Exploring pilgrim satisfaction on facilities for religious events: a case of Ratha Yatra at Puri

This article relates to the annual Ratha Yatra festival at Puri, India, and aims at quantifying the pilgrim perception of the event on three major aspects of every facility – adequacy, quality, and signage – to measure their satisfaction. A questionnaire survey (N?=?680) was conducted, from which a five-factor structure was extracted using exploratory principal component analysis, further examined through partial least squares-path modeling. The final model was found to have significant positive effects on three factors that comprised adequacy and quality of physiological needs, quality of ancillary facilities, and signage. The outcome may be utilized in planning other pilgrim events for achieving a higher pilgrim satisfaction score.     

普惠金融发展的地区差异、收敛性及影响因素研究*——基于中国省级面板数据的检验

本文利用2005—2016年省级面板数据，对我国各地区普惠金融发展水平进行测度，并在此基础上探讨其收敛性及影响因素。结果表明：（1）我国普惠金融发展水平在考察期内总体偏低，并且呈现出显著的地区差异性。（2）绝对β收敛在全国、中部和西部均存在，而东部不存在；条件β收敛在全国、东部和西部均存在，而中部不存在。（3）政府干预程度、市场化程度、人力资本质量、非正规金融以及外商直接投资对普惠金融发展均具有重要的影响。     

辽西北地区农业干旱危险性评价与区划

[目的]开展农业干旱危险性评价与区划研究,为辽宁省西北地区农业防旱抗灾工作提供科学依据。[方法]文章根据联合国国际减灾战略署(ISDR)对农业干旱危险性的定义,分析了构成研究区作物干旱危险性的致灾因子和孕灾环境因子,采用层次分析法确定了各因子的权重,构建了研究区农业干旱危险性评价指标和模型。以2009年为例,通过利用降雨、土壤、农业生产类型及地形等数据计算了辽西北地区农业干旱危险性评价指数,利用自然间断点法分级干旱危险性评价指数,并借助GIS技术,绘制研究区农业干旱危险性等级区划图。[结果] 2009年作物生长期间研究区农业干旱危险性由高到低排列为:朝阳市葫芦岛市锦州市阜新市铁岭市沈阳市。[结论]辽西北地区农业干旱危险性等级区的划分,能够帮助政府管理部门为面临干旱威胁不同的区域建立适当的防灾方法和有效的应急预案。     

Factor allocation,economic growth and unbalanced regional development in China

On the basis of development accounting techniques and a factor misallocation framework, we use panel data of 30 Chinese provinces from 2000 to 2013 to assess how factor allocation affects economic growth and unbalanced regional development in China. In particular, we decompose economic growth into three parts, namely sector productivity (SP ), factor market efficiency (FME ) and factor endowment (FE ). We then conduct counterfactual analyses to investigate the short and long‐run roles of factor allocation in the income distribution across provinces. The results show that SP , FME and FE can explain 23%, 8.5% and 68.5% of economic growth, while labour, capital and energy reallocation account for aggregate productivity growth of about 47%, −4.8% and −0.1%. Furthermore, when the factors are efficiently allocated, transferring labour (capital, energy) from agriculture (service, industry) to the other sectors will increase the income per capita by 29.5% and 42.5% in the short and long term. Meanwhile, efficient factor allocation accounts for 32% and 29.7% of aggregate productivity and reduces the income variation across provinces by 25.5% and 23% in the short and long run, respectively.     

陕西农村居住地生态环境影响因素分析

[目的]随着农村城镇化进程的加快,由此引发的农村居住地生态环境恶化已成为制约农业和农村经济可持续发展的瓶颈,加强农村居住地生态环境保护和治理,是目前亟待解决的重要问题。研究分析农村居住地生态环境影响因素,为有效改善居住地生态环境提供重要理论依据。[方法]以陕西省为主要研究区域,采用层次分析法,构建矩阵模型,研究影响陕西省农村居住地生态环境的农民因素、生产活动和政府因素3个层次,包括周边乡镇企业废物排放、农用投入品的使用、畜禽养殖业废物排放、人均消费支出、农村人均家庭纯收入、农村家庭恩格尔系数、环保意识、政府监管力度、环境保护财政支出,相关政策法规等10个因素所占权重,得到不同因素的重要性排序。[结果]乡镇企业废物排放、农用投入品的使用、农村人均家庭纯收入和农村人均消费支出是影响农村居住地生态环境的主要因素,且重要性排序为乡镇企业废物排放农用投入品的使用农村人均家庭纯收入农村人均消费支出。[结论]加强乡镇企业废物排放管理和农用投入品的生产和使用审查,降低不必要的消费支出,同时为农民提供更多的就业机会,提高人均家庭村收入,是目前改善农村居住地生态环境的有效措施,为农民提供一个安全舒适的居住场所,这也将有利于农村经济的可持续发展。     

复杂制造过程中的人为因素分类研究

在高度复杂产品的生产制造过程中，特别是总装环节，70%以上工位的工作循环时间超过100工时。因此，人为因素一直是困扰我国高端制造产业质量提升的大难题。传统的人为因素分析往往使用粗心大意、骄傲自满等类条款，将责任推给了出差错的一线操作人员，很难起到标本兼治的作用。首先优化制定了制造过程人为因素细分科目，分析了典型复杂产品制造过程人为出错主因，制定了控制人为质量事故的主要措施。然后对我国制造业人为因素质量管理有着积极的借鉴作用。     

Farm size and productivity growth in the United States Corn Belt

In recent decades, agricultural production in the U.S. has continued to shift to large-scale operations, raising concerns about the economic viability of small and midsized farms. To understand whether economies of size provided an incentive for the consolidation of production, the study estimates the total factor productivity (TFP) of five size classes of grain-producing farms in the U.S. Heartland (Corn Belt) region. Using quinquennial Agricultural Census data from 1982 to 2012 the study also compares TFP growth rates across farm sizes to gain insight into whether observed productivity differences are likely to persist. The finding of a strong positive relationship between farm size and TFP suggests that consolidation of production has contributed to recent aggregate productivity growth in the crop sector. The study estimates the extent to which sectoral productivity growth can be attributed to structural change versus other factors including technological change. The study also explores some tradeoffs associated with policies that raise the productivity of small versus large farms.     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.     

组织场域视角下水利水电工程BIM技术扩散的影响因素 ——基于TOE框架的分析

在梳理国内外BIM采纳与扩散相关研究的基础上，从新制度主义理论出发，提出了水利水电工程组织场域并分析了其特征；进而运用技术-组织-环境(TOE)框架和匹配理论，分别讨论了水利水电工程组织场域BIM扩散的主要影响因素，形成一个整体的理论分析框架。分析表明，水利水电工程组织场域BIM扩散的影响因素主要包括:相对优势、兼容性和复杂性等技术因素，组织沟通、资源就绪度和高层领导支持等组织因素，以及制度环境、市场环境等环境因素。     

Understanding precedents for frontline employee turnover in luxury hotels: Emotional intelligence as a unifying factor

Current turnover research fails to serve the needs of an industry that is long plagued by employee turnover. Existing literature focuses more on evaluating bundles of human resource practices and fail to provide precise and clear guidance for practitioners. This study proposes that emotional intelligence (EI) unifies sufficient individual factors and organizational factors that affect employee turnover and serves as a single significant precedent for turnover. Data were collected from frontline employees at eight luxury hotels. The direct, indirect, and total impacts of employee EI on employee turnover were tested by structural equation modeling and bootstrap tests. The results suggest that EI has significant indirect impacts through the mediation of perceived organizational support, pay satisfaction and job burnout, and significant total impacts on turnover. Implication suggestions include integrating EI into the recruiting process for new employees and providing training opportunities for current employees to improve their EI.