Policy Incentive Mechanisms for Low‐Carbon Pathway Selection in Forest Tourism Destinations
森林観光地における低炭素経路選択のための政策インセンティブメカニズム (AI 翻訳)
Jingwen Wang, Dan He, K Chen, Y Wang, Yan Long
🤖 gxceed AI 要約
日本語
森林観光地の低炭素化経路選択における政策インセンティブメカニズムを分析。2017-2022年の遼寧省16か所のデータを用い、3つの低炭素化経路のコストを推定。その結果、現場での技術的緩和策(1347.6元/トン)、森林ベースの炭素隔離プロジェクト(970.9元/トン)、自主炭素市場でのCCER購入(35.1元/トン)とコストに大きな差があることを明らかにした。補助金によって選好が変化し、環境的共便益の高い選択肢へシフトできることを示した。
English
This study analyzes policy incentive mechanisms for low-carbon pathway selection in forest tourism destinations. Using data from 16 destinations in Liaoning Province from 2017 to 2022, it estimates costs of three low-carbon pathways: on-site mitigation (1347.6 CNY/ton), forestry carbon sequestration (970.9 CNY/ton), and CCER purchases (35.1 CNY/ton). The simulation shows that subsidies can shift preferences toward mitigation and sequestration with greater co-benefits, while a carbon tax has limited impact. The findings inform cost-sensitive policy design for substantive low-carbon development.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国の森林観光地を対象とした低炭素化経路のコスト比較と補助金設計の研究。日本でも観光地のカーボンニュートラル化や森林吸収源クレジット(J-クレジット)の活用が進んでおり、コスト感応的なインセンティブ設計は日本のGX政策にも示唆を与える。
In the global GX context
This study provides a cost-sensitive analysis of low-carbon pathways in forest tourism, relevant to global efforts to decarbonize the tourism sector. The findings on subsidy design to shift preferences toward mitigation and sequestration over offset purchases offer insights for carbon pricing and incentive mechanisms in other jurisdictions.
👥 読者別の含意
🔬研究者:This paper offers a rigorous cost comparison of low-carbon pathways and subsidy simulations that can inform further research on tourism decarbonization and carbon accounting.
🏢実務担当者:Corporate sustainability teams in tourism can use the cost benchmarks to prioritize on-site mitigation or carbon sequestration projects over offset purchases.
🏛政策担当者:Policymakers designing carbon pricing and subsidy schemes for the tourism sector can draw on the differentiated subsidy thresholds identified to promote environmentally beneficial options.
📄 Abstract(原文)
ABSTRACT Forest tourism destinations face high costs in pursuing low‐carbon development and lack sufficient internal motivation, highlighting the need for external policy incentives. Based on data from 16 forest tourism destinations in Liaoning Province from 2017 to 2022, this study estimates the costs of three low‐carbon pathways and simulates the decision‐making mechanism under differentiated subsidy scenarios. The results reveal notable disparities in unit costs: implementing on‐site technological mitigation measures (1347.6 CNY/ton), developing forestry‐based carbon sequestration projects (970.9 CNY/ton), and purchasing Chinese Certified Emission Reductions (CCERs) through the voluntary carbon market (35.1 CNY/ton). The simulation of a carbon tax on destination carbon emissions shows that such a disturbance factor has a limited impact on the marginal abatement costs of the destinations. Relying solely on carbon markets results in a strong preference for low‐cost CCERs purchases, while targeted subsidies can effectively shift preferences toward mitigation and sequestration options with greater environmental co‐benefits. Specifically, a mitigation‐only subsidy exceeding 1295 CNY/ton increases the share of destinations choosing mitigation from 43.75% to 52.08%; a sequestration‐only subsidy of 935 CNY/ton leads 54.17% to opt for carbon sequestration. When combined subsidies surpass 788 CNY/ton, 12.5% of destinations select mitigation and 75% select sequestration. At 885 CNY/ton, all destinations abandon CCERs purchases. These findings offer policy‐relevant insights into designing effective, cost‐sensitive incentives that promote substantive low‐carbon developments in the forest tourism destinations.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71157first seen 2026-05-17 05:36:38
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。