지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 1,136 - 1,146 (11page)
- DOI
- 10.13000/JFMSE.2024.12.36.6.1136
이용수
초록· 키워드
오류제보하기
This study examines the dynamic causal relationships among fisheries revenue (FR), greenhouse gas (GHG) emissions, and vessel horsepower (HP) in the South Korean offshore fisheries sector. Utilizing panel vector autoregression (PVAR) analysis on data collected from 16 different fishing gears from 2003 to 2020, this research confirms the absence of panel unit roots and employs a PVAR(1) model, structuring the variables in the sequence of D.lnHP, D.lnGHG, and D.lnFR. The impulse response analysis results from the PVAR(1) model revealed that a 1% increase in HP tends to reduce the growth rate of GHG emissions over four years. To sustain these results, adopting energy-efficient and advanced technology vessels, such as electric-hybrid or LPG-powered, is crucial. Conversely, a 1% increase in GHG emissions slightly raises the growth rate of FR over three years. Improving these analysis results requires augmenting FR by transitioning to a total allowable catch-based policy and restoring fisheries resources.
목차
Abstract
Ⅰ. 서론
Ⅱ. 연구 방법
Ⅲ. 연구 결과
Ⅳ. 결론
Reference
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