| 研究生: |
邱垠甄 Chiu, Yin-Chen |
|---|---|
| 論文名稱: |
利用行為推理理論探討臺灣國際旅客參與航空碳補償之意願 Using the behavioral reasoning theory to examine participation intention in a carbon-offset scheme among Taiwanese airline passengers |
| 指導教授: |
孫雅彥
Sun, Ya-Yen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2016 |
| 畢業學年度: | 104 |
| 語文別: | 中文 |
| 論文頁數: | 104 |
| 中文關鍵詞: | 航空碳排放 、碳補償計畫 、行為推理理論 、臺灣 |
| 外文關鍵詞: | Aviation carbon emission, Carbon-offset schemes, Behavioral reasoning theory, Taiwan |
| 相關次數: | 點閱:100 下載:17 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著國際旅遊需求增加,航空運輸之需求亦隨之增加,但同時卻大量排放溫室氣體對環境造成破壞。因此已有許多國家及航空公司積極提出相對應策略,例如國際運輸協會(International Air Transport Association, IATA)提出了四種溫室氣體(Greenhouse Gas, GHGs)減量措施,其中大多為生產者的角度思考如何降低航空運輸的碳排放,例如改良航空器燃油效率及航空公司增加營運效率。其中特別的一項政策為鼓勵消費者參與碳補償(carbon offset)計畫,也就是「旅客透過現金或是飛行常客里程數支付給航空公司或是第三方機構,這些航空公司或第三方機構再利用這些資金投資經過認證(如Gold Standard、Verified Carbon Standard)的碳補償方案,來進行如再生能源發展、植樹或是購置高能源效率設備之方案,以抵銷本次搭乘航空器所衍生的二氧化碳排放量」。
由於歐美與諸多先進國家的航空公司陸續推出了碳補償計畫,因此我們可以預見臺灣參與此一計畫的可能性。但目前臺灣旅客對於碳補償計畫相當陌生,且航空公司對於旅客參與此計畫的正負面影響因子尚未有充分了解,故本研究目的為以行為推理理論(behavioral reasoning theory, BRT)為基礎,找出影響臺灣旅客自願參與或是不參與航空碳補償意願之關鍵因素。
本研究考慮之變數包含個人價值觀、支持碳補償的原因、反對碳補償的原因、對碳補償此作法的態度與行為意向,以及受訪者之社會經濟特性(包含性別、年齡、教育程度、可支配所得、搭機頻率、旅遊目的、票價補貼,以及乘座艙等)。調查對象為搭乘國際線之臺灣旅客,並於高雄國際機場發放420份問卷。
結果顯示,支持碳補償的原因並不會直接影響參與碳補償的意向,但會透過態度去影響意向;而反對碳補償的原因會直接影響參與意向,也會透過態度去影響,但對參與意向的直接影響比間接影響大,即反對原因愈強烈,旅客參與航空碳補償之意向愈低。我們進一步依照受訪者在「反對碳補償的原因」這一構面的看法進行集群分析,將受訪者分為三群,一為較不認同反對因子的「正面型」,二為「中立型」,三為高度認同反對因子的「反對型」。確認「反對碳補償的原因」中的「航空碳補償責任歸屬」、「不瞭解航空碳補償」與「購買碳補償的便利性」是影響「正面型」與「中立型」的旅客參與航空碳補償之關鍵因素;「反對型」的旅客則是「航空碳補償責任歸屬」、「不信任航空公司/第三方機構」與「不瞭解航空碳補償」。故建議航空公司,在推出航空碳補償此一政策前應消除民眾反對的因素,以提升參與意願。
Air transport demand has boomed with the growth of international tourism; however, it also contributes to greenhouse gas emissions (GHGs). Therefore, governments and airlines need to step up their efforts to reduce GHGs, and the need for action is urgent. The International Transport Association (IATA) has proposed a four-pillar strategy to reduce carbon emissions, most of which is from the perspective of the producers, such as improving efficiencies in aircraft operation and infrastructure. The most innovative policy is a voluntary carbon-offset scheme, which means that passengers can pay in cash or frequent flyer miles through airlines or third parties to invest in carbon reduction projects (such as renewable energy and planting trees) to neutralize the carbon emissions caused by their air travel.
Several airlines in Europe and American countries have implemented carbon-offset schemes. We can foresee the possibility of Taiwan's participation in this program. However, Taiwanese passengers are unfamiliar with carbon-offset schemes. In addition, airlines do not fully understand the positive and negative factors related to passenger participation in these schemes. The purpose of this study is to use behavioral reasoning theory to examine participation intention and determining factors in a carbon-offset scheme among Taiwanese airline passengers.
This study considers variables including personal values, reasons for carbon-offset schemes, reasons against carbon-offset schemes, attitude towards carbon-offset schemes, participation intention in a carbon-offset scheme, and socio-economic characteristics (including gender, age, education, disposable income, frequency of flying, travel purpose, travel cost being subsidized, and seat class). We collected data from Taiwanese airline passengers at the Kaohsiung International Airport in 2016 and received a total of 420 samples.
The results indicated that the supporting factors for carbon-offset schemes do not directly affect participation intention, but indirectly affects attitude to influence participation intention. Reasons against carbon-offset schemes not only directly negatively affect participation intention but also influence participation via attitude. Nevertheless, the direct effect has a greater impact than the indirect effect; that is, the stronger the reasons against, the lower the participation intention. We further used cluster analysis to segment samples with regard to their responses on “reasons against” carbon offsetting. Respondents were divided into three groups: “positive,” “neutral” and “negative,” depending on how strong they feel about the 7 questions that are listed as resistance factors. We confirmed that “responsibility for carbon offset”, “knowledge of carbon offsets” and “purchase convenience” are the key resistance factors among “positive” and “neutral” passengers. Among “negative” passengers, “responsibility for carbon offset”, “mistrust of airlines or third parties,” and “knowledge of carbon offsets” are the main concerns for carbon offsetting. Consequently, we suggest that airlines should remove negative factors to enhance participation intention.
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