Does Values-Based Interpretation Make a Difference? Testing Impacts on Visitors' Environmental Learning and Reported Adoption of Environmentally Responsible Behaviors

被引：9

作者：

Ballantyne, Roy ^{[1
,3
]}

Hughes, Karen ^{[1
]}

Packer, Jan ^{[1
]}

Lee, Julie ^{[2
]}

机构：

[1] Univ Queensland, Brisbane, Qld, Australia

[2] Univ Western Australia, Perth, WA, Australia

[3] Univ Queensland, Brisbane, Qld 4072, Australia

来源：

VISITOR STUDIES | 2023年 / 26卷 / 02期

基金：

澳大利亚研究理事会;

关键词：

Environmental behavior; environmental learning; interpretation; values; wildlife tourism; zoo visitors; ACTION RESOURCES; ZOO; WILDLIFE; ECOTOURISM; ATTITUDES; OUTCOMES; CHOICE;

D O I：

10.1080/10645578.2023.2218791

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This experimental field study tests the impact of values-based interpretive materials on zoo/aquarium visitors' engagement, learning and self-reported adoption of environmentally responsible behaviors after their visit. Participants were randomly assigned to a control group (who experienced a normal visit) or a treatment group (who received additional values-based interpretive materials). A total of 719 participants in North America and 455 in Australia completed two surveys - one immediately after their visit and one four weeks later. Three hypotheses were supported by the data: Providing values-based interpretive materials influences visitors' engagement during their visit; improves visitor learning; and increases visitors' adoption of environmentally responsible behaviors. A fourth hypothesis was partially supported: Providing values-based interpretive materials is most beneficial for those who prioritize values other than self-transcendence. It is concluded that values-based interpretation can broaden the reach of zoos beyond traditional audiences and widen their impact on visitor uptake of environmental behavior.

引用

页码：181 / 201

页数：21

共 51 条

[11] Visitors' learning for environmental sustainability: Testing short- and long-term impacts of wildlife tourism experiences using structural equation modelling [J].