矿产投资项目的社会综合评价分析

在论述当今基于投资项目评价原理的基础之上,探讨了社会综合评价主要因素的分析过程。针对某大型矿产投资项目,采用了多层次模糊综合评价,构建出了相应的评价指标体系,并对其进行了社会综合评价,经过系统、合理的定量化方法论证,得到了一个科学、全面的评价参考结果。     

房地产投资风险的模糊综合评价的研究

根据房地产投资风险指标体系的层次性,评价标准.评价因素存在的模糊性,以及定性指标难以定量化等一系列问题,论文采用模糊评价法对房地产投资风险进行评价,同时吸取混合评价法的思想,融入模糊层次分析法确定风险因素权重,最终建立了模糊综合评价模型.     

模糊优选模型在区域招商项目决策中的应用

近年来民间资本参与区域项目投资的势头日益强劲,投资规模逐年增大,投资领域不断拓展。招商成为全国各地区尤其是经济欠发达地区政府工作的重点,项目的招商是一项十分重要和复杂的工作,能否在众多备选项目中选择合理的投资项目会直接影响到项目招商的顺利与否。这其中有很多因素不是可以定量表述的,针对此类因素的方案优选,本文引进用模糊评价的方法,将模糊因素予以量化,进而达到方案优选的目的。项目方案要与实际背景紧密联系,需要建立多层次或单层次的评价指标体系,本文仅就单层次指标的模糊综合评价问题加以讨论。     

房地产信托风险水平评价方法研究

房地产信托项目风险受多方面因素综合影响很难将定性的指标定量化,导致评价标准和因素影响程度存在一定模糊性和不确定性。本文采用层次分析法与模糊综合评价法判断项目的风险,做到定性和定量因素相结合,使评估结果更加科学合理。     

基于层次分析法的工程项目风险研究

工程建设项目由于投资大、工期长,在建设过程中不可预见的因素也比较多,投资方不可避免地面临着各种风险。本文将层次分析法引入到建设工程项目风险决策过程中,并通过对某建筑公司实际项目运作实例进行实证研究,利用层次分析法和模糊综合评价法将风险因素定量化来分析项目风险的大小。研究表明,层次分析法能够对项目风险进行具体分析、测算和风险评价,是一种解决工程项目风险问题的有效方法。     

虚拟组织项目后评估体系研究

进行虚拟组织项目后评估,从根本上来说是为了提高虚拟组织的决策和管理的科学性。结合虚拟组织项目后评估的作用、特点,构建了虚拟组织项目后评估体系,综合运用层次分析法和模糊综合评价法进行研究,并使评价结果定量化。     

投资项目经济效益评价模型研究

构建投资项目经济效益评价的指标体系,将投资项目经济效益的定性评价转化为定量评价,利用Fuzzy统计方法确定各指标的权重,建立了投资项目经济效益评价的模糊综合评价模型,并编出模型的计算机程序和软件,实现了投资项目经济效益评价的计算机操作.     

投资项目经济效益评价模型研究

构建投资项目经济效益评价的指标体系,将投资项目经济效益的定性评价转化为定量评价,利用Fuzzy统计方法确定各指标的权重,建立了投资项目经济效益评价的模糊综合评价模型,并编出模型的计算机程序和软件,实现了投资项目经济效益评价的计算机操作。     

模糊综合评判法在房地产住宅小区投资环境评价中的应用

本文以层次分析法模型和模糊数学模型为技术,针对房地产项目中的住宅小区投资环境进行了定量化的分析,建立了投资环境的模糊综合评判数学模型,并给出了一个具体的实例分析。     

基于模糊评价法的水利工程项目风险研究

水利工程从本质上说是一个复杂性系统工程。该系统工程的建设隐藏着大量的风险,而对该系统工程进行有效分析以及综合评价是该系统工程顺利进行的关键。但由于水利工程项目的很多风险因素不能定量化,本文将通过模糊评价法对该水利工程项目进行综合评价。     

基于因子分析法的钢铁行业上市公司投资价值分析

在目前股票市场上,钢铁企业的投资价值倍受广大股民关注.通过运用因子分析方法,对上市钢铁公司的财务指标进行分析,明显看出上市公司业绩主要受三个具有一定含义的因子影响.通过对三个因子分析发现,这三个因子有利于投资者对上市公司的财务状况能够有一个明确、简洁和清晰的认识,使他们能够对股票作出正确的评价,在实际应用中,授资者还可结合财务报表的原始数据作出自己正确和明智的判断.     

合资企业“独资化”的博弈分析

外商在华投资出现的独资化趋势,是基于中国加入WTO后国内投资环境和投资前景的变化、中外合资双方核心优势的得失变化等多种因素促成的结果,并不以东道国单方面的意志为转移。分析决定外商投资者在投资过程中采取何种投资形式的决定因素,并结合博弈论分析这些因素的变化是如何影响投资者对其投资形式的选择,从四个角度解释了合资企业的不稳定性原因,针对这一情况提出了积极的应对措施。     

Analysis of Domestic Factors Affecting Outward Foreign Direct Investment in Brazil

Developing markets have increasingly gained prominence in the world economy, but the domestic factors behind this success are not well established. This uncertainty may interfere with multinational expansion plans. In this article, we examine several macroeconomic and institutional factors affecting Brazilian outward foreign direct investment in 17 destination countries. We applied a pooled ordinary least squares regression over the 2001–2014 period. The findings suggest that macroeconomic factors are still statistically significant to explain investment abroad, but several institutional factors such as corruption have emerged, having a negative effect and political violence having a positive effect on Brazilian outward foreign direct investment.     

An Analogy Explanation for the Evaluation of Entrepreneurial Opportunities

Entrepreneurs evaluate opportunities under conditions of uncertainty; they make judgments. To understand these evaluations, I develop an analogical model that represents an entrepreneurial opportunity in the mind of an individual. The model proposes that an opportunity is an analogical knowledge transfer from a source business domain to a target business domain. According to the model, the cognitive distance between the domains influences the opportunity evaluation. Additionally, the inspiration behind the analogy construction influences the opportunity evaluation. The empirical design employs a hypothetical scenario experiment and the results show that the two analogical properties matter for evaluation.     

Are green bonds priced lower than their conventional peers?

The green bond market's rapid growth has alerted issuers and investors to this sustainable area of investment. This study ascertains whether green bonds are priced lower than conventional bonds—whether a negative green bond premium exists in both Chinese and global bond markets—and the driving forces behind any such green bond premium. First, an event study is set up to observe stock market's reaction upon issuance of green bonds to test whether green bonds are embedded with additional value by improving the issuer's equity market performance. Then, using the matching method and a two-layer regression process, the study estimates the green bond premium in the Chinese and global markets, respectively, and analyses factors affecting the green bond premium. The event study reveals that green bond issuance could reduce the issuer's equity return performance. The regression models found no significant negative green bond premium in either Chinese or global markets, indicating that green bonds are not priced significantly lower than conventional bonds. However, global market models show that issuing green bonds in CNY could reduce the green bond premium, unlike in USD or EUR.     

风险投资国际化影响因素研究综述

风险投资长期以来被视为是一项高度本土化的行为,但是近年来越来越多的风投机构开始走出国门进行远距离的跨境投资。这一现象引起了学者们的极大兴趣,许多学者开始致力于考察跨境风险投资的动因,即为什么本土化特征如此明显的风险资本开始热衷于进行跨越国境的远距离投资。尽管相关研究近几年才刚刚开始,但已迅速成为学术研究的热点。文章从国家环境因素、社会网络和风投机构主体因素三个层次,对风险投资国际化影响因素的最新文献进行了梳理和评述,并在此基础上对未来研究进行了展望。     

Owls,larks, or investment sharks? The role of circadian process in early-stage investment decisions

Investors in early-stage companies want to detect and select high-potential opportunities to maximize their long-term returns. However, in uncertain and risky early-stage investment contexts, company information is often opaque, and decision-making timeframes are compressed. Although there is an abundance of prior work on how investors make structured decisions based on their experience and expertise, there is a very limited understanding of how time-based factors can sway investment decisions. The circadian process is the 24-hour sequence that serves as an individual's internal timer influencing not only sleep cycles, but also attention and performance on a wide range of cognitive tasks. Understanding how the circadian process impacts early-stage investment holds implications for optimal investment decisions. We build on social cognitive theory and propose that investor-level factors (i.e., chronotypes) and environmental factors (time of the day) interact to influence the amount of information investors search for, and consequently, their investment decisions. We hypothesize and find that investors are influenced by the time of day they make early-stage investment decisions. Lark investors make better investment decisions in the morning, whereas owl investors make better decisions in the evening. Information search effort mediates this relationship.     

Chinese foreign direct investment in the United States: Location choice determinants and strategic implications for the State of Indiana

Identifying the unique U.S. state-level factors that more often give rise to Chinese firm-led investment is the central focus of this article. Looking at Chinese investment in the United States between 2007 and 2011, this article (1) explores the determinants underlying the locational choices of Chinese firms, (2) seeks to understand why some U.S. states receive relatively greater amounts of investment from China, (3) assesses whether prior trends are likely to continue into the future; and—perhaps most importantly—(4) seeks to identify what (if anything) the state of Indiana can do to better position itself to capture greater amounts of Chinese investment moving forward. We recommend the following actions for the state of Indiana: (1) firm targeting—Indiana is a prime FDI target for private, firm-led, greenfield investment; (2) differentiation— Indiana has distinct advantages over other locations in the Midwest; (3) promotions—trade missions and overseas office locations are investments, not costs; (4) investments in relationships—cultural sensitivity and friendship make the difference.     

基于改进灰色关联投影法的房地产投资环境优选研究

面对房地产投资环境评价系统的复杂性和所涉及因素的多样性,将基于熵权的改进灰色关联投影法引入房地产投资环境评价中,是既简洁、易操作、又科学可靠的房地产投资环境评价新方法,对于正确进行房地产投资决策有重要的实际应用价值。     

World market integration through the lens of foreign direct investors

This paper is motivated by the unparalleled increase in foreign direct investment to emerging market economies of the last 25 years. Using a large cross-country time-series data set, we evaluate the dependence of foreign direct investment on global factors, or worldwide sources of risk (i.e., factors that drive foreign direct investment across several countries). We construct a globalization measure that equals the share of explained variation in direct investment attributable to global factors. We show that our globalization measure has increased steadily for developing and developed countries. For the full sample of countries, the globalization measure rose by over 10-fold from 1985 to 1999. Furthermore, in recent years, developing countries' exposure to global factors has approached that of developed countries. Finally, our globalization measure correlates strongly with measures of capital market liberalization, supporting our hypothesis that increased market integration leads to a greater role for worldwide sources of risk. We discuss the implications of our results for public policies regarding capital market liberalization and policies directed at attracting foreign investment.