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Multi-dimensional interactions in the oilfield market: A jackknife model averaging approach of spatial productivity analysis

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  • Gong, Binlei

Abstract

This paper develops a methodology to assess the productivity in oilfield service companies, taking multi-dimensional interactions (e.g., regions, segments, products) into account. Firstly, various spatial models are utilized on 54 oilfield service firms to estimate the production function that separately accounts for cross-sectional dependence in business segment and geography, where the general spatial model (GSM) is found to be the most efficient. Secondly, two GSM models, one accounting for interactions in business segments and the other in geography, are combined in a Jackknife model averaging method to derive the aggregate production function of the oilfield market. Evidence of cross-sectional dependence and constant returns to scale are found, as well as positive spillover effects across firms. Moreover, the oilfield market had achieved high-speed growth in productivity since 2003, but experienced a significant crash in 2009 after the financial crisis and productivity has stagnated in recent years.

Suggested Citation

  • Gong, Binlei, 2020. "Multi-dimensional interactions in the oilfield market: A jackknife model averaging approach of spatial productivity analysis," Energy Economics, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988317302992
    DOI: 10.1016/j.eneco.2017.08.032
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    References listed on IDEAS

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    More about this item

    Keywords

    Multi-dimensional interactions; Spatial econometric model; Model averaging method; Global oilfield market;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels

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