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Time-saving innovations, time allocation, and energy use: Evidence from Canadian households

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  • Brencic, Vera
  • Young, Denise

Abstract

Time and energy are major inputs into the production of household goods and services. As a result, the market penetration of time-saving technologies for general household use is expected to affect both a household's (i) allocation of time across home production and leisure activities; and (ii) energy use. For example, with a household's adoption of a microwave or a dishwasher, cooking food and washing dishes will require less time, and therefore in-home meal preparation may increase. Households with microwaves or dishwashers may also opt to spend more time undertaking other production activities, inside or outside the home, or engage in more leisure (watching TV, reading, exercising). To the extent that time is reallocated from less to more energy-intensive activities in the home, residential energy use will increase as households adopt appliances that embody time-saving technology. Furthermore, an adoption of time-saving technologies for basic household chores, such as meal preparation and laundry, can impact energy use due to the fact that many time-saving technologies are more energy intensive than alternative technologies that require larger time commitments. In this paper, we use the Canadian Survey of Household Energy Use data from 2003 to examine the extent to which ownership of products that embody time-saving innovations affects time allocation and energy use at the household level.

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  • Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
  • Handle: RePEc:eee:ecolec:v:68:y:2009:i:11:p:2859-2867
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    1. Reuben Gronau & Daniel S. Hamermesh, 2008. "The Demand for Variety: A Household Production Perspective," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 562-572, August.
    2. Hamermesh, Daniel S., 2007. "AJAE Appendix: Time to Eat: Household Production Under Increasing Income Inequality," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(4), pages 1-8, November.
    3. Thomas F. Crossley & Yuqian Lu, 2004. "Exploring the Returns-to-Scale in Food Preparation," Department of Economics Working Papers 2004-06, McMaster University.
    4. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    5. Koomey, Jonathan G. & Mahler, Susan A. & Webber, Carrie A. & McMahon, James E., 1999. "Projected regional impacts of appliance efficiency standards for the US residential sector," Energy, Elsevier, vol. 24(1), pages 69-84.
    6. Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
    7. Thomas F. Crossley & Yuqian Lu, 2004. "Exploring the Returns to Scale in Food Preparation (Baking Penny Buns at Home)," Social and Economic Dimensions of an Aging Population Research Papers 121, McMaster University.
    8. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    9. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    10. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    11. Biesiot, Wouter & Noorman, Klaas Jan, 1999. "Energy requirements of household consumption: a case study of The Netherlands," Ecological Economics, Elsevier, vol. 28(3), pages 367-383, March.
    12. Meyers, S & McMahon, J.E & McNeil, M & Liu, X, 2003. "Impacts of US federal energy efficiency standards for residential appliances," Energy, Elsevier, vol. 28(8), pages 755-767.
    13. Brown, Marilyn A. & Levine, Mark D. & Short, Walter & Koomey, Jonathan G., 2001. "Scenarios for a clean energy future," Energy Policy, Elsevier, vol. 29(14), pages 1179-1196, November.
    14. Jalas, Mikko, 2002. "A time use perspective on the materials intensity of consumption," Ecological Economics, Elsevier, vol. 41(1), pages 109-123, April.
    15. Koomey, Jonathan G. & Webber, Carrie A. & Atkinson, Celina S. & Nicholls, Andrew, 2001. "Addressing energy-related challenges for the US buildings sector: results from the clean energy futures study," Energy Policy, Elsevier, vol. 29(14), pages 1209-1221, November.
    16. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
    17. E. Raphael Branch, 1993. "Short Run Income Elasticity of Demand for Residential Electricity Using Consumer Expenditure Survey Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 111-122.
    18. Lucas W. Davis, 2008. "Durable goods and residential demand for energy and water: evidence from a field trial," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 530-546, June.
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    3. De Lauretis, Simona & Ghersi, Frédéric & Cayla, Jean-Michel, 2017. "Energy consumption and activity patterns: An analysis extended to total time and energy use for French households," Applied Energy, Elsevier, vol. 206(C), pages 634-648.
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    More about this item

    Keywords

    Time rebound effects Residential energy use Household production;

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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