基于省际面板数据及DEA的区域创新效率研究

基于2003—2007年我国30个省市自治区的创新投入产出数据以及DEA方法,本文测度了我国各省市自治区的区域创新效率,并检验了我国区域创新效率的总体趋势以及东中西部创新效率的差异。结果表明:我国区域创新效率总体水平不高且呈现下降的趋势。其中,我国区域创新要素投入冗余严重,表现为科技活动内部支出与科技活动人员投入比例失衡;综合效率、纯技术效率在东部、中部与西部之间差异显著,而规模效率在三大区域间的差异却并不明显。     

Stability analysis and efficiency determinants: empirical evidence

Efficiency determinants analysis is a main contemporary component in the productive efficiency literature. Two-stage data envelopment analysis (DEA) procedure supposed a turning point in the methodology as the significance of a certain exogenous factor can provide policymakers with accurate information for future strategic decisions, but a deeper scrutiny into the importance of each factor remains unsettled. This article provides a novelty theoretical extension and empirical application for the two-stage DEA bootstrap procedure. We define the stability coefficient (SC) whose magnitude reveals the effect of each exogenous factor in the efficiency estimates. We present empirical evidence to examine the hypothesis that the efficiency of the 17 Spanish tourism regions for the average period data 2005–2013 is determined by a group of contextual variables, illustrating how the SCs strengthen knowledge concerning the significance of each potential attractor. The results help us to classify the significant attractors into strong and weak, accordingly enhancing the public or private decision process, and henceforth avoiding the wastefulness of decision-making units spending.     

中国创新型产业集群创新效率研究

创新型产业集群是培育新型产业、推动区域创新的重要载体。运用数据包络分析（DEA）方法,对我国109个创新型产业集群创新效率进行分析。研究结果表明：我国创新型产业集群整体综合效率较低,仅十分之一的集群综合效率为DEA运行有效;各省区间创新型产业集群创新效率存在较明显的区域差异,总体呈现“东高西低”的分布态势;对于DEA无效的创新型产业集群,企业总数、创新服务机构数、上缴税费对创新效率影响较为显著。建议从调节资源配置比例、构建资源共享机制、优化创新服务模式等方面采取措施提高我国创新型产业集群的创新效率。     

福建省高端装备制造业技术创新效率评价

将技术创新分为两个阶段——投入转化阶段和转化产出阶段,运用DEA两阶段法和DEAMalmquist指数法,对2008—2012年福建省高端装备制造业5个细分行业的两阶段技术创新效率进行了静态和动态评价。研究结果如下:在技术创新的第一阶段,福建省高端装备制造业的投入转化效率在很大程度上依赖于技术进步,但这种趋势在减弱;在技术创新的第二阶段,福建省高端装备制造业的转化产出效率呈下降趋势,且技术进步和技术效率对之共同发挥影响作用。     

Exports,productivity and innovation: new firm level empirical evidence

This article examines the determinants of Portuguese exports, applying data from 277 manufacturing firms for the period 2006–2010. In 2010, these firms accounted for about 47% of total Portugal’s exports. Both the static and dynamic results of the estimated models confirm the positive influence of productivity on variations in exports. The dynamic estimations also suggest that exports in the previous period hold a positive effect on contemporaneous exports, confirming the Roberts and Tybout (1997) sunk cost hypothesis for exports. In the dynamic analysis, the labour costs and the size of the firm do not have a statistically significant effect on Portuguese exports with the findings also pointing to increased expenditure on research and development (R&D) generating no statistically significant effect on exports. The lagged R&D expenditure was also insignificant in explaining the change of Portuguese exports. Thus, these results suggest that applying a product or process innovation measure returns better results than indirect measures such as R&D expenditure.     

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.     

Open technology innovation activity and firm value: evidence from Korean firms

Despite the importance of Open Technology Innovation Activity (OTIA) for firm value, the literature investigating effects of OTIA announcements of developing country firms is not known in international academic circles. Our study using an event study approach examines the effects of OTIA (technology import and joint R&D) announcements of firms in Korea, one of the leading developing and highly innovative countries. We find that the announcements of OTIA produce positive average abnormal returns. Interestingly, unlike the prior studies on developed country firms, OTIA with firms in the homogenous industry leads to greater firm value than that involving firms in heterogenic industries. This implies an importance of a technological fusion with external firms in different industries for value of developing country firms. In addition, this article finds no home bias that a nationality of partner firms is not essential for the relation between OTIA and value of firms.     

The relationship between innovation network and innovation capability: a social network perspective

The key for acquiring innovation capability is knowledge transmission which is primarily based on the closer and tighter connections among businesses and other actors within innovation networks. Previous literature of patent analysis based on social network only explains the most influential corporations within an industry through social network indicators, but did not investigate the impact of these indicators on a firm’s innovation capability. This study uses social network perspective ‘centrality, cohesion and density’ to investigate the relationship between innovation network and innovation capability in the global semiconductor industry. Two purposes of this study are: (1) to investigate the innovation network relationship within the semiconductor industry at different periods and its evolution and (2) to study whether network position occupied by a firm in innovation network influences innovation capability. The empirical results show that firms with higher centrality and higher density have stronger innovation capability, but the weaker innovation capability with closer connection of sub-cluster (cohesion).     

Financial innovation: theoretical issues and empirical evidence in Italy and in the UK

In the first part of the paper, we try to clearly identify financial innovations and draw a general framework. Despite the relevance of financial innovations, a unique definition is difficult to find. We then provide empirical evidence of such innovations on a sample of Italian and UK listed banks over the period 2005–2007 using financial account data. First, the absence of any mention of a specific organizational unit in charge of research and development (R&D) is highlighted. However, the existence of a research and developmental function involving different organizational units cannot be excluded. Second, innovation seems to be mainly concentrated in the product area, both in Italy and in the UK. This could be accounted for by the difference in the “life cycles” of innovations and by the different operational conditions of banks in both systems. Third, larger banks seem more innovative, both in Italy and in the UK. No clear relation between innovation and cost reduction/revenue increase seems to exist, at least in Italy. In the light of the above considerations, policy implication comes to light on whether the choice of not establishing a specific organizational unit dedicated to R&D could turn out effective in the medium-long term.

中国烟草加工企业技术效率分析——基于参数方法与非参数方法的对比研究

针对中国烟草加工企业因规模扩张而出现的管理效率低下等问题,使用2000--2006年企业层面的截面数据,运用参数方法和非参数方法测算了中国烟草加工企业的技术效率,并对两种方法的测算结果进行了比较分析。结果表明：两种测算结果存在较高的相关性,测算结果比较可靠;2000--2006年中国烟草加工企业的平均技术效率为0．74～0．79,具有稳步上升趋势;行业整体规模效率较高,但规模报酬递减的企业所占的比重有所增大。     

基于PCA-DEA综合评价模型的大中型工业企业技术创新效率评价

为克服DEA方法的弊端———指标集增大导致决策单元的有效性系数增大,采用主成分分析与DEA相结合的综合评价模型,对2011年我国31个省(自治区、直辖市)大中型工业企业的技术创新效率进行了综合评价,并分析了产生不同评价结果的原因以及需要调整的方向。结果表明:当前我国各地区大中型工业企业整体的技术创新效率不高,各地区的大中型工业企业普遍存在创新投入不足的问题;各地区的大中型工业企业的技术创新效率存在显著差异。最后,提出提高技术创新效率的建议。     

农业产业化龙头企业的生产效率分析——基于DEA模型

利用DEA模型,对我国已上市的42家农业产业化龙头企业2007年的生产效率进行了总体分析与评价,并对其投入冗余程度进行差值分析。研究结果显示:农业产业化龙头企业虽然在生产效率方面呈现出良好的发展态势,但总体上仍处于依靠规模扩张的量的增长阶段,技术因素对效率的提升作用不显著。这表明,要从根本上提高我国农业产业化龙头企业的生产效率,必须依靠技术,提高技术因素对企业生产效率改善的贡献率。     

Measuring the persistence in innovation in Spanish manufacturing firms: empirical evidence using discrete-time duration models

This paper measures the level of persistence in innovation using a large representative sample of Spanish manufacturing firms for the period 1990–2008. We determine survival in innovation activities using discrete-time duration models, which control for some of the existing problems in the continuous-time duration models used in previous studies (namely, unobserved heterogeneity and the proportional hazards assumption). This paper examines the relationship between the firm-specific characteristics of technological regimes and the persistence measured by innovative spells at the firm level. The results show that high technological opportunities, patents, cumulativeness of learning based on previous experience and accumulated R&D, as well as the use of generic knowledge provided by universities enhance persistence in innovative activity.     

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.     

The role of innovation in venture capital: empirical evidence from European Union and EFTA countries

This article investigates the effects of innovation attempts on the venture capital and investment activity in the cases of the selected European Union plus European Free Trade Agreement countries using annual panel data and by controlling for real income growth and business sophistication. Our findings suggest that innovation has positively significant effects on venture capital in the cases without opt-out countries (United Kingdom and Denmark); however, these effects become negative in the cases with opt-out countries. Policy implications are provided in the conclusion section of this study.     

环境约束下中国旅游业动态效率的测算与分析——基于三阶段Malmquist指数模型的实证分析

将三阶段DEA与Malmquist指数相结合,利用2007—2010年中国31个省级区域的面板数据,对全国、各省级区域、三大地区旅游业的TFP及其分解指数进行了测算与分析。研究结果表明:在剔除了环境变量和随机误差的影响后,中国旅游业的TFP及其分解效率发生了明显变化;居民收入水平、交通便利程度、居民出游偏好和地理区位因素都对中国旅游业的发展效率产生显著影响;在剔除环境变量和随机误差的影响后,2007—2010年期间中国旅游业的TFP呈逐步提升趋势,技术进步是推动旅游业TFP增长的主要动力,技术效率则起抑制作用——这主要源于规模效率水平的下降。     

South Korean social enterprises and their networks: On their organizational linkages at the interstice between the third,public, and corporate sectors

Social enterprise and government interactions have become an increasingly prominent theme in the literature on social entrepreneurship, due in part to the pressures confronting the welfare state and the rise of precarious work. This analysis is motivated by the efforts of the government of South Korea to incubate social enterprises since 2007. The constant scaling of the South Korean government's monitored social enterprise certification scheme had led to the registration of approximately 3440 social enterprises as of May 2021. This study documents the interorganizational network behaviour of these enterprises relative to the public sector, corporate sector, and civil society and the social economy. A cluster analysis approach is utilized to analyse network data obtained from a self-administered survey of 103 government-certified social enterprises operating in South Korea. We find that a sizeable number of government-certified social enterprises have diversified networks, as opposed to public sector-centric networks, although such social enterprises are in the minority. This study references social innovation cluster theory to argue that the aforementioned scheme has attained a partial degree of success in facilitating the emergence of social enterprises with diversified networks.However, the majority remain quasi-governmental implementers of government contracts and, generally, do not engage in networking.     

Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece

This study uses data envelopment analysis to examine the liquidity and sales efficiency of the Food and Beverage listed firms in Athens Exchange in the period 2006–2012. The liquidity efficiency of the firms is higher than the sales efficiency but the results indicate that there are not statistical significant differences in the rankings estimated by the two models in each period. The Malmquist Productivity Index reveals that over the period of the study, firms have experienced an annual average increase in productivity of 0.5% (a slight progress). On examining the components of this productivity change, it becomes evident that firms have experienced an annual average of 2% increase in technology combined with a decrease in technical efficiency of –1.5%. The results indicate that 52.4% of the firms experienced productivity gains in the examined period, and this was mainly the result of technological gain rather than efficiency improvement. More than 90% of the firms in the sample shift the efficiency frontier and only 33.3% of the firms are catching up, improving their productivity by reducing inefficiency. Moreover, the empirical study reveals that the overall technical inefficiencies of the firms are primarily caused by pure technical inefficiencies rather than scale inefficiencies.     

Performance of private higher education institutions in Vietnam: evidence using DEA-based bootstrap directional distance approach with quasi-fixed inputs

Vietnam’s higher education has witnessed substantial improvements since the implementation of the Doi Moi (renovation) policy. One of the significant developments is the promotion of establishment and enhancement of the role of private institutions in national education systems. However, the quest to improve the overall performance of the private higher education institutions remains a big challenge for many stakeholders. We assess the performance of Vietnamese private universities using a data envelopment analysis–based bootstrap directional distance approach with quasi-fixed inputs. The results show that there was a large variation in the efficiency levels of private universities within and between academic years and between metropolitan and other private universities. Our empirical findings provide more insights for educational leaders and policy makers on the performance of private higher education institutions and the implications of privatization of the national higher education system.