Technical efficiency and productivity growth along the automotive value chain: evidence from Italy

Manello, Alessandro; Calabrese, Giuseppe; Frigero, Piercarlo

doi:10.1093/icc/dtv021

Cited by 26 publications

(23 citation statements)

References 39 publications

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“…Finally, the level of vertical dis-integration, measured as the ratio of external costs over total costs, accounts for differences in outsourcing strategies and vertical boundaries and shows a strongly positive impact on technical efficiency. This result suggests that outsourcing represents a valid instrument for increasing productivity levels, and is consistent with the results of Pieri and Zaninotto (2013) and Manello et al (2015).…”

Section: Second Stage Phasesupporting

confidence: 89%

Technical efficiency, unions and decentralized labor contracts

Devicienti

Manello

Vannoni

2017

European Journal of Operational Research

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This paper explores the link between the presence of unions in the workplace, the adoption of decentralized labor agreements and technical efficiency, using a relatively new methodology and a large sample of Italian manufacturing firms. We apply the Data Envelopment Analysis, and its robust version based on bootstrap theory, to get reliable estimates of technical efficiency at the firm level in a standard first stage. We devote particular attention to the specific technology adopted, by distinguishing 20 different sector frontiers, as well as to the presence of outliers. The obtained efficiency scores are analyzed in a second stage applying a truncated regression model estimated via Maximum Likelihood, following the Simar and Wilson (2007) methodology. Our results highlight that the presence of workplace unionization decreases the level of technical efficiency, while other aspects limiting unions' power such as a strong exposure to international markets, high debt levels or the prevalence of flexible assets partially reduce the union negative effect. However, when firms adopt decentralized labor contracts agreements, the effect on efficiency is positive and partially compensates the unions' effect. The results are robust to the inclusion of many firm characteristics over which managers have no direct control and to different model specifications.

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Section: Second Stage Phasesupporting

confidence: 89%

Technical efficiency, unions and decentralized labor contracts

Devicienti

Manello

Vannoni

2017

European Journal of Operational Research

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“…A more recent study, focusing on the Italian automotive industry in the 2007-2011 period, confirmed the neo-dualist hypothesis: the automotive sector appears to be characterized by a leader/laggard firm divide exacerbated during the crisis (Manello et al 2015).…”

Section: Widespread Growing Heterogeneity and The Italian Neodualistmentioning

confidence: 83%

Neodualism in the Italian business firms: training, organizational capabilities, and productivity distributions

et al. 2019

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractWhat has been the dynamics of productivity in the Italian business firms in the aftermath of the crisis? And what has been the impact of training efforts upon such dynamics? In this work we address these questions exploring a unique Italian microlevel dataset which links information on the amount and the nature of training and the balance-sheet data. First, we document what we call a neo-dualist tendency with a leader-laggard dynamics entailing a widening support of the productivity distributions. Second, we analyze the relationship between productivities and training intensities by means of quantile regression analysis, also controlling for additive fixed effects by means of Canay (2011) technique. There is indeed some relationship in the whole sample which however gets weaker when disaggregating by sector and by size. Moreover, hardly any dynamic relationship appears, either between initial training intensities and subsequent productivity changes, nor between changes in both variables. Our results do not imply of course that training is not important, but that its effectiveness must be shaped by other firm-specific characteristics, plausibly associated with idiosyncratic organizational capabilities.

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“…The firms are on the frontier surface are considered as efficient with holding the value of one and the firms who are lying below the frontier are said to be inefficient firms obtain the value less than the unit. Our study uses automobiles firms as DMUs followed by Manello et al (2016) and Manello and Calabrese (2017). The DEA model is defined as follows.…”

Section: Methodsmentioning

confidence: 99%

“…Table 1 shows the summary statistics of inputs and output variables used in DEA framework to obtain TFP growth and efficiency measures. We consider gross sales as output and materials cost, energy cost, labour cost and net fixed asset proxy for capital cost as input variables (Triantis, 2003;Manello et al, 2016;Manello and Calabrese, 2017). All values are in million rupees.…”

Section: Datamentioning

confidence: 99%

Productivity growth, efficiency change and source of inefficiency: evidence from the Indian automobile industry

Sahoo

Rath

2018

IJATM

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This paper investigates the productivity growth and efficiency change of selected automobile industry in India during 2009-2015. This study uses data envelopment analysis (DEA) technique to measure the productivity growth and efficiency change. The empirical findings suggest that the segments of the automobile industry, i.e., passenger vehicles, commercial vehicles and two wheelers have positive productivity growth in the recent period. However, our study found that commercial vehicles are more efficient as compared to passenger vehicles and two wheelers firms. Further, by applying DEA multistage approach to examine the sources of inefficiency. Our results reveal that excess inputs in near about 50% firms are cause of inefficiency and these inefficient firms can become efficient by targeting the peer group with the help of reducing the input sets which are overused in the production process.

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Technical efficiency and productivity growth along the automotive value chain: evidence from Italy

Cited by 26 publications

References 39 publications

Technical efficiency, unions and decentralized labor contracts

Technical efficiency, unions and decentralized labor contracts

Neodualism in the Italian business firms: training, organizational capabilities, and productivity distributions

Productivity growth, efficiency change and source of inefficiency: evidence from the Indian automobile industry

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