A pipeline of tweets: environmental movements’ use of Twitter in response to the Keystone XL pipeline

Social movements often amalgamate otherwise diffuse public political interests. In recent years, social media use has allowed both groups and individuals to engage with political issues both online and offline. How do organizations use Twitter to mobilize networked publics? To what extent do groups promote both ‘connective action’ online and traditional activism offline? How do their strategies differ according to whether they seek to promote or combat the status quo? And how do they balance encouraging and reinforcing individualized expression through group messaging? The ways pro-Keystone XL pipeline and anti-Keystone XL groups differed in their Keystone-related action on Twitter from January 2010 until October 2014 are analyzed. Boolean searching and Natural Language processing are used to analyze more than three million tweets. The results demonstrate that the frames within Twitter conversations have significant implications for how communities understand, develop, and mobilize around environmental issues.     

Welfare states and environmental states: a comparative analysis

A framework is presented for thinking about state intervention in developed capitalist economies in two domains: social policy and environmental policy (and, within that, climate-change policy). Five drivers of welfare state development are identified, the ‘five Is’ of Industrialisation: Interests, Institutions, Ideas/Ideologies, and International Influences. Research applying this framework to the postwar development of welfare states in the OECD is summarised, distinguishing two periods: up to 1980, and from 1980 to 2008. How far this framework can contribute to understanding the rise and differential patterns of environmental governance and intervention across advanced capitalist states since 1970 is explored, before briefly comparing and contrasting the determinants of welfare states and environmental states, identifying common drivers in both domains and regime-specific drivers in each. The same framework is then applied to developments since 2008 and into the near future, sketching two potential configurations and speculating on the conditions for closer, more integrated ‘eco-welfare states’.     

中国工业CO_2排放的行业间传导网络及协同减排

工业是碳排放的主要部门,科学识别工业CO_2排放的行业间传导并揭示其联动结构对于跨行业协同减排具有重要的理论和现实意义。本文基于1991-2012年中国工业36个两位数行业数据,在VAR模型框架下,利用Granger因果检验方法对CO_2排放的行业间传导关系进行了识别,并从关系视角出发,借助社会网络分析方法(SNA)揭示工业CO_2排放行业间传导的整体和个体网络结构特征,研究发现:工业CO_2排放的行业间传导呈网络结构形态,网络密度在1-6期的滞后阶数下呈先升高后下降的趋势,并且在滞后2期达到最高;燃气生产和供应业、电力热力生产和供应业、服装业、造纸及纸制品业、木材加工业具有较高的度数中心度、中介中心度、接近中心度,在网络中处于核心位置,并发挥中介和桥梁作用;在CO_2排放的行业传导网络中,煤炭采选业、黑色金属矿采选业、有色金属矿采选业等10个行业属于经纪人板块,医药制造业、饮料制造业、化学纤维制造业等9个行业属于净受益板块,金属制品业、塑料制品业、农副食品加工业等11个行业属于双向溢出板块,烟草加工业、石油加工及炼焦业、燃气生产和供应业等6个行业属于净溢出板块。基于上述结论,本文提出了工业CO_2排放的跨行业协同减排思路。     

上海港对间接腹地经济的作用研究——基于资本路径和物流路径

资本流和物流作为海港对间接腹地经济作用的载体,可以根据其作用路径进行详细分析。通过尝试性地建立面板数据模型,分析海港资本作用枢纽—物流园区、支线港和无水港对间接腹地经济的影响,结合海港对作用枢纽的影响力算法,研究得出上海港通过资本路径对间接腹地生产总值的产出弹性为0.058 6。通过物流路径的系统动力学分析对SD流图进行描述,结合Eviews软件设定各要素的数学方程,选择上海港进行仿真分析,并用历史数据对模型进行检验,误差在可接受的范围之内。进一步对系统进行短期预测,结合预测的结果发现货物运输对间接腹地经济作用的弹性约为0.7。最后分别对上海港主要的吞吐货种进行系统仿真,发现集装箱和石油、天然气及制品的物流运输对间接腹地经济影响最大。     

Influence of social capital on farmer household income gap: total effect and structural effect

Based on the survey data of typical villages in Shaanxi Province, China, the effect of social capital on the income gap of farmers’ households was analyzed using the Shapley value of the total amount of social capital and the social capital structure. The results show the following: first, social capital can expand the household income gap, and the effect of this index on the household income gap is 7.54%. Second, the indexes of the social capital dimension can expand the household income gap, and the structural effects of the household income gap on social networks, social trust, and social participation are 3.17%, 3.64%, and 0.65%, respectively. Third, no dimension of the path is the same as the effect on the household income gap.     

The Many Modalities of Social Networking: The Role of Twitter in Greens Politics

The popular microblogging service, Twitter, contains a variety of potential orientations—interpersonal, broadcast, news, advertising, public service, political, and so on—in its operation and applications. As an evolving social media platform, specificity and context are essential in understanding its significance and use-value. This paper investigates the multiple modalities of Twitter in the context of formal politics and, in particular, the Greens party in Australia. Presenting original evidence drawn from the Greens Members of Parliament and their advisers, it is shown how Twitter is mobilized in response to particular news agendas and stories, unfolding political events and processes, and an ongoing need for the Greens to speak simultaneously to committed environmentalists and the broader electorate. These uses reveal that Twitter is an important addition to the “media ecology mix” in the conduct of environmental politics, playing a direct role in political communication, strategies, and actions.     

循环经济理论思索

循环经济是对近现代人类社会长期、大规模、高强度、未善待大自然的开发活动导致自然资源和生态环境逼近其耐受极限而进行反思的产物.从经济-社会-科技-自然多元复合人工自组织系统角度,研究了循环经济的科学内涵,指出循环经济是建立在组织结构协同基础上的物质循环与能量梯级利用,是集约经济的高级形态和理想模式.针对循环经济包含的若干属性特征,论述了5个基本理论问题,包括守恒与平衡、循环与协调、互动整合与倍增效应、聚集经济与产业集群、生态学基本原理应用和生态系统服务.并就生态工业系统规划设计涉及的基本方法、关键环节、人力投入等给出了政策建议.      

重庆市特大旱灾的自然与社会机制分析

文章针对2006年的特大旱灾探讨了2006年的特大旱灾的特征,分析了2006年特大旱灾的形成自然机制和社会机制,并提出了今后重庆市抗御旱灾的策略。认为2006年的特大旱灾是自然因素与社会因素叠加的结果,是人类社会经济系统自身易损性的体现。     

社会资本对山区居民山洪灾害应急避险能力的影响研究*

为研究社会资本对山区居民应急避险能力的影响,在广泛调研的基础上采用结构方程模型分析社会资本与山区居民应急避险能力各要素之间的作用关系。结果表明:个人网络对避险知识和避险意识有显著的正向影响,对避险行为影响不显著;信任与避险知识和避险意识呈显著的正向影响,而与避险行为呈反向影响,但信任可以通过避险知识和避险意识间接正向影响避险行为;互惠对避险知识影响不显著,但互惠与避险意识和避险行为存在显著的正向关系;避险知识和避险意识对避险行为呈显著正向影响,其中避险意识对避险行为影响更为显著。因此可以通过增加山区居民社会资本的方式提高山区居民山洪灾害应急避险能力。