绿色宜居村镇建设项目政府多目标决策研究——以西北地区某重点镇政府投资建设供暖项目为例

Research on Government Multi-objective Decision-making for Green Livable Villages and Towns Construction Project: Taking a Key Town in Northwest China as an Example

  • 摘要: 绿色宜居村镇是乡村振兴战略的总要求之一。文章针对绿色宜居村镇建设项目前期决策不够绿色、科学,多目标难以统筹协调的问题,提出多目标决策方法。首先,选择政府投资项目,从多目标决策影响因素入手,运用扎根理论构建了“环境、资源、经济、社会、信息、风险”六大目标下的项目评价指标体系。随后,基于环境制约下的费用效益评价与改进优劣解距离法(TOPSIS)分析,构建政府部门三阶段决策模型。最后,进行实证分析,验证了模型的可行性。结果表明,在考虑环境成本刚性制约和环境社会指标货币量化后,项目或者被一票否决或者经济净现值(ENPV)、经济内部收益率(EIRR)、效益费用比(B/C)均有不同程度的下降,证明了环境目标的重要性;结合费用效益与费用效果指标进行改进TOPSIS分析,充分彰显了项目的综合效益,促进了多目标协调,为绿色宜居村镇建设项目多目标决策提供借鉴。

     

    Abstract: Green livable villages and towns are one of the general requirements of the rural revitalization strategy. Aiming at the problem that the early decision-making of green and livable villages and towns construction projects is not green and scientific, and it is difficult to coordinate multiple goals. This article first takes government investment projects as an example, starts with the factors influencing multi-objective decision-making, and uses grounded theories to construct the ‘environment, resources, economy, society, information, and risk’. Then, based on the cost-benefit evaluation and improved TOPSIS analysis under environmental constraints, a three-stage decisionmaking model for government agencies is constructed. Finally, a case analysis is carried out to verify the feasibility of the model. The results showed that after considering the rigid constraints of environmental costs and the currency quantification of environmental and social indicators, the project was either rejected by one vote or ENPV, EIRR, and B/C were all reduced to varying degrees, which proved the importance of environmental goals. Combining cost-effectiveness with Improved TOPSIS analysis of cost-effect indicators, it fully demonstrates the comprehensive benefits of the project, promotes multi-objective coordination, and provides reference for multi-objective decisionmaking in green and livable villages and towns construction projects.

     

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