中国安全科学学报
中國安全科學學報
중국안전과학학보
CHINA SAFETY SCIENCE JOURNAL(CSSJ)
2009年
12期
28-33
,共6页
梅强%杨宗康%刘素霞%陆玉梅
梅彊%楊宗康%劉素霞%陸玉梅
매강%양종강%류소하%륙옥매
条件价值法(CVM)%生命价值(VSL)%支付意愿%评估%有效性
條件價值法(CVM)%生命價值(VSL)%支付意願%評估%有效性
조건개치법(CVM)%생명개치(VSL)%지부의원%평고%유효성
contingent valuation method (CVM)%value of a statistical life (VSL)%willingness to pay%evaluation%validity
分别对条件价值法评估生命价值的经济学理论基础和研究进展进行阐述;分析条件价值法应用于生命价值评估可能会产生的偏差有假想偏差、策略偏差和信息偏差,并探讨支付意愿与受偿意愿、诱导技术、风险变化率对其结果有效性的影响.根据文献分析结果,结合前期应用条件价值法评估生命价值实证研究的成果,就如何提高条件价值法评估生命价值结果的可靠性和有效性给出实证研究设计方案,通过总体设计框架、工作环境风险认知调查、工作风险支付意愿的设计、社会经济信息变量的设置、调查准备与预调查、样本容量及抽样设计、数据统计分析等多个方面的优化设计可以保障评估生命价值的有效性和可靠性.
分彆對條件價值法評估生命價值的經濟學理論基礎和研究進展進行闡述;分析條件價值法應用于生命價值評估可能會產生的偏差有假想偏差、策略偏差和信息偏差,併探討支付意願與受償意願、誘導技術、風險變化率對其結果有效性的影響.根據文獻分析結果,結閤前期應用條件價值法評估生命價值實證研究的成果,就如何提高條件價值法評估生命價值結果的可靠性和有效性給齣實證研究設計方案,通過總體設計框架、工作環境風險認知調查、工作風險支付意願的設計、社會經濟信息變量的設置、調查準備與預調查、樣本容量及抽樣設計、數據統計分析等多箇方麵的優化設計可以保障評估生命價值的有效性和可靠性.
분별대조건개치법평고생명개치적경제학이론기출화연구진전진행천술;분석조건개치법응용우생명개치평고가능회산생적편차유가상편차、책략편차화신식편차,병탐토지부의원여수상의원、유도기술、풍험변화솔대기결과유효성적영향.근거문헌분석결과,결합전기응용조건개치법평고생명개치실증연구적성과,취여하제고조건개치법평고생명개치결과적가고성화유효성급출실증연구설계방안,통과총체설계광가、공작배경풍험인지조사、공작풍험지부의원적설계、사회경제신식변량적설치、조사준비여예조사、양본용량급추양설계、수거통계분석등다개방면적우화설계가이보장평고생명개치적유효성화가고성.
The economic theory basis and research progress of evaluating the value of a statistical life (VSL) with contingent valuation method (CVM) are reviewed respectively. Some biases, such as hypothetical bias, strategic bias and information bias, which may be brought into the evaluation of VSL with CVM, are analyzed. Willingness to pay and willingness to accept, question formulation and risk variability, which may affect the validity of the VSL results, are discussed. According to the results of literature analysis, and combining the previous empirical study of using CVM to evaluate the VSL of employees, the scheme about how to improve the validity and reliability of VSL with CVM is designed. Through optimized design on the overall framework, working environment risk perception survey, design of the working risk of willingness to pay, socio-economic information variable settings, readiness survey and pre-survey, sample size and sample design, data statistics and analysis, etc., the assessment result can be ensured.