Productivity Growth in Apec Countries

Chambers, Robert G.; Fāure, Rolf; Grosskopf, Shawna

doi:10.1111/j.1468-0106.1996.tb00184.x

Cited by 292 publications

(145 citation statements)

References 4 publications

Supporting

Mentioning

144

Contrasting

Order By: Relevance

“…Regarding the weights that we will use in order to solve model [2], it is worth mentioning that we will resort to the weights w i -= 1 (m + s), i = 1,...,m, and w r + = 1 (m + s), r = 1,...,s. Nevertheless, from the existing literature, we have several possibilities for selecting the weights: the Measure of Inefficiency Proportions (MIP) (Cooper et al, 1999) considering 5 Changes in productivity in the Spanish virgin olive oil sector output Shephard distance functions, Chambers et al (1996) defined the Luenberger productivity change indicator, that is a difference-based index of the directional distance function that accounts for both input contractions and output improvements.…”

Section: The Weighted Additive Distance Functionmentioning

confidence: 99%

Changes in productivity in the virgin olive oil sector: An application to Protected Designations of Origin in Spain

Aparicio

Monge

Ortíz

et al. 2016

Span. j. agric. res.

View full text Add to dashboard Cite

to the population´s growing concerns related to healthy aspects of food, there is also a growing interest taken in the origin or provenance of products as a source of information and significance in the sale of products and brands (Brugarolas et al., 2010). Without a doubt, one of the most successful formulas that agri-food operators have when it comes to competing in increasingly global markets, consists of emphasising all those aspects related to origin or provenance of products through different figures of protection. These figures are the Protected Designations of Origin (PDOs) and the Protected Geographical Indications (PGIs), both RESEARCH ARTICLE OPEN ACCESS AbstractVirgin olive oil is a key ingredient of the renowned Mediterranean diet. In this context, the main objective of this study was to estimate and decompose productivity change for Protected Designations of Origin (PDOs) in the Spanish virgin olive oil sector for the period 2008-2013. To this end, we introduced a Luenberger-type indicator based on a specific weighted additive model in Data Envelopment Analysis (DEA), which, in contrast to previous studies, captured all sources of inefficiency and avoided infeasibilities. Regarding the results, we found a reduction in productivity, in average terms, in the first periods analyzed (-0.12 and -1.65), followed by an improvement (0.79 and 0.54), that in the last period analyzed (2012)(2013), however, returned to adverse figures (-0.47). In Spain, where foreign competition is weak, the most productive PDOs were those with an important number of oil mills and packaging/marketing companies such as "Montes de Toledo" and "Siurana"; productivity changes were mainly the consequence of downwards and upwards of the frontier of the technology over time. These changes were explained, to a certain extent, by the evolution of the economic crisis; and the productivity of the sector declined, in general, from 2008 to 2010, improving thereafter except for the last registered period, 2012-2013, where expectations for market recovery exceeded actual sales.

show abstract

Section: The Weighted Additive Distance Functionmentioning

confidence: 99%

Changes in productivity in the virgin olive oil sector: An application to Protected Designations of Origin in Spain

Aparicio

Monge

Ortíz

et al. 2016

Span. j. agric. res.

View full text Add to dashboard Cite

show abstract

“…Following Chambers et al [16] , the Luenberger productivity index for period t and t+1 is defined as: { …”

Section: Luenberger Productivity Indexmentioning

confidence: 99%

Research on Environmental Total Factor Productivity Growth of China’s Industry

Guo¹,

Yuan²,

Rong-hui³

2017

dtssehs

View full text Add to dashboard Cite

“…As shown in Chambers et al (1996), the Luenberger productivity indicator can be decomposed additively into an efficiency component, Depending on negative or positive development these components take values less than zero and values that exceed zero, respectively. In the above model, Equations (1) to (5), the production of bad outputs has been taken into account explicitly.…”

Section: The Luenberger Productivity Indicator Including Bad Outputmentioning

confidence: 99%

“…To our knowledge, this particular difference approach has never been applied to address the question whether excluding bad outputs biases productivity growth accounting. Also, following Chambers et al (1996), we additively decompose the Luenberger indicator into technical change and efficiency change. The Luenberger indicator and its components can be added over firms, aggregating firm indicators up to an industry indicator.…”

Section: Introductionmentioning

confidence: 99%