Crossing the great divide - using multi-method analysis to understand opposition to windfarms (Record no. 70616)

000 -LEADER
fixed length control field 01377pab a2200157 454500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180718b2006 xxu||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Haggett, Claire
245 ## - TITLE STATEMENT
Title Crossing the great divide - using multi-method analysis to understand opposition to windfarms
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2006
300 ## - PHYSICAL DESCRIPTION
Extent p.103-20.
520 ## - SUMMARY, ETC.
Summary, etc. This paper demonstrates the possibilities for the complementary use of regression analysis and discourse analysis to further understand issues in public administration. To do so, an empirical study of opposition to wind energy planning applications is used. The application of logistical regression to analyse the factors which may influence windfarm planning applications is discussed, factors including the attitudes of local people. Discourse analytical techniques are then used to consider how anti-windfarm campaigners manage accusations of `Not In My Back Yard' (NIMBYism). This is done partly by linking their cause with wider environmental objectives. Although discourses and logistical regression models have very different ontologies, the paper demonstrates that there is no inevitable conflict between the epistemologies used in these two different methods, despite differences in the type of data being analysed. - Reproduced.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Public administration
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Toke, David
773 ## - HOST ITEM ENTRY
Main entry heading Public Administration
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-- 70616
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Serial Enumeration / chronology Barcode Date last seen Price effective from Koha item type
        Indian Institute of Public Administration Indian Institute of Public Administration 2018-07-19 Volume no: 84, Issue no: 1 AR71076 2018-07-19 2018-07-19 Articles

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