Sustainable Futures最新文献

英文中文

Towards sustainable e-mobility adoption: a technology acceptance model for the global automotive emerging market in Indonesia 迈向可持续电动汽车采用：印尼全球汽车新兴市场的技术接受模式

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101624

Teddy Trilaksono, Eliot Simangunsong, Franky Supriyadi

E-mobility is disrupting the global automotive landscape, creating new opportunities and reshaping supply chains. In Indonesia, this shift challenges Japan’s long-standing market dominance, as Chinese, South Korean, and local firms gain traction. Shifting consumer purchasing preferences remains a significant hurdle, as deeply rooted preferences for the status quo persist. This transitional phase toward e-mobility in Indonesia is further complicated by challenges such as high upfront costs, underdeveloped charging infrastructure, and low levels of consumer awareness. A suitable and sustainable e-mobility model is critically needed to ensure long-term impact and successful adoption. This study uses a qualitative approach using in-depth interviews with 20 key informants. Using an adapted Technology Acceptance Model (TAM) framework, the research explores user preferences, adoption barriers, strategic responses by EV firms, and government incentives. As Southeast Asia’s largest automotive market, Indonesia provides a critical context for examining e-mobility adoption in emerging economies. Findings indicate that technological interest is a stronger driver of EV adoption than traditional factors such as brand prestige, resale value, or influencer marketing. These insights extend TAM’s applicability to disruptive technologies in emerging markets and contribute to the development of more effective adoption strategies for e-mobility.

电动汽车正在颠覆全球汽车格局，创造新的机遇，重塑供应链。在印尼，随着中国、韩国和当地公司的发展，这种转变挑战了日本长期以来的市场主导地位。消费者购买偏好的转变仍然是一个重大障碍，因为对现状的根深蒂固的偏好仍然存在。由于前期成本高、充电基础设施不发达、消费者意识不高等挑战，印尼向电动汽车的过渡阶段变得更加复杂。我们迫切需要一种合适且可持续的电动交通模式，以确保其长期影响和成功采用。本研究采用定性方法，对20名关键线人进行深入访谈。本研究采用技术接受模型（TAM）框架，探讨了用户偏好、采用障碍、电动汽车公司的战略反应和政府激励措施。作为东南亚最大的汽车市场，印尼为研究新兴经济体采用电动汽车提供了一个关键的环境。研究结果表明，与品牌声誉、转售价值或网红营销等传统因素相比，技术兴趣是推动电动汽车采用的更大因素。这些见解扩展了TAM对新兴市场颠覆性技术的适用性，并有助于制定更有效的电动汽车采用策略。

{"title":"Towards sustainable e-mobility adoption: a technology acceptance model for the global automotive emerging market in Indonesia","authors":"Teddy Trilaksono, Eliot Simangunsong, Franky Supriyadi","doi":"10.1016/j.sftr.2025.101624","DOIUrl":"10.1016/j.sftr.2025.101624","url":null,"abstract":"<div><div>E-mobility is disrupting the global automotive landscape, creating new opportunities and reshaping supply chains. In Indonesia, this shift challenges Japan’s long-standing market dominance, as Chinese, South Korean, and local firms gain traction. Shifting consumer purchasing preferences remains a significant hurdle, as deeply rooted preferences for the status quo persist. This transitional phase toward e-mobility in Indonesia is further complicated by challenges such as high upfront costs, underdeveloped charging infrastructure, and low levels of consumer awareness. A suitable and sustainable e-mobility model is critically needed to ensure long-term impact and successful adoption. This study uses a qualitative approach using in-depth interviews with 20 key informants. Using an adapted Technology Acceptance Model (TAM) framework, the research explores user preferences, adoption barriers, strategic responses by EV firms, and government incentives. As Southeast Asia’s largest automotive market, Indonesia provides a critical context for examining e-mobility adoption in emerging economies. Findings indicate that technological interest is a stronger driver of EV adoption than traditional factors such as brand prestige, resale value, or influencer marketing. These insights extend TAM’s applicability to disruptive technologies in emerging markets and contribute to the development of more effective adoption strategies for e-mobility.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101624"},"PeriodicalIF":4.9,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of carbon mitigation policies on business development: from a dynamic simulation aspect in China 碳减排政策对企业发展的影响：基于中国动态模拟的视角

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-05 DOI: 10.1016/j.sftr.2026.101642

Qiang Liu, Jiarong Zhou, Shengxia Xu

Climate change presents substantial social and economic challenges, necessitating that nations worldwide create ways to mitigate carbon emissions. As a principal emitter, China must adopt stringent carbon-reduction measures to align environmental sustainability with economic development. Evaluating the efficacy of these rules from the standpoint of micro-level enterprise operations aids in ascertaining the practical utility of the policies. This research utilizes an evolutionary game model and system dynamics to evaluate the effects of China’s carbon emission reduction plans on operational variables, including company revenue and innovation activities. The study assesses the impact of these measures on the green transformation of firms. Mandatory measures elevate the operational expenses of high-carbon firms, potentially hindering their shift to more sustainable practices. While incentive-based policies can alleviate the burden of their green transformation. Consequently, a combination of mandatory measures and incentive policies is essential for facilitating the transition of energy-intensive businesses to low-carbon operations. Furthermore, these policies can foster a market environment that facilitates the green transformation of firms by modifying the preferences of market participants, particularly aiding energy-intensive industries in diminishing their carbon emission intensity. This study highlights that policy simulation can assist policymakers in harmonizing incentive and mandatory policies to create a policy mix that promotes R&D investment while decoupling carbon reduction from company profitability.

气候变化带来了巨大的社会和经济挑战，世界各国必须想方设法减少碳排放。作为主要排放国，中国必须采取严格的碳减排措施，使环境可持续性与经济发展保持一致。从微观企业经营的角度评价这些规则的有效性，有助于确定这些政策的实际效用。本研究运用演化博弈模型和系统动力学来评估中国碳减排计划对企业收入和创新活动等经营变量的影响。本研究评估了这些措施对企业绿色转型的影响。强制性措施提高了高碳企业的运营费用，可能会阻碍它们向更可持续的做法转变。而激励型政策可以减轻其绿色转型的负担。因此，强制性措施和激励政策相结合对于促进能源密集型企业向低碳经营转型至关重要。此外，这些政策可以通过改变市场参与者的偏好来营造有利于企业绿色转型的市场环境，特别是帮助能源密集型产业降低其碳排放强度。本研究强调，政策模拟可以帮助决策者协调激励政策和强制性政策，创造促进研发投资的政策组合，同时将碳减排与公司盈利能力脱钩。

{"title":"The impact of carbon mitigation policies on business development: from a dynamic simulation aspect in China","authors":"Qiang Liu, Jiarong Zhou, Shengxia Xu","doi":"10.1016/j.sftr.2026.101642","DOIUrl":"10.1016/j.sftr.2026.101642","url":null,"abstract":"<div><div>Climate change presents substantial social and economic challenges, necessitating that nations worldwide create ways to mitigate carbon emissions. As a principal emitter, China must adopt stringent carbon-reduction measures to align environmental sustainability with economic development. Evaluating the efficacy of these rules from the standpoint of micro-level enterprise operations aids in ascertaining the practical utility of the policies. This research utilizes an evolutionary game model and system dynamics to evaluate the effects of China’s carbon emission reduction plans on operational variables, including company revenue and innovation activities. The study assesses the impact of these measures on the green transformation of firms. Mandatory measures elevate the operational expenses of high-carbon firms, potentially hindering their shift to more sustainable practices. While incentive-based policies can alleviate the burden of their green transformation. Consequently, a combination of mandatory measures and incentive policies is essential for facilitating the transition of energy-intensive businesses to low-carbon operations. Furthermore, these policies can foster a market environment that facilitates the green transformation of firms by modifying the preferences of market participants, particularly aiding energy-intensive industries in diminishing their carbon emission intensity. This study highlights that policy simulation can assist policymakers in harmonizing incentive and mandatory policies to create a policy mix that promotes R&D investment while decoupling carbon reduction from company profitability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101642"},"PeriodicalIF":4.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global ESG sentiment, policy commitments, and sustainability uncertainty: A cross-country analysis 全球ESG情绪、政策承诺和可持续性不确定性：一项跨国分析

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-05 DOI: 10.1016/j.sftr.2025.101636

Nargis Sultana

This study examines the temporal patterns, cross-country heterogeneity, and global spillovers of ESG-related uncertainty, with direct implications for achieving multiple Sustainable Development Goals (SDGs), particularly SDG 13 (Climate Action), SDG 12 (Responsible Consumption and Production), and SDG 17 (Partnerships for the Goals). Using a monthly panel dataset of 25 countries from 2002 to 2025 and the newly developed Sustainability Uncertainty Index (ESGUI), we apply fixed effects regression, ANOVA, and a Difference-in-Differences framework to analyze how global ESG sentiment and international policy commitments influence national sustainability risk. The results reveal structural breaks during the 2008 global financial crisis and the post-pandemic period, alongside recurring seasonal peaks in August and December. We find that global ESG sentiment significantly drives national ESGUI scores, with spillover effects particularly pronounced in Asia, and that the 2016 Paris Agreement amplified uncertainty more in countries with stronger institutional frameworks. By highlighting how transnational sustainability narratives and institutional capacity shape ESG-related uncertainty, this study provides actionable guidance for policymakers, regulators, and corporate leaders to design context-sensitive strategies that enhance policy coherence, reduce sustainability-related risk, and accelerate progress toward the SDGs in an interconnected global economy.

本研究考察了与esg相关的不确定性的时间模式、跨国异质性和全球溢出效应，对实现多个可持续发展目标（SDG），特别是可持续发展目标13（气候行动）、可持续发展目标12（负责任的消费和生产）和可持续发展目标17（目标伙伴关系）的直接影响。利用2002年至2025年25个国家的月度面板数据集和新开发的可持续性不确定性指数（ESGUI），我们应用固定效应回归、方差分析和差异中的差异框架来分析全球ESG情绪和国际政策承诺如何影响国家可持续性风险。结果显示，2008年全球金融危机期间和大流行后时期出现了结构性断裂，8月和12月也出现了季节性高峰。我们发现，全球ESG情绪显著推动了各国ESGUI得分，其溢出效应在亚洲尤为明显，2016年《巴黎协定》在制度框架较强的国家进一步放大了不确定性。通过强调跨国可持续发展叙事和机构能力如何塑造esg相关的不确定性，本研究为政策制定者、监管机构和企业领导者提供了可操作的指导，以设计情境敏感的战略，增强政策一致性，降低与可持续发展相关的风险，并在相互关联的全球经济中加速实现可持续发展目标的进程。

{"title":"Global ESG sentiment, policy commitments, and sustainability uncertainty: A cross-country analysis","authors":"Nargis Sultana","doi":"10.1016/j.sftr.2025.101636","DOIUrl":"10.1016/j.sftr.2025.101636","url":null,"abstract":"<div><div>This study examines the temporal patterns, cross-country heterogeneity, and global spillovers of ESG-related uncertainty, with direct implications for achieving multiple Sustainable Development Goals (SDGs), particularly SDG 13 (Climate Action), SDG 12 (Responsible Consumption and Production), and SDG 17 (Partnerships for the Goals). Using a monthly panel dataset of 25 countries from 2002 to 2025 and the newly developed Sustainability Uncertainty Index (ESGUI), we apply fixed effects regression, ANOVA, and a Difference-in-Differences framework to analyze how global ESG sentiment and international policy commitments influence national sustainability risk. The results reveal structural breaks during the 2008 global financial crisis and the post-pandemic period, alongside recurring seasonal peaks in August and December. We find that global ESG sentiment significantly drives national ESGUI scores, with spillover effects particularly pronounced in Asia, and that the 2016 Paris Agreement amplified uncertainty more in countries with stronger institutional frameworks. By highlighting how transnational sustainability narratives and institutional capacity shape ESG-related uncertainty, this study provides actionable guidance for policymakers, regulators, and corporate leaders to design context-sensitive strategies that enhance policy coherence, reduce sustainability-related risk, and accelerate progress toward the SDGs in an interconnected global economy.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101636"},"PeriodicalIF":4.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-01

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Sustainable Futures

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀