A bootstrap analysis to investigate the economic efficiency of the logistics industry in Italy
| Autor: | Andrea Migliardi, Alessio Tei, Claudio Ferrari |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
two-stage analysis
Economic efficiency Strategy and Management Supply chain Logistics performance Distribution (economics) Management Science and Operations Research Management Information Systems Order (exchange) Management of Technology and Innovation 0502 economics and business Data envelopment analysis Balance sheet 050207 economics Business and International Management Marketing efficiency Italian logistics Logistics performance two-stage analysis Management Information Systems Control and Systems Engineering Information Systems Computer Science Applications Computer Vision and Pattern Recognition Management Science and Operations Research Location Productivity Industrial organization business.industry 05 social sciences Italian logistics Computer Science Applications efficiency Control and Systems Engineering Computer Vision and Pattern Recognition Business 050203 business & management Information Systems |
| Zdroj: | International Journal of Logistics Research and Applications. 21:20-34 |
| ISSN: | 1469-848X 1367-5567 |
| DOI: | 10.1080/13675567.2017.1353597 |
| Popis: | As argued by literature and consultancy reports, logistics enhances both productivity and competitiveness of several manufacturing supply chains. The analysis of the efficiency trends of logistics providers may shed light on some relevant aspects that can impact on the competitiveness of national industrial systems. Thus, the paper focuses on the Italian logistics supply, shedding lights on the distribution of the efficiency level within the logistics sector and its causes. The analysis is based on a two-stage methodology aimed at estimating the Italian logistics firms’ efficiency and defining some characteristics impacting the efficiency level. At first, we implement a Data Envelopment Analysis model based on balance sheet data, for the period 2006–2012, then an econometric regression is performed in order to identify the effects of main companies’ characteristics on firms’ efficiency. According to our results, size and geographical location are two of the most impacting variables explaining the ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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