Valuing improvements in urban water security: evidence of heterogeneity derived from a latent class model for eastern Australia

In many Australian cities the response to drought has included the imposition of mandatory constraints over how water is used by households, often termed ‘water restrictions’. A similar rationing approach has been witnessed in California’s recent drought. The aim of water restrictions is to slow the depletion of water storage but restrictions have also been criticized for the costs they impose on specific water users. In order to gain insight into the potential magnitude of the cost of water restrictions, this study uses a choice experiment to investigate the non-market values for specific attributes associated with the outcomes of drought restrictions. This information was sought to understand the community’s willingness to pay for attributes related to the extent, frequency and duration of water restrictions. The article reports a latent class choice model for a major city in eastern Australia and investigates heterogeneity in preferences towards increasing water availability during drought. This study departs from the existing literature by conducting the choice experiment in a context where water supply is relatively abundant. This unique framing of the choice experiment allows for a useful comparison with existing studies and also raises challenges about the interpretation of the data for planning purposes.     

Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

ABSTRACT

This study assesses the importance, performance, and the interrelationships of key destination attributes for marketing managers to prioritize resource allocation. A three-dimensional analysis of importance–performance–impact-analysis (IPIA) factors, based upon a survey sample of 275 Chinese tourists to Britain and an expert panel interview with 10 destination marketing managers is presented. Data analysis was based upon a mix of multi-criteria decision-making methodologies, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP) method. The framework can be applied to prioritize resources allocation to improve customer satisfaction in other contexts, such as a sector or a specific business.     

How is Benevolent Leadership Linked to Employee Creativity? The Mediating Role of Leader–Member Exchange and the Moderating Role of Power Distance Orientation

Previous research has shown that virtuous leader behavior in the form of benevolent leadership has considerable impact on employee creativity. However, little is known as to how and under what conditions these constructs are linked. In the current research, we proposed and tested a moderated mediation model positing leader–member exchange (LMX) as a mediator, and employee power-distance orientation as a moderator of this relationship. Two studies were conducted to test our hypothesized model. In Study 1, repeated measured data collected from 284 Chinese employees in an information technology company demonstrated that benevolent leadership had a lagged effect on LMX. In Study 2, analyses of multisource and lagged data from 391 Chinese employees in 42 research and development teams, and their direct supervisors indicated that benevolent leadership was positively related to supervisor-rated employee creativity via LMX. In addition, the relationship between benevolent leadership and LMX was stronger for employees high in power-distance orientation. Theoretical implications of benevolent leadership’s research and practical contributions concerning promoting creativity in organizations where benevolent leaders prevail are also discussed.     

Can Industrial Restructuring Significantly Reduce Energy Consumption? Evidence from China

This article uses China’s input–output (I-O) tables in 2002, 2007, and 2012 to estimate the real energy consumption of each sector after the I-O adjustment. The relationship between the sectors is further analyzed using the utility analysis method based on ecological network analysis. The empirical results show that although the traditional energy-intensive industries are the major energy-consuming sectors from a direct energy consumption perspective, large energy consumption by energy-intensive industries is transferred to downstream industries through intermediate products after the I-O adjustment. Specifically, the building industry and service sector are the sectors with the highest real energy consumption. With the upgrading and optimization of the industrial structure, the proportion of energy-intensive sectors in China is declining. However, the development of the service sector and infrastructure construction still requires large intermediate inputs. Thus, industrial restructuring cannot significantly reduce China’s total energy consumption.     

不确定环境下创业型领导如何提升组织创新绩效

创业型领导是企业应对高度不确定环境的有效领导力，通过机会开发、变革创新保持竞争优势与实现可持续发展。依据战略创业理论和效果推理理论，对高科技企业高管和员工展开问卷调查，探究不确定环境下创业型领导对组织创新绩效的影响机制。结果表明：创业型领导正向预测组织创新绩效；组织即兴在二者之间起部分中介作用；环境动态性正向调节创业型领导与组织即兴关系，并进一步调节组织即兴在创业型领导与组织创新绩效间的中介效应。该研究发现对企业充分发挥领导效能、促进组织创新具有重要指导意义。     

道路施工扬尘排放特征分析及控制措施

随着我国加大对于道路基础设施的建设,我国经济增长的同时也伴随着施工扬尘的产生,道路建设也成为造成当地空气质量问题的重要因素,扬尘扩散也对人类健康造成严重影响.目前的扬尘治理缺乏科学指导,浪费大量人力及财力资源.本文针对道路施工不同工序特征结合大气扩散理论,探究在道路建设中扬尘产生的影响因素及扩散机理,提出道路建设施工扬尘控制措施,有效抑制扬尘产生扩散,减少环境污染.     

创新要素流动对城市群协同创新的影响——基于长三角城市群与长江中游城市群的实证

利用2006-2017年长三角城市群和长江中游城市群共41个地级市面板数据，首先，运用拓展DEA法对两大城市群协同创新水平进行测度，然后，采用空间计量模型实证考察创新要素流动对城市群协同创新的影响，进一步以互联网发展水平为门限变量，构建门限模型，探析互联网发展对创新要素在城市群流动的协同创新效应是否存在门限效应。研究发现：创新要素流动对城市群协同创新影响的总效应显著为正，空间正向溢出效应显著，且存在群际差异；在两大城市群内，创新要素流动对城市群协同创新影响呈现非线性，创新人员流动对城市群协同创新影响呈“倒U型”特征，创新资本流动对城市群协同创新影响呈“U型”关系，相应拐点在不同城市群呈现异质性。     

基于超效率SBM模型的珠三角区域物流效率及影响因素分析

物流效率是反映物流绩效水平的重要指标.以珠三角城市群9个地市(不含香港特别行政区和澳门特别行政区)为研究对象,基于珠三角9个地市2010—2019年的面板数据,采用超效率SBM模型和GM L指数,测算珠三角城市群各地市的物流效率值及变动趋势.研究表明:技术进步是珠三角区域物流效率提升的主要因素,综合管理水平有待提高;珠三角区域的物流效率总体处于中等偏上效率水平且变化不大,深圳市物流效率水平提升较快且效率最高,东莞市物流效率最低,珠海市效率值起伏最为明显,整个测算期间呈"W"形走势.为进一步探讨外部因素对珠三角区域物流效率的影响程度,选取Tobit模型进行回归分析,发现区位优势对珠三角地区物流效率的提升起到了重要的作用.     

会计演化逻辑与发展趋势探究——基于数据、算法与算力的解析

数字经济时代,会计研究需要从信息思维转换为数据思维.在对传统会计发展研究简要归纳的基础上,本文从数据、算法与算力视角重构了会计信息系统;以应对不确定性为会计系统的目标起点,归纳了会计算法从确定性到不确定性的演化发展规律及其内在逻辑冲突,讨论了数据和算力提升对会计算法优化的必要性和可行性;最后文章指出,未来会计信息系统需要在新技术革命的引领下实现全面升级.本文研究为数字经济时代理解会计发展提供了新视角,为人们思考会计未来趋势提供了新启示.