How Collective Engagement Creates Competitive Advantage for Organizations: A Business-Level Model of Shared Vision,Competitive Intensity,and Service Performance

We argue that collective engagement can serve as a unique value-creation capacity at the business level by linking shared vision and service performance. We also propose that competitive intensity will be a market indicator by which management can enhance the effect of shared vision on collective engagement, and indirectly strengthen service performance (through collective engagement). Furthermore, we argue that this distinctive value-creation capability, embedded in collective engagement, generates competitive advantage; specifically, one that competing organizations will struggle to replicate. We examine our moderated-mediation model by using a three-time-point method derived from five different sources in 198 retail-service branches. Our findings indicate that collective engagement, fueled by shared organizational vision, improves service performance. Furthermore, as this conditional indirect effect of shared vision on service quality and customer satisfaction was solely generated through collective engagement rather than other mechanisms (i.e., commitment and involvement), it creates a competitive advantage for engagement-oriented organizations.     

How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis

China's transport sector has been attracting great attention for its excessive energy consumption and ever-increasing pollution emissions. Thus, reducing energy intensity is one of the top priorities of China's ongoing transport upgrade. In this paper, by establishing a panel data regression model derived from the Cobb–Douglas cost function, we focus on investigating the impacts of energy price and transport productivity on transport energy intensity at the national and regional levels. The study uses the provincial panel data for 2005–2016 to perform regression analysis. The results show that: (1) energy price has a significantly negative effect on transport energy intensity in the whole China and the eastern region, whereas it has no significant impacts in the central and western China. (2) Improvements in transport productivity can effectively decrease transport energy intensity in the whole China and the three major regions. (3) Applying an extended data envelopment analysis (DEA) approach, we decompose transport productivity into four components (i.e., technical change, technology gap change, scale efficiency change, and pure efficiency change) and further differentiate their impacts in different regions. The results indicate that these four components have substantially different impacts in each region. These results provide some valuable insights for policymakers and enterprise entities aiming to adopt measures to reduce energy intensity and achieve sustainable development in China's transport sector.     

我国碳排放交易会计问题研究

从碳排放交易所涉及重点排放企业的角度出发,通过分析我国碳排放交易市场的现状,借鉴相关的研究与规范,就碳排放配额的会计确认问题、碳排放权交易的会计处理问题、企业碳排放相关的会计信息披露问题进行研究分析,提出了碳排放交易的会计处理的意见和建议。     

低碳视角下多式联运经济性能实例分析--以郑明物流为例

为了进一步研究铁路运输与其他运输方式开展多式联运的经济性能,在阐述多种运输方式性能差异的基础上,以郑明物流为例,通过分析其特定运输路线现有运输方式的能源消耗、碳排放量和运输过路费等指标,提出在不同月份和不同时期的多式联运优化方案,为物流企业开展多式联运提供借鉴。     

The determinants of capital intensity in Japan and the US

We estimate the determinants of capital intensity in Japan and the US, characterized by striking different paths. We augment an otherwise standard Constant Elasticity of Substitution (CES) model with demand-side considerations, which we find especially relevant in the US. In this augmented setting, the elasticity of substitution between capital and labor is placed between 0.74 and 0.90 in Japan, and around 0.30 in the US. We also find evidence of biased technical change, which is capital-saving in Japan but labor-saving in the US. These differences help us explain the diverse experience in the capital deepening process of these economies, and lead us to conclude that demand-side drivers, quite relevant in the US, may also be relevant to account for different growth experiences. A close look at the nature of technological change is also needed before designing one-size-fits-all industrial, economic growth, and/or labor market policies.     

耕地流转与规模经营改善了农业环境吗？ ——基于耕地利用行为对农业环境效率的影响检验

研究目的:基于2007—2016年26省农业生产数据,测算"面源污染"和"碳排放"两类非期望产出下的农业环境效率,构建"耕地流转—利用规模—利用方式与利用强度—农业环境效率"的传导路径并进行计量检验。研究方法:超效率SBM模型,中介效应模型。研究结果:(1)耕地流转并未显著提高农业环境效率,但耕地利用规模对农业环境效率的影响呈倒U型;(2)耕地流转有助于扩大耕地利用规模,进而在样本中对农业环境效率呈现负向影响。与此同时,耕地流转对农业环境效率也存在正向的直接效应,正负效应基本抵消;(3)耕地利用规模主要通过改变化肥和机械投入强度进而负向影响农业环境效率。研究结论:农业环境效率受耕地流转、利用规模、利用方式和强度等多重因素影响,呈现明显的传导路径,因此,为了提高农业环境效率,在积极推行土地流转和规模化经营政策时,要注意结合地区农业生产力和地理环境,避免盲目扩大经营规模,同时鼓励规模经营主体引进农业绿色环保技术,注重农业生产资料的合理利用。     

中国耕地资源利用的碳排放时空特征及脱钩效应研究

研究目的:揭示中国耕地资源利用的碳排放时空分异规律及其与农业经济增长之间的脱钩关系,以期为中国耕地资源低碳化利用政策的制定和推行提供参考。研究方法:IPCC碳排系数法,TAPIO脱钩分析法。研究结果:(1)中国耕地资源利用的碳排放整体上呈现增长趋势,但2010年后增速趋于下降并于2016年开始转入负增长,省际差异不断扩大的同时区域间差异趋于缩小;(2)中国耕地资源利用的碳排放强度总体上处于下降态势,省际和区域间碳排放强度的差异总体上趋于缩小;(3)中国耕地资源利用的不同碳排放源的碳排放量及增速呈现不同的时序波动特征,同时存在明显的地域差异性,其中,化肥是最主要碳排放源;(4)中国2000—2012年耕地资源利用的碳排放与农业经济增长之间呈现以"弱脱钩"为主,但2013—2017年不同省域的脱钩类型及脱钩程度趋于差异化。研究结论:中国耕地资源利用碳排放的时空分异性显著,且与农业经济增长之间不同阶段和不同省域呈现不同脱钩类型,需突出减排重点、实施差异化策略及注重绿色发展等多途径推进耕地资源低碳化利用,提高政策的精准性。     

湖北省碳排放与经济增长脱钩分析

以2000-2014年湖北省GDP、能源消费和碳排放为基础数据,从能源结构、能源消耗强度和碳排放强度方面分析在此期间湖北省能源利用现状以及变化趋势,并且利用Tapio脱钩模型,分析湖北省2001 -2014年间经济增长与碳排放之间脱钩关系,将能源消费作为中间变量说明脱钩状态变化的原因。结果表明湖北省在此期间经济增长与碳排放绝大多数处于弱脱钩状态,并有向强脱钩转变的趋势,并且分析原因主要是经其二者与能源消费结构的改善和能源能利用率的提高有密切关系。最后就区域层面、企业层面以及个人层面提出相关建议。