本文關(guān)鍵詞：重慶市農(nóng)地非農(nóng)化時(shí)空動(dòng)態(tài)演進(jìn)與形成機(jī)理研究　出處：《西南大學(xué)》2016年博士論文　論文類型：學(xué)位論文

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【摘要】：自2014年起,受全球經(jīng)濟(jì)復(fù)蘇緩慢及國(guó)內(nèi)房地產(chǎn)市場(chǎng)低迷等多種不利因素影響,中國(guó)經(jīng)濟(jì)發(fā)展進(jìn)入“增速放緩”的新常態(tài),實(shí)現(xiàn)資源集約利用與構(gòu)建經(jīng)濟(jì)持續(xù)健康增長(zhǎng)新機(jī)制是現(xiàn)階段中國(guó)經(jīng)濟(jì)發(fā)展需要解決的核心問題。改革開放以來,中國(guó)城鎮(zhèn)化成績(jī)斐然,城鎮(zhèn)化水平從1978年的17.92%上升到2015年的56.10%,年均增長(zhǎng)1.03個(gè)百分點(diǎn)。農(nóng)地非農(nóng)化現(xiàn)象作為城鎮(zhèn)化過程中的必然產(chǎn)物,為中國(guó)的工業(yè)化和城鎮(zhèn)化提供了強(qiáng)力支撐,土地的“寬供應(yīng)”和“高消耗”保障了工業(yè)化和城鎮(zhèn)化的快速推進(jìn),但同時(shí)也造成建設(shè)用地低效利用、優(yōu)質(zhì)農(nóng)地大量流失、生態(tài)環(huán)境退化及社會(huì)不穩(wěn)定因素增加等一系列現(xiàn)實(shí)問題。伴隨社會(huì)經(jīng)濟(jì)發(fā)展、城鎮(zhèn)擴(kuò)張,非農(nóng)要素在空間上的不斷集聚,農(nóng)地非農(nóng)化現(xiàn)象在城市邊緣地區(qū)表現(xiàn)尤為活躍。而農(nóng)地非農(nóng)化水平時(shí)空分布差異則映射出區(qū)域自然本底條件、社會(huì)經(jīng)濟(jì)發(fā)展水平及其他關(guān)聯(lián)因素在空間上的不斷重組和異化。掌握區(qū)域農(nóng)地非農(nóng)化時(shí)空動(dòng)態(tài)演進(jìn)與形成機(jī)理,科學(xué)管控農(nóng)地非農(nóng)化進(jìn)程,是促進(jìn)經(jīng)濟(jì)發(fā)展過程中自然與人文可持續(xù)互動(dòng)的重要手段。目前,系統(tǒng)全面研究重慶市農(nóng)地非農(nóng)化問題的文獻(xiàn)尚不多見。重慶市兼具大城市、大農(nóng)村、大山區(qū)、大庫區(qū)特征,近年來,經(jīng)濟(jì)高速增長(zhǎng)、城鎮(zhèn)化快速推進(jìn),農(nóng)地非農(nóng)化時(shí)空分布差異顯著、變化劇烈、影響廣泛。本文在文獻(xiàn)分析評(píng)述和相關(guān)概念內(nèi)涵深入挖掘基礎(chǔ)上,基于資源環(huán)境統(tǒng)計(jì)理論和分析視角,將統(tǒng)計(jì)學(xué)計(jì)量模型融入到地理學(xué)時(shí)空探索中,借助SPSS、Eviews、Matalab、ArcGIS及Maxdeadea solver pro等數(shù)據(jù)和空間統(tǒng)計(jì)分析軟件平臺(tái),應(yīng)用Dagum基尼系數(shù)模型、非參數(shù)Kernel密度估計(jì)、地理探測(cè)器、協(xié)整和因果檢驗(yàn)、超效率SBM模型等研究方法,從“數(shù)量”和“質(zhì)量”角度,對(duì)重慶市不同階段農(nóng)地非農(nóng)化水平和效率時(shí)空動(dòng)態(tài)演進(jìn)規(guī)律進(jìn)行分析,重點(diǎn)圍繞農(nóng)地非農(nóng)化效率測(cè)算及損失、農(nóng)地非農(nóng)化投入與經(jīng)濟(jì)增長(zhǎng)的多變量互動(dòng)關(guān)系等問題,深入刻畫和剖析重慶市及所屬各區(qū)域農(nóng)地非農(nóng)化時(shí)空動(dòng)態(tài)演進(jìn)與形成機(jī)理,構(gòu)建了差別化的農(nóng)地非農(nóng)化科學(xué)管控策略。以期為地方相關(guān)部門制定政策、規(guī)劃及戰(zhàn)略提供科學(xué)依據(jù)和參考,促進(jìn)區(qū)域土地資源高效利用和社會(huì)經(jīng)濟(jì)健康可持續(xù)發(fā)展。論文研究?jī)?nèi)容與主要結(jié)論包括:首先,從“數(shù)量”角度,借助arcgis軟件平臺(tái),運(yùn)用dagum基尼系數(shù)和非參數(shù)kernel密度估計(jì)定量測(cè)算研究區(qū)農(nóng)地非農(nóng)化水平空間非均衡程度及動(dòng)態(tài)演進(jìn),并對(duì)農(nóng)地非農(nóng)化水平空間非均衡進(jìn)行解構(gòu)分析。結(jié)果表明:(1)重慶市農(nóng)地非農(nóng)化水平的時(shí)空動(dòng)態(tài)地域性差異特征明顯,呈現(xiàn)以區(qū)域Ⅰ為中心,區(qū)域Ⅱ?yàn)橐蝗?區(qū)域Ⅲ和區(qū)域Ⅳ為外圍的“中心——外圍”空間分異格局;(2)重慶市農(nóng)地非農(nóng)化水平分布表現(xiàn)出空間高度非均衡特征,其空間非均衡程度在研究時(shí)段內(nèi)呈現(xiàn)出明顯的w型波浪變化形態(tài),地區(qū)間差距仍是導(dǎo)致重慶市農(nóng)地非農(nóng)化水平空間非均衡形成的主因;(3)伴隨區(qū)域農(nóng)地非農(nóng)化水平不斷上升,其地區(qū)間差距呈擴(kuò)大態(tài)勢(shì)。其次,從“質(zhì)量”角度,本文在重點(diǎn)考慮農(nóng)地非農(nóng)化過程中對(duì)環(huán)境擾動(dòng)的情況下,構(gòu)建了包含經(jīng)濟(jì)、社會(huì)、生態(tài)在內(nèi)的全面投入、期望產(chǎn)出與非期望產(chǎn)出指標(biāo)體系,利用超效率sbm模型對(duì)研究區(qū)37個(gè)決策單元農(nóng)地非農(nóng)化效率進(jìn)行客觀、科學(xué)、合理和全面評(píng)估,并深入分析農(nóng)地非農(nóng)化效率損失的原因。測(cè)算結(jié)果表明:(1)2004—2013年重慶市農(nóng)地非農(nóng)化效率隨時(shí)間呈現(xiàn)出波動(dòng)性起伏,且決策單元效率空間分布不均勻、差異顯著,整體水平亟待改善;(2)從投入與產(chǎn)出的冗余來看,引致各決策單元農(nóng)地非農(nóng)化效率損失的原因呈現(xiàn)多樣性,主要包括農(nóng)地非農(nóng)化數(shù)量投入冗余、非期望產(chǎn)出過量、投入要素不匹配、期望產(chǎn)出不足;(3)通過交叉對(duì)比分析發(fā)現(xiàn),農(nóng)地非農(nóng)化數(shù)量投入冗余和土地利用過程中外部不經(jīng)濟(jì)性是導(dǎo)致重慶市農(nóng)地非農(nóng)化效率損失兩個(gè)最重要的因素,農(nóng)地非農(nóng)化進(jìn)程中資源和環(huán)境存在較大節(jié)約和保護(hù)空間。提高資源的利用效率、降低農(nóng)地非農(nóng)化的過度消耗、加大環(huán)境保護(hù)投入和治理環(huán)境污染力度成為提高區(qū)域農(nóng)地非農(nóng)化效率的重要途徑。第三,由于農(nóng)地非農(nóng)化效率損失的主因是數(shù)量投入冗余,因此還需從數(shù)量角度回溯和進(jìn)一步挖掘重慶市及不同區(qū)域農(nóng)地非農(nóng)化水平形成機(jī)理。本文采用地理探測(cè)器模型,從地理空間視角對(duì)區(qū)域農(nóng)地非農(nóng)化水平影響因素進(jìn)行定量研究,結(jié)果表明:(1)要素稟賦、經(jīng)濟(jì)發(fā)展水平、社會(huì)發(fā)展?fàn)顩r及政策制度環(huán)境分別是影響研究區(qū)農(nóng)地非農(nóng)化水平空間分異的基礎(chǔ)條件、內(nèi)在動(dòng)力、中堅(jiān)力量和外在條件;(2)影響不同區(qū)域農(nóng)地非農(nóng)化水平的主導(dǎo)因素具有顯著差異性:區(qū)域Ⅰ的主導(dǎo)因素為區(qū)位優(yōu)勢(shì)、非農(nóng)產(chǎn)業(yè)要素和人口的空間集聚,區(qū)域Ⅱ的主導(dǎo)因素是第二產(chǎn)業(yè)的快速發(fā)展和非農(nóng)人口集聚;區(qū)域Ⅲ和區(qū)域Ⅳ主要受區(qū)位、地形、路網(wǎng)密度和產(chǎn)業(yè)結(jié)構(gòu)趨同、產(chǎn)業(yè)基礎(chǔ)薄弱等自然和社會(huì)因素制約,農(nóng)地非農(nóng)化進(jìn)程主要表現(xiàn)為政策驅(qū)動(dòng)下的城鎮(zhèn)化推動(dòng)。第四,由于經(jīng)濟(jì)增長(zhǎng)是影響研究區(qū)農(nóng)地非農(nóng)化水平空間分異的內(nèi)在動(dòng)力與核心要素,故需進(jìn)一步厘清農(nóng)地非農(nóng)化投入與經(jīng)濟(jì)增長(zhǎng)之間互動(dòng)機(jī)理。本文將資本投入、勞動(dòng)力投入作為中介變量引入基于生產(chǎn)函數(shù)的多變量因果關(guān)系研究模型,分析重慶市農(nóng)地非農(nóng)化投入與經(jīng)濟(jì)增長(zhǎng)之間的長(zhǎng)短期因果關(guān)系,經(jīng)過規(guī)范的計(jì)量經(jīng)濟(jì)方法檢驗(yàn)和實(shí)證分析,結(jié)果表明:(1)重慶市農(nóng)地非農(nóng)化數(shù)量(土地)、二三產(chǎn)業(yè)資本存量(資本)、二三產(chǎn)業(yè)勞動(dòng)力投入(勞動(dòng)力)與二三產(chǎn)業(yè)產(chǎn)值(經(jīng)濟(jì)增長(zhǎng))存在長(zhǎng)期均衡穩(wěn)定的協(xié)整關(guān)系;(2)短期內(nèi),當(dāng)顯著性水平為0.05時(shí),農(nóng)地非農(nóng)化投入與二三產(chǎn)業(yè)資本存量存在雙向因果關(guān)系,與經(jīng)濟(jì)增長(zhǎng)不存在單向或雙向因果關(guān)系,農(nóng)地非農(nóng)化投入并不能直接推動(dòng)重慶市經(jīng)濟(jì)的增長(zhǎng),其對(duì)于經(jīng)濟(jì)增長(zhǎng)的影響具有一定的傳滯性,研究區(qū)經(jīng)濟(jì)增長(zhǎng)主要是依靠二三產(chǎn)業(yè)資本存量投入和二三產(chǎn)業(yè)勞動(dòng)力投入推動(dòng);(3)從長(zhǎng)期因果關(guān)系檢驗(yàn)來看,當(dāng)顯著性水平為0.05時(shí),由于建設(shè)和產(chǎn)業(yè)發(fā)展周期滯后影響,只存在從經(jīng)濟(jì)增長(zhǎng)到農(nóng)地非農(nóng)化投入的單向因果關(guān)系。因此,從長(zhǎng)短期來看,農(nóng)地非農(nóng)化投入對(duì)重慶市地區(qū)經(jīng)濟(jì)的快速增長(zhǎng)并不存在直接因果關(guān)系�；谏鲜鲅芯拷Y(jié)論,為實(shí)現(xiàn)重慶市農(nóng)地非農(nóng)化合理管控前提下經(jīng)濟(jì)持續(xù)健康增長(zhǎng)目標(biāo),需從“數(shù)量”和“質(zhì)量”角度,綜合考慮研究區(qū)農(nóng)地非農(nóng)化水平與效率的時(shí)空動(dòng)態(tài)演進(jìn)規(guī)律、影響不同區(qū)域農(nóng)地非農(nóng)化水平空間分異的主導(dǎo)因素及農(nóng)地非農(nóng)化投入與經(jīng)濟(jì)增長(zhǎng)之間的互動(dòng)關(guān)系。據(jù)此,提出六項(xiàng)具體措施:因地制宜實(shí)行差別化的區(qū)域農(nóng)地非農(nóng)化管控政策;摒棄固有的計(jì)劃經(jīng)濟(jì)思維習(xí)慣,規(guī)范政府在資源配置中的行為;打破地方政府“土地財(cái)政”依賴,多渠道融資破解資金瓶頸難題;積極推進(jìn)新型城鎮(zhèn)化,促進(jìn)農(nóng)民就地城鎮(zhèn)化;地方政府加大對(duì)“三農(nóng)”投入,縮小城鄉(xiāng)之間差距;轉(zhuǎn)變經(jīng)濟(jì)增長(zhǎng)方式,推動(dòng)供給側(cè)改革實(shí)現(xiàn)土地資源集約利用。論文可能的創(chuàng)新點(diǎn)包括:(1)將統(tǒng)計(jì)學(xué)計(jì)量模型融入到地理學(xué)時(shí)空探索中,實(shí)現(xiàn)對(duì)重慶市農(nóng)地非農(nóng)化水平時(shí)空動(dòng)態(tài)演進(jìn)與形成機(jī)理的定性、定量與定位分析有效結(jié)合。采用計(jì)量經(jīng)濟(jì)模型—dagum基尼系數(shù)和非參數(shù)kernel密度估計(jì),分析重慶市農(nóng)地非農(nóng)化水平時(shí)空動(dòng)態(tài)演進(jìn)過程及空間非均衡特征,將影響農(nóng)地非農(nóng)化水平的自然條件和宏觀社會(huì)經(jīng)濟(jì)等因素固化到地理空間,并運(yùn)用空間計(jì)量分析模型——地理探測(cè)器對(duì)重慶市及不同區(qū)域農(nóng)地非農(nóng)化水平影響因素的決定力進(jìn)行定量分析,打破了現(xiàn)有研究中影響因素決定力在空間分布上是均質(zhì)的假設(shè),拓寬了農(nóng)地非農(nóng)化形成機(jī)理的研究視角,豐富了農(nóng)地非農(nóng)化的研究?jī)?nèi)容;(2)進(jìn)一步挖掘了農(nóng)地非農(nóng)化效率內(nèi)涵,注重農(nóng)地非農(nóng)化進(jìn)程中對(duì)社會(huì)和環(huán)境的影響,構(gòu)建了一種包含投入、期望產(chǎn)出與非期望產(chǎn)出的新型農(nóng)地非農(nóng)化效率評(píng)價(jià)指標(biāo)體系,產(chǎn)出指標(biāo)選取涵蓋經(jīng)濟(jì)、社會(huì)、環(huán)境三個(gè)維度,運(yùn)用超效率SBM模型考察了重慶市37個(gè)決策單元農(nóng)地非農(nóng)化效率的時(shí)空演化特征,彌補(bǔ)了現(xiàn)有研究忽略社會(huì)產(chǎn)出和環(huán)境非期望產(chǎn)出的局限,克服了傳統(tǒng)DEA模型無法對(duì)效率有效的決策單元進(jìn)行再排序的缺陷,對(duì)于其他區(qū)域農(nóng)地非農(nóng)化效率評(píng)估具有一定的借鑒意義;(3)將資本投入和勞動(dòng)力投入作為中介變量引入基于生產(chǎn)函數(shù)的多變量因果關(guān)系研究模型,轉(zhuǎn)變了現(xiàn)有研究探討農(nóng)地非農(nóng)化化與經(jīng)濟(jì)增長(zhǎng)之間因果關(guān)系時(shí)多基于雙變量的思路,在研究思路上具有一定的探索性。
[Abstract]:Since 2014, affected by the global economic recovery is slow and the domestic real estate market downturn and other unfavorable factors, Chinese economic development has entered a new normal slowdown ", realize the intensive utilization of resources and the construction of the sustained and healthy economic growth mechanism is the core issue at the present stage China economic development need to be solved. Since the reform and opening up, Chinese town of success, the level of urbanization increased from 17.92% in 1978 to 56.10% in 2015, an average annual growth rate of 1.03 percentage points. The farmland conversion phenomenon in the process of urbanization as the inevitable product, providing strong support for the China of industrialization and urbanization, the land of the" wide supply "and" high consumption "to protect the rapid advance industrialization and urbanization, but also caused the construction of land use efficiency, the loss of a large number of high-quality agricultural land, ecological environment degradation and increase social instability and a series of now The real problem with the social and economic development, urban expansion, non-agricultural elements in the space of continuous agglomeration, farmland conversion phenomenon at the edge of the city area is particularly active. While the farmland non agriculturalization level difference is reflected in the temporal and spatial distribution of regional natural background conditions, and other related factors of economic and social development level unceasing reorganization and alienation in space the area of farmland. Grasp the space-time dynamic evolution and conversion mechanism, the scientific management of the process of farmland conversion, is an important means to promote sustainable natural and human interaction in the process of economic development. At present, systematic and comprehensive study of Chongqing city land conversion in the literature is rare. Chongqing city has the big city, large rural areas, mountains area, large reservoir characteristics, in recent years, rapid economic growth, rapid urbanization, farmland conversion distribution difference significantly, change, influence widely. In this paper Analysis of the connotation and related concepts on offer in-depth mining based on resources and environment statistics theory and analysis based on the perspective of the statistical measurement model into geography space exploration, with the help of SPSS, Eviews, Matalab, ArcGIS and Maxdeadea solver pro data and spatial statistical analysis software platform, Dagum application of Gini coefficient model, nonparametric density estimation Kernel geography, detector, cointegration and Granger causality test, the super efficiency SBM model and other research methods, from the "quantity" and "quality" view of Chongqing in different stage of farmland conversion and space-time dynamic evolution level of efficiency analysis, the focus on farmland loss calculation and conversion efficiency, non agriculturalization of farmland input and economic growth multivariable interaction problems, and in-depth characterization of Chongqing City, and the area of farmland conversion, space-time dynamic evolution and formation mechanism, construct the difference The scientific management strategy of non agriculturalization of farmland. In order to make policies for the local relevant departments, planning and strategy to provide a scientific basis and reference, to promote the efficient use of regional land resources and the sustainable development of social and economic health. Research contents and main conclusions are as follows: firstly, from the angle of "quantity", with the help of ArcGIS software, using dagum Gini kernel coefficient and non parametric density estimation of quantitative calculation on the farmland region of non agriculturalization level space unbalanced degree and dynamic evolution, and the farmland conversion level of non balanced deconstruction analysis. The results showed that: (1) temporal and spatial dynamics of regional differences of land conversion in Chongqing city level characteristics, present in region I as the center region II is a circle, region III and IV was peripheral region "core periphery" spatial pattern; (2) Chongqing farmland conversion level distribution show space Highly unbalanced characteristics, the equilibrium degree appears w wave shape changes significantly during the study period of the space, the gap between regions is still in Chongqing city farmland conversion level due to unbalanced spatial form; (3) with regional land conversion levels rise, the gap between regions has been broadened. Secondly, from the perspective of "quality", this paper focus on the farmland conversion in the process of environmental disturbance on the case, which contains economic, social, ecological, comprehensive investment, expected output and non expected output index system, using the super efficiency SBM model of the 37 decision making unit farmland study area conversion efficiency objective. The scientific, reasonable and comprehensive assessment, and in-depth analysis of the reasons of farmland conversion efficiency loss. The results showed that: (1) 2004 - 2013 in Chongqing City, farmland conversion efficiency with time is the volatility of ups and downs, and Decision making unit efficiency of spatial distribution is not uniform, significant differences, the overall level should be improved; (2) from the redundant input and output, the reason of each decision making unit farmland conversion efficiency loss caused by diversity, including the number of non-agricultural land input redundancy, undesirableoutputs excess input does not match the expected output deficiency; (3) through cross comparison and analysis found that the number of non-agricultural land input and land use external diseconomy is the result of Chongqing farmland conversion efficiency loss of two of the most important factors, there is a big space saving and protection of resources and environment in the process of farmland conversion. Improve resource utilization efficiency, reduce farmland the excessive consumption of non agriculture, increase investment in environmental protection and pollution control efforts to become an important way to improve regional land conversion efficiency. Third, due to land conversion The main reason is the loss of efficiency number of input redundancy, so we need to backtrack and further excavation in Chongqing city and different areas of farmland conversion level formation mechanism in terms of quantity. This paper uses geographic detector model, quantitative research, from the perspective of geographical space regional farmland conversion factors influence the level of results showed that: (1) the factor endowment, economic development the level of development and the policy system of social environment is the basic condition of the study area is farmland conversion level spatial difference of intrinsic motivation, backbone and external conditions; (2) the leading factors influencing the different areas of farmland conversion level has significant difference: the dominant factor for the area I regional advantages, non-agricultural industries the elements and the spatial concentration of population, the dominant factor is the rapid development of the regional industry agglomeration and the non-agricultural population of second; Area III and Region IV is mainly affected by the location. The shape, density of road network and the convergence of industrial structure restricts the weak industrial base and other natural and social factors, the process of farmland conversion is mainly driven by the policy of promoting urbanization. Fourth, because economic growth is the influence of farmland internal driving force and core elements of non-agricultural level spatial differentiation, so it is necessary to further clarify the farmland the interaction mechanism between agricultural investment and economic growth. In this paper, capital investment, labor input as intermediary variables into a multivariate study of causal model based on production function, analysis of Chongqing city farmland long-term causal relationship between agricultural investment and economic growth, through econometric method standard test and empirical analysis, results showed that: (1 Chongqing city) the number of non-agricultural land (land), two or three industrial capital (capital), the two or three industry labor (labor) and the output of the two or three industry (Economic Growth) cointegration relationship exists between a stable long-run equilibrium; (2) in the short term, when the significant level is 0.05, there is a two-way causal relationship between agricultural investment and the two or three industry capital stock of farmland, there is no one-way or two-way causal relationship with economic growth, farmland conversion investment does not directly promote the economic growth of Chongqing city. It has passed a certain lag for economic growth, economic growth in this area is mainly rely on the two or three industry and the two or three industry capital investment to promote labor input; (3) from the long-term causality test, when the significant level is 0.05, because of the construction and industrial development cycle lagged effects exist only to farmland conversion into unidirectional causality from economic growth. Therefore, from the long-term view, agricultural investment for rapid economic growth in Chongqing city there is no direct causal relationship based on farmland. The conclusion of the study, for the realization of Chongqing farmland conversion under the premise of reasonable control of the sustained and healthy economic growth target, from the "quantity" and "quality" point of view, considering the study area of farmland conversion level and efficiency of the space-time dynamic evolution rule, the dominant factors influencing regional land conversion level spatial differentiation and farmland the interactive relationship between agricultural investment and economic growth. Accordingly, put forward six specific measures: to implement differentiated regional farmland conversion control policy; abandon the inherent planned economy thinking habits, regulate the behavior of the government in the allocation of resources; to break the local government land finance dependence, the bottleneck of financing to crack financial problems; actively promote the new urbanization, promoting farmers in situ urbanization; local government to increase the "three rural" investment, narrowing the gap between urban and rural areas; the transformation of the economic growth The supply side reform implementation, promote the intensive use of land resources. The possible innovation of this paper includes: (1) the statistical measurement model into geography space exploration, the space-time dynamic evolution of qualitative agriculture level and formation mechanism of farmland in Chongqing City, the effective combination of the quantitative and positioning analysis econometric model dagum Gini. Coefficient and non parametric density estimation using kernel, analysis of Chongqing city land conversion level space-time dynamic evolution and non balanced characteristics will affect the farmland conversion level of natural conditions and social economic factors such as macro curing to the geographical space, and using spatial econometric analysis model: geographical detector in Chongqing city and different areas of farmland decision force agricultural level of the influence factors of quantitative analysis, breaking the existing research factors determine the force effect on the spatial distribution is homogeneous hypothesis, Broaden the research perspective of farmland conversion mechanism, enrich the research content of land conversion; (2) to further tap the connotation of farmland conversion efficiency, pay attention to farmland influence on society and the environment in the process of urbanization, the construction of a new farmland includes input, output and expected non expected output non evaluation index system conversion efficiency, output indicators covering economic, social and environment in three dimensions, using super efficiency SBM model to examine the 37 decision making unit land conversion efficiency of Chongqing City, the spatio-temporal evolution characteristics, make up the existing research output and ignore the social environment undesirableoutputs limitations, to overcome the traditional DEA model can not be defects sort of decision making unit efficiency, the conversion efficiency evaluation has certain reference significance to other non farmland area; (3) the capital investment and labor input as the intermediary variable A multivariate causality model based on production function is introduced. The transformation of existing research on the causal relationship between farmland conversion and economic growth is based on the idea of two variables. It has certain explorations in research thinking.

【學(xué)位授予單位】：西南大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：F321.1
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本文編號(hào)：1426601