Productivity changes of pulp and paper industry in OECD countries, 1991–2000: a non-parametric Malmquist approach

Hseu, Jiing-Shyang

doi:10.1016/s1389-9341(03)00077-7

Cited by 7 publications

(9 citation statements)

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“…Nyrud and Baardsen (2003) and Nyrud and Bergseng (2002) employed a DEA analysis to measure production efficiency in approximately 200 Norwegian sawmills. Hseu and Shang (2005) applied DEA models in order to construct a Malmquist index in the pulp and paper industry. Other papers have used parametric and nonparametric techniques (DEA and Malmquist index) together in paper industries in a sample of OCDE countries (Hseu and Shang, 2005), or Canadian wood product industries (Sowlati and Vahid, 2006).…”

Section: Forestry Industrymentioning

confidence: 99%

“…Hseu and Shang (2005) applied DEA models in order to construct a Malmquist index in the pulp and paper industry. Other papers have used parametric and nonparametric techniques (DEA and Malmquist index) together in paper industries in a sample of OCDE countries (Hseu and Shang, 2005), or Canadian wood product industries (Sowlati and Vahid, 2006). Lee (2005a,b) analyzed the efficiency in the most important global forest and paper companies by using DEA.…”

Section: Forestry Industrymentioning

confidence: 99%

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Making forestry decisions with multiple criteria: A review and an assessment

Dı́az-Balteiro¹,

Romero²

2008

Forest Ecology and Management

292

177

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Section: Forestry Industrymentioning

confidence: 99%

Section: Forestry Industrymentioning

confidence: 99%

Making forestry decisions with multiple criteria: A review and an assessment

Dı́az-Balteiro¹,

Romero²

2008

Forest Ecology and Management

292

177

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“…More recently, Nyrud and Bergseng (2002) employed data envelopment analysis to measure productive efficiency in approximately 200 Norwegian sawmill firms. Hseu and Shang (2005) have applied DEA models in order to solve several distance functions used to construct Malmquist index in the pulp and paper industry. A recent overview of DEA and SFA application to timber production efficiency can be found in Carter and Siry (2003).…”

Section: Introductionmentioning

confidence: 99%

An analysis of productive efficiency and innovation activity using DEA: An application to Spain's wood-based industry

Dı́az-Balteiro

Herruzo

Martínez

et al. 2006

Forest Policy and Economics

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This paper intends to analyze the relationship between productive efficiency and innovation activity in Spain's wood-based industry. The methodology includes two levels of analysis. First, a non-parametric technique (data envelopment analysis, DEA) is applied with several inputs and outputs associated to economic and financial data. In a second stage, a logistic regression model explores the relationship between the property of efficiency and innovation activity indicators. This approach is used to analyze a set of firms in the following sectors: lumber and wood products, pulp and paper and wood furniture. Results do not show the existence of significant links between firm's efficiency and innovation activities. This outcome is consistent with a low firm priority toward R&D as a means to achieve competitiveness and an innovation strategy followed by many Spanish firms based on the acquisition of embodied technology available in international markets. In order to improve competitiveness in the long run, efforts should be made by Spanish wood-based firms to increase their production of in-house technologies.

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“…Twenty-nine countries are shown to be efficient. Hseu and Shang 2005OECD countries, 1991-2000 Inputs: wood pulp capacity, paper and paperboard capacity, number of employees Outputs: wood pulp, paper and paperboard…”

Section: Mohammad 2007mentioning

confidence: 99%

Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency

Melecký

Staníčková

Hančlová

2019

JRFM

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Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000–2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000–2007, 2008–2011, and 2012–2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.

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Productivity changes of pulp and paper industry in OECD countries, 1991–2000: a non-parametric Malmquist approach

Cited by 7 publications

References 0 publications

Making forestry decisions with multiple criteria: A review and an assessment

Making forestry decisions with multiple criteria: A review and an assessment

An analysis of productive efficiency and innovation activity using DEA: An application to Spain's wood-based industry

Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency

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