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The Impact of Disaggregated Social Capital on Household Electricity Intensity

Author

Listed:
  • Djula Borozan

    (Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, Croatia)

  • Mirjana Radman Funaric

    (Polytechnic in Pozega, Croatia)

Abstract

This paper aims, firstly, to analyse the dynamics of electricity efficiency measured by electricity intensity in the household sector in Croatia at the subnational level, in the period 2001-2013. Then, to shed more light on determinants affecting electricity intensity, it evaluates the effect of social capital thereon by conducting the stepwise and quantile regression methods. The results of the former indicate support for a negative effect of generalised trust and reciprocity on household electricity intensity. The results of the latter show that social capital does not influence electricity intensity uniformly; in other words, its influence is more significant in tourism-oriented regions and regions lagging behind. The findings are briefly discussed within the social study findings aimed at encouraging energy efficiency and sustainable behaviour of households through collective action for which generalised trust and reciprocity, as well as social trust in general, are crucial.

Suggested Citation

  • Djula Borozan & Mirjana Radman Funaric, 2018. "The Impact of Disaggregated Social Capital on Household Electricity Intensity," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 16(2), pages 189-207.
    • Handle: RePEc:seb:journl:v:16:y:2018:i:2:p:189-207
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    References listed on IDEAS

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    1. McMichael, Megan & Shipworth, David, 2013. "The value of social networks in the diffusion of energy-efficiency innovations in UK households," Energy Policy, Elsevier, vol. 53(C), pages 159-168.
    2. Inglesi-Lotz, R. & Blignaut, J.N., 2012. "Electricity intensities of the OECD and South Africa: A comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4491-4499.
    3. Bulat Sanditov & Saurabh Arora, 2016. "Social network and private provision of public goods," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 195-218, March.
    4. Bulat Sanditov & Saurabh Arora, 2016. "Social network and private provision of public goods," Grenoble Ecole de Management (Post-Print) hal-01293681, HAL.
    5. Erdal Aydin & Nils Kok & Dirk Brounen, 2017. "Energy efficiency and household behavior: the rebound effect in the residential sector," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 749-782, August.
    6. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    7. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    8. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    9. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    10. Irsag, Bojan & Pukšec, Tomislav & Duić, Neven, 2012. "Long term energy demand projection and potential for energy savings of Croatian tourism–catering trade sector," Energy, Elsevier, vol. 48(1), pages 398-405.
    11. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    12. Bulat Sanditov & Saurabh Arora, 2016. "Social network and private provision of public goods," Post-Print hal-01293681, HAL.
    13. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    14. Liddle, Brantley, 2009. "Electricity intensity convergence in IEA/OECD countries: Aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 37(4), pages 1470-1478, April.
    15. Cramer, James C. & Miller, Nancy & Craig, Paul & Hackett, Bruce M. & Dietz, Thomas M. & Vine, Edward L. & Levine, Mark D. & Kowalczyk, Dan J., 1985. "Social and engineering determinants and their equity implications in residential electricity use," Energy, Elsevier, vol. 10(12), pages 1283-1291.
    16. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    17. Bulat Sanditov & Saurabh Arora, 2016. "Social network and private provision of public goods," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 195-218, March.
    18. Noah J. Goldstein & Robert B. Cialdini & Vladas Griskevicius, 2008. "A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(3), pages 472-482, March.
    19. Volland, Benjamin, 2017. "The role of risk and trust attitudes in explaining residential energy demand: Evidence from the United Kingdom," Ecological Economics, Elsevier, vol. 132(C), pages 14-30.
    20. Marbuah, George & Gren, Ing-Marie, 2015. "Carbon emission and social capital in Sweden," Working Paper Series 2015:5, Swedish University of Agricultural Sciences, Department Economics.
    21. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    22. Fredriksson, Per G. & Vollebergh, Herman R. J. & Dijkgraaf, Elbert, 2004. "Corruption and energy efficiency in OECD countries: theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 207-231, March.
    23. Gouveia, João Pedro & Fortes, Patrícia & Seixas, Júlia, 2012. "Projections of energy services demand for residential buildings: Insights from a bottom-up methodology," Energy, Elsevier, vol. 47(1), pages 430-442.
    24. Georg, Susse, 1999. "The social shaping of household consumption," Ecological Economics, Elsevier, vol. 28(3), pages 455-466, March.
    25. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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    More about this item

    Keywords

    Electricity Intensity; Generalised Trust; Social Capital; Croatia;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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