Trends in multifactor productivity and capital deepening

Tourism productivity measures are quite diverse, not always compatible and usually based partly on labor productivity for hotels and restaurants. This article develops a holistic approach that integrates the principles of the growth accounting framework and tourism satellite account to measure multifactor productivity, labor productivity and capital productivity for the Australian tourism industry. This study shows that tourism has been identified as a reservoir for other industries through the ebbs and flows of labor demands. Compared with the rest of the economy, the average growth of labor productivity—that is, income per unit of labor—for tourism is stagnant, and has reached an unprecedented low, six times below the market sector average, mainly because of low multifactor productivity. The results are valuable for policy makers and the lobbying groups wanting to identify areas of need for policy changes to ensure the healthy long-term growth of tourism.

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Capital Deepening and Technological Change: The Canadian Pulp and Paper Industry 1940–1960

Canadian Journal of Forest Research ◽

10.1139/x71-021 ◽

1971 ◽

Vol 1 (3) ◽

pp. 159-166 ◽

Cited By ~ 4

Author(s):

G. H. Manning ◽

G. Thornburn

Keyword(s):

Technological Change ◽

Production Function ◽

Chemical Industry ◽

Paper Industry ◽

Pulp And Paper Industry ◽

Plant Size ◽

Pulp And Paper ◽

Capital Deepening ◽

Forest Industries ◽

Pulp And Paper Industries

The pulp and paper industry is generally considered the most technologically progressive of the forest industries. A study employing Solow's method indicated a rise in the index of technological change of 50% between 1940 and 1960. This compares with a 547% increase for the chemical industry. Derivation of the capital production function for the pulp and paper industries shows that all increases in productivity, 1940–1960, were due to change in technology. There is also some indication that optimal plant size has been reached.

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Productivity dispersion in the Italian knowledge-intensive business services (KIBS) industry: a multilevel analysis

Management Decision ◽

10.1108/md-11-2020-1578 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Domenico Campisi ◽

Paolo Mancuso ◽

Stefano Luigi Mastrodonato ◽

Donato Morea

Keyword(s):

Multilevel Models ◽

Geographic Location ◽

Productivity Index ◽

Data Envelopment ◽

Business Services ◽

Content Type ◽

Knowledge Intensive Business Services ◽

Multifactor Productivity ◽

Knowledge Intensive ◽

Business Sectors

PurposeThis paper aims to provide an analysis of the productivity evolution of a sample of 18,459 knowledge-intensive business services (KIBS) firms operating in Italy over the period 2012–2018. The interaction between productivity heterogeneity firm localization and firm sector of business are also analyzed.Design/methodology/approachThe empirical setting is based on data envelopment analysis (DEA) to measure the multifactor productivity index (MPI) and on the multilevel models to investigate if the source of productivity heterogeneity among the Italian KIBS are due to the geographic location and/or to the specific business sectors in which firms operate. Data have been gathered from the AIDA database, which contains financial data of all Italian firms.FindingsThe empirical results show that MPI heterogeneity in the Italian KIBS firms' is sensitive to the regional context in which firms operate to the specific KIBS sector and above all at the interactions arising between region and sector.Originality/valueThe paper contributes to identify the source of productivity dispersion in the Italian KIBS.

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