Effects of perceived product quality and Lifestyles of Health and Sustainability (LOHAS) on consumer price preferences for children's furniture in China

The effects of perceived product quality and orientation toward Lifestyles of Health and Sustainability (LOHAS) on consumer price preferences were studied with the use of survey data of the children's furniture market in two metropolitan cities of China: Shanghai and Shenzhen. Based on the results from a factor analysis and logistic regression, consumers’ perceived product quality of children's furniture was identified as a four-dimensional construct: ‘supplier attributes’, ‘extended product attributes’, ‘basic product attributes’ and ‘environmental quality attributes’. Consumer price preferences were discovered to be negatively influenced by ‘basic product attributes’, but positively influenced by consumer orientation towards LOHAS, gender and education level. In conclusion, China's children's furniture market presents a high-end niche segment with growth potential for both furniture producers and wood material suppliers.     

The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

包西高速铁路引入鄂尔多斯地区方案研究

包西高速铁路作为我国"八纵八横"高速铁路通道中重要的纵向通道之一,建成后呼包鄂城市群和关中平原城市群将实现有效连接。鄂尔多斯市为典型的"一城双核"城市,包西高速铁路的引入将对地区客运布局产生较大影响,根据鄂尔多斯地区城市及铁路现状、城市总体规划及交通规划,结合地区客运量及特点,提出地区内包西高速铁路引入方案及车站设置方案,确定合理的引入及客站布点,研究地区内高速铁路客站布局,结合地区客流特点,确定高速铁路车站分工;合理确定引入地区线、站位方案将有助于完善鄂尔多斯铁路枢纽的客运铁路布局,有助于完善鄂尔多斯地区高速铁路网络,提升呼包鄂城市群的辐射效应,促进城市建设和经济发展。     

Creating Opportunities for Women in the Renewable Energy Sector: Findings from India

This paper identifies opportunities and constraints that low-income women face in accessing livelihoods in the renewable-energy sector in India through qualitative and quantitative research conducted in collaboration with The Energy Resources Institute (TERI) and the Self Employed Women's Association (SEWA) in 2012–13. Whereas previous research has focused on women mostly as end users of solar and biomass technologies, this research attempts also to understand women's potential as entrepreneurs, facilitators, designers, and innovators. Findings reveal that although access to technology and employment in the energy sector is limited by inadequate purchasing power and low social status, there is tremendous potential to create livelihoods for women at all levels of the energy supply chain. Broader findings indicate that women can gain optimal traction from employment in the energy sector only if there are wider socially progressive policies in place, including state intervention to create a robust social welfare infrastructure and accessible, high-quality, public services.     

La gestión mecanicista de las Instituciones de Educación Superior: un estudio desde la modelación sistémica

The bureaucratic tendencies to organize work in Higher Education Institutions (HEIs) of which facilitates personnel control and the mechanical ways to measure educational content are the ones that shatter education in pieces, under the hierarchy criterion, also shattering the professor's labor. This organizational method results in an incompetent education, leaving very negative consequences for teaching development. We address this problem by using systemic modeling and Structural Equations Systems (SEM) to confirm hypotheses from scientific observation. It was proven that there was a negative impact of mechanistic management which affected teacher's development. This was proven in context in two HEIs located in Villahermosa (Tabasco, Mexico).     

金庸小说的主题学研究与定位——刘卫英、王立《金庸小说母题及中外比较研究》读后

《金庸小说母题及中外比较研究》一书,从多种母题、主题、意象来探讨金庸小说的民族文学特征、民族文化内蕴生成以及外来佛经故事影响。注意在一个武侠文学传统的传承性链条上,发掘金庸小说的多重文化价值。在具体母题、意象的实证探究中,非常重视主题学理论方法的运用,拓展了主题学研究的视阈与空间,进一步验证和提升了主题学研究方法的学术意义与价值。     

教育本该不一样

教育本该不一样，因材施教、有教无类，说的就是不同。教育不从根本上由“批发”改为“零售”，我们就培养不出创新人才、杰出人才，甚至于培养不出我们常说的有用人才。为了培养创新人才，教育内容要力求全面，教育目标要力求明确，教育的方法要务求得当。     

Does obligational contracting lead to better performance? A comparison of global carmakers’ supply chain management approaches in Australia

Supply chain management (SCM) has been recognised as key to automobile manufacturers’ (‘buyers’) competitive advantage. However, the performance implication of two different approaches towards SCM, obligational contracting (OCR) vs. arm’s length contracting (ACR), remains inconclusive in the current literature. By focusing on examining how multiple global automobile manufacturers’ SCM practices result in different performance outcomes in the one-country setting of Australia, we are able to ascertain the direct impact of SCM approaches on buyers’ performance. We also provide detailed analysis on the specific influence of each distinguishing feature of the OCR/ACR approaches on different aspects of performance. Through a more nuanced investigation of the links between SCM approaches and automobile manufacturers’ performance at the firm level, this research contributes to a better understanding of the topic with managerially applicable insights.     

Preference aggregation and atoms in measures

This paper examines the aggregation of preferences with a finitely additive measure space of agents. We consider three types of non-dictatorship axioms: non-dictatorship, coalitional non-dictatorship, and atomic non-dictatorship. First, we show that the existence of an atom is a necessary and sufficient condition for the existence of a social welfare function that satisfies weak Pareto, independence of irrelevant alternatives, and coalitional non-dictatorship. Second, we simultaneously impose non-dictatorship and coalitional non-dictatorship, and specify a necessary and sufficient condition for the finitely additive measure that guarantees the compatibility among the axioms. Third, we impose all non-dictatorship axioms and show that the corresponding measure is extremely restricted.     

Brexit: Tracking and disentangling the sentiment towards leaving the EU

On 23 June, 2016, the UK held a referendum to decide whether to stay in the European Union or leave. The uncertainty surrounding the outcome of this referendum had major consequences for public policy, investment decisions, and currency markets. We discuss some of the subtleties involved in smoothing and disentangling poll data in light of the problem of tracking the dynamics of the intention to Brexit, and propose a multivariate singular spectrum analysis method that produces trendlines on the unit simplex. The trendline yield via multivariate singular spectrum analysis is shown to resemble that of local polynomial smoothing, and singular spectrum analysis presents the nice feature of disentangling the dynamics directly into components that can be interpreted as changes in public opinion or sampling error. The merits and disadvantages of some different approaches for obtaining smooth trendlines on the unit simplex are contrasted, in terms of both local polynomial smoothing and multivariate singular spectrum analysis.