本文選題：空間權(quán)重矩陣 + 空間自相關(guān)性��； 參考：《青島大學(xué)》2017年碩士論文

【摘要】：空間權(quán)重矩陣的選取問(wèn)題是空間統(tǒng)計(jì)學(xué)中一個(gè)重要的研究熱點(diǎn)。研究發(fā)現(xiàn),空間權(quán)重矩陣不同,商品價(jià)格空間關(guān)系結(jié)果不盡相同,甚至差異較大。對(duì)商品價(jià)格空間關(guān)系認(rèn)識(shí)不清,不利于商品價(jià)格管理、市場(chǎng)整合等。如何正確選取并設(shè)計(jì)空間權(quán)重矩陣,進(jìn)而對(duì)商品價(jià)格的空間屬性進(jìn)行較為科學(xué)合理的判斷,是目前研究領(lǐng)域的薄弱之處。本文首先對(duì)歷年國(guó)內(nèi)外空間權(quán)重矩陣研究文獻(xiàn)進(jìn)行梳理。其次,對(duì)多類空間權(quán)重矩陣的理論知識(shí)進(jìn)行闡述,對(duì)文中可能涉及到的其他理論知識(shí)進(jìn)行概述。然后,利用不同種類的空間權(quán)重矩陣對(duì)食品類、衣著類、住房服務(wù)類、交通服務(wù)類四大類中的具體商品進(jìn)行實(shí)證分析,重點(diǎn)在于比較不同空間權(quán)重矩陣對(duì)各類產(chǎn)品的影響及差異,達(dá)到對(duì)產(chǎn)品價(jià)格空間屬性進(jìn)行判斷的目的。最后,利用空間計(jì)量模型對(duì)商品的影響因素進(jìn)行分析,進(jìn)而得到其傳導(dǎo)機(jī)制,得到的基本結(jié)論如下:(1)對(duì)不同權(quán)重矩陣進(jìn)行參數(shù)優(yōu)化時(shí),每一種權(quán)重矩陣都有不同的構(gòu)造原理與影響因素,對(duì)不同種類產(chǎn)品空間關(guān)系的影響不盡相同。概況來(lái)說(shuō),適用范圍從大到小依次排序?yàn)?復(fù)合權(quán)重矩陣、距離權(quán)重矩陣、鄰接權(quán)重矩陣、高階權(quán)重矩陣。不同的商品,判斷空間屬性的最優(yōu)權(quán)重矩陣也不盡相同。(2)對(duì)于食品類、衣著類、住房服務(wù)類、交通服務(wù)類這四個(gè)類別的商品來(lái)說(shuō),食品類中大多數(shù)的蔬菜類商品與養(yǎng)殖類商品具有空間自相關(guān)性,而該類別其他商品空間自相關(guān)性較弱。衣著類、住房服務(wù)類和交通服務(wù)類商品幾乎不存在空間自相關(guān)性。(3)如果將商品分為政府限價(jià)商品及非限價(jià)商品,可以發(fā)現(xiàn)政府非限價(jià)商品大部分具有較強(qiáng)的空間自相關(guān)性,少部分相關(guān)性較弱,原因這些產(chǎn)品無(wú)論是通過(guò)網(wǎng)絡(luò)途徑還是實(shí)體店途徑,各地價(jià)格差異相對(duì)較小。政府限價(jià)商品的空間自相關(guān)性相對(duì)于政府非限價(jià)商品來(lái)說(shuō)要低,且政府限價(jià)商品中可流通商品的空間自相關(guān)性要強(qiáng)于不可流通商品。(4)結(jié)合實(shí)際情況,借助空間計(jì)量模型發(fā)現(xiàn)具有空間屬性的商品價(jià)格主要是受交通成本以及替代品價(jià)格的影響程度較大。
[Abstract]:The selection of spatial weight matrix is an important research hotspot in spatial statistics. It is found that the spatial relationship of commodity prices is different or even quite different with the spatial weight matrix. Not clear understanding of the spatial relationship of commodity prices, not conducive to commodity price management, market integration and so on. How to correctly select and design the spatial weight matrix and then make a more scientific and reasonable judgment on the spatial attribute of commodity price is the weakness of the current research field. In this paper, the domestic and foreign literature on spatial weight matrix is firstly reviewed. Secondly, the theoretical knowledge of multi-class spatial weight matrix is expounded, and the other theoretical knowledge that may be involved in this paper is summarized. Then, using different kinds of spatial weight matrix to analyze the specific commodities in the four categories of food, clothing, housing services and transportation services. The emphasis is to compare the influence and difference of different spatial weight matrix on all kinds of products in order to judge the spatial attribute of product price. Finally, the influence factors of commodities are analyzed by using spatial econometric model, and the transmission mechanism is obtained. The basic conclusions are as follows: 1) when the parameters of different weight matrices are optimized, Each weight matrix has its own structure principle and influence factors, which has different influence on the spatial relationship of different kinds of products. Generally speaking, the order of application range from large to small is: compound weight matrix, distance weight matrix, adjacent weight matrix, high order weight matrix. For different commodities, the optimal weight matrix for spatial attributes is not the same.) for food, clothing, housing services, transportation services, these four categories of goods, Most vegetable commodities in food category have spatial autocorrelation with aquaculture commodities, while other commodities in this category have weak spatial autocorrelation. Clothing, housing services and transport services have almost no spatial autocorrelation.) if the goods are divided into government limited price goods and non-price goods, it can be found that most of the government non-price goods have strong spatial autocorrelation. A small part of the correlation is weak, the reason for these products whether through the network or physical stores, the price difference is relatively small. The spatial autocorrelation of government limited price commodities is lower than that of government non-price limited commodities, and the spatial autocorrelation of government limited price commodities is stronger than that of non-tradable commodities With the help of spatial measurement model, it is found that the commodity price with spatial attribute is mainly affected by the transportation cost and the price of substitute.
【學(xué)位授予單位】：青島大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F014.31

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李正升;李瑞林;王輝;;中國(guó)式分權(quán)競(jìng)爭(zhēng)與地方政府環(huán)境支出——基于省級(jí)面板數(shù)據(jù)的空間計(jì)量分析[J];經(jīng)濟(jì)經(jīng)緯;2017年01期

2 鐘昌寶;錢康;;長(zhǎng)江經(jīng)濟(jì)帶省域物流效率的空間差異研究——基于改進(jìn)的空間權(quán)重矩陣[J];常州大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2016年05期

3 胡光瑤;;基于時(shí)間序列的經(jīng)濟(jì)計(jì)量模型分析農(nóng)產(chǎn)品價(jià)格波動(dòng)的影響因素[J];財(cái)經(jīng)界(學(xué)術(shù)版);2016年07期

4 吳賢榮;張俊飚;程琳琳;田云;;中國(guó)省域農(nóng)業(yè)碳減排潛力及其空間關(guān)聯(lián)特征——基于空間權(quán)重矩陣的空間Durbin模型[J];中國(guó)人口·資源與環(huán)境;2015年06期

5 黃飛;曹家和;;基于空間權(quán)重矩陣變化下Moran’s I檢驗(yàn)研究[J];統(tǒng)計(jì)與決策;2014年20期

6 胡友;祁春節(jié);;基于空間計(jì)量的水果價(jià)格形成及傳導(dǎo)研究——以蘋(píng)果、柑橘和香蕉為例[J];農(nóng)業(yè)現(xiàn)代化研究;2013年06期

7 王守坤;;空間計(jì)量模型中權(quán)重矩陣的類型與選擇[J];經(jīng)濟(jì)數(shù)學(xué);2013年03期

8 梁洪運(yùn);周其龍;孫亞林;;空間權(quán)重矩陣對(duì)空間自相關(guān)影響分析[J];科技資訊;2013年09期

9 任英華;游萬(wàn)海;;一種新的空間權(quán)重矩陣選擇方法[J];統(tǒng)計(jì)研究;2012年06期

10 馮昕;杜世宏;舒紅;;空間權(quán)重矩陣對(duì)空間自相關(guān)的影響分析——以我國(guó)腎綜合征出血熱疾病為例[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2011年12期

相關(guān)碩士學(xué)位論文 前4條

1 楊茜;我國(guó)省域居民消費(fèi)價(jià)格指數(shù)影響因素的空間計(jì)量分析[D];浙江財(cái)經(jīng)大學(xué);2016年

2 鄧永旺;基于空間計(jì)量模型的商品住宅價(jià)格空間分異研究[D];西南大學(xué);2015年

3 陳婷婷;我國(guó)4A、5A級(jí)景區(qū)門票價(jià)格空間差異研究[D];華中師范大學(xué);2014年

4 徐彬;空間權(quán)重矩陣對(duì)Moran's I指數(shù)影響的模擬分析[D];南京師范大學(xué);2007年

，

本文編號(hào)：1908359