本文選題：上市公司 + 經(jīng)營(yíng)績(jī)效　； 參考：《安徽師范大學(xué)》2017年碩士論文

【摘要】：中國(guó)證券市場(chǎng)經(jīng)過二十多年發(fā)展日趨完善,上市公司作為證券市場(chǎng)的主體,已成為行業(yè)的龍頭和引擎,是國(guó)家經(jīng)濟(jì)發(fā)展中重要的戰(zhàn)略支撐。上市公司的經(jīng)營(yíng)績(jī)效直接體現(xiàn)上市公司的發(fā)展水平,反映我國(guó)宏觀經(jīng)濟(jì)的發(fā)展?fàn)顩r。因此,正確評(píng)價(jià)上市公司經(jīng)營(yíng)績(jī)效狀況,探究上市公司經(jīng)營(yíng)績(jī)效時(shí)空演化特征,揭示影響經(jīng)營(yíng)績(jī)效的宏觀外部因素,有利于正確認(rèn)識(shí)與評(píng)價(jià)我國(guó)經(jīng)濟(jì)區(qū)域發(fā)展水平和指導(dǎo)經(jīng)濟(jì)發(fā)展方向。本文根據(jù)目前已有研究,初步構(gòu)建上市公司經(jīng)營(yíng)績(jī)效評(píng)價(jià)指標(biāo)體系,采用縱向截面比較法,以中小板、創(chuàng)業(yè)板開板前的2003年、2008年和2015年這三年上市公司財(cái)務(wù)數(shù)據(jù)作為研究樣本,測(cè)度中國(guó)上市公司經(jīng)營(yíng)綜合績(jī)效;借助GeoDa和ArcGIS軟件中的空間分析工具,對(duì)不同時(shí)期中國(guó)上市公司經(jīng)營(yíng)績(jī)效的空間分布特征和空間自相關(guān)性進(jìn)行分析,發(fā)現(xiàn)其演化趨勢(shì);基于2015年的截面數(shù)據(jù),進(jìn)行多元線性回歸分析,揭示上市公司經(jīng)營(yíng)績(jī)效的外部影響因素。研究結(jié)論表明:1)2003年以來中國(guó)上市公司數(shù)量逐年遞增,2009年后增幅逐年加大。上市公司的增長(zhǎng)幅度具有明顯的地域差異性,增幅的“低谷區(qū)”集中在東北、西南、西北等地區(qū),且內(nèi)部分布極不平衡;增幅的“高峰區(qū)”集中在東部地區(qū)。目前,中國(guó)上市公司多數(shù)集中分布在東部沿海地區(qū),從類別上看東部地區(qū)上市公司以資本密集型和技術(shù)密集型企業(yè)為主;中西部地區(qū)以資源類和能源類企業(yè)為主;從整體來看,全國(guó)上市公司的空間分布差異明顯,發(fā)展程度不均衡,呈現(xiàn)出“馬太效應(yīng)”。2)中國(guó)上市公司經(jīng)營(yíng)績(jī)效的時(shí)空分布具有顯著的空間自相關(guān)性,趨向于高值集聚和低值集聚的空間相關(guān)性,逐步呈現(xiàn)出明顯的由沿海向內(nèi)陸梯度分布的“熱點(diǎn)—次熱點(diǎn)—次冷點(diǎn)—冷點(diǎn)”的演化格局,表現(xiàn)出較強(qiáng)的穩(wěn)定性和地帶性,地域分布差異顯著。3)中國(guó)各省級(jí)行政區(qū)上市公司經(jīng)營(yíng)績(jī)效總值的時(shí)空演化特征方面呈現(xiàn)由東部沿海向內(nèi)陸遞減的規(guī)律,隨著時(shí)間的推移,中西部地區(qū)各省級(jí)行政區(qū)的上市公司經(jīng)營(yíng)績(jī)效總值與東部地區(qū)特別是廣東省、浙江省、江蘇省、北京市、上海市相比,差距進(jìn)一步擴(kuò)大,區(qū)域發(fā)展不平衡問題日益明顯。而經(jīng)營(yíng)績(jī)效均值的時(shí)空演化特征則無明顯的規(guī)律性。4)中國(guó)上市公司績(jī)效外部影響因素中,第一公因子F1經(jīng)濟(jì)水平因子是影響我國(guó)省級(jí)行政區(qū)上市公司績(jī)效的首要因素;第二公因子F2發(fā)展環(huán)境因子,對(duì)上市公司經(jīng)營(yíng)績(jī)效影響的正向相關(guān)性相對(duì)于公因子F1來說較小,屬于次要因素;第三公因子F3資源稟賦因子不影響省級(jí)行政區(qū)內(nèi)上市公司經(jīng)營(yíng)績(jī)效。本研究在理論上拓展了上市公司在地理學(xué)方面的研究視角,充實(shí)了企業(yè)地理學(xué)、經(jīng)濟(jì)地理學(xué)、產(chǎn)業(yè)經(jīng)濟(jì)學(xué)等學(xué)科的研究?jī)?nèi)容;實(shí)踐上,對(duì)于正確認(rèn)識(shí)中國(guó)上市公司發(fā)展規(guī)律性及優(yōu)化產(chǎn)業(yè)發(fā)展布局提供理論指導(dǎo)和實(shí)踐借鑒。
[Abstract]:After more than 20 years' development, the listed companies, as the main body of the securities market, have become the leading and engine of the industry and an important strategic support in the national economic development. The operating performance of listed companies directly reflects the level of development of listed companies and the development of China's macro economy. Therefore, we should correctly evaluate the operating performance of listed companies, explore the temporal and spatial evolution characteristics of operating performance of listed companies, and reveal the macro external factors that affect the performance of the listed companies. It is beneficial to the correct understanding and evaluation of the level of economic development in China and the direction of economic development. According to the existing research, this paper preliminarily constructs the performance evaluation index system of listed companies. Using the longitudinal cross-section comparison method, the financial data of the listed companies in 2003, 2008 and 2015 before the opening of the gem are taken as the research samples. With the help of the spatial analysis tools of GeoDa and ArcGIS, this paper analyzes the spatial distribution characteristics and spatial autocorrelation of Chinese listed companies' performance in different periods, and finds the evolution trend. Based on the cross section data of 2015, the multivariate linear regression analysis is carried out to reveal the external factors that affect the operating performance of listed companies. The research results show that the number of Chinese listed companies has been increasing year by year since 2003, and the increase has been increasing year by year since 2009. The growth range of listed companies has obvious regional differences, the "valley area" of the increase is concentrated in the northeast, southwest, northwest and so on, and the internal distribution is very uneven, and the "peak area" of the increase is concentrated in the eastern region. At present, most of the listed companies in China are concentrated in the eastern coastal areas. In terms of categories, listed companies in the eastern region are mainly capital-intensive and technology-intensive enterprises; in the central and western regions, resources and energy enterprises are the main ones; in the overall view, the listed companies in the eastern region are mainly capital-intensive and technology-intensive enterprises. The spatial distribution of listed companies in China is obviously different and the degree of development is uneven, showing "Matthew effect". 2) the spatiotemporal distribution of Chinese listed companies' operating performance has significant spatial autocorrelation. Tending to the spatial correlation between high value agglomeration and low value agglomeration, the evolution pattern of "hot spot, sub-cold point and cold point", which is gradually distributed from coastal to inland gradient, shows strong stability and zonality. The spatial and temporal evolution characteristics of the total operating performance of listed companies in each provincial administrative region of China show the law of decreasing from the eastern coast to the inland, with the passage of time, Compared with the eastern regions, especially Guangdong Province, Zhejiang Province, Jiangsu Province, Beijing and Shanghai, the gap between the listed companies in the central and western regions is further widened, and the imbalance of regional development is becoming more and more obvious. However, the temporal and spatial evolution of the average operating performance has no obvious regularity. 4) among the external factors affecting the performance of listed companies in China, the first factor, F1 economic level factor, is the primary factor affecting the performance of listed companies in the provincial administrative regions of China. The second common factor F2 development environment factor, to the listed company management performance influence positive correlation is relatively small compared with the public factor F1, belongs to the secondary factor; The third common factor F 3 resource endowment factor does not affect the performance of listed companies in provincial administrative regions. This study theoretically expands the perspective of geography of listed companies and enriches the research contents of enterprise geography, economic geography, industrial economics and so on. It provides theoretical guidance and practical reference for correctly understanding the development regularity of Chinese listed companies and optimizing the layout of industrial development.
【學(xué)位授予單位】：安徽師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F832.51;F275

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 左元麗;;基于因子分析的制造業(yè)上市公司綜合績(jī)效評(píng)價(jià)——以江蘇制造業(yè)上市公司為例[J];會(huì)計(jì)之友;2016年24期

2 王廣生;;基于數(shù)據(jù)包絡(luò)分析方法(DEA)的電商行業(yè)上市公司效率研究[J];西華大學(xué)學(xué)報(bào)(哲學(xué)社會(huì)科學(xué)版);2016年01期

3 王艷;;EVA在我國(guó)壽險(xiǎn)上市公司業(yè)績(jī)?cè)u(píng)價(jià)中的應(yīng)用[J];商業(yè)會(huì)計(jì);2015年18期

4 楊楠;;資本結(jié)構(gòu)、技術(shù)創(chuàng)新與企業(yè)績(jī)效——基于中國(guó)上市公司的實(shí)證分析[J];北京社會(huì)科學(xué);2015年07期

5 肖龍階;桑曉鵬;;江蘇省民營(yíng)上市公司資本結(jié)構(gòu)與績(jī)效關(guān)系的實(shí)證研究[J];東南大學(xué)學(xué)報(bào)(哲學(xué)社會(huì)科學(xué)版);2015年03期

6 陳瑩瑩;;杜邦分析法在上市公司財(cái)務(wù)分析中的應(yīng)用[J];北方經(jīng)貿(mào);2015年05期

7 楊枰;楊迪斐;;中國(guó)房地產(chǎn)上市公司績(jī)效研究——基于四大影響因素的多元線性回歸分析[J];經(jīng)營(yíng)管理者;2015年11期

8 蔡永燦;燕飛;;股權(quán)結(jié)構(gòu)、高管激勵(lì)與公司績(jī)效實(shí)證研究——來自我國(guó)上市房地產(chǎn)公司的數(shù)據(jù)[J];現(xiàn)代商貿(mào)工業(yè);2015年08期

9 王靜;張悅;;資本結(jié)構(gòu)與盈利能力的關(guān)系分析——基于房地產(chǎn)行業(yè)上市公司的實(shí)證[J];東岳論叢;2015年02期

10 魏偉;;基于多元線性回歸分析的高管薪酬與房地產(chǎn)上市公司業(yè)績(jī)相關(guān)性研究[J];科技廣場(chǎng);2014年09期

相關(guān)博士學(xué)位論文 前1條

1 孫奕馳;上市公司財(cái)務(wù)績(jī)效評(píng)價(jià)及其影響因素研究[D];遼寧大學(xué);2011年

相關(guān)碩士學(xué)位論文 前8條

1 王天華;我國(guó)央企上市公司 EVA 績(jī)效評(píng)價(jià)[D];北京交通大學(xué);2016年

2 周沫;我國(guó)上市銀行經(jīng)營(yíng)績(jī)效評(píng)價(jià)研究[D];山東財(cái)經(jīng)大學(xué);2016年

3 張坤;基于數(shù)據(jù)包絡(luò)分析的西北地區(qū)上市公司財(cái)務(wù)狀況評(píng)價(jià)與預(yù)警模型研究[D];西北民族大學(xué);2015年

4 張文娟;基于上市公司經(jīng)營(yíng)業(yè)績(jī)?cè)u(píng)價(jià)的杜邦分析體系改進(jìn)研究[D];長(zhǎng)安大學(xué);2014年

5 林筱;平衡計(jì)分卡在高速公路上市公司績(jī)效管理中的應(yīng)用研究[D];長(zhǎng)安大學(xué);2014年

6 王娜;基于BSC的紡織上市公司戰(zhàn)略績(jī)效評(píng)價(jià)研究[D];西安工程大學(xué);2013年

7 王森;基于平衡計(jì)分卡的我國(guó)上市公司績(jī)效評(píng)價(jià)研究[D];西安建筑科技大學(xué);2009年

8 吳煒偉;基于DEA的房地產(chǎn)上市公司績(jī)效評(píng)價(jià)模式研究[D];浙江大學(xué);2008年

，

本文編號(hào)：1947956