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Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants

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  • Andreas, Eder
  • Bernhard, Mahlberg
  • Bernhard, Stürmer

Abstract

This study explores productivity growth for a group of 65 Austrian biogas plants from 2006 to 2014 using Data Envelopment Analysis. The sample covers about 25 % of the installed electric capacity of Austrian biogas plants. Productivity growth is measured by calculating the Malmquist productivity index, and the contributions of technical change, efficiency change and scale change to productivity growth are isolated. Average annual productivity growth between 2006 and 2014 is 1.1 %. The decomposition of the Malmquist index shows that the annual scale change, technical change, and efficiency change for the average plant is 0.6 %, 0.3 % and 0.3 %, respectively. Those results indicate that the exploitation of returns to scale is a major driver of productivity growth in the Austrian biogas sector. However, there is a large variation in productivity growth across biogas plants. A second-stage regression analysis identifies important determinants of productivity growth. The results show that i) the exploitation of returns to scale as well as changes in ii) output diversification iii) capital intensity, iv) capacity utilization and v) feedstock prices are positively associated with productivity growth.

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  • Andreas, Eder & Bernhard, Mahlberg & Bernhard, Stürmer, 2017. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," MPRA Paper 79826, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:79826
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    2. Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.

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    More about this item

    Keywords

    Data Envelopment Analysis; Malmquist Productivity Index; Renewable Energy Sources; Biogas Energy; Cogeneration;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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