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Conventional procedure vis-à-vis bootstrap-based corrections of efficiency analyses

Conventional procedure vis-à-vis bootstrap-based corrections of efficiency analyses This paper aims to evaluate the performance of basic metals industry in India and analyze its determinants, using data envelopment analysis (DEA) method. It also intends to compare the results through conventional two-stage and bootstrap-based inferences.Design/methodology/approachConsidering technical efficiency as a measure of performance, this paper specifically investigates whether the participation of a firm in the global market affects its performance. The conventional two-stage procedure is used to test the export intensity and firm performance nexus. The bootstrap-based algorithms (by Simar and Wilson, 2007) are used to correct the bias and serial correlation issues involved in the conventional approach.FindingsThe result shows a negative relation between export intensity and firm performance while following the conventional procedure. Even after accounting for serial correlation, the relation remains more or less similar to that of conventional analysis. However, a strong negative relation between export intensity and firm performance is not observed in a more reliable inference obtained after correcting for possible bias as well as serial correlation.Research limitations/implicationsThis paper is based on cross-sectional analysis, and a more reliable result can be obtained by considering a larger sample and longer period.Originality/valueThis paper shows how the conventional two-stage procedure may result in misleading inferences due to bias in the estimation of efficiency scores and the serial correlation during the second stage inferential analysis. This paper also empirically exemplifies how the double bootstrap DEA procedure can overcome these limitations of the conventional two-stage approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Indian Growth and Development Review Emerald Publishing

Conventional procedure vis-à-vis bootstrap-based corrections of efficiency analyses

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1753-8254
DOI
10.1108/igdr-04-2019-0035
Publisher site
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Abstract

This paper aims to evaluate the performance of basic metals industry in India and analyze its determinants, using data envelopment analysis (DEA) method. It also intends to compare the results through conventional two-stage and bootstrap-based inferences.Design/methodology/approachConsidering technical efficiency as a measure of performance, this paper specifically investigates whether the participation of a firm in the global market affects its performance. The conventional two-stage procedure is used to test the export intensity and firm performance nexus. The bootstrap-based algorithms (by Simar and Wilson, 2007) are used to correct the bias and serial correlation issues involved in the conventional approach.FindingsThe result shows a negative relation between export intensity and firm performance while following the conventional procedure. Even after accounting for serial correlation, the relation remains more or less similar to that of conventional analysis. However, a strong negative relation between export intensity and firm performance is not observed in a more reliable inference obtained after correcting for possible bias as well as serial correlation.Research limitations/implicationsThis paper is based on cross-sectional analysis, and a more reliable result can be obtained by considering a larger sample and longer period.Originality/valueThis paper shows how the conventional two-stage procedure may result in misleading inferences due to bias in the estimation of efficiency scores and the serial correlation during the second stage inferential analysis. This paper also empirically exemplifies how the double bootstrap DEA procedure can overcome these limitations of the conventional two-stage approach.

Journal

Indian Growth and Development Review – Emerald Publishing

Published: Dec 15, 2020

Keywords: Data envelopment analysis; Firm performance; Export intensity; Manufacturing; Double bootstrap; Growth and development strategies; Trade policy; C14; F14; L25; L61

References

  • Do export status and export intensity increase firm performance?
    Abor, J.
  • Efficiency estimation of production functions
    Afriat, S.N.
  • On estimating the industry production function
    Aigner, D.J.; Chu, S.F.
  • Formulation and estimation of stochastic frontier production function models
    Aigner, D.J.; Lovell, C.K.; Schmidt, P.
  • Modelling the performance of Australian hotels: a DEA double bootstrap approach
    Assaf, A.G.; Agbola, F.W.
  • R&D investment, exporting, and productivity dynamics
    Aw, B.Y.; Roberts, M.J.; , Y.; Xu, D.
  • Trade liberalisation and productivity growth in manufacturing: evidence from firm-level panel data
    Balakrishnan, P.; Pushpangadan, K.; Babu, M.S.
  • Some models for estimating technical and scale inefficiencies in data envelopment analysis
    Banker, R.D.; Charnes, A.; Cooper, W.W.
  • A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies
    Battese, G.E.; Rao, D.P.; O’Donnell, C.J.
  • Concentration, entry barriers and profitability in the Indian industries: an empirical analysis
    Bhandari, A.K.
  • Efficiency of Indian manufacturing firms: textile industry as a case study
    Bhandari, A.K.; Maiti, P.
  • Efficiency of the Indian leather firms: some results obtained using the two conventional methods
    Bhandari, A.K.; Maiti, P.
  • Technical efficiency in the Indian textiles industry: a non-parametric analysis of firm-level data
    Bhandari, A.K.; Ray, S.C.
  • Efficiency and related technological aspects of the Indian food processing industry: a non-parametric analysis
    Bhandari, A.K.; Vipin, V.
  • Measuring performance: an introduction to data envelopment analysis (DEA)
    Bowlin, W.F.
  • Efficiency analysis of developing country agriculture: a review of the frontier function literature
    Bravo-Ureta, B.E.; Pinheiro, A.E.
  • Measuring the efficiency of decision-making units
    Charnes, A.; Cooper, W.W.; Rhodes, E.
  • Export performance and productivity growth: the case of Taiwan
    Chen, T.J.; Tang, D.P.
  • Impact of trade liberalisation on technical efficiency of Vietnamese manufacturing firms
    Chu, S.N.; Kalirajan, K.
  • Productivity, exporting, and the learning-by- exporting hypothesis: direct evidence from UK firms
    Crespi, G.; Criscuolo, C.; Haskel, J.
  • Export intensity and productivity
    Crinò, R.; Epifani, P.
  • Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach
    Daraio, C.; Simar, L.
  • Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production
    Daraio, C.; Simar, L.; Wilson, P.W.
  • Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete environmental variables
    De Witte, K.; Kortelainen, M.
  • Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese banking
    Du, K.; Worthington, A.C.; Zelenyuk, V.
  • Bootstrap methods: another look at the jackknife
    Efron, B.
  • The measurement of productive efficiency
    Farrell, M.J.
  • Two-stage DEA-Truncated regression: application in banking efficiency and financial development
    Fernandes, F.D.S.; Stasinakis, C.; Bardarova, V.
  • Bootstrapping confidence intervals for linear programming efficiency scores: with an illustration using Italian banking data
    Ferrier, G.D.; Hirschberg, J.G.
  • On estimating efficient production functions
    Gabrielsen, A.
  • Export propensity, export intensity and firm performance: the role of the entrepreneurial founding team
    Ganotakis, P.; Love, J.H.
  • National steel policy 2005
  • Firm-level interactions between exporting and productivity: industry-specific evidence
    Greenaway, D.; Yu, Z.
  • Financial factors and exporting decisions
    Greenaway, D.; Guariglia, A.; Kneller, R.
  • Exporting may not always boost firm productivity
    Greenaway, D.; Gullstrand, J.; Kneller, R.
  • Statistical inference and nonparametric efficiency: a selective survey
    Grosskopf, S.
  • Trade, knowledge spillovers, and growth
    Grossman, G.M.; Helpman, E.
  • An empirical study on productivity analysis of Indian leather industry
    Gupta, S.K.; Gupta, S.; Dhamija, P.
  • Exporting and firm performance: evidence from India
    Gupta, A.; Patnaik, I.; Shah, A.
  • Exports and productivity: an empirical analysis of German and Austrian firm-level performance
    Hansen, T.
  • Sources of agricultural productivity gap among selected countries
    Hayami, Y.
  • Agricultural productivity diffrences among countries
    Hayami, Y.; Ruttan, V.W.
  • Some estimators for a linear model with random coefficients
    Hildreth, C.; Houck, J.P.
  • Industries and sectors: basic metal production
  • Alternative methods to examine hospital efficiency: data envelopment analysis and stochastic frontier analysis
    Jacobs, R.
  • Productivity measurement in Indian manufacturing: a comparison of alternative methods
    Kathuria, V.; Raj, R.S.; Sen, K.
  • International technology diffusion
    Keller, W.
  • Exports, FDI, and productivity: dynamic evidence from Japanese firms
    Kimura, F.; Kiyota, K.
  • A note on the convergence of nonparametric DEA estimators for production efficiency scores
    Kneip, A.; Park, B.U.; Simar, L.
  • Assessing technical efficiency of sugar industry in Uttar Pradesh: an application of data envelopment analysis
    Kumar, S.; Arora, N.
  • DEA models for supply chain efficiency evaluation
    Liang, L.; Yang, F.; Cook, W.D.; Zhu, J.
  • Export activity and productivity: evidence from the Taiwan electronics industry
    Liu, J.T.; Tsou, M.W.; Hammitt, J.K.
  • Productivity growth of Indian manufacturing sector: panel estimation of stochastic production frontier and technical inefficiency
    Madheswaran, S.; Liao, H.; Rath, B.N.
  • Conditional technology spillovers from foreign direct investment: evidence from Indian manufacturing industries
    Malik, S.K.
  • Efficiency estimation from Cobb-Douglas production functions with composed error
    Meeusen, W.; Van Den Broeck, J.
  • Exports- R&D investment complementarity and economic performance of firms located in Portugal
    Neves, A.; Teixeira, A.A.; Silva, S.T.
  • Statistical precision of DEA and malmquist indices: a bootstrap application to Norwegian grain producers
    Odeck, J.
  • Productivity and industrial development in Sub-Saharan Africa
    Pack, H.
  • Performance evaluation of electric distribution utilities based on data envelopment analysis
    Pahwa, A.; Feng, X.; Lubkeman, D.
  • Historical analysis of performance measurement and management in operations management
    Radnor, Z.J.; Barnes, D.
  • Resource-use efficiency in public schools: a study of Connecticut data
    Ray, SC
  • Did India’s economic reforms improve efficiency and productivity? A nonparametric analysis of the initial evidence from manufacturing
    Ray, S.C.
  • Estimating the efficiency of production
    Richmond, J.
  • Consolidation in Indian banking: does size matter?
    Saha, A.; Dash, U.
  • Testing allocative efficiency by data envelopment analysis
    Sengupta, J.K.
  • Production efficiency versus ownership: the case of China
    Shiu, A.; Zelenyuk, V.
  • Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models
    Simar, L.; Wilson, P.W.
  • A general methodology for bootstrapping in non-parametric frontier models
    Simar, L.; Wilson, P.W.
  • Estimation and inference in two-stage, semi-parametric models of production processes
    Simar, L.; Wilson, P.W.
  • Efficient inference in a random coefficient regression model
    Swamy, P.A.
  • Non-parametric efficiency, progress and regress measuresfor panel data: methodological aspects
    Tulkens, H.; Eeckaut, P.V.
  • Trade liberalization and the dimensions of efficiency change in Mexican manufacturing industries
    Tybout, J.R.; Westbrook, M.D.
  • Firm size matters: growth and productivity growth in African manufacturing
    Van Biesebroeck, J.
  • Exports, firm size, and firm dynamics
    Wagner, J.
  • Dimension reduction in nonparametric models of production
    Wilson, P.W.
  • Discussion on Mr Farrell’s paper
    Winsten, C.B.
  • Mining and metals in a sustainable world 2050
  • International trade and market access data
  • An empirical survey of frontier efficiency measurement techniques in local government
    Worthington, A.; Dollery, B.
  • Overcoming the inherent dependency of DEA efficiency scores: a bootstrap approach
    Xue, M.; Harker, P.T.
  • Efficiency and effectiveness in railway performance using a multi- activity network DEA model
    Yu, M.-M.; Lin, E.T.
  • A survey of data envelopment analysis in energy and environmental studies
    Zhou, P.; Ang, B.W.; Poh, K.-L.
  • Principal characteristics by major industry group for the year
  • Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with bootstrapping
    Simar, L.
  • Volume growth rates of merchandise exports and imports