浙江大学学报:人文社会科学版
浙江大學學報:人文社會科學版
절강대학학보:인문사회과학판
Journal of Zhejiang University(Humanities and Social Sciences)
2012年
1期
87~99
,共null页
政治风险 海外直接投资 风险预警 BP人工神经网络
政治風險 海外直接投資 風險預警 BP人工神經網絡
정치풍험 해외직접투자 풍험예경 BP인공신경망락
political risk; outward foreign direct investment(OFDI); risk warning; BP Artificial Neural Network
政治风险是海外投资项目评估的起点,是影响海外直接投资成功与否的关键因素。研究政治风险的影响因素以及建立灵敏的预警体系具有重要的现实和理论意义。依据我国海外直接投资主要流向的26个国家2002—2009年相关数据,运用主成分分析和BP神经网络模型的研究结果表明:政治风险的影响因素主要来源于政治、经济和社会层面。在政治经济制度发展水平较低的国家,投资者应首先防范政治层面的风险。在政治经济制度发展水平中等且与我国政府具有良好外交关系、社会文化差异性较小的国家,投资者应首先防范经济因素引发的政治风险。在政治经济制度发展水平较高的发达国家,投资者应防范我国与东道国的政治、文化和社会距离所引发的政治风险。
政治風險是海外投資項目評估的起點,是影響海外直接投資成功與否的關鍵因素。研究政治風險的影響因素以及建立靈敏的預警體繫具有重要的現實和理論意義。依據我國海外直接投資主要流嚮的26箇國傢2002—2009年相關數據,運用主成分分析和BP神經網絡模型的研究結果錶明:政治風險的影響因素主要來源于政治、經濟和社會層麵。在政治經濟製度髮展水平較低的國傢,投資者應首先防範政治層麵的風險。在政治經濟製度髮展水平中等且與我國政府具有良好外交關繫、社會文化差異性較小的國傢,投資者應首先防範經濟因素引髮的政治風險。在政治經濟製度髮展水平較高的髮達國傢,投資者應防範我國與東道國的政治、文化和社會距離所引髮的政治風險。
정치풍험시해외투자항목평고적기점,시영향해외직접투자성공여부적관건인소。연구정치풍험적영향인소이급건립령민적예경체계구유중요적현실화이론의의。의거아국해외직접투자주요류향적26개국가2002—2009년상관수거,운용주성분분석화BP신경망락모형적연구결과표명:정치풍험적영향인소주요래원우정치、경제화사회층면。재정치경제제도발전수평교저적국가,투자자응수선방범정치층면적풍험。재정치경제제도발전수평중등차여아국정부구유량호외교관계、사회문화차이성교소적국가,투자자응수선방범경제인소인발적정치풍험。재정치경제제도발전수평교고적발체국가,투자자응방범아국여동도국적정치、문화화사회거리소인발적정치풍험。
Political risk is taken as the starting point for assessing overseas investment projects,and it is also a crucial factor which influences the success of foreign investment.Therefore,to analyze the factors influencing the political risk and to construct a sensitive early warning system of political risk is of great practical and theoretical significance.Although there are some professional institutions worldwide that are specialized in measuring political risk,their assessments are simply conducted based on the host countries' own political,economic and social environment,ignoring the specific political risk of foreign direct investments regarding to a particular home country and a particular host country.Moreover,most of the political risk researches focused on risk assessment and prevention,but few of them paid attention to the early warning system.As a supplement of the previous researches,this paper aims to provide macro-level political risk information for Chinese overseas investments by constructing an early warning system of political risk in 26 countries where Chinese investment flow abroad. On the basis of the summary of the relevant researches on political risk,this paper has explained the formation mechanism of the political risk and analyze the main factors influencing the political risk,which can be considered in the political,economic and social dimensions.We have proposed an indicators system to assess and predict the macro-political risk faced by Chinese OFDI.The indicators system suggested in this study consists of indicators such as political stability,the distance of the democracy degrees between China and the host country,the distance of the corruption levels between China and the host country,the host country's law culture,the host country's dependence on China,per capita income of the host country,GDP growth,inflation rate. With the annual data on the 8 indicators of the indicators system from 2002 to 2009,we have given scores to 26 host countries according to principal component analysis in terms of their macro political risk.Then this paper further classifies the political risk of these years into four levels: danger,alerting,basically safe and safe.Additionally,this paper has constructed an early warning system in political risk for foreign investment of Chinese companies based on BP Artificial Neural Network,through which we also predict the political risk of Chinese foreign investment in 2010. Based on the empirical study mentioned above,we argue that Chinese investors should guard against risk arising from political factors in politically and economically less-developed countries,against risk arising from economic factors in politically and economically moderately developed countries which also maintain good diplomatic relations and have less cultural differences with China,and against risk arising from political,cultural and social factors in politically and economically highly developed countries.