The Evaluation of University Departments. A Case Study for Firenze

Over the last two decades, the interest to assess the quality of university teaching and research has considerably grown. This paper presents a study concerning the evaluation of the departments of the University of Firenze using Data Envelopment Analysis. It shows several applications with different variables choices to assess the performance both in teaching and in research activities. The reliability of the preferred specification was verified with a heuristic experiment, using different variables and a different number of variables. Particular attention is given to the problem of data availability and quality (e.g. for research output assessment).     

Higher education and public sector employment: evidence from Finnish data on twins

Using data from Finland on twins, this paper examines the effect of labour quality, as measured by education, on the choice to work in the public sector. A distinction to previous studies is made by allowing controls of family background and genetics effects that could drive the positive relationship between higher education and public sector employment. The conditional (fixed effects) logit regression estimates indicate that highly qualified employees are more likely to seek public sector employment. The paper also utilizes the longitudinal structure of the data to examine whether the results vary over time. These results indicate that the association between public sector work and higher education is counter-cyclical. In other words, highly qualified workers are more likely to hold public service positions and to have greater access to public sector jobs during economic downturns.     

THE INTERNATIONALIZATION OF AGRICULTURAL TECHNOLOGY: PATENTS, R&D SPILLOVERS, AND THEIR EFFECTS ON PRODUCTIVITY IN THE EUROPEAN UNION AND UNITED STATES

Multilateral indices of total factor productivity (TFP) allow efficiency comparisons between ten European Union countries and the United States from 1973 to 1993. Differences in TFP levels are then explained by land quality differences, public research and development (R&D) expenditures, education levels, private-sector patents, international spillovers of public R&D, and private-sector technology transfer. There is evidence that public R&D results in limited knowledge spillovers between the European countries and the United States. However, the use of international patent data from the Yale Technology Concordance shows not only that patents matter, but also that private sector technology transfer may be the dominant force in explaining TFP trends. The United States and the European Union countries with more advanced research systems (Netherlands, Denmark, France, and Belgium) converge in a high-growth club, while Germany, Luxembourg, Greece, Italy, Ireland, and the United Kingdom form the slow-growth group. Ignoring knowledge spillovers and technology transfer leads to biased estimates of R&D elasticities, which is hardly surprising since the private sector is now spending more than the public in some of these countries. Thus, the estimated rate of return to public agricultural R&D falls from over 60% in the closed economy model to 10% in the model that takes account of international spillovers. (JEL Q16)     

Decentralization and the shadow economy: Oates meets Allingham–Sandmo

This article studies the impact of decentralization on the shadow economy. We argue that decentralization may decrease the size of the shadow economy mainly through two transmission channels: (1) decentralization enhancing public sector efficiency (efficiency effect), and (2) decentralization reducing the distance between bureaucrats and economic agents, which increases the probability of detection of shadow economic activities (deterrence effect). Using various measures of fiscal, political and government employment decentralization in a cross-section of countries, we find the deterrence effect to be of more importance. The deterrence effect is stronger, the lower the degree of institutional quality. We find no robust evidence of the efficiency effect.     

Caste discrimination in the Indian urban labour market: An econometric analysis

This paper uses Degree Holders and Technical Personnel Survey of India to examine the wage gap between Non-Scheduled Castes/Tribes(NSC) and Scheduled Castes/Tribes(SC/ST). Separate wage equations, corrected for selection bias, are estimated for NSC and SC/ST. The parameter estimates of the wage equations were decomposed into ‘endowment’ and ‘treatment’ components using the familiar Oaxaca Decomposition Method. A separate account was also made to analyze the interaction between occupational attainment and the wage differential using the extended decomposition method. The main conclusion from the econometric results are: (a) the endowment difference is higher and discrimination causes 15 per cent lower wages for SC/ST as compared to NSC; (b) the discrimination coefficient is negative in the public sector whereas it is positive in the private sector; (c) intraoccupational wage effects dominate. The higher endowment difference in developing countries like India implies that the pre-market discriminatory practice with respect to education, health and nutrition are more crucial than labour market discrimination. (JEL: J3)     

The economics of research,consulting, and teaching quality: theory and evidence from a technical university

We investigate the effect of both research and consulting on teaching quality in higher education, at the individual level. We propose a theoretical model in which academics allocate effort between the three activities, over a two period time horizon, under the assumption of positive spillovers from research to both consulting opportunities and teaching, and of life-cycle effects on incentives. Propositions from the model are tested against data from a mid-sized Italian engineering faculty. We find that teaching quality is negatively related to consulting and positively related to research experience. However, both relationships are not linear, due to the importance of several mediating factors, such as seniority and the role of scientific publications as a signal for attracting consulting opportunities.     

(How) Do research and administrative duties affect university professors’ teaching?

We analyse the interaction between university professors’ teaching quality and their research and administrative activities. Our sample is a high-quality individual panel data set from a medium-size public Spanish university that allows us to avoid several types of biases frequently encountered in the literature. Although researchers teach roughly 20% more than nonresearchers, their teaching quality is also 20% higher. Instructors with no research are 5 times more likely than the rest to be among the worst teachers. Over much of the relevant range, we find a nonlinear and positive relationship between research output and teaching quantity on teaching quality. Our conclusions may be useful for decision-makers in universities and governments.     

市场需求要素驱动的创新溢出效应研究

市场需求是技术创新的内在源泉，现有研究并未将产品市场和技术市场统一纳入创新能力提升分析框架，不能全面反映市场需求对创新活动的影响效果。在理论模型推演出市场需求与创新水平存在关联性基础上，基于创新数量和创新质量双维视角，采用2004-2016年中国内地30省份面板数据，分别检验市场需求要素对研发投入和创新效率的影响。结果发现：国内市场需求既显著激励了研发投入强度，又明显提高了创新效率水平，培育国内市场需求对创新活动同时具备数量和质量的双重激励；出口贸易对研发投入的影响不明显，但显著有利于创新效率提升；进口贸易与技术交易市场对创新活动存在数量和质量双重压力，是阻碍市场创新效力发挥的主要因素，降低二者〖JP〗的负面约束值得重视；现阶段我国创新活动仍表现为显著的“资本驱动型”特征，R&D人力资本投入数量很高，但贡献相对有限。上述实证研究结论可为高质量发展背景下，通过启动市场需求进而提升自主创新能力和制定产业结构升级政策提供参考。     

论高校开展教研活动的重要性

随着高等教育的普及化,高校提高教学水平和教学质量的要求更加迫切。但是,目前高校开展教研活动的积极性不高,教研活动流于形式,不利于高校整体教学质量的提高。开展丰富有效的教研活动是提高教师教学能力、促进青年教师培养、提升高校整体办学质量、实现人才培养目标的重要手段。     

APPLICATION OF PANEL DATA MODELS IN BENCHMARKING ANALYSIS OF THE ELECTRICITY DISTRIBUTION SECTOR*

ABSTRACT ** : This paper explores the application of several panel data models in measuring productive efficiency of the electricity distribution sector. Stochastic Frontier Analysis has been used to estimate the cost‐efficiency of 59 distribution utilities operating over a nine‐year period in Switzerland. The estimated coefficients and inefficiency scores are compared across three different panel data models. The results indicate that individual efficiency estimates are sensitive to the econometric specification of unobserved firm‐specific heterogeneity. This paper shows that alternative panel models such as the ‘true’ random effects model proposed by Greene (2005) could be used to explore the possible impacts of unobserved firm‐specific factors on efficiency estimates. When these factors are specified as a separate stochastic term, the efficiency estimates are substantially higher suggesting that conventional models could confound efficiency differences with other unobserved variations among companies. On the other hand, refined specification of unobserved heterogeneity might lead to an underestimation of inefficiencies by mistaking potential persistent inefficiencies as external factors. Given that specification of inefficiency and heterogeneity relies on non‐testable assumptions, there is no conclusive evidence in favour of one or the other specification. However, this paper argues that alternative panel data models along with conventional estimators can be used to obtain approximate lower and upper bounds for companies' efficiency scores.     

Cost efficiency in Bangladesh banking: does financial reform matter?

This article estimates the cost efficiency of the commercial banks of Bangladesh in the context of financial reform. Employing the single-stage stochastic frontier analysis (SFA) model, the study uses a unique balanced panel data set comprising bank-level annual data from the dominant commercial banks in Bangladesh for the period 1983–2012. The results show that bank cost has fallen due to financial deregulation. Our results from the data envelopment analysis do not vary significantly that we obtained from the SFA. In addition, the presence of politically linked directors on the bank board has an adverse effect on efficiency. These findings suggest that further reforms aiming at removing all sorts of political influence should continue to ensure competitive environment in order to achieve cost efficiency in the financial sector of the country.     

Laboratory Experiments for Undergraduate Instruction in Economics

The generation and use of experimental data in the teaching of economics are described. Attention is given to the classroom activities presented in the University of Arizona National Science Foundation–supported summer workshops that are mentioned in the article on the economics major in this issue.     

Data deepening and nonbalanced economic growth

As a newly emerging factor, data can promote economic growth by driving technological progress, and nonbalanced growth between digital industries and nondigital industries has been notable in recent years. This paper provides a novel growth model with two sectors that differ in the degree of data deepening and the factor structure of the production function. In the model, data in one sector is the by-product of economic activities not only in its sector, but also in the other sector. More importantly, data utilization within and across sectors can spur new ideas and promote technological innovation. The model indicates that increases in the stock of data in the two sectors have opposite effects on the allocation of skilled labor between the two sectors. The skill premium (the wage of skilled labor relative to the wage of unskilled labor) decreases with an increase in the fraction of skilled labor employed in the data-extensive sector. With credible parameter values, model calibration shows that faster growth of output occurs in the more data-intensive sector and the high skill premium persists in the long run.     

Central Government versus private sector wages and cognitive skills: evidence using endogenous switching regression

The importance of estimation techniques that allow for nonrandom selection of workers into the public and private sectors has been established in the theoretical and empirical literature. A separate body of work has explored the contribution of cognitive and other basic skills to earnings. This article brings together these two strands of empirical literature using Adult Literacy and Lifeskills (ALL) survey data for Norway and Bermuda. In the case of Norway, results from both Ordinary Least Squares (OLS) and a switching regression model agree that cognitive skills are rewarded more in the public sector and that, in both sectors, the main effect is the direct effect of skills on earnings. In the case of Bermuda, however, switching regression estimates are substantially different with respect to the how skills affect earnings; furthermore, controlling for cognitive skills changes the nature of selection and, hence, the estimates of sector wage differentials.     

Competition and Costs: Evidence from Competitive Tendering in the Scottish National Health Service

This paper estimates the impact of competitive tendering on cleaning costs in Scottish National Health Service hospitals. Unlike previous studies, which have relied on cross‐sectional data, a five‐year balanced panel of 176 hospitals is used to estimate a series of fixed effects regression models. These panel estimates suggest that previous studies have likely over‐estimated the cost‐savings associated with competitive tendering. The findings also suggest that the lower costs associated with competitive tendering have more to do with auction theory than with any intrinsic efficiency of the private sector.     

R&D spending in the high-tech sector and economic growth

The present paper provides new estimates of the impact of investment in R&D on long-term economic growth. In particular, we estimate a dynamic empirical growth model using panel data for OECD countries from 1970 to 2004. This study is the first to investigate whether the specialization of R&D activities (i.e. share of R&D investment in the high-tech sector) has an additional effect on GDP per working age population. Using a system GMM estimator in order to control for endogeneity, we find that both the ratio of business enterprises’ R&D expenditures to GDP and the share of R&D investment in the high-tech sector have strong positive effects on GDP per capita and GDP per hour worked in the long term.     

中国公共部门劳动生产效率实证研究

借鉴Karras(2007)的实证模型,本文利用中国1988-2007年30个省、市、自治区的面板数据,对公共部门的劳动生产效率进行实证分析,结果显示:(1)中国公共部门的劳动产出弹性为0.008;(2)中国公共部门的劳动边际产出高于非公共部门;(3)中国公共部门劳动人员的显性工资存在低估。虽然中国公共部门的劳动边际产出相对于非公共部门高,但其产出弹性仍处于较低水平。本文的政策含义是:加大劳动密集型公共品供给力度,有利于提高中国整个经济的产出水平;中国非公共部门需要改变劳动力粗放投入模式,地方政府应鼓励私人部门为员工提供多元化的职业培训与技能教育,以提高其边际产出。同时,优化公务员薪酬结构,将隐性收入逐步纳入正规货币工资范围之中。     

The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency

ABSTRACT

This paper presents estimates of the impact of public R&D on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector agency data, we estimate the per-capita R&D elasticity of new patent applications using a knowledge production function framework model that is an expanded version of what other scholars have used with private sector data. New patent applications are an important step in the technology transfer activities of a federal agency. We estimate this elasticity to be about 2.0. This elasticity value represents an initial estimate of the impact of EPA’s R&D investments on its technology transfer activity.     

创新环境约束下高技术产业区域创新效率及收敛性研究

以各地区高技术产业为样本,应用超越对数随机前沿模型实证测算了创新环境约束下各地高技术产业基础研发和成果转化创新效率,并基于σ收敛、β收敛以及俱乐部收敛3种判别方法,考察了高技术产业基础研发效率和成果转化效率的收敛性特征。研究发现,2000-2014年我国创新环境对区域高技术产业的影响不可小觑,在其约束下高技术产业基础研发效率不断提升,呈现出东西较高、中北较低的分布态势且出现收敛特征;在应用效率方面,各地区成果转化效率大致划分为2000-2007年的缓慢增长期与2008-2014年的缓慢衰退期两个阶段,具有东高西低、南高北低的分布态势且趋于发散。     

外包与工资差距:基于工业行业数据的实证研究

笔者以Feenstra等人的三要素模型为基础,分析了国际外包影响发达国家及发展中国家熟练劳动力与非熟练劳动力之间工资差距的理论机制,运用我国工业行业面板数据,实证检验了外包对我国工业行业总体及分部门工资差距的影响。结果表明:外包和技术进步对我国工业行业熟练劳动力与非熟练劳动力之间工资差距的扩大均存在明显的正效应,但外包对劳动力资源密集型部门和中等技术部门的影响效应相对更强。