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基于半?yún)?shù)模型的居民消費(fèi)與經(jīng)濟(jì)增長區(qū)域差異性研究

發(fā)布時(shí)間:2018-04-21 00:06

  本文選題:面板數(shù)據(jù) + 非參數(shù)核估計(jì); 參考:《河南科技大學(xué)》2014年碩士論文


【摘要】:目前中國經(jīng)濟(jì)增長正由主要依靠投資、出口拉動(dòng)向依靠消費(fèi)、投資、出口協(xié)調(diào)拉動(dòng)轉(zhuǎn)變,消費(fèi)逐漸成為拉動(dòng)我國經(jīng)濟(jì)增長的重要因素和主要?jiǎng)恿。居民消費(fèi)作為消費(fèi)需求的主體,重要性是不容忽視的。由于我國具有典型的二元經(jīng)濟(jì)結(jié)構(gòu)特征,城鎮(zhèn)和農(nóng)村居民消費(fèi)對經(jīng)濟(jì)增長有著不同的拉動(dòng)效果,此外,,經(jīng)濟(jì)體制改革以后,我國不同地區(qū)的經(jīng)濟(jì)發(fā)展不平衡,居民消費(fèi)支出對經(jīng)濟(jì)增長的影響呈現(xiàn)出比較大的差異性。 本文以城鎮(zhèn)和農(nóng)村居民消費(fèi)對經(jīng)濟(jì)增長影響的區(qū)域差異性為研究視角,利用1996-2011年30個(gè)。ㄊ校┑氖‰H面板數(shù)據(jù),基于非參數(shù)核估計(jì)方法,分別建立城鎮(zhèn)居民和農(nóng)村居民消費(fèi)與經(jīng)濟(jì)增長的面板數(shù)據(jù)半?yún)?shù)計(jì)量經(jīng)濟(jì)模型,從城鄉(xiāng)兩方面對消費(fèi)與經(jīng)濟(jì)增長的區(qū)域差異性進(jìn)行實(shí)證分析,具體研究內(nèi)容如下: 1.選取人均國內(nèi)生產(chǎn)總值(GDP)作為反映經(jīng)濟(jì)增長的指標(biāo),以其為被解釋變量,人均居民消費(fèi)作為解釋變量,分別建立我國東、中、西部城鎮(zhèn)居民消費(fèi)和農(nóng)村居民消費(fèi)的面板數(shù)據(jù)半?yún)?shù)模型,從總量角度對東、中、西部城鄉(xiāng)居民消費(fèi)與經(jīng)濟(jì)增長區(qū)域差異性進(jìn)行實(shí)證分析。 2.以人均GDP作為被解釋變量,人均食品、人均衣著、人均住房、人均家庭設(shè)備、人均醫(yī)療保健、人均交通通訊、人均教育文化娛樂、人均其他雜項(xiàng)8大類消費(fèi)支出作為解釋變量,分別建立城鎮(zhèn)居民和農(nóng)村居民消費(fèi)結(jié)構(gòu)與人均GDP的面板數(shù)據(jù)半?yún)?shù)計(jì)量經(jīng)濟(jì)模型,從結(jié)構(gòu)角度對東、中、西部城鄉(xiāng)居民消費(fèi)與經(jīng)濟(jì)增長區(qū)域差異性進(jìn)行實(shí)證分析。 3.根據(jù)分析結(jié)果,結(jié)合各地區(qū)的特點(diǎn),提出相應(yīng)的政策性建議。
[Abstract]:At present, China's economic growth is changing from mainly relying on investment, export pulling to relying on consumption, investment and export coordinated pull. Consumption is becoming an important factor and main driving force to stimulate China's economic growth. As the main body of consumption demand, the importance of resident consumption can not be ignored. Since China has a typical dual economic structure, the consumption of urban and rural residents has different effects on economic growth. In addition, after the reform of the economic system, the economic development in different regions of our country is not balanced. The impact of consumer expenditure on economic growth is quite different. From the perspective of the regional differences between urban and rural residents' consumption on economic growth, this paper uses the provincial panel data of 30 provinces (cities) from 1996 to 2011, based on the nonparametric kernel estimation method. The semi-parametric econometric model of panel data of urban and rural residents' consumption and economic growth is established, and the regional differences between consumption and economic growth are empirically analyzed from the two aspects of urban and rural areas. The specific research contents are as follows: 1. Taking GDP per capita as the indicator of economic growth, taking it as the explanatory variable and per capita consumption as the explanatory variable, the paper establishes the east and middle of China respectively. Based on the semi-parametric model of panel data between urban and rural residents' consumption in western China, this paper empirically analyzes the regional differences between urban and rural residents' consumption and economic growth in the east, middle and west from the perspective of total amount. 2. Taking per capita GDP as the explained variable, per capita food, per capita clothing, per capita housing, per capita household equipment, per capita health care, per capita transportation and communications, per capita education, culture and entertainment, and per capita other miscellaneous consumer expenditures as explanatory variables. The semi-parametric econometric model of panel data of urban and rural residents' consumption structure and per capita GDP is established, and the regional differences between urban and rural residents' consumption and economic growth in the east, middle and west are analyzed empirically from the perspective of structure. 3. According to the analysis results, combined with the characteristics of each region, the corresponding policy recommendations are put forward.
【學(xué)位授予單位】:河南科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:F224;F126.1;F124.1

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