本文選題：農(nóng)業(yè)全要素生產(chǎn)率 + Malmquist指數(shù)　； 參考：《內(nèi)蒙古財(cái)經(jīng)大學(xué)》2017年碩士論文

【摘要】：我國(guó)是以農(nóng)業(yè)為主的發(fā)展中國(guó)家,內(nèi)蒙古作為全國(guó)糧食主產(chǎn)區(qū)之一,為我國(guó)的糧食安全作出了突出的貢獻(xiàn),農(nóng)業(yè)的發(fā)展也影響著內(nèi)蒙古經(jīng)濟(jì)的發(fā)展。近年來(lái),根據(jù)國(guó)家統(tǒng)計(jì)年鑒上的數(shù)據(jù),內(nèi)蒙古農(nóng)業(yè)耕種面積位居全國(guó)第二,糧食總產(chǎn)量位居第十。本文擬對(duì)內(nèi)蒙古農(nóng)業(yè)的發(fā)展進(jìn)行實(shí)證研究,以探究其內(nèi)在的因素,為對(duì)策提供參考。本文主要結(jié)構(gòu)安排如下:本文的第一部分,為第一章緒論和第二章理論基礎(chǔ)。主要介紹了一些與本文寫(xiě)作相關(guān)的概念,并對(duì)國(guó)內(nèi)外相關(guān)學(xué)者的研究進(jìn)行了梳理和分析,對(duì)全要素生產(chǎn)率的概念進(jìn)行了介紹,并介紹了影響全要素生產(chǎn)率的具體因素,最后介紹了三種測(cè)算全要素生產(chǎn)率的方法,即索洛余值法、數(shù)據(jù)包絡(luò)分析法和隨機(jī)前沿分析法,本文所選取的方法主要為基于數(shù)據(jù)包絡(luò)分析的指數(shù)方法。接下來(lái)的部分,即第三章和第四章,首先收集了內(nèi)蒙古2001年—2015年間的各項(xiàng)數(shù)據(jù),首先從時(shí)空和空間上分別對(duì)內(nèi)蒙古農(nóng)業(yè)全要素生產(chǎn)率進(jìn)行了測(cè)算,并對(duì)全要素生產(chǎn)率的測(cè)算結(jié)果進(jìn)行分解測(cè)算,最終的結(jié)果整理成表格的形式。其次,通過(guò)收斂性分析對(duì)所得結(jié)果進(jìn)行時(shí)空和空間的對(duì)比分析,具體展開(kāi)分析了各盟市農(nóng)業(yè)全要素的變化規(guī)律。最后,測(cè)算的結(jié)果進(jìn)行更深一步的研究,通過(guò)實(shí)證研究來(lái)得出影響內(nèi)蒙古農(nóng)業(yè)發(fā)展的具體影響因素,并具體測(cè)算了每項(xiàng)指標(biāo)對(duì)全要素生產(chǎn)率的影響是多少、是正是負(fù),擬為后文提出對(duì)策作參考。最后一部分為本文的結(jié)論與對(duì)策建議。本文得出的基本結(jié)論是:內(nèi)蒙古全要素生產(chǎn)率在15年中一直保持上升趨勢(shì),近幾年開(kāi)始有平緩發(fā)展跡象,內(nèi)蒙古各地技術(shù)發(fā)展趨于相同態(tài)勢(shì),說(shuō)明各地技術(shù)差異在縮小,技術(shù)進(jìn)步的提高是帶動(dòng)內(nèi)蒙古農(nóng)業(yè)經(jīng)濟(jì)發(fā)展的動(dòng)力,但是技術(shù)效率并沒(méi)有帶來(lái)規(guī)模效率的提升,這也是制約內(nèi)蒙古農(nóng)業(yè)發(fā)展的問(wèn)題所在。本文最后針對(duì)于實(shí)證研究得出的這一結(jié)論提出對(duì)策建議,希望針對(duì)規(guī)模效率提出一些切實(shí)可行的建議。
[Abstract]:China is a developing country based on agriculture. As one of the main grain producing areas in China, Inner Mongolia has made outstanding contribution to the grain security of our country. The development of agriculture also affects the development of Inner Mongolia's economy. In recent years, according to the data on the National Statistical Yearbook, the agricultural cultivation area in Inner Mongolia ranks second in the country and the total grain output position. Tenth. This article intends to carry out an empirical study on the development of agriculture in Inner Mongolia in order to explore the internal factors and provide reference for the countermeasures. The main structure of this paper is as follows: the first part of this article is the first chapter and the theoretical basis of the second chapter. It mainly introduces some concepts related to the writing of this article, and studies the relevant scholars at home and abroad. The concept of total factor productivity (TFP) is introduced and the specific factors affecting the total factor productivity are introduced. At last, three methods to calculate the total factor productivity are introduced, which are Solow residual method, data envelopment analysis and stochastic frontier analysis. The main methods selected in this paper are data envelopment based on data envelopment. The following part, the third chapter and the fourth chapter, first collects the data of Inner Mongolia from 2001 to 2015, first calculates the total factor productivity of Inner Mongolia agriculture from time and space and space, and calculates the results of the total factor productivity calculation, and the final result is formed into a table. Secondly, through the convergence analysis of the results of the results of the comparison and analysis of space and space, the detailed analysis of the changes in the whole factors of agricultural elements in each city. Finally, the results of a further study, through empirical research to affect the specific factors affecting the development of agricultural development in Inner Mongolia, and calculate each of the specific factors. The final part is the conclusion and Countermeasures of this article. The basic conclusion of this article is that the total factor productivity of Inner Mongolia has maintained a rising trend in 15 years, and there has been a gentle development in recent years, and the technology of Inner Mongolia has been developed in all parts of Inner Mongolia. The exhibition tends to the same situation, indicating that the technical differences are narrowing and the improvement of technology is the driving force to promote the development of agricultural economy in Inner Mongolia, but the technical efficiency does not bring about the promotion of scale efficiency. This is also the problem that restricts the development of agricultural development in Inner Mongolia. I hope to put forward some practical suggestions for scale efficiency.
【學(xué)位授予單位】：內(nèi)蒙古財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F224;F327

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李兆亮;羅小鋒;張俊飚;陳祺琪;;農(nóng)業(yè)科研要素投入的時(shí)空差異及其影響因素[J];中國(guó)科技論壇;2016年02期

2 謝杰;李鵬;;中國(guó)農(nóng)業(yè)現(xiàn)代化進(jìn)程直接影響因素與空間溢出效應(yīng)[J];農(nóng)業(yè)經(jīng)濟(jì)問(wèn)題;2015年08期

3 高帆;;我國(guó)區(qū)域農(nóng)業(yè)全要素生產(chǎn)率的演變趨勢(shì)與影響因素——基于省際面板數(shù)據(jù)的實(shí)證分析[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2015年05期

4 朱萌;齊振宏;鄔蘭婭;李欣蕊;唐素云;;新型農(nóng)業(yè)經(jīng)營(yíng)主體農(nóng)業(yè)技術(shù)需求影響因素的實(shí)證分析——以江蘇省南部395戶(hù)種稻大戶(hù)為例[J];中國(guó)農(nóng)村觀察;2015年01期

5 馬林靜;王雅鵬;田云;;中國(guó)糧食全要素生產(chǎn)率及影響因素的區(qū)域分異研究[J];農(nóng)業(yè)現(xiàn)代化研究;2014年04期

6 趙凱;魏珊;畢影;;農(nóng)戶(hù)加入不同農(nóng)業(yè)產(chǎn)業(yè)化經(jīng)營(yíng)模式意愿的影響因素分析[J];華中農(nóng)業(yè)大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2013年03期

7 張若琳;連麗霞;;影響中國(guó)創(chuàng)意農(nóng)業(yè)發(fā)展的主要因素分析[J];山東農(nóng)業(yè)大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年01期

8 潘丹;應(yīng)瑞瑤;;中國(guó)水資源與農(nóng)業(yè)經(jīng)濟(jì)增長(zhǎng)關(guān)系研究——基于面板VAR模型[J];中國(guó)人口.資源與環(huán)境;2012年01期

9 李谷成;陳寧陸;閔銳;;環(huán)境規(guī)制條件下中國(guó)農(nóng)業(yè)全要素生產(chǎn)率增長(zhǎng)與分解[J];中國(guó)人口.資源與環(huán)境;2011年11期

10 呂超;周應(yīng)恒;;我國(guó)農(nóng)業(yè)產(chǎn)業(yè)集聚與農(nóng)業(yè)經(jīng)濟(jì)增長(zhǎng)的實(shí)證研究——基于蔬菜產(chǎn)業(yè)的檢驗(yàn)和分析[J];南京農(nóng)業(yè)大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2011年02期

，

本文編號(hào)：2040385