本文選題：東北地區(qū) + 經(jīng)濟(jì)發(fā)展水平��； 參考：《遼寧師范大學(xué)》2014年碩士論文

【摘要】：地理空間實(shí)體往往是相互聯(lián)系的，在實(shí)體之間建立更密切的聯(lián)系特別是相近的實(shí)體這是Tobler在地理學(xué)中倡導(dǎo)的。區(qū)域經(jīng)濟(jì)發(fā)展的空間關(guān)聯(lián)已成為經(jīng)濟(jì)地理學(xué)研究的熱點(diǎn)之一。國(guó)內(nèi)外很多學(xué)者將ESDA的方法引入到對(duì)區(qū)域空間關(guān)聯(lián)研究做了很多嘗試。本文基于區(qū)域增長(zhǎng)極理論和空間相互作用理論等，利用探索性的空間數(shù)據(jù)分析ESDA工具Geoda（1.4.0版本）和Arcgis9.3，對(duì)東北地區(qū)空間關(guān)聯(lián)分析。選取2003年到2012年?yáng)|北地區(qū)236個(gè)單位人均GDP進(jìn)行空間關(guān)聯(lián)分析，分析結(jié)論找出產(chǎn)生區(qū)域差異的原因，為區(qū)域一體化發(fā)展提供參考。為實(shí)現(xiàn)縣域間有效互動(dòng)，打造具有競(jìng)爭(zhēng)力的縣域，促使縣域間實(shí)現(xiàn)協(xié)調(diào)、均衡發(fā)展，，早一天完成老工業(yè)基地振興戰(zhàn)略的目標(biāo)具有理論和實(shí)踐意義。 本文詳細(xì)介紹了區(qū)域經(jīng)濟(jì)發(fā)展空間關(guān)聯(lián)的理論，以及空間自相關(guān)理論的權(quán)重矩陣比較，對(duì)東北地區(qū)41個(gè)城市經(jīng)濟(jì)發(fā)展水平差異總體趨勢(shì)進(jìn)行分析，縣域經(jīng)濟(jì)空間總體格局簡(jiǎn)要說(shuō)明。采用ESDA方法對(duì)東北地區(qū)進(jìn)行了經(jīng)濟(jì)發(fā)展空間自相關(guān)分析，把東北地區(qū)236個(gè)縣域分成4個(gè)類型，并解釋經(jīng)濟(jì)發(fā)展產(chǎn)生差異的成因。主要結(jié)論如下： 第一，東北地區(qū)41城市絕對(duì)差異呈擴(kuò)大趨勢(shì)，相對(duì)差異呈縮小趨勢(shì)，總體差異呈緩慢縮小趨勢(shì)。 第二，東北地區(qū)經(jīng)濟(jì)水平空間格局總體上是由南向北，由東向西的格局，哈大經(jīng)濟(jì)帶和遼寧沿海經(jīng)濟(jì)帶逐步凸顯，形成以大城市為中心的核心—邊緣結(jié)構(gòu)。 第三，東北地區(qū)縣域經(jīng)濟(jì)空間上有正的相關(guān)性，蒙東地區(qū)和遼中南地區(qū)為高值集聚中心，遼西北地區(qū)和綏化及周邊地區(qū)為中心的低值集聚中心。 本文的創(chuàng)新之處體現(xiàn)在兩個(gè)方面：首先地級(jí)市和縣級(jí)市交互研究，更好的解釋東北地區(qū)經(jīng)濟(jì)差異的成因；其次實(shí)證的創(chuàng)新，運(yùn)用空間自相關(guān)方法對(duì)東北地區(qū)236個(gè)空間單位進(jìn)行區(qū)域經(jīng)濟(jì)水平關(guān)聯(lián)分析，并對(duì)236個(gè)單位進(jìn)行歸類。對(duì)經(jīng)濟(jì)發(fā)展水平的空間差異問(wèn)題的研究提供了一個(gè)定性與定量的相結(jié)合的研究框架。
[Abstract]:Geospatial entities are often interlinked, and establishing closer ties between entities, especially those close to each other, is advocated by Tobler in geography. Spatial correlation of regional economic development has become one of the hotspots in economic geography research. Many scholars at home and abroad have introduced the ESDA method to the research of regional spatial association. Based on the theory of regional growth pole and the theory of spatial interaction, this paper makes use of the exploratory ESDA tool Geodaer 1.4.0) and Arcgis 9.3 to analyze the spatial association in Northeast China. From 2003 to 2012, 236 units of per capita GDP in Northeast China were selected to carry out spatial correlation analysis. The results of the analysis find out the causes of regional differences and provide a reference for the development of regional integration. In order to achieve effective interaction between counties, build competitive counties, promote coordination and balanced development among counties, It is of theoretical and practical significance to complete the goal of revitalizing the old industrial base one day earlier. This paper introduces in detail the theory of spatial correlation of regional economic development and the comparison of the weight matrix of spatial autocorrelation theory. The general trend of economic development level difference in 41 cities in Northeast China is analyzed, and the general pattern of county economy space is briefly explained. The spatial autocorrelation analysis of economic development in Northeast China was carried out by using ESDA method. 236 counties in Northeast China were divided into 4 types and the causes of the differences in economic development were explained. The main conclusions are as follows: first, the absolute difference of 41 cities in Northeast China is increasing, the relative difference is decreasing, and the overall difference is decreasing slowly. Second, the spatial pattern of economic level in Northeast China is generally from south to north. The pattern from east to west, the economic belt of Harbin and Liaoning coastal areas gradually highlights, forming a core-edge structure centered on big cities. Third, there is a positive correlation in the space of county economy in Northeast China. Mengdong and central and southern Liaoning are high value agglomeration centers, and northwest Liaoning and Suihua and its surrounding regions are low value agglomeration centers. The innovation of this paper is embodied in two aspects: first, the interactive research between prefecture-level cities and county-level cities. Secondly, the paper uses spatial autocorrelation method to analyze the regional economic level correlation of 236 spatial units in Northeast China, and classifies 236 units. The research on the spatial difference of economic development level provides a qualitative and quantitative research framework.
【學(xué)位授予單位】：遼寧師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F127

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本文編號(hào)：1993322