城市群內(nèi)部縣域相對空間區(qū)位指數(shù)研究
本文選題:城市群 + 縣域區(qū)位指數(shù); 參考:《燕山大學》2014年碩士論文
【摘要】:近年來,城市群逐步成為發(fā)展區(qū)域經(jīng)濟的有力方式,同時縣域經(jīng)濟作為基礎(chǔ)的行政型區(qū)域經(jīng)濟也獲得越來越多的關(guān)注。但是,已有的研究成果大多將二者分割開來獨立地進行分析,而沒有重視二者間的聯(lián)系。事實上,城市群由城市和縣域組成,縣域是城市群的基礎(chǔ)單元,二者是整體與部分的關(guān)系,其發(fā)展是并行不悖,相互促進的?h域在城市群中有其獨特的空間區(qū)位,這種區(qū)位由城市群內(nèi)部元素的關(guān)系決定,且作為外生變量影響著縣域技術(shù)效率水平,這正是本文的研究重點。本文以隨機生產(chǎn)邊界模型為工具,對縣域相對空間區(qū)位變量進行計量研究,并最終得到一個衡量該區(qū)位的指數(shù)。 首先,從城市群、縣域經(jīng)濟、技術(shù)效率等方面的研究背景與國內(nèi)外現(xiàn)狀出發(fā),指出現(xiàn)有研究中存在的斷裂部分。以此為切入點結(jié)合相關(guān)理論與中國城市群與縣域的現(xiàn)狀,建立其本文研究的理論框架。 其次,選定隨機生產(chǎn)邊界分析法為論文分析的主要工具,對其進行理論解釋和模型構(gòu)建的介紹。以中國23個城市群、769個縣域、161個地級以上城市、6年的經(jīng)濟面板數(shù)據(jù)為研究客體,構(gòu)建引入了空間區(qū)位變量的縣域技術(shù)效率測度的隨機生產(chǎn)邊界模型。 再次,,基于城市群、城市、縣域間的結(jié)構(gòu)關(guān)系,設(shè)計三大方面共18項空間區(qū)位變量。以方差膨脹因子檢驗法為工具,最終選取13項空間區(qū)位變量進行下一步的組合。繼而通過建立技術(shù)無效率影響模型的方法,確定出空間區(qū)位變量的最優(yōu)組合形式。 最后,以得到的最優(yōu)組合形式為基礎(chǔ),經(jīng)過調(diào)整,構(gòu)建出衡量城市群內(nèi)部縣域相對空間區(qū)位的指數(shù),并對其進行各方面檢驗。結(jié)果證明該指數(shù)對現(xiàn)實區(qū)位確實具有較好地描述能力。從該指數(shù)的形式出發(fā),對如何優(yōu)化縣域相對空間區(qū)位提出相應的政策建議。
[Abstract]:In recent years, the urban agglomeration has gradually become a powerful way to develop the regional economy. At the same time, the administrative regional economy of the county economy is also getting more and more attention. However, most of the existing research results are divided into two separate analysis, without paying attention to the connection between the two. In fact, the urban agglomeration is from the city and the county domain. The county is the basic unit of the city group, and the two is the relationship of the whole and the part. The development of the county is not inconsistent with each other. The county has its unique spatial location in the city group. This location is determined by the relationship between the inner elements of the city group and the level of the county technical efficiency as an exogenous variable. This is the study of this article. In this paper, we use the stochastic production boundary model as a tool to measure the relative spatial location variables of counties, and finally get an index to measure the location.
First, from the research background of the urban agglomeration, the county economy, the technical efficiency and so on, we point out the existing fracture parts in the study. In this way, the theoretical frame of this paper is set up in combination with the relevant theories and the status of the urban agglomeration and the county in China.
Secondly, the random production boundary analysis method is selected as the main tool for the analysis of the paper, and the theoretical explanation and model construction are introduced. 23 cities in China, 769 counties, 161 cities and more cities, and 6 years' economic panel data are the research objects, and the random production of the county technical efficiency measure which has introduced the space location variable is constructed. Boundary model.
Thirdly, based on the structural relationship between urban groups, cities and counties, 18 spatial location variables are designed in three aspects. With the method of variance expansion factor test as a tool, the final combination of 13 spatial location variables is selected. Then, the optimal combination of spatial location variables is determined by establishing the method of influencing the model of technical inefficiency. Form.
Finally, based on the optimal combination form obtained, the index of relative spatial location in the county area of the city group is constructed and tested in various aspects. The result shows that the index has a good description ability for the actual location. Corresponding policy recommendations.
【學位授予單位】:燕山大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F127;F224
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