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Pesticide Law and Compliance Decision Making pp 175–196Cite as

The Many Roads to Compliance: Explaining the Complexity of Patterns Contributing to Pesticide Compliance

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Abstract

So far, all the variables defined and designated in the compliance model have been examined in isolation, and this has provided some good insights into the data. However, it does not allow for a better understanding of the complex interactions and combinations of motivations that may explain compliance.

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Notes

  1. 1.

    For these readers who may be unfamiliar with QCA, it may be helpful to read an online instructive explanation: http://www.u.arizona.edu/~cragin/fsQCA/index.shtml. Also there are abundant numbers of QCA studies that can be found online.

  2. 2.

    For more detailed information concerning the eleven dimensions, see the IEEC of the Dutch Ministry of Justice (2004).

  3. 3.

    For more detailed information concerning the “Compliance Estimate” and the eight ideal types, see the IEEC of the Dutch Ministry of Justice (2004).

  4. 4.

    A conventional/crisp set is dichotomous, with a variable either in or out of a set. Thus, comparably it can be coded in a binary way, e.g., with 1 indicating “in”, and 0 indicating “out”. For data collected and coded by multiple categories, e.g., in the interval between 0 and 1, fuzzy-set QCA (fsQCA) can be used (see Ragin, 2000; 2008b).

  5. 5.

    This chapter employs the fs/QCA 2.0 software developed by Charles C. Ragin, Kriss A. Drass and Sean Davey. The software can be downloaded from the website:

  6. 6.

    Here the frequency threshold is selected based on the number of cases shown in the number column, and it should be 1 or 2 when the total number of cases is relatively small (Ragin 2008a: 46).

  7. 7.

    Note that defining always necessary conditions should be further justified by analyzing consistency and coverage of the necessary conditions (see Schneider and Wagemann 2012, Chaps. 5 and 9).

  8. 8.

    Except for pesticide container disposal, for which the operational cost-benefit calculation was not analyzed.

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  1. School of Public Administration, Central South University, Changsha, Hunan, China

    Huiqi Yan

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Yan, H. (2017). The Many Roads to Compliance: Explaining the Complexity of Patterns Contributing to Pesticide Compliance. In: Pesticide Law and Compliance Decision Making. Springer, Singapore. https://doi.org/10.1007/978-981-10-3917-1_6

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  • DOI: https://doi.org/10.1007/978-981-10-3917-1_6

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