problem is formulated into a min–max mean‐variance problem over a set of nondominated probability measures that is solved by a McKean–Vlasov dynamic programming approach, which allows us to characterize the solution in terms of a Bellman–Isaacs equation in the Wasserstein space of probability measures. We provide explicit solutions for the optimal robust portfolio strategies and illustrate our results in the case of uncertain volatilities and ambiguous correlation between two risky assets. We then derive the robust efficient frontier in closed form, and obtain a lower bound for the Sharpe ratio of any robust efficient portfolio strategy. Finally, we compare the performance of Sharpe ratios for a robust investor and for an investor with a misspecified model.     

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

舾装作业中考虑周期驱动的虚拟单元多阶段动态调度研究

多品种小批量离散型生产企业面临的大量不确定因素会干扰其生产的连续性,其中,船舶生产由于其技术与管理特点在此类生产中具有典型性.本文将以船舶舾装生产为例,在保证设备负荷均衡及资源利用率的基础上,研究该环节的虚拟单元调度问题,以提高企业的生产效率.文章以最小运输距离为目标,在充分考虑瓶颈资源约束的基础上,构建周期驱动下分割计划期的数学模型,并以结合任务分配和时间约束的混合蚁群算法求解.通过在某船厂舾装环节的应用发现,本文所提方法能够有效降低当前舾装各作业的平均完成时间,具备可行性.     

动液面谱减法滤波

动液面滤波是油井检测动液面的关键技术之一。文章利用谱减法处理油井动液面信号,消除背景噪声的影响,并改进谱减法应用到动液面滤波,取得较好的滤波效果,从而提高对液面反射波位置的辨识能力。     

浅谈班组安全管理工作

班组安全管理是建筑施工企业安全生产管理的基础和根本。人的不安全行为是造成安全事故的直接原因,本文从培养安全意识、安全行为、安全习惯等方面入手,通过教育、制度等途径及时进行引导和约束,规避不安全行为,实现班组安全生产。