Decomposing TFP growth in the presence of cost inefficiency,nonconstant returns to scale,and technological progress

A thorough understanding of changes in productivity measures is important to economists and policymakers, because productivity growth is a major source of economic growth. This article explores the relationship between changes in total factor productivity (TFP) growth, defined using an index number approach, and changes in returns to scale, cost efficiency, and technology. Several decompositions are developed, using alternatively production and cost frontiers. The last decomposition developed also allows for multiple outputs.The refereeing process of this paper was handled through W.H. Greene.     

A dual measure of correlation between the Solow residual and output growth

In this paper, we measure U.S. technology shocks by implementing a dual approach, which is based on price data instead of aggregate quantity data. By doing so, we find the relative volatility of technology shocks and the correlation between output fluctuation and technology shocks to be much smaller than those revealed in most real-business-cycle (RBC) studies. Our results support the findings of Burside et al. (Eur Econ Rev 40:861–869, 1996), who showed that the correlation between technology shocks and output is exaggerated in the RBC literature. This suggests that one should examine other sources of fluctuations for a better understanding of the business cycle phenomena.     

Technological inefficiency indexes: a binary taxonomy and a generic theorem

Over the years following Debreu’s (1951) seminal formulation of a “coefficient of resource utilization”, a large number of indexes of technological inefficiency have been specified and a spate of papers has examined the properties satisfied by these indexes. This paper approaches the subject more synthetically, presenting generic results on classes of indexes and their properties. In particular, we consider a broad class of indexes containing almost all known indexes and a partition of this class into two subsets, slacks-based indexes and path-based indexes. Slacks-based indexes are expressed in terms of additive or multiplicative slacks for all inputs and outputs, and particular indexes are generated by specifying the form of aggregation over the coordinate-wise slacks. Path-based indexes are expressed in terms of a common contraction/expansion factor, and particular indexes are generated by specifying the form of the path to the frontier of the technology. Owing to an impossibility result in one of our earlier papers, we know that the set of all inefficiency indexes can be partitioned into three subsets: those that satisfy continuity (in quantities and technologies) and violate indication (equal to some specified value if and only if the quantity vector is efficient), those that satisfy indication and violate continuity, and those that satisfy neither. We prove two generic theorems establishing the equivalence of these two partitions: all slacks-based indexes satisfy indication and hence violate continuity, and all path-based indexes satisfy continuity and hence violate indication. We also discuss the few indexes that do not belong to either of these two sets. Our hope is that these results will help guide decisions about specification of the form of efficiency indexes used in empirical analysis.     

Endogenous growth, the Solow model and human capital

Both endogenous growth theory and the (augmented) Solow model propose a role for human capital in the growth process though each is based on different conceptual arguments. Since both approaches can justify the inclusion of human capitallevels andgrowth rates in an output growth regression the two theories cannot readily be distinguished empirically. This paper argues that the variable most commonly used in empirical studies to proxy human capital (levels or growth) — school enrolment rates (SERs) — may capture bothstock andaccumulation effects, butchanges in SERs can provide useful additional dynamic information on the contribution of human capital to growth. Empirical evidence from samples of developed and less developed countries during 1960–85 suggests important growth effects associated both with initial levels of, and changes in, SERs. The nature of these effects appears to differ between the two country groups.I am grateful to an anonymous referee and to Subrata Ghatak for helpful comments on an earlier draft of this paper, and to Massimo Suardi for research assistance     

Persistent and transient productive inefficiency: a maximum simulated likelihood approach

The productive efficiency of a firm can be seen as composed of two parts, one persistent and one transient. The received empirical literature on the measurement of productive efficiency has paid relatively little attention to the difference between these two components. Ahn and Sickles (Econ Rev 19(4):461–492, 2000) suggested some approaches that pointed in this direction. The possibility was also raised in Greene (Health Econ 13(10):959–980, 2004. doi:10.1002/hec.938), who expressed some pessimism over the possibility of distinguishing the two empirically. Recently, Colombi (A skew normal stochastic frontier model for panel data, 2010) and Kumbhakar and Tsionas (J Appl Econ 29(1):110–132, 2012), in a milestone extension of the stochastic frontier methodology have proposed a tractable model based on panel data that promises to provide separate estimates of the two components of efficiency. The approach developed in the original presentation proved very cumbersome actually to implement in practice. Colombi (2010) notes that FIML estimation of the model is ‘complex and time consuming.’ In the sequence of papers, Colombi (2010), Colombi et al. (A stochastic frontier model with short-run and long-run inefficiency random effects, 2011, J Prod Anal, 2014), Kumbhakar et al. (J Prod Anal 41(2):321–337, 2012) and Kumbhakar and Tsionas (2012) have suggested other strategies, including a four step least squares method. The main point of this paper is that full maximum likelihood estimation of the model is neither complex nor time consuming. The extreme complexity of the log likelihood noted in Colombi (2010), Colombi et al. (2011, 2014) is reduced by using simulation and exploiting the Butler and Moffitt (Econometrica 50:761–764, 1982) formulation. In this paper, we develop a practical full information maximum simulated likelihood estimator for the model. The approach is very effective and strikingly simple to apply, and uses all of the sample distributional information to obtain the estimates. We also implement the panel data counterpart of the Jondrow et al. (J Econ 19(2–3):233–238, 1982) estimator for technical or cost inefficiency. The technique is applied in a study of the cost efficiency of Swiss railways.     

效率增进、技术进步与全要素生产率增长——制造业内外资企业生产率比较

运用随机前沿生产函数和1999～2006年产业面板数据,本文研究了制造业内外资企业全要素生产率和技术效率的动态变化特征。实证结果表明,内外资企业全要素生产率均不断提高,由于内资企业增速更快,二者之间的差距开始缩小。进一步的分解表明,前沿技术进步已成为全要素生产率增长的核心动力,1999～2006年前沿技术进步对内外资企业生产率增长的贡献平均约为80%和90%。     

Shadow profit maximization and a measure of overall inefficiency

Determining the profit maximizing input–output bundle of a firm requires data on prices. This paper shows how endogenously determined shadow prices can be used in place of actual prices to obtain the optimal input–output bundle where the firm’s shadow profit is maximized. This approach amounts to an application of the Weak Axiom of Profit Maximization (WAPM) formulated by Varian [(1984) The Non-parametric approach to production analysis. Econometrica 52:3 (May) 579–597] based on shadow prices rather than actual prices. At these shadow prices, the shadow profit of a firm is zero. The maximum shadow profit that could have been attained at some other input–output bundle is shown to be a measure of the inefficiency of the firm. Because the benchmark input–output bundle is always an observed bundle from the data, it can be determined without having to solve any elaborate programming problem.

Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach

This paper proposes a dynamic multidirectional inefficiency analysis approach within the context of Data Envelopment Analysis to measuring input- and investment-specific managerial and program inefficiency for groups of firms characterized by different technologies. Dynamic managerial inefficiency refers to the distance to the firms’ group-specific dynamic frontier of best practices, and dynamic program inefficiency measures the difference between the group-specific dynamic frontier and the pooled dynamic frontier. The empirical application focuses on panel data of large meat processing firms in Eastern, Western and Southern Europe over the period 2005–2012. The results show that Eastern European firms have the highest dynamic managerial inefficiency for all inputs, but have the smallest values for dynamic program inefficiency. Western European firms perform worst in terms of program inefficiency for all inputs, while Southern European firms are the best with regard to dynamic managerial inefficiency. The results also reveal that regardless the dynamic inefficiency dimension considered, investments is the most inefficient input, followed by labor, and materials.     

企业计划职能的弱化及其对策

计划职能是管理的五项职能之一 ,并贯穿于其它职能之中。企业计划职能与管理的有效性息息相关。在对目前企业存在计划职能弱化现象分析的基础上 ,提出了治理对策。     

中国农业TFP的增长及其构成

总要素生产率TFP（TotalFactorProductivity）,是指一个企业、行业或地区,在一定时期内的总投入和总产出之比。农业TFP提高表明生产效率的提高。这种变化不仅使本行业产品价格下降,提升既定市场条件下农产品的竞争力,而且可以带动相关的产品和服务价格的下降,从而提高经济的整体竞争力。农业TFP的增长,还使得原本用于“必需品”生产的大量资源得以释放,为其他部门发展提供更多可用资源。本文拟以非参数的Malmquist生产率指数方法,分析1980年－1995年间我国农业生产率的变化及构成。     

On measures of technical inefficiency and production uncertainty in stochastic frontier production model with correlated error components

Analysis of the behavior of technical inefficiency with respect to parameters and variables of a stochastic frontier model is a neglected area of research in frontier literature. An attempt in this direction, however, has recently been made. It has been shown that in a “standard” stochastic frontier model that both the firm level technical inefficiency and the production uncertainty are monotonically decreasing with observational error. In this paper we show, considering a stochastic frontier model whose error components are jointly distributed as truncated bivariate normal, that this property holds if and only if the distribution of observational error is negatively skewed. We also derive a necessary and sufficient condition under which both firm level technical inefficiency and production uncertainty are monotonically increasing with noise-inefficiency correlation. We next propose a new measure of the industry level production uncertainty and establish the necessary and sufficient condition for firm level technical inefficiency and production uncertainty to be monotonically increasing with industry level production uncertainty. We also study the limiting probabilistic behavior of these conditions under different parametric configuration of our model. Finally we carry out Monte Carlo simulations to study the sample behavior of the population monotonic property of the firm level technical inefficiency and production uncertainty in our model.

Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach

We propose a kernel-based Bayesian framework for the analysis of stochastic frontiers and efficiency measurement. The primary feature of this framework is that the unknown distribution of inefficiency is approximated by a transformed Rosenblatt-Parzen kernel density estimator. To justify the kernel-based model, we conduct a Monte Carlo study and also apply the model to a panel of U.S. large banks. Simulation results show that the kernel-based model is capable of providing more precise estimation and prediction results than the commonly-used exponential stochastic frontier model. The Bayes factor also favors the kernel-based model over the exponential model in the empirical application.

     

The organizational environment with its measures,antecedents, and consequences: a review and research agenda

The organizational environment is a focal element of multifaceted managerial decisions. Consequently, research has shown a long lasting and still growing interest in investigating the organizational environment and understanding its impact on a firm. Because it is widely assumed that the business environment will become more dynamic, changes in the organizational environment have drawn the particular attention of many scholars. While the extant research has established valuable knowledge, its fragmentation due to differing definitions and contradictory findings calls for a broad review to establish a foundation for future research. By analyzing 279 studies that have investigated different aspects of the organizational environment between 1958 and mid-2017, we contribute to various research streams that involve this environmental factor. We use a comprehensive research framework to categorize and review the previous work. In particular, we distinguish between studies that define or measure the organizational environment, as well as studies that investigate antecedents, outcomes, and moderating effects of the organizational environments. Among those categories, we discuss our findings, before subsequently synthesizing existing works and deriving an agenda for future research.     

The distribution of lifetime earnings: a problem of intertemporal aggregation

Summary The main reason to study lifetime earnings as opposed to annual earnings is that the former are purged of life cycle influences. If annual earnings are described by a random variable, it logically follows that lifetime earnings are also random. This paper examines the implications of this statement, starting from the basic assumption that annual earnings of a new entrant to the labor force are a drawing from a two parameter lognormal distribution. It is found that the probability distribution function of lifetime earnings can be derived explicitly if one is willing to define lifetime earnings as a geometric mean.     

Stochastic Technical Change and Procyclical TFP The Case of Italian Agriculture

The paper questionsthe use of Total Factor Productivity (TFP) measures as a proxyfor the technological level in Italian agriculture. TFP growthreveals a cyclical behaviour and a short-run component due toshocks on both the demand and supply sides. In order to identifyreal long-run technological change, a Kalman filter procedureis applied to a stochastic process depicting the generation oftechnical change induced by R&D and Extension expenditure.The empirical evidence reveals that short-term shocks greatlyaffect the traditional measure of productivity. A better indicatorof technological progress can be obtained by estimating the long-runcomponent of productivity, which seems to be significantly inducedby R&D-Extension public expenditure.     

The adequacy of measures of gender roles attitudes: a review of current measures in omnibus surveys

The measures of attitudes toward gender roles included in many representative international and national omnibus surveys were developed mostly in the 1970s and 1980s with a focus on the male breadwinner model. This article deals with the issue of whether the measures provided in these omnibus surveys need to be adjusted to specific social changes. A review of these measures has found that adjustments have occurred in a limited way that focused on the role of women and disregarded the role of men. Furthermore, most of these measures only examined the traditional roles of men and women. More egalitarian role models have not been considered sufficiently. In addition, most items that have been measured are phrased in a general form and, for example, do not specify parents’ employment or the ages of children. A specification of these aspects of measurement would help to clarify the conceptual meaning of the results and increase the possibility of more accurately analyzing gender role attitudes over time.

     

基于随机前沿面神经网络的TFP贡献率测度

针对全要素生产率(TFP)贡献率测度的问题,研究了用神经网络来测量TFP贡献率的方法和用随机前沿面来测量TFP贡献率的方法;指出了这两种方法在测算中存在的缺陷。并在此基础之上,提出了运用随机前沿面模型构造出随机前沿面神经网络来测量TFP贡献率,从而实现了利用随机前沿面神经网络模型进行TFP测度贡献率。全部计算过程都通过了编程计算,收进我们自己的软件系统DASC。     

The directional profit efficiency measure: on why profit inefficiency is either technical or allocative

The directional distance function encompasses Shephard’s input and output distance functions and also allows nonradial projections of the assessed firm onto the frontier of the technology in a preassigned direction. However, the criteria underlying the choice of its associated directional vector are numerous. When market prices are observed and firms have a profit maximizing behavior, it seems natural to choose as the directional vector that projecting inefficient firms towards profit maximizing benchmarks. Based on that choice of directional vector, we introduce the directional profit efficiency measure and show that, in this general setting, profit inefficiency can be categorized as either technical, for firms situated within the interior of the technology, or allocative, for firms lying on the frontier. We implement and illustrate the analytical model by way of Data Envelopment Analysis techniques, and introduce the necessary optimization programs for profit inefficiency measurement.