The Characteristics of China's Hydropower Projects Overseas Investment Risk and Possible Countermeasures

2014 ◽  
Vol 672-674 ◽  
pp. 2132-2139
Author(s):  
An Na Shi ◽  
Su Juan Ge

In the sustained rapid growth of the international economy, foreign investment and international business is becoming the next mainstream context, China vigorously implement the "going out" strategy, encouraging foreign investment. With economic growth, the rapid growth of the world's water and electricity consumption are also in the growing strength of China's hydropower companies powerful premise, accelerate the development of hydropower projects overseas investment is an inevitable trend. This is not only of significance for the development of major hydropower companies, while the international operations of Chinese enterprises to China’s energy security, energy policy have far-reaching implications. But the ever-changing international situation and uncertainty investment host country's investment environment for foreign investment in hydropower projects risk assessment and prevention challenges. Hydropower projects overseas investment risks should not be underestimated, risk assessment and prevention of improper investment will bring huge losses. This paper studies the characteristics of China's hydropower projects overseas investment risks and prevention.

2014 ◽  
Vol 672-674 ◽  
pp. 2077-2084 ◽  
Author(s):  
Su Juan Ge ◽  
An Na Shi

In this paper, power projects overseas investment risk as the research object, starting from the risk assessment and prevention, integrated use of risk theory of knowledge, power projects overseas investment to do a systematic risk identification and analysis. On this basis, the analytic hierarchy process, fuzzy comprehensive evaluation of knowledge and econometrics to establish risk assessment model, a comprehensive assessment of power projects overseas investment risks.


2021 ◽  
Vol 9 ◽  
Author(s):  
Xuqiang Duan ◽  
Xu Zhao ◽  
Jianye Liu ◽  
Shuquan Zhang ◽  
Dongkun Luo

Our research aims to analyze how the uncertainties and risks of the overseas oil & gas investment environment change over time and reveal the specific occurrence probabilities of risk on different levels. In the process of long-drawn overseas oil & gas investment that can last for 30 years or longer, it is difficult for investment decision-makers to grasp the occurrence probabilities and trends of some specific risks accurately and in a timely manner. The overseas risk assessment system has made great progress; however, it has remained elusive due to the challenge of too many complex and interweaved factors. With the advent of big data and artificial intelligence, more precise and specific risk evaluations can be conducted. Our research selects 25 indicators from six dimensions and applies a Cloud parameter Bayesian network algorithm to dynamically assess the oil and gas overseas investment risk of 10 countries. The results reveal how risk dynamics have changed over the past two decades. Our research may serve as a reference in future overseas oil & gas investment risk decision-making, and is also significant to outbound investing, engineering, and service projects. The proper use of risk assessment results can be conducive to potential investors who may invest in potential countries in the future.


2020 ◽  
Vol 18 (4) ◽  
pp. 780-806 ◽  
Author(s):  
V.A. Yakimova ◽  
S.V. Khmura

Subject. This article deals with the theoretical and methodological issues of assessing the investment attractiveness of the advanced development areas. Objectives. The article aims to clarify the economic essence of the category Investment Attractiveness of Advanced Development Areas and related categories, and improve the methodological support to assess the investment attractiveness taking into account the characteristics of these areas. Methods. For the study, we used the methods of analysis and synthesis, generalization, analogy, classification, grouping, and systematization. Results. The article presents a methodology for assessing the investment attractiveness of the advanced development areas, taking into account indicators classified under three groups, namely investment potential, investment environment, and investment risk. It also offers recommendations to determine the type of investment attractiveness. Conclusions. Investment attractiveness, as a complex characteristic of the advanced development area, gets formed in the context of the influence of internal and external factors that are quantifiable and qualitatively assessed. To meet the needs of investors, a methodology that includes current assessment and forecasts is needed, indicating the areas of possible investment risk.


Author(s):  
Benjamí Monsonís-Filella ◽  
Montserrat Gea-Sánchez ◽  
Ester García-Martínez ◽  
Mercè Folguera-Arnau ◽  
Josep Maria Gutiérrez Vilaplana ◽  
...  

2016 ◽  
Vol 57 (2) ◽  
pp. 209-241 ◽  
Author(s):  
Barclay E. James ◽  
Paul M. Vaaler

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