本文選題：PPP + 績(jī)效評(píng)價(jià)　； 參考：《蘭州理工大學(xué)》2017年碩士論文

【摘要】：國(guó)務(wù)院于2014年發(fā)文強(qiáng)調(diào),截至2020年,我國(guó)常住人口城鎮(zhèn)化率與戶籍人口城鎮(zhèn)化率分別要達(dá)到60%與45%。原財(cái)政部副部長(zhǎng)王保安則表示,新一輪投資熱潮將伴隨城鎮(zhèn)化的推進(jìn)而來(lái),金額將高達(dá)42萬(wàn)億元人民幣。我國(guó)地方政府債務(wù)形式嚴(yán)峻,基礎(chǔ)設(shè)施建設(shè)資金缺口大,PPP模式的成功應(yīng)用可以從根本上盤(pán)活社會(huì)存量資金,破解地方投融資難題,加快地方經(jīng)濟(jì)社會(huì)建設(shè),推動(dòng)城鎮(zhèn)化速度。但是,我國(guó)PPP模式的發(fā)展現(xiàn)狀是先推廣再規(guī)范,這就使得PPP模式的實(shí)際操作存在很多問(wèn)題與隱患,全國(guó)各地多個(gè)PPP項(xiàng)目的建設(shè)一度陷入停滯甚至徹底失敗的尷尬境地,基于此,本文以蘭州新區(qū)“朱中鐵路”P(pán)PP項(xiàng)目為例,對(duì)其進(jìn)行績(jī)效評(píng)價(jià)體系的設(shè)計(jì)與實(shí)施的詳細(xì)研究。首先,本文對(duì)蘭州新區(qū)“朱中鐵路”P(pán)PP項(xiàng)目績(jī)效評(píng)價(jià)的主體、目標(biāo)、時(shí)點(diǎn)等績(jī)效評(píng)價(jià)要素進(jìn)行了分析,在此基礎(chǔ)上,分別設(shè)計(jì)了項(xiàng)目環(huán)境、財(cái)務(wù)、內(nèi)部控制、利益方滿意度以及創(chuàng)新與成長(zhǎng)五個(gè)維度的指標(biāo),并發(fā)放問(wèn)卷進(jìn)行調(diào)查,最終確定并篩選平均得分較高的指標(biāo)構(gòu)成該項(xiàng)目的績(jī)效評(píng)價(jià)指標(biāo)體系。其次,運(yùn)用模糊綜合評(píng)價(jià)的數(shù)學(xué)方法,對(duì)項(xiàng)目前期已有數(shù)據(jù)及部分預(yù)測(cè)性數(shù)據(jù)進(jìn)行績(jī)效評(píng)價(jià)結(jié)果的測(cè)算,并根據(jù)最大隸屬度原則,得出項(xiàng)目環(huán)境、財(cái)務(wù)、內(nèi)部控制、利益方滿意度以及創(chuàng)新與成長(zhǎng)五個(gè)維度的績(jī)效評(píng)價(jià)結(jié)果均為優(yōu)。最后,針對(duì)宏觀與微觀兩個(gè)層面,提出相應(yīng)的績(jī)效保障建議,以促進(jìn)蘭州“朱中鐵路”P(pán)PP項(xiàng)目參與人員能夠在項(xiàng)目全生命周期內(nèi)制定出更加合理、科學(xué)的績(jī)效管理辦法,引導(dǎo)公眾參與PPP項(xiàng)目,吸引投資,最終保證PPP項(xiàng)目的成功。
[Abstract]:In 2014, the State Council stressed that by 2020, the urbanization rate of the resident population in China and the urbanization rate of the resident population should reach 60 percent and 45.5 percent respectively. Wang Baoan, former vice-minister of finance, said a new investment boom would be accompanied by urbanization, amounting to as much as 42 trillion yuan. The local government debt in our country is severe, and the successful application of PPP model can fundamentally activate the social stock funds, solve the problem of local investment and financing, speed up the local economic and social construction, and promote the speed of urbanization. However, the development status of PPP mode in our country is to popularize and then standardize first, which makes the actual operation of PPP mode have many problems and hidden dangers. The construction of many PPP projects in various parts of the country was once in an awkward situation of stagnation or even complete failure. Based on this, Taking the PPP project of Zhuzhong Railway in Lanzhou New District as an example, this paper makes a detailed study on the design and implementation of the performance evaluation system. First of all, this paper analyzes the main body, target, time and other factors of performance evaluation of "Zhuzhong Railway" PPP project in Lanzhou New District, and then designs the project environment, finance, internal control, etc. The indicators of the five dimensions of stakeholder satisfaction and innovation and growth were investigated and the indicators with higher average score were determined and screened to form the performance evaluation index system of the project. Secondly, using the mathematics method of fuzzy comprehensive evaluation, the performance evaluation results of the pre-project data and the partial predictive data are calculated, and according to the principle of maximum membership degree, the project environment, finance and internal control are obtained. The results of performance evaluation in the five dimensions of stakeholder satisfaction and innovation and growth are excellent. Finally, aiming at the macro and micro level, the author puts forward the corresponding performance guarantee suggestions, in order to promote the participants of the PPP project of "Zhuzhong Railway" in Lanzhou to formulate more reasonable and scientific performance management methods in the whole life cycle of the project. Lead the public to participate in the PPP project, attract investment, and ultimately ensure the success of the PPP project.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F532.8;F283

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