【摘要】：在全球化時(shí)代背景下,信息產(chǎn)業(yè)是美國(guó)等發(fā)達(dá)國(guó)家實(shí)現(xiàn)經(jīng)濟(jì)增長(zhǎng)目標(biāo)的重要引擎,對(duì)我國(guó)調(diào)整產(chǎn)業(yè)結(jié)構(gòu)具備重要的借鑒意義。受2008年金融危機(jī)影響,各國(guó)經(jīng)濟(jì)表現(xiàn)疲弱,信息產(chǎn)業(yè)是經(jīng)濟(jì)企穩(wěn)的重要推助力。我國(guó)正處于轉(zhuǎn)變經(jīng)濟(jì)結(jié)構(gòu)的攻堅(jiān)期,信息產(chǎn)業(yè)作為戰(zhàn)略性帶頭產(chǎn)業(yè)的地位不容忽視。本文利用2005-2012年中國(guó)28個(gè)地區(qū)信息產(chǎn)業(yè)發(fā)展數(shù)據(jù),研究中國(guó)省際信息產(chǎn)業(yè)全要素生產(chǎn)率(Total Factor Productivity,下文簡(jiǎn)稱TFP)增長(zhǎng)的趨同性�？偨Y(jié)全文,梳理了以下四個(gè)問(wèn)題:首先,界定了國(guó)內(nèi)外信息產(chǎn)業(yè)的概念、范圍、特點(diǎn)及發(fā)展現(xiàn)狀。明確信息產(chǎn)業(yè)促進(jìn)經(jīng)濟(jì)增長(zhǎng)的重要意義。其次,用Malmquist指數(shù)法測(cè)算信息產(chǎn)業(yè)TFP增長(zhǎng)率,分析其形成動(dòng)因和發(fā)展趨勢(shì)。進(jìn)一步,從地域、效率指數(shù)和行業(yè)構(gòu)成的角度詳細(xì)分析信息產(chǎn)業(yè)TFP增長(zhǎng)率變動(dòng)情況。再次,基于上一步研究,構(gòu)建σ趨同模型、絕對(duì)β趨同模型、俱樂(lè)部趨同模型和條件β趨同模型檢驗(yàn)信息產(chǎn)業(yè)TFP的趨同情況。最后,根據(jù)實(shí)證研究結(jié)果,對(duì)全文進(jìn)行了總結(jié),并從促進(jìn)區(qū)域協(xié)調(diào)發(fā)展、重視人才培養(yǎng)、構(gòu)建自主創(chuàng)新體系、減少政府干預(yù)四個(gè)個(gè)方面提出了政策建議。研究結(jié)果表明:第一,2005-2012年中國(guó)信息產(chǎn)業(yè)TFP平均增長(zhǎng)率是9.4%。技術(shù)效率和技術(shù)進(jìn)步共同促進(jìn)信息產(chǎn)業(yè)TFP增長(zhǎng)率的提高。信息制造業(yè)的TFP增長(zhǎng)率和信息服務(wù)業(yè)的TFP增長(zhǎng)率軌跡呈現(xiàn)背離趨勢(shì)。第二,中部地區(qū)信息產(chǎn)業(yè)TFP增長(zhǎng)率最高,其次是西部地區(qū),最后是東部地區(qū)。這在一定程度上說(shuō)明,相對(duì)發(fā)達(dá)地區(qū)的TFP增長(zhǎng)率水平較低,欠發(fā)達(dá)地區(qū)的TFP增長(zhǎng)率相對(duì)較高。信息制造業(yè)TFP增長(zhǎng)率的提高源于技術(shù)效率和技術(shù)進(jìn)步的共同促進(jìn),信息服務(wù)業(yè)則僅僅依靠技術(shù)進(jìn)步的提高。第三,全國(guó)范圍內(nèi),信息制造業(yè)的TFP增長(zhǎng)率大于信息服務(wù)業(yè)的TFP增長(zhǎng)率。第四,我國(guó)信息產(chǎn)業(yè)確實(shí)存在絕對(duì)β趨同、俱樂(lè)部趨同和條件β趨同。政府行為對(duì)信息產(chǎn)業(yè)TFP增長(zhǎng)率起到反向作用,經(jīng)濟(jì)自由度對(duì)其具有正向作用。
[Abstract]:Under the background of globalization, the information industry is an important engine for the developed countries, such as the United States, to achieve the goal of economic growth, which is of great significance for our country to adjust its industrial structure. Affected by the 2008 financial crisis, weak economic performance around the world, the information industry is an important boost to economic stability. China is in the period of transforming economic structure, information industry as a strategic leading industry can not be ignored. Based on the data of information industry development in 28 regions of China from 2005 to 2012, this paper studies the convergence of the growth of total factor productivity (Total Factor Productivity,) of China's inter-provincial information industry (TFP). Firstly, it defines the concept, scope, characteristics and current situation of information industry at home and abroad. Clear information industry promotes the important meaning of economic growth. Secondly, the TFP growth rate of information industry is measured by Malmquist index method, and its formation motivation and development trend are analyzed. Furthermore, the paper analyzes the change of TFP growth rate in information industry from the angle of region, efficiency index and industry composition. Thirdly, based on the previous research, we construct 蟽 convergence model, absolute 尾 convergence model, club convergence model and conditional 尾 convergence model to test the convergence of information industry TFP. Finally, according to the results of empirical research, this paper summarizes the full text, and puts forward policy recommendations from four aspects: promoting regional coordinated development, paying attention to talent training, building independent innovation system and reducing government intervention. The results show that: first, the average TFP growth rate of China's information industry in 2005-2012 is 9. 4%. Technical efficiency and technological progress jointly promote the TFP growth rate of the information industry. The TFP growth rate of the information manufacturing industry and the TFP growth rate track of the information service industry show a deviation trend. Second, the TFP growth rate of the information industry in the central region is the highest, followed by the western region and the eastern region. To a certain extent, the TFP growth rate in the relatively developed regions is lower, and the TFP growth rate in the less developed regions is relatively high. The increase of TFP growth rate in information manufacturing industry originates from the mutual promotion of technological efficiency and technological progress, while the information service industry only depends on the improvement of technological progress. Thirdly, the TFP growth rate of information manufacturing industry is higher than the TFP growth rate of information service industry. Fourth, China's information industry does exist absolute 尾-convergence, club convergence and conditional 尾-convergence. Government behavior has a negative effect on the growth rate of TFP in information industry, and economic freedom has a positive effect on it.
【學(xué)位授予單位】：山東財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F224

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 胡曉珍;楊龍;;中國(guó)區(qū)域綠色全要素生產(chǎn)率增長(zhǎng)差異及收斂分析[J];財(cái)經(jīng)研究;2011年04期

2 田銀華;賀勝兵;胡石其;;環(huán)境約束下地區(qū)全要素生產(chǎn)率增長(zhǎng)的再估算:1998—2008[J];中國(guó)工業(yè)經(jīng)濟(jì);2011年01期

3 李小平;朱鐘棣;;中國(guó)工業(yè)行業(yè)的全要素生產(chǎn)率測(cè)算——基于分行業(yè)面板數(shù)據(jù)的研究[J];管理世界;2005年04期

4 李春梅;楊蕙馨;;中國(guó)信息產(chǎn)業(yè)技術(shù)效率及影響因素分析——基于隨機(jī)前沿分析方法的省際實(shí)證研究[J];產(chǎn)業(yè)經(jīng)濟(jì)評(píng)論;2012年04期

5 林毅夫,劉明興,章奇;企業(yè)預(yù)算軟約束的成因分析[J];江海學(xué)刊;2003年05期

6 趙昕;郭晶;;中國(guó)低碳經(jīng)濟(jì)發(fā)展的技術(shù)進(jìn)步因素及其動(dòng)態(tài)效應(yīng)[J];經(jīng)濟(jì)學(xué)動(dòng)態(tài);2011年05期

7 秦朵;宋海巖;;改革中的過(guò)度投資需求和效率損失——中國(guó)分省固定資產(chǎn)投資案例分析[J];經(jīng)濟(jì)學(xué)(季刊);2003年03期

8 烏家培;中國(guó)信息化道路探索[J];經(jīng)濟(jì)研究;1995年06期

9 張軍,吳桂英,張吉鵬;中國(guó)省際物質(zhì)資本存量估算:1952—2000[J];經(jīng)濟(jì)研究;2004年10期

10 彭國(guó)華;中國(guó)地區(qū)收入差距、全要素生產(chǎn)率及其收斂分析[J];經(jīng)濟(jì)研究;2005年09期

相關(guān)會(huì)議論文 前1條

1 孫洋;郝壽義;;制度影響技術(shù)進(jìn)步與效率提升的路徑選擇——以長(zhǎng)三角、珠三角和環(huán)渤海城市群為例[A];《中國(guó)區(qū)域經(jīng)濟(jì)》2012年第4期(總第19期)[C];2012年

相關(guān)博士學(xué)位論文 前1條

1 紀(jì)明輝;中國(guó)服務(wù)業(yè)的全要素生產(chǎn)率研究[D];吉林大學(xué);2013年

，

本文編號(hào)：2322293