本文選題：民生　切入點：面板數(shù)據(jù)　出處：《陜西師范大學(xué)》2013年碩士論文

【摘要】：改革開放以來,中國經(jīng)濟經(jīng)歷了深刻地變革和發(fā)展,在30多年的歷程中,年均GDP增長率超過了9%,2011年國內(nèi)生產(chǎn)總值世界第二。實現(xiàn)社會經(jīng)濟地發(fā)展,歸根結(jié)底是為了改善民生。十七大之后政府將“改善民生”問題第一次擺在了突出的位置,一時成為了學(xué)術(shù)界討論的熱點。那么政府對于民生的改善是否能夠促進經(jīng)濟的發(fā)展,這種發(fā)展是否造成了區(qū)域間的差異,是本文重點研究的內(nèi)容。 本文首先針對中國當前社會經(jīng)濟地持續(xù)增長與民生發(fā)展現(xiàn)狀為研究背景,闡述研究民生投入與經(jīng)濟發(fā)展的現(xiàn)實意義,選取教育、醫(yī)療衛(wèi)生、科技、社會保障與就業(yè)以及文化體育與傳媒財政支出作為民生投入指標,在新古典經(jīng)濟增長理論的分析框架之下,建立了一個包含民生投入擴展的生產(chǎn)函數(shù),選取中國30個省份2000-2011年實際GDP作為產(chǎn)出指標,物質(zhì)資本、民生以及勞動力作為投入指標,進行面板計量分析,結(jié)果顯示,從全國來看,相比物質(zhì)資本與勞動力,政府的民生支出對于經(jīng)濟的貢獻相對較小,其貢獻度大小依次是教育、文化體育與傳媒、社會保障與就業(yè)、科技以及醫(yī)療,同時區(qū)域間差異較明顯,呈現(xiàn)自東向西逐漸遞減的趨勢。其次使用DEA-Malmquist指數(shù)分解方法,基于包含民生投入擴展的生產(chǎn)函數(shù),對于中國2000-2011年的全要素生產(chǎn)率進行測算和分解,結(jié)果顯示,各年民生投入對于經(jīng)濟的效率整體欠佳,呈現(xiàn)自東向西逐漸遞減的趨勢,區(qū)域差異較為明顯,而全要素生產(chǎn)率12年間整體呈現(xiàn)上升趨勢,西部地區(qū)全要素生產(chǎn)率增長速度較為明顯,基本與中部地區(qū)增長速度保持一致。然后針對以上民生投入與經(jīng)濟發(fā)展較強的區(qū)域適應(yīng)性,引入二進制的空間權(quán)重矩陣,對全要素生產(chǎn)率進行了空間相關(guān)性的初步探索分析,結(jié)果顯示,中國省域之間存在正的空間相關(guān)性,且2000-2011年較為穩(wěn)定,省域之間存在“連帶”效應(yīng),即省份內(nèi)部的發(fā)展會在一定程度上帶動相鄰省份地發(fā)展。文中最后針對以上分析的主要結(jié)論進行了相關(guān)的政策建議,并進行了研究展望,為本文的進一步研究提供了可靠的后續(xù)保障。
[Abstract]:Since the reform and opening up, China's economy has undergone profound changes and development. In the course of more than 30 years, the average annual GDP growth rate has exceeded 9%. In 2011, the world's gross domestic product (GDP) was second in the world. In the final analysis, it is to improve people's livelihood. After the 17th National Congress, the government put the issue of "improving people's livelihood" in a prominent position for the first time, and for the time being it became a hot topic of discussion in academia. Well, will the government improve the people's livelihood to promote economic development? Whether this kind of development causes the difference between regions is the main content of this paper. Based on the research background of China's current social and economic sustainable growth and the current situation of people's livelihood development, this paper expounds the practical significance of research on people's livelihood investment and economic development, and selects education, medical and health care, science and technology. Social security and employment, as well as cultural, sports and media financial expenditure, as indicators of people's livelihood input, under the new classical economic growth theory analysis framework, established a production function including the expansion of people's livelihood input. The actual GDP of 30 provinces in China from 2000 to 2011 is selected as output index, material capital, people's livelihood and labor force as input index, and the panel econometric analysis shows that, from the national point of view, compared with material capital and labor force, Government expenditure on people's livelihood contributes relatively little to the economy, and its contribution is in turn education, culture, sports and the media, social security and employment, science and technology, and medical care. At the same time, there are significant regional differences. The trend is gradually decreasing from east to west. Secondly, the DEA-Malmquist exponential decomposition method is used to measure and decompose the total factor productivity of China from 2000 to 2011 based on the production function which includes the expansion of people's livelihood input. The results show that, The overall economic efficiency of people's livelihood input in each year is poor, showing a decreasing trend from east to west. The regional differences are obvious, while the total factor productivity has been on the rise in the past 12 years. The growth rate of total factor productivity in the western region is obvious, which is basically consistent with the growth rate in the central region. Secondly, the binary spatial weight matrix is introduced in view of the regional adaptability of the above investment in people's livelihood and the development of economy. The spatial correlation of total factor productivity (TFP) is analyzed. The results show that there is positive spatial correlation among provinces in China, and it is stable from 2000 to 2011, and there are "joint and several" effects among provinces. That is to say, the development within the province will drive the development of neighboring provinces to a certain extent. In the end, the paper carries out the relevant policy recommendations for the main conclusions of the above analysis, and carries on the research prospect. It provides a reliable guarantee for the further study of this paper.
【學(xué)位授予單位】：陜西師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F124.1;F126

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