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International Journal of Sustainable Development最新文献

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Contextualising harm in the framework of research misconduct. Findings from discourse analysis of scientific publications 研究不端行为框架下的情境化危害。科学出版物语篇分析的结果
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.10037655
Eirini Sifaki, V. Petousi
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引用次数: 64
Progress in implementation of sustainable development in V4 countries 在V4国家实施可持续发展的进展情况
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.10037659
Anna Čepelová, Milan Douša
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引用次数: 1
Weedy rice and the sustainability of alternative establishment methods 杂草水稻的可持续性和替代性建立方法
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/ijsd.2020.10034393
Serge Svizzero
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引用次数: 3
Financing for Sub-Saharan African sustainable development: from billions to trillions to action 撒哈拉以南非洲可持续发展融资:从数十亿到数万亿到行动
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.10037664
S. Orekoya, Peter Oluleke
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引用次数: 0
A fuzzy approach to measure the responsibility level for tourist companies 旅游企业责任水平的模糊测度方法
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.10037661
P. Alarcón, J. Galindo
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引用次数: 0
The societal costs of research misconduct: some method considerations from the DEFORM Project 研究不端行为的社会成本:来自DEFORM项目的一些方法考虑
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.10037656
Catherine Kuszla, C. Combe, S. Faucheux
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引用次数: 0
Towards a better measurement of the social sustainability of Irish agriculture 为了更好地衡量爱尔兰农业的社会可持续性
Q2 Social Sciences Pub Date : 2020-01-01 DOI: 10.1504/IJSD.2020.115229
M. Brennan, T. Hennessy, E. Dillon
There exists a need to analyse and develop the social aspects of agricultural sustainability. Distinct gaps between agricultural policy priorities and the data infrastructure needed to develop metrics for policy evaluation at farm level exist, particularly regarding the social dimension of sustainability. This paper aims to examine the current social sustainability frameworks in operation across Europe and beyond, with a view towards expansion using Irish Farm Accountancy Data Network (FADN) data from the Teagasc National Farm Survey. A stakeholder consultation process, featuring policymakers, farm data recorders, academic researchers amongst others, highlighted pertinent concerns regarding the social sustainability of agriculture. Issues such as farmer stress, work/life balance, generational renewal and the viability of rural areas featured as priority concerns. Issues such as these have been identified as key areas of concern within the new common agricultural policy which supports the continued development of specific indicators of social sustainability.
有必要分析和发展农业可持续性的社会方面。农业政策优先事项与制定农场一级政策评估指标所需的数据基础设施之间存在明显差距,特别是在可持续性的社会层面。本文旨在研究当前在欧洲及其他地区运作的社会可持续性框架,并利用爱尔兰农场会计数据网络(FADN)来自Teagasc国家农场调查的数据进行扩展。由政策制定者、农场数据记录者、学术研究人员等参与的利益相关者咨询过程,突出了对农业社会可持续性的相关关切。农民的压力、工作/生活的平衡、代际更新和农村地区的生存能力等问题是重点关注的问题。诸如此类的问题已被确定为新的共同农业政策范围内的关键关切领域,该政策支持继续制定社会可持续性的具体指标。
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引用次数: 3
Comparisons of inverse modelling approaches for predicting energy consumption, economic growth and CO2 emissions: a case study for low-income countries 预测能源消耗、经济增长和二氧化碳排放的逆向建模方法的比较:低收入国家的案例研究
Q2 Social Sciences Pub Date : 2019-07-10 DOI: 10.1504/IJSD.2019.10022569
S. Chaabouni
This study examines the causal relationships between CO2 emissions, energy consumption and economic growth in low-income countries for the period 1995-2013. The artificial neural network (ANN) model is applied to predict three variables during 2014-2025. Our empirical results show that there is bidirectional causality between economic growth and CO2 emissions, as well as energy consumption and economic growth, and there is unidirectional causal relationship running from energy consumption to CO2 emissions. In order to reduce emissions and to avoid a negative effect on the economic growth, low-income countries should adopt the dual strategy of increasing investment in energy infrastructure and stepping up energy conservation policies to increase energy efficiency and reduce wastage of energy. Comparison with dynamic simultaneous-equation model shows that the ANN model performs better for predictions.
本研究考察了1995-2013年期间低收入国家二氧化碳排放、能源消耗和经济增长之间的因果关系。将人工神经网络模型应用于2014-2025年三个变量的预测。实证结果表明,经济增长与二氧化碳排放、能源消耗与经济增长之间存在双向因果关系,能源消耗与二氧化碳排放之间存在单向因果关系。为了减少排放,避免对经济增长产生负面影响,低收入国家应采取增加能源基础设施投资和加强节能政策的双重战略,以提高能源效率,减少能源浪费。与动态联立方程模型的比较表明,神经网络模型具有较好的预测性能。
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引用次数: 1
Knowledge and understanding of sustainability labels in Brazil 了解和理解巴西的可持续性标签
Q2 Social Sciences Pub Date : 2019-07-10 DOI: 10.1504/IJSD.2019.10022562
K. Hamza, Denise de Abreu Sofiatti Dalmarco, Andres Rodriguez Veloso
The introduction of sustainability labels on packaging demands large efforts from companies that expect economic or moral rewards when labelling their products. However, consumers still struggle to incorporate sustainability labels into purchasing decisions. Therefore, we focus on investigating the relationship between sustainable behaviour and the level of knowledge and understanding consumers have about different types of labels and claims. We visited 408 households in different Brazilian regions. Participants were able to manually inspect four products and point out the sustainability labels they found on packaging and their meanings. Factor analysis followed by a two-stage cluster analysis identified the existence of three clusters. Consumers have little knowledge and understanding of labels, but more sustainable consumers have a higher level of knowledge and understanding. Their main mistakes were the misunderstanding of labels' meaning and confusion between claims and sustainability labels. Implications for policymakers and companies are presented.
在包装上引入可持续发展标签需要那些在给产品贴标签时期望获得经济或道德回报的公司做出巨大努力。然而,消费者仍然难以将可持续发展标签纳入购买决策。因此,我们专注于调查可持续行为与消费者对不同类型标签和声明的知识和理解水平之间的关系。我们走访了巴西不同地区的408户家庭。参与者能够手动检查四种产品,并指出他们在包装上发现的可持续性标签及其含义。因子分析和两阶段聚类分析确定了三个聚类的存在。消费者对标签的了解和理解很少,但更可持续的消费者拥有更高水平的知识和理解。他们的主要错误是误解了标签的含义,混淆了索赔和可持续发展标签。介绍了对政策制定者和公司的影响。
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引用次数: 0
Quality in technoscience within the crisis of knowledge societies Some cases, critical aspects of 'research misconduct' category and a focus on 'knowledge' as commons 在知识社会危机中的技术科学质量在某些情况下,“研究不端行为”类别的关键方面以及对“知识”作为公地的关注
Q2 Social Sciences Pub Date : 2019-01-01 DOI: 10.1504/ijsd.2019.10027065
Gemma Maltese
In this contribution, I focus on two cases of high social impact within the Italian and European context and for the whole 'scientific community'. The first case regards the diffusion of the public controversy regarding the Xylella bacteria affecting olive trees in South Italy (Salento, Puglia). The second relates the work of the National Great Risks Commission (GRC), under the National Service of the Italian Civil Protection, before, during and after the earthquake at L'Aquila, in 2009, and the reasons of the judicial dispute at L'Aquila Court, in which this technoscientific committee has been involved, and of the conviction against several expert members of these organisms. Exploring these cases can make visible the complexity and critical aspects of pursuing an approach of definition-categorisation of 'research misconduct' and the involvement of local communities within the dynamics of technoscientific knowledge reproduction and assessment.
在这篇文章中,我将重点关注意大利和欧洲背景下以及整个“科学界”具有高度社会影响的两个案例。第一个案例涉及公众对影响南意大利(萨伦托,普利亚)橄榄树的木杆菌细菌的争议的扩散。第二部分涉及2009年拉奎拉地震之前、期间和之后,意大利国家民防服务下属的国家重大风险委员会(GRC)的工作,以及拉奎拉法院司法纠纷的原因,该技术科学委员会已参与其中,以及对这些机构的几名专家成员的定罪。探索这些案例可以让我们看到对“研究不端行为”进行定义分类的方法的复杂性和关键方面,以及在技术科学知识复制和评估的动态中当地社区的参与。
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引用次数: 0
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International Journal of Sustainable Development
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