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.
-
[1] 中共中央, 国务院. 中共中央国务院关于实施乡村振兴战略的意见[EB/OL].(2018-02-04)[2021-06-22].http://www.gov.cn/zhengce/2018-02/04/content_5263807.htm. [2] 李柏桐, 李以通, 李晓萍. 绿色宜居村镇住宅建造标准需求分析[J]. 建筑热能通风空调,2021,40(1):85-89. [3] 李焕, 尚春静, 李婕, 等. 绿色宜居村镇基础设施配建体系的构建研究[J]. 建筑经济,2020,41(7):101-105. [4] 袁凌, 王丽莎, 刘晓晖, 等. 绿色宜居村镇住宅建造技术体系研究综述[J]. 住区,2019(6):104-115. [5] 程金, 朱成浩, 王世忠, 等. 我国北方村镇宜居评价指标体系研究[J]. 山西建筑,2016,42(12):1-2. [6] 李莹, 马齐如, 印兆麟. 有关北方宜居村镇评价指标体系的构建[J]. 山西建筑,2016,42(10):32-34. [7] Setijanti P, Defiana I, Setyawan W, et al. Traditional settlement livability in creating sustainable living[J]. Procedia-Social and Behavioral Sciences,2015,179(4):204-211. [8] Khorasani M, Zarghamfard M. Analyzing the impacts of spatial factors on livability of peri-urban villages[J]. Social Indicators Research,2018,136(2):693-717. [9] Wang Y, Zhu Y, Yu M. Evaluation and determinants of satisfaction with rural livability in China's less-developed eastern areas:a case study of Xianju County in Zhejiang Province[J]. Ecological Indicators,2019,104(9):711-722. [10] 王涛. 东北严寒地区绿色村镇体系的系统构建及综合评价应用研究[D]. 哈尔滨:哈尔滨工业大学,2017. [11] 杜博文, 曹昌盛, 侯玉梅, 等. 绿色生态村镇环境指标体系量化方法研究[J]. 建设科技,2016(15):100-103. [12] Gong D, Yang X, Wang S. Survey on the evaluation index system of a green village in a cold region[C]//2015 International Conference on Construction and Real Estate Management. Beijing:International Conference on Construction and Real Estate Management,2015. [13] WangX.Theresearchontheevaluationindexsystemoflivable rural areas in China-by the case of rural areas in Henan Province[J]. Agriculture and Agricultural Science Procedia,2010(1):456-461. [14] 李忠富, 李州扬, 蔡晋. 绿色公共建筑运营阶段BIM技术费用效益分析[J]. 建筑经济,2020,41(11):90-95. [15] 李素蕾, 吴广源. 基于灰色模糊评价和TOPSIS法的大型公共工程项目投资决策研究[J]. 兰州大学学报(自然科学版),2020,56(4):471-476. [16] 白冬晖. 基于灰色关联度-TOPSIS法的畜牧业项目优选决策模型及其应用[D]. 沈阳:沈阳农业大学,2016. [17] 陈艳华, 朱斌. 企业主流与新流创新柔性机制——一项基于扎根理论的多案例探索性研究[J/OL]. 科技进步与对策,2020:1-10[2020-12-24].https://kns.cnki.net/kcms/detail/42.1224.G3.20201218.1053.006.html. [18] 李振涛, 付楚芮. 基于环境制约的现代煤化工项目效益评估方法研究[J]. 煤炭工程,2020,52(12):157-162.
点击查看大图
计量
- 文章访问数: 274
- HTML全文浏览量: 2
- PDF下载量: 1
- 被引次数: 0