Index Number and Factor Demand Approaches to the Estimation of Productivity

Good, David H.; Nadiri, M. Ishaq; Sickles, Robin C.

doi:10.3386/w5790

Cited by 111 publications

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“…It is usually defined as a residual, after the contribution of labour and capital to output growth has been taken into account. A Solow-type TFP index based on the Cobb-Douglas production function with constant returns to scale is as follows (Good, et al, 1997),…”

Section: A Methods Of Estimationmentioning

confidence: 99%

Township and Village Enterprises in China

Fu¹,

Balasubramanyam²

2003

Journal of Development Studies

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Township and Village Enterprises (TVEs) have played a significant role in the growth of the Chinese economy since the economic reforms of 1978. This paper analyses the productive efficiency of a cross section of TVEs in the manufacturing sector, and compares them with those for state-owned enterprises (SOEs) and major international competitors of TVEs. TVEs are found to be much more efficient than comparable SOEs. They are also competitive in the international markets. Their management which responds to market forces and their outward-orientation have contributed to their productive efficiency. The performance of TVEs suggests that efficient management, which successfully exploits the endowments and resources of the country rather than the nature of ownership of production entities, is crucial to the success of manufacturing firms.

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Section: A Methods Of Estimationmentioning

confidence: 99%

Township and Village Enterprises in China

Fu¹,

Balasubramanyam²

2003

Journal of Development Studies

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“…Productivity Index, first introduced by Caves et al (1982) and extended by Good et al (1997). This methodology consists of computing the TFP index for firm i at time t as follows:…”

Section: Data Sources: the Eae Survey And The Diane Databasementioning

confidence: 99%

The impact of financial constraints on firm survival and growth

Musso¹,

Schiavo²

2008

J Evol Econ

325

224

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We propose a new approach for identifying and measuring the degree of financial constraint faced by firms and use it to investigate the effect of financial constraints on firm survival and development. Using panel data on French manufacturing firms over the 1996 -2004 period, we find that (i) financial constraints significantly increase the probability of exiting the market, (ii) access to external financial resources has a positive effect on the growth of firms in terms of sales, capital stock and employment, (iii) financial constraints are positively related with productivity growth in the shortrun. We interpret this last result as the sign that constrained firms need to cut costs in order to generate the resources they cannot raise on financial markets.

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“…These models are highly parametric and rely on strong distributional assumptions for identification. Models of this sort have been considered by, among others, Lau and Yotopoulos (1971), Toda (1976), Atkinson and Halvorsen (1980), Lovell and Sickles (1983), Sickles et al (1986), Kumbhakar (1987), Good et al (1991), Atkinson and Cornwell (1994), and Good et al (1997). For an excellent review of this class of models as well as the methods we address herein see Greene (1997) and Lovell and Kumbhakar (2000).…”

Section: The Semiparametric Model and Estimators Of Technical Efficiencymentioning

confidence: 99%

Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings

Sickles

2005

Journal of Econometrics

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The paper analyzes a number of competing approaches to modeling efficiency in panel studies. The specifications considered include the fixed effects stochastic frontier, the random effects stochastic frontier, the Hausman-Taylor random effects stochastic frontier, and the random and fixed effects stochastic frontier with an AR(1) error. I have summarized the foundations and properties of estimators that have appeared elsewhere and have described the model assumptions under which each of the estimators have been developed. I discuss parametric and nonparametric treatments of time varying efficiency including the BatteseCoelli estimator and linear programming approaches to efficiency measurement. Monte Carlo simulation is used to compare the various estimators and to assess their relative performances under a variety of misspecified settings. A brief illustration of the estimators is conducted using U. S. banking data.

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Index Number and Factor Demand Approaches to the Estimation of Productivity

Cited by 111 publications

References 0 publications

Township and Village Enterprises in China

Township and Village Enterprises in China

The impact of financial constraints on firm survival and growth

Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings

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