The effects of financial liberalization on productivity: Evidence from India’s manufacturing sector

Using a panel of India’s registered manufacturing firms and both economy-wide and firm-level financial data, we investigate the effects of India’s financial liberalization on the productivity of its manufacturing sector in the 1990s and 2000s. Our dynamic panel analysis shows that the series of financial liberalization policies/measures, at both the macro and micro levels, significantly enhanced the productivity of the manufacturing sector. Total factor productivity increased for all firms, including those owned by the state government, with greater gains for the firms in the private and foreign sectors. Our results suggest that policies favoring financial liberalization should be pursued further in order for India to foster higher economic growth.     

Econometric analysis of copyrights

This paper explores the impact of copyrights on firm value and on the demand for firm output. Using panel data on franchise value and ticket sales from the National Football League over the 1991–2000 period, we analyze the effect of copyrights (in this case, team logos) using several parametric estimators, the Arellano and Bond [1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58, 277–297] dynamic panel data estimator, and a semi-non-parametric method based on difference-in-differences propensity score matching. We find a negative effect of logo changes on franchise value that is robust across multiple specifications. In addition, logo changes also appear to have a moderate positive, albeit not particularly robust, impact on ticket sales.     

Estimating and Forecasting with a Dynamic Spatial Panel Data Model*

This study focuses on the estimation and predictive performance of several estimators for the dynamic and autoregressive spatial lag panel data model with spatially correlated disturbances. In the spirit of Arellano and Bond (1991) and Mutl (2006) , a dynamic spatial generalized method of moments (GMM) estimator is proposed based on Kapoor, Kelejian and Prucha (2007) for the spatial autoregressive (SAR) error model. The main idea is to mix non‐spatial and spatial instruments to obtain consistent estimates of the parameters. Then, a linear predictor of this spatial dynamic model is derived. Using Monte Carlo simulations, we compare the performance of the GMM spatial estimator to that of spatial and non‐spatial estimators and illustrate our approach with an application to new economic geography.     

Frontier production functions,technical efficiency and panel data: With application to paddy farmers in India

Frontier production functions are important for the prediction of technical efficiencies of individual firms in an industry. A stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time. The best predictor for the technical efficiency of an individual firm at a particular time period is presented for this time-varying model. An empirical example is presented using agricultural data for paddy farmers in a village in India.This article is a revision of the Invited Paper presented by the senior author in the Productivity and Efficiency Analysis sessions at the ORSA/TIMS 30th Joint National Meeting, Philadelphia, Pennsylvania, 29–31 October 1990. We have appreciated comments from Martin Beck, Phil Dawson, Knox Lovell and three anonymous referees. We gratefully acknowledge the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) for making available to us the data obtained from the Village Level Studies in India.     

Applying the reduce,reuse, and recycle principle in the hospitality sector: Its antecedents and performance implications

Although the literature on eco-friendly strategies followed by firms is abundant, the focus on the reduce, reuse, and recycle (3Rs) policies as the cornerstone of environmental sustainability is scarce. This study examines the 3Rs environmental strategy among 143 large organizations in the hospitality industry. We use the resource-based view (RBV) of the firm theory to test the strategy's determinants and its impact on business performance on a suggested conceptualization level. As hypothesized, green corporate governance and environmental management systems, along with slack financial resources, were found to positively influence the adoption of a 3Rs environmental strategy. In turn, the implementation of the latter leads to superior business performance, measured in terms of operating profits and Tobin's Q. The study has several implications on a theoretical, managerial, and public policy level where intriguing directions for future research are provided.     

Beyond profitability: effects of acquisitions on technical efficiency in the Italian pasta industry

Unlike traditional studies on the impact of ownership changes—which use either profitability measures or stock prices—this paper investigates the impact of acquisitions on acquired firms' technical efficiency. Using a panel of Italian firms in the pasta industry for the 1981–1997 period, I estimate a stochastic production frontier with exogenous factors affecting efficiency in a translog specification with non‐neutral technical progress. The main result is that acquired firms experience, within the 6 years period following the acquisition, an increase in technical efficiency of the order of 10%. This result is statistically significant and proves to be robust with respect to the inclusion of size and calendar year effects as explanatory variables of firms' inefficiency. These findings contribute to the debate on the welfare gains of ownership changes by providing evidence that mergers and acquisitions lead to cost savings, due to the reduction of acquired firms' X‐inefficiency. Copyright © 2002 John Wiley & Sons, Ltd.     

Firm efficiency and stock returns

In this paper, we investigate the role of firm efficiency in asset pricing using a sample of US publicly listed companies for the period 1988–2007. We employ non-parametric data envelopment analysis (DEA) on various input/output combinations, focusing on sales and market value as output measures in the construction of the frontier technologies. Using these performance measures, we examine whether efficient firms perform differently from inefficient firms following standard financial analysis procedures. First, we employ performance attribution regressions, by forming portfolios based on efficiency scores and tracking the performance of the various portfolios over time. Second, we perform cross-sectional/panel regressions to determine whether firm efficiency indeed has explanatory power for the cross-section of stock returns. Our results suggest that firm efficiency plays an important role in asset pricing and that efficient firms significantly outperform inefficient firms even after controlling for known risk factors.     

Firm-specific,industry-specific and macroeconomic factors of life insurers’ profitability: Evidence from Canada

The purpose of this study is to examine the effects of firm-specific, industry-specific and macroeconomic factors on the performance of life insurance firms. This study focuses on the Canadian life insurance sector, which is the second largest and oldest financial services sector in Canada. Using an empirical framework that incorporates both fixed and dynamic panel models that control for endogeneity issues, this research finds that size, liquidity, and risk exposure of life insurers are significant factors in their profitability. Secondly, industry concentration (e.g., HHI) fail to provide any meaningful evidence to support the structure-conduct-performance (SCP) theory in the static panel models, but in the dynamic models, industry concentration tends to have negative impacts on profitability. Macroeconomic factors such as real GDP growth and equity market returns are found to be significant determinants of insurers’ profitability. Finally, the persistence of profits for life insurers’ seems to lag that of their financial services counterparts (e.g., banks).     

Measuring social entrepreneurship and social value with leakage. Definition,analysis and policies for the hospitality industry

The aim is to analyze, define and examine the connections between social entrepreneurship and the generation of social value, considering the concept of leakage as a measure of social value creation and distribution for the hospitality industry. The paper also proposes an exploratory-theoretical framework of policies to promote social entrepreneurship in hospitality, reduce leakage, and increase the generation of social value. Firstly, the paper concentrates on the figure of the social entrepreneur as a promoter of social value creation. Secondly, it analyzes social value creation in hospitality and its measurement. Then, the article studies and presents leakage as an instrument to monitor social value created by social entrepreneurship in hospitality. Finally, the paper proposes a wide framework of policies to enhance social value creation in hospitality, through the reduction of leakage and reinforcement of social entrepreneurship. Leakage is a useful indicator to monitor social value creation in the hospitality industry. The reduction of leakage can gauge the success of policies promoting social entrepreneurship activities which improve social value creation for the host society. The paper proposes proper and idiosyncratic measures of social value creation in hospitality. It also provides a mechanism to measure the effectiveness of the actions designed to generate social entrepreneurship and social value, at a destination and also at firm or hotel level. A complete framework of actions and policies addressed to increase social entrepreneurship and social value is also proposed.     

Efficiency and productivity in the Thai non-life insurance industry

This paper estimates a stochastic cost frontier for a sample of the non-life insurance industry in Thailand from 2000 to 2007. Our model explicitly considers the heteroscedasticity in the variances of the noise and inefficiency components that could affect the position of the cost frontier as well as the measurement of efficiency. Tests for double heteroscedasticity and appropriate specification for the cost frontier are performed. The chosen model is used to examine whether economies of scale and a change in technology exist. In addition, this paper calculates total factor productivity (TFP) change and decomposes it into scale effect, cost efficiency effect, technology effect, output effect, price effect, and environmental effect. Our results reveal that, on average, Thai non-life insurance firms are between 74 and 79 % efficient, that economies of scale exist, and that regress in technology shifts the cost frontier upward by 2.2 %. The regress in technology is the dominant contributor to a negative TFP growth of 1.15 %. The restructuring of the industry following the 1997 Asian financial crisis finally paid off when the industry experienced technology progress in 2005 and beyond. Between 2005 and 2007, technology progress and productivity growth occurred at a little over 2 % a year. In-depth analysis of the most and the least efficient firms reveals that most efficient firms tend to strategically select types of insurance services and underwrite average and small size sum insured per policy to diversify their risks. In addition, they tend to be savvy investors. The opposite holds for the least efficient firms which concentrate in providing labor-intensive, small sum automobile insurance policies or underwrite large coverage policies for fewer policyholders. Balancing the mix of insurance types, spreading risk across insurance types or across number of policyholders, investing in high yield assets, or developing a market niche may prove beneficial for improving cost efficiency.     

Estimation Strategies for a Spatial Dynamic Panel using GMM. A New Approach to the Convergence Issue of European Regions

Abstract

While estimation methods for dynamic panel data and spatial econometric models are standard in economic literature, there has been a relatively recent development in methods which include spatial considerations in dynamic panel data models. This paper proposes two estimation strategies for spatial dynamic panel data models using the generalized method of moments (GMM). The first is to extend the moment restrictions of Arellano and Bond's estimator to a spatial autoregressive dynamic panel. The second allows for spatial dependence in the error process. The empirical application focuses on European regional growth over a 25-year period. We find empirical evidence of conditional convergence, which is significantly affected by spatial disparities.

Stratégies d'estimation pour un panel dynamique spatial faisant usage de GMM. Une nouvelle approche pour le problème de la convergence de régions d'Europe

Rèsumè Bien que les méthodes d'estimation pour les données de panels dynamiques, et les modèles économétriques spatiaux, sont des instruments standards dans les ouvrages d’économie, on a assisté à une évolution relativement récente des méthodes, qui comprend des considérations spatiales dans les modèles de panels dynamiques. La présente communication propose deux stratégies d'estimation concernant des modèles de données de panel dynamique spatiales faisant usage de la méthodes des moments généralisés (MMG). La première consiste à étendre les restrictions de moments de l'estimateur d'Arellano et Bond à un panel dynamique autorégressif spatial. La deuxième tient compte de la dépendance spatiale dans le processus des erreurs. L'application empirique se concentre sur l'expansion régionale en Europe au cours d'une période de 25 ans. Nous relevons des preuves empiriques de convergence conditionnelle, qui sont affectées de façon significative par des disparités spatiales.

Estrategias de estimación para un panel dinámico espacial utilizando GMM. Un nuevo planteamiento de la cuestión de la convergencia de regiones europeas

Extracto Aunque los métodos de estimación para datos dinámicos de panel y modelos econométricos espaciales son estándar en la bibliografía económica, se ha producido un desarrollo relativamente reciente en dichos métodos que incluye consideraciones espaciales en modelos de datos dinámicos de panel. Este estudio propone dos estrategias de estimación para los modelos de datos espaciales dinámicos de panel utilizando el método general de momentos (GMM). El primero sirve para extender las restricciones de momentos del estimador de Arellano y Bond a un panel espacial dinámico autorregresivo. El segundo tiene en cuenta una dependencia espacial en el proceso de error. La aplicación empírica se centra en el crecimiento regional europeo en un período de 25 años. Descubrimos evidencia empírica de convergencia condicional, que es afectada significativamente por disparidades espaciales.

     

Influences of the Business Environment on Manufacturing Firms Technical Efficiencies: The Côte d’Ivoire Case

An unbalanced panel is used to estimate technical and managerial efficiency levels of manufacturing firms in Côte d’Ivoire. A stochastic frontier production model with non-neutral effects on technical efficiency of the business environment variables is specified. This specification allows to evaluate and to compare technical efficiencies and efficiency levels net of business environment influences. In order to determine net efficiency levels in the non-neutral case, a practical method based on the definition of an artificial environment is proposed. Results suggest that informal firms are less technically efficient than formal firms whereas their managerial performances are closed to those of formal firms.     

Productive efficiency of French grain producers: A latent variable model

In this article we propose to implement a covariance structure analysis to deal with the estimation of a stochastic frontier production function on panel data and the measurement of a time-varying technical efficiency. First, this method solves the potential problem of correlations between input quantities and individual effects. Second, individual effects and efficiency measures can be recovered as a byproduct of the analysis through the so-called factor scores. We implement this approach by fitting to a balanced panel of French grain producers, a parsimonious version of the Cornwell, Schmidt, and Sickles [1990]'s model where technical efficiencies are individual-specific linear functions of time. A specification search shows that this model is preferred to the traditional production function. Results shed light on the temporal pattern of efficiency in the French grain production sector.The authors thank Jacques Mairesse, Quang Vuong, two referees, the editor, and session participants at the Econometric Society European Meeting, Cambridge, September 1991, at the Second European Workshop on Efficiency and Productivity Analysis, Louvain-la-Neuve, October 1991, at the Conference on Current Issues in Productivity, Newark, December 1991, and at the ENSAE-EHESS seminar, Paris, March 1992, for helpful comments and suggestions.     

Efficiency in pre‐merger and post‐merger non‐bank financial institutions

A two‐part process is employed to analyse the role of efficiency in merger and acquisition (M&A) activity in Australian credit unions during the period 1993–1997. The measures of efficiency are derived using the non‐parametric technique of data envelopment analysis. The first part uses panel data in the probit model to relate pure technical efficiency, along with other managerial, regulatory and financial factors, to the probability of merger activity, either as an acquiring or acquired entity. The results indicate that loan portfolio diversification, management ability, earnings and asset size are a significant influence on the probability of acquisition, though the primary determinant of being acquired is smaller asset size. The second part uses a tobit model adapted to a panel framework to analyse post‐merger efficiency. Mergers appear to have improved both pure technical efficiency and scale efficiency in the credit union industry. Copyright © 2001 John Wiley & Sons, Ltd.     

Measuring technical efficiency in European railways: A panel data approach

We estimate a factor requirement frontier for European railways using a panel data approach in which technical efficiency is assumed to be endogeneously determined. This approach has two main outcomes. On one hand, it allows the identification of factors influencing technical efficiency, and on the other hand, it allows the estimation of alternative efficiency indicators free of these influences. In the case under study, a particular attention is devoted to an autonomy indicator representing the managerial freedom, with respect to public authorities, experienced by firms, that appears to be positively correlated with technical efficiency.     

Comparisons of agricultural productivity growth in China and India

We measure and compare agricultural total factor productivity (TFP) growth and its components (efficiency and technical change) in China and India and test the TFP series for the existence of structural breaks relating the evolution of TFP to policy milestones. Our results show that agricultural TFP growth accelerates in China after 1979 and in India after 1974, although China’s agricultural sector clearly outperforms India’s. The main explanation of these differentials is that agricultural growth in China benefited from more fundamental institutional and policy reforms in agriculture than India. There is some evidence that the transformation of industry in China was also important for agricultural TFP growth. Manufacture growth absorbed labor and reduced employment in agriculture, creating incentives for capital investment and technical change that kept output per worker in agriculture growing at high rates. Fewer changes in agricultural policies and in the dynamics of manufacturing in India resulted in slower growth in agricultural productivity, despite policy changes that accelerated economic growth in recent years.     

ISO 9000 practices and financial performance: A technology coherence perspective

Attention to processes has increased, as thousands of organizations have adopted process-focused programs such as TQM and ISO 9000. Proponents of such programs stress the promise of improved efficiency and profitability. But research has not consistently borne out these prospects. Moreover, the expectation of universal benefits is not consistent with research highlighting the important role of firm-specific capabilities in sustaining competitive advantage. In this paper, we use longitudinal panel data on ISO 9000 practices for firms in the auto supplier industry to study two new issues related to the adoption of process management practices. First, we find that, as the majority of firms within an industry adopt ISO 9000, late adopters no longer gain financial benefits from these practices. Second, we explore how firms’ technological coherence moderates the performance advantages of ISO 9000 practices. We find that firms that have a very narrow or very broad technological focus have fewer opportunities for complementary interactions that arise from process management practices and thus benefit less than those with limited breadth in technologically related activities.     

Lock-in and unobserved preferences in server operating systems: A case of Linux vs. Windows

This paper investigates to what extent the persistence of Microsoft Windows in the market for server operating systems is due to lock-in or unobserved preferences. While the hypothesis of lock-in plays an important role in the antitrust policy debate for the operating systems market, it has not been extensively documented empirically. To account for unobserved preferences, we use a panel data identification approach based on time-variant group fixed effects, and estimate the dynamic discrete choice panel data model developed by Arellano and Carrasco (2003). Using detailed establishment-level data, we find that once we account for unobserved preferences, the estimated magnitudes of lock-in are considerably smaller than those from the conventional approaches, suggesting that unobserved preferences play a major role in the persistence of Windows. Further robustness checks are consistent with our findings.     

Export orientation and technical efficiency: clothing firms in China

Based on 287 of the largest clothing manufacturing firms in southern China in terms of output value, we employed data envelopment analysis to estimate the technical efficiency of the sample firms. A regression analysis was conducted to examine the effects of export orientation on technical efficiency. Our results suggest a U‐shaped relationship between export ratio and technical efficiency. The specific nature of the industry in Guangdong province can explain that clothing firms with a high degree of sales in the domestic market or with a high level of export orientation experience a higher level of technical efficiency than those firms trying to conquer both the local and the overseas markets. Copyright © 2010 John Wiley & Sons, Ltd.     

A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli (1992).