本文選題：區(qū)域創(chuàng)新 + 創(chuàng)新效率　； 參考：《南京航空航天大學》2014年碩士論文

【摘要】：20世紀90年代以來，科學技術不斷發(fā)展，其與一個國家經濟、地位、安全的緊密聯系日益凸顯，各國紛紛將推動技術進步與創(chuàng)新活動發(fā)展列入國家發(fā)展戰(zhàn)略之中。中國政府于1998首次提出建立國家創(chuàng)新體系的宏偉目標，十七大報告更將創(chuàng)新型國家建設提高到國家戰(zhàn)略層面。依靠科技創(chuàng)新，提升產業(yè)結構、轉變經濟增長方式已成為新時期國家發(fā)展經濟的重要戰(zhàn)略舉措。我國創(chuàng)新活動的投入與發(fā)達國家相比還有一定差距，但總體來說一直保持上升趨勢。且創(chuàng)新投入的不足受到經濟發(fā)展水平、文化教育程度等限制，必須遵循一定的發(fā)展趨勢，短期內難以提高。一味增加創(chuàng)新投入不能解決制約創(chuàng)新系統(tǒng)發(fā)展的根本問題，從提高創(chuàng)新效率入手則更適應本階段創(chuàng)新能力提升的需求。 本文從兩階段視角出發(fā)研究區(qū)域創(chuàng)新效率問題，將區(qū)域創(chuàng)新系統(tǒng)劃分為科技成果轉化階段和效益轉化階段。分別采用因子分析-數據包絡分析復合方法測算子系統(tǒng)與總系統(tǒng)創(chuàng)新效率，并測度子系統(tǒng)效率間的協(xié)調度，采用面板數據回歸模型測算非主體因素對兩個子系統(tǒng)的不同影響。最后，采用全國29地的創(chuàng)新活動面板數據，以江蘇省創(chuàng)新系統(tǒng)為主要研究對象，，進行了實證分析，得出以下結論： （1）將區(qū)域創(chuàng)新系統(tǒng)劃分為科技成果轉化與效益轉化兩個階段，有助于打開區(qū)域創(chuàng)新系統(tǒng)運作的“黑箱”，按其實際運行狀況梳理為一個線性的過程，進而研究區(qū)域創(chuàng)新效率。得到的分階段效率值，一方面可以比原始方法提供更豐富的管理信息，另一方面也有利于對系統(tǒng)內部協(xié)調度、子系統(tǒng)影響因素進行測算。 （2）因子分析與數據包絡分析復合評價方法，可以客觀的提煉指標信息，能有效解決隨著指標數量增加造成的效率普遍趨近于1，以及有效DMU間無法比較的情況。與經典DEA方法相比擴展了其應用范圍。 （3）對包括江蘇省在內的我國29個省、市及地區(qū)的區(qū)域創(chuàng)新效率進行測算、比較與評價，得出江蘇省區(qū)域創(chuàng)新系統(tǒng)的效益轉化效率要優(yōu)于科技成果轉化效率，且子系統(tǒng)協(xié)調度較高。政府支持因素對兩階段效率都有負影響，而金融環(huán)境存在正向影響。基礎設施的完備程度對科技成果轉化效率有正影響，勞動力素質因素則有負向影響。在效益轉化階段，基礎設施影響不顯著，勞動力素質存在正影響。
[Abstract]:Since 1990s, science and technology has been developing constantly, and its close relationship with a country's economy, status and security has become increasingly prominent. Countries have included the promotion of technological progress and innovation activities in the national development strategy. In 1998, the Chinese government put forward the grand goal of establishing a national innovation system for the first time, and the report of the 17th National Congress raised the construction of an innovative country to the level of national strategy. Depending on scientific and technological innovation, upgrading industrial structure and changing the mode of economic growth, it has become an important strategic measure for national economic development in the new period. Compared with the developed countries, the investment of innovation activities in China is still far from that of the developed countries, but generally speaking, it has maintained an upward trend. And the shortage of innovation input is limited by the level of economic development and the level of culture and education, which must follow a certain trend of development and be difficult to improve in the short term. Blindly increasing innovation input can not solve the fundamental problem that restricts the development of innovation system. Starting with improving innovation efficiency, it is more suitable for the demand of improving innovation ability at this stage. This paper studies the efficiency of regional innovation from the perspective of two stages, and divides the regional innovation system into the stage of transformation of scientific and technological achievements and the stage of transformation of benefits. Factor analysis-data envelopment analysis method is used to measure the innovation efficiency of subsystem and total system, and the coordination degree between subsystem efficiency is measured. Panel data regression model is used to measure the different influence of non-main factors on the two subsystems. Finally, using the innovation activity panel data of 29 places in China, taking the innovation system of Jiangsu Province as the main research object, the empirical analysis is carried out, and the following conclusions are drawn: 1) dividing the regional innovation system into two stages: the transformation of scientific and technological achievements and the transformation of benefits will help to open the "black box" of the operation of the regional innovation system, and comb it into a linear process according to its actual operating conditions, and then study the efficiency of regional innovation. On the one hand, it can provide more abundant management information than the original method, on the other hand, it can also help to calculate the internal coordination degree of the system and the influence factors of the subsystem. 2) the compound evaluation method of factor analysis and data envelopment analysis can extract the index information objectively, and can effectively solve the problem that the efficiency caused by the increase of index quantity generally approaches to 1, and the effective DMU can not be compared with each other. Compared with the classical DEA method, its application range is extended. (3) the efficiency of regional innovation in 29 provinces, cities and regions of China, including Jiangsu Province, is measured, compared and evaluated, and it is concluded that the efficiency of regional innovation system in Jiangsu Province is better than that in transformation of scientific and technological achievements. And the subsystem coordination degree is high. Government support factors have a negative impact on both stages of efficiency, while the financial environment has a positive impact. The completeness of infrastructure has a positive effect on the efficiency of transformation of scientific and technological achievements, while the factor of labor quality has a negative effect. In the stage of benefit transformation, the influence of infrastructure is not significant, and the quality of labor force is positive.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F124.3;F224

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