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Where does the wind blow? Green preferences and spatial misallocation in renewable energy sector

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  • Lin, Yatang

Abstract

Are "greener" investments less efficient? This paper looks at the location choices by wind power investors. I measures the efficiency loss in this sector due to wrong project location and explore the factors contributing to it. Using extensive information on wind resources, transmission, electricity price and other restrictions that might affect the siting of wind farms, I calculate the predicted profitability of wind power projects for all the possible places across the contiguous US, use it as a counterfactual for profit- maximizing wind power investment and compare it to the actual placement of wind farms. Average predicted profit of wind projects will raise by 47.1% had the 1770 current projects in the continental US been moved to the best 1770 sites. It is also shown that 80% and 42% of this observed deviation can be accounted for by within- state and within-county distortion. I show further evidence that a large proportion of the within-state and within-county spatial misallocation in wind farm siting can be attributable to green investors' “conspicuous generation” behaviour: wind farms in more environmental-friendly counties are more likely to be invested by local and non- profit investors, are closer to cities, are much less responsive to local fundamentals and have significant worse performance ex-post. Surprisingly, the implementation of state policies such as Renewable Portfolio Standard (RPS) and price-based subsidies are related to better within-state locational choices by adding more capacities in the “brown” counties and attract more for-profit investments, leading to improved observed efficiency, while lump-sum subsidies have the opposite or no effects. These findings calls for the attention from policy makers to the non-monetary incentives of renewable investors when determining the allocative efficiency of policies.

Suggested Citation

  • Lin, Yatang, 2016. "Where does the wind blow? Green preferences and spatial misallocation in renewable energy sector," LSE Research Online Documents on Economics 66442, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:66442
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    References listed on IDEAS

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    1. Jonathan A. Cook and C.-Y. Cynthia Lin Lawell, 2020. "Wind Turbine Shutdowns and Upgrades in Denmark: Timing Decisions and the Impact of Government Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 81-118.
    2. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
    3. Meredith Fowlie & Christopher R. Knittel & Catherine Wolfram, 2012. "Sacred Cars? Cost-Effective Regulation of Stationary and Nonstationary Pollution Sources," American Economic Journal: Economic Policy, American Economic Association, vol. 4(1), pages 98-126, February.
    4. Kahn, Matthew E. & Kok, Nils, 2014. "The capitalization of green labels in the California housing market," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 25-34.
    5. Pablo D Fajgelbaum & Eduardo Morales & Juan Carlos Suárez Serrato & Owen Zidar, 2019. "State Taxes and Spatial Misallocation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 333-376.
    6. Mark Jacobsen & Jacob LaRiviere & Michael Price, 2014. "Public Goods Provision in the Presence of Heterogeneous Green Preferences," NBER Working Papers 20266, National Bureau of Economic Research, Inc.
    7. Hunt Allcott, 2015. "Site Selection Bias in Program Evaluation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1117-1165.
    8. Koichiro Ito & James M. Sallee, 2018. "The Economics of Attribute-Based Regulation: Theory and Evidence from Fuel Economy Standards," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 319-336, May.
    9. Bird, Lori & Bolinger, Mark & Gagliano, Troy & Wiser, Ryan & Brown, Matthew & Parsons, Brian, 2005. "Policies and market factors driving wind power development in the United States," Energy Policy, Elsevier, vol. 33(11), pages 1397-1407, July.
    10. Sexton, Steven E. & Sexton, Alison L., 2014. "Conspicuous conservation: The Prius halo and willingness to pay for environmental bona fides," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 303-317.
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    More about this item

    Keywords

    Spatial misallocation; renewable energy policies; productivity; green preferences;
    All these keywords.

    JEL classification:

    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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