IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v75y2018icp95-104.html
   My bibliography  Save this article

Value spillovers from the Korean DMZ areas and social desirability

Author

Listed:
  • Choi, Andy S.
  • Lee, Choong-Ki
  • Tanaka, Katsuya
  • Xu, Honggang

Abstract

This paper aims to examine the extent to which economic values for protection of internationally significant environmental and cultural resources are influenced by social desirability across geopolitical boundaries. Valuation results were examined using discrete choice models across three samples from Korea, China and Japan. The impact of social desirability on the protection value was tested as the relationship between willingness-to-pay estimates from the conventional "subjective" questioning approach (i.e., my preferences) and an alternative "projective" questioning approach (i.e., others' preferences). The results demonstrated significant spillover benefits and the extent to which value spillovers work is substantially influenced not only by types of resources and national backgrounds, but also by social desirability bias. Although the overall findings support significant global spillover effects, the potentially inflating impact of social desirability bias might mask their true gravity because the bias is likely to be stronger in the hosting communities than in the international counterparts. Weak global spillovers might be observed using the conventional subjective questioning even when they are substantial in reality. Accordingly, a stronger engagement of international communities in the conservation activities involving globally significant environmental and cultural heritage sites might be granted.

Suggested Citation

  • Choi, Andy S. & Lee, Choong-Ki & Tanaka, Katsuya & Xu, Honggang, 2018. "Value spillovers from the Korean DMZ areas and social desirability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 95-104.
  • Handle: RePEc:eee:soceco:v:75:y:2018:i:c:p:95-104
    DOI: 10.1016/j.socec.2018.04.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221480431830199X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2018.04.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Giovanni B. Concu, 2007. "Investigating distance effects on environmental values: a choice modelling approach ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 175-194, June.
    2. Bateman, Ian J. & Day, Brett H. & Georgiou, Stavros & Lake, Iain, 2006. "The aggregation of environmental benefit values: Welfare measures, distance decay and total WTP," Ecological Economics, Elsevier, vol. 60(2), pages 450-460, December.
    3. John Rolfe & Jill Windle, 2012. "Distance Decay Functions for Iconic Assets: Assessing National Values to Protect the Health of the Great Barrier Reef in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 347-365, November.
    4. Lee, Choong-Ki & W. Mjelde, James, 2007. "Valuation of ecotourism resources using a contingent valuation method: The case of the Korean DMZ," Ecological Economics, Elsevier, vol. 63(2-3), pages 511-520, August.
    5. Pate, Jennifer & Loomis, John, 1997. "The effect of distance on willingness to pay values: a case study of wetlands and salmon in California," Ecological Economics, Elsevier, vol. 20(3), pages 199-207, March.
    6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    7. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Jayson L. Lusk & F. Bailey Norwood, 2009. "An Inferred Valuation Method," Land Economics, University of Wisconsin Press, vol. 85(3), pages 500-514.
    10. G. Cornelis van Kooten & Robert A. Schipper, 2002. "Forest Conservation in Costa Rica when Nonuse Benefits are Uncertain but Rising," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 150-160.
    11. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    12. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    13. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    14. Lava Yadav & Thomas M. van Rensburg & Hugh Kelley, 2013. "A Comparison Between the Conventional Stated Preference Technique and an Inferred Valuation Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 405-422, June.
    15. John B. Loomis, 2000. "Vertically Summing Public Good Demand Curves: An Empirical Comparison of Economic versus Political Jurisdictions," Land Economics, University of Wisconsin Press, vol. 76(2), pages 312-321.
    16. Danny Campbell & W George Hutchinson & Riccardo Scarpa, 2009. "Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements," Environment and Planning A, , vol. 41(1), pages 97-111, January.
    17. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    18. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    19. Lusk, Jayson L. & Norwood, F. Bailey, 2009. "Bridging the gap between laboratory experiments and naturally occurring markets: An inferred valuation method," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 236-250, September.
    20. Giles Atkinson & Ian Bateman & Susana Mourato, 2012. "Recent advances in the valuation of ecosystem services and biodiversity," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(1), pages 22-47, Spring.
    21. V. Kerry Smith, 1993. "Nonmarket Valuation of Environmental Resources: An Interpretive Appraisal," Land Economics, University of Wisconsin Press, vol. 69(1), pages 1-26.
    22. Olynk, Nicole J. & Tonsor, Glynn T. & Wolf, Christopher A., 2010. "Consumer Willingness to Pay for Livestock Credence Attribute Claim Verification," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-20, August.
    23. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    24. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    25. Gregory L. Poe & Eric K. Severance-Lossin & Michael P. Welsh, 1994. "Measuring the Difference (X — Y) of Simulated Distributions: A Convolutions Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 904-915.
    26. Paul A. Samuelson, 1937. "A Note on Measurement of Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 4(2), pages 155-161.
    27. Ronald J. Sutherland & Richard G. Walsh, 1985. "Effect of Distance on the Preservation Value of Water Quality," Land Economics, University of Wisconsin Press, vol. 64(3), pages 281-291.
    28. Tait, Peter & Baskaran, Ramesh & Cullen, Ross & Bicknell, Kathryn, 2012. "Nonmarket valuation of water quality: Addressing spatially heterogeneous preferences using GIS and a random parameter logit model," Ecological Economics, Elsevier, vol. 75(C), pages 15-21.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joana Gonçalves & Ricardo Mateus & José Dinis Silvestre & Ana Pereira Roders, 2020. "Going beyond Good Intentions for the Sustainable Conservation of Built Heritage: A Systematic Literature Review," Sustainability, MDPI, vol. 12(22), pages 1-28, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    2. Holland, Benedict M. & Johnston, Robert J., 2017. "Optimized quantity-within-distance models of spatial welfare heterogeneity," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 110-129.
    3. Andy S. Choi & Kelly S. Fielding, 2016. "Cultural Attitudes as WTP Determinants: A Revised Cultural Worldview Scale," Sustainability, MDPI, vol. 8(6), pages 1-18, June.
    4. Jae Kim & Seung-Nam Kim & Soogwan Doh, 2015. "The distance decay of willingness to pay and the spatial distribution of benefits and costs for the ecological restoration of an urban branch stream in Ulsan, South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 835-853, May.
    5. Tomas Badura & Silvia Ferrini & Michael Burton & Amy Binner & Ian J. Bateman, 2020. "Using Individualised Choice Maps to Capture the Spatial Dimensions of Value Within Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 297-322, February.
    6. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
    7. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    8. Holland, Benedict M. & Johnston, Robert J., 2014. "Spatially-Referenced Choice Experiments: Tests of Individualized Geocoding in Stated Preference Questionnaires," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170191, Agricultural and Applied Economics Association.
    9. Robert Johnston & Mahesh Ramachandran, 2014. "Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 363-387, November.
    10. Bakhtiari, Fatemeh & Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark & Lundhede, Thomas Hedemark & Strange, Niels & Boman, Mattias, 2018. "Disentangling Distance and Country Effects on the Value of Conservation across National Borders," Ecological Economics, Elsevier, vol. 147(C), pages 11-20.
    11. Holland, Benedict M. & Johnston, Robert J., 2015. "Capturing More Relevant Measures of Spatial Heterogeneity in Stated Preference Willingness to Pay: Using an Iterative Grid Search Algorithm to Quantify Proximate Environmental Impacts," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205450, Agricultural and Applied Economics Association.
    12. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    13. Lopez-Becerra, E.I. & Alcon, F., 2021. "Social desirability bias in the environmental economic valuation: An inferred valuation approach," Ecological Economics, Elsevier, vol. 184(C).
    14. Robert J. Johnston & Elena Y. Besedin & Benedict M. Holland, 2019. "Modeling Distance Decay Within Valuation Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 657-690, March.
    15. Choi, Andy S. & Fielding, Kelly S., 2013. "Environmental attitudes as WTP predictors: A case study involving endangered species," Ecological Economics, Elsevier, vol. 89(C), pages 24-32.
    16. Svenningsen, Lea S. & Jacobsen, Jette Bredahl, 2018. "Testing the effect of changes in elicitation format, payment vehicle and bid range on the hypothetical bias for moral goods," Journal of choice modelling, Elsevier, vol. 29(C), pages 17-32.
    17. Giovanni B Concu, 2009. "Measuring Environmental Externality Spillovers through Choice Modelling," Environment and Planning A, , vol. 41(1), pages 199-212, January.
    18. Joffre Swait & Cristiano Franceschinis & Mara Thiene, 2020. "Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 243-270, February.
    19. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    20. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceco:v:75:y:2018:i:c:p:95-104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.