發(fā)布時間：2018-05-29 12:29

  本文選題：綠色村鎮(zhèn) + 清潔能源　； 參考：《哈爾濱工業(yè)大學(xué)》2015年碩士論文

【摘要】：我國正處在“十二五”末期,同時也是深化改革的關(guān)鍵階段,為了避免農(nóng)村地區(qū)在城鎮(zhèn)化進程中重蹈城市“邊發(fā)展邊污染、先發(fā)展后治理”的覆轍,如何將農(nóng)村能源消費結(jié)構(gòu)逐漸引導(dǎo)至安全、經(jīng)濟、可持續(xù)、清潔的消費狀態(tài)上,是社會主義新農(nóng)村建設(shè)及綠色村鎮(zhèn)推進過程中亟待解決的重要問題。論文結(jié)合我國嚴寒地區(qū)村鎮(zhèn)的清潔能源現(xiàn)狀,對推進機制問題進行了研究。農(nóng)村清潔能源的推進是一項涉及眾多決策主體的系統(tǒng)工程,目前對主體間的利益沖突問題的探討相對欠缺。為了有效的解決政府部門、農(nóng)民、企業(yè)等推進主體間的利益沖突,從系統(tǒng)、博弈模擬角度出發(fā),構(gòu)建出一套強調(diào)決策主體交互性的寒地農(nóng)村清潔能源推進機制具有重要意義。傳統(tǒng)的清潔能源機制基本遵循“實施之后看效果”的路線,為了避免傳統(tǒng)制度由上至下制定、實施產(chǎn)生的無效性,本文構(gòu)建的引入沖突分析的多目標群決策模型應(yīng)運而生。論文首先基于政策推演法(Policy Gaming)構(gòu)建出若干農(nóng)村清潔能源推進機制,應(yīng)用Fuzzy AHP方法,確定屬性權(quán)重,經(jīng)過閾值篩選,得到局中人可選策略集。在此基礎(chǔ)上,采用沖突分析方法,對多目標群決策模型進行求解分析,提出了一套具有針對性和實踐性的機制。與其他模型相比,本模型將難以定量描述的現(xiàn)實問題進行了數(shù)學(xué)表述,同時對決策者所面臨的沖突問題可能出現(xiàn)的最終結(jié)局進行模擬和預(yù)測,更加有助于決策者的分析和判斷。在理論分析基礎(chǔ)上,以黑龍江省下屬村鎮(zhèn)——新安鎮(zhèn)為案例分析對象,進行了實證分析。多目標群決策模型分析結(jié)果表明,對于新安鎮(zhèn)而言,11號結(jié)局是該地農(nóng)村清潔能源推進過程最適宜實施的最優(yōu)機制,是帕累托效率均衡解。
[Abstract]:China is at the end of the 12th Five-Year Plan, and it is also a key stage for deepening reform. In order to avoid repeating the "pollution while developing while pollution" in the urbanization process in rural areas, we should develop first and then harness it. How to gradually guide the rural energy consumption structure to the safe, economic, sustainable and clean consumption state is an important problem to be solved in the construction of new socialist countryside and the promotion of green villages and towns. Based on the current situation of clean energy in villages and towns in cold regions of China, this paper studies the propulsion mechanism. The promotion of rural clean energy is a systematic project involving many decision makers. In order to effectively solve the conflicts of interests among government departments, farmers, enterprises and so on, it is of great significance to construct a set of promotion mechanism of clean energy in cold rural areas from the point of view of system and game simulation. The traditional clean energy mechanism basically follows the route of "seeing the effect after the implementation". In order to avoid the invalidity of the traditional system from top to bottom, the multi-objective group decision-making model of conflict analysis was constructed in this paper. Firstly, based on the policy extrapolation method, some rural clean energy promotion mechanisms are constructed. The attribute weight is determined by using Fuzzy AHP method, and the optional policy set is obtained by threshold selection. On this basis, the conflict analysis method is used to solve the multi-objective group decision model, and a set of targeted and practical mechanism is proposed. Compared with other models, this model makes mathematical representation of the practical problems which are difficult to describe quantitatively, and simulates and predicts the possible final outcome of the conflict problems faced by decision makers, which is more helpful to the analysis and judgment of decision makers. On the basis of theoretical analysis, this paper takes the subordinate village of Heilongjiang Province-Xin'an Town as the case study object, carries on the empirical analysis. The results of multi-objective group decision-making model show that, for Xinanzhen, the 11th outcome is the most suitable mechanism for implementing the process of promoting clean energy in the rural areas, and the Pareto efficiency equilibrium solution.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：F323.214

【參考文獻】

相關(guān)期刊論文 前5條

1 李國柱;盧萬合;蔡文香;孫艷君;;基于DEMATEL法的吉林農(nóng)村能源消費影響因素分析[J];廣東農(nóng)業(yè)科學(xué);2012年07期

2 徐瑤;;低碳背景下農(nóng)村居民生活能源消費實證分析——基于7省的微觀數(shù)據(jù)[J];安徽農(nóng)業(yè)科學(xué);2014年16期

3 彭艷艷,王濟干;沖突分析理論在我國企業(yè)勞資關(guān)系中的應(yīng)用[J];科技管理研究;2005年10期

4 曾勇,楊志峰;官廳水庫跨區(qū)域水質(zhì)改善政策的沖突分析[J];水科學(xué)進展;2004年01期

5 付麗蘋;;我國發(fā)展清潔能源的驅(qū)動機制研究[J];生態(tài)經(jīng)濟;2012年02期

相關(guān)碩士學(xué)位論文 前1條

1 高海濤;風(fēng)能—太陽能—沼氣集成系統(tǒng)的性能研究[D];蘭州理工大學(xué);2012年

，

本文編號：1950878