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1.
文章基于2000—2016年重庆37个县(区)面板数据,使用序列DEA方法测算了重庆农业全要素生产率变动,在此基础上探讨了重庆农业全要素生产率增长的时间演变,并从理论和实证层面系统考察了城镇化和工业化对农业全要素生产率增长的影响。结果表明:首先,2000—2016年间重庆市农业全要素生产率呈上升趋势,2007年后重庆市农业全要素生产率增长更为明显,并且重庆市各地区呈现出明显的空间不平衡性。其次,动态面板模型的实证结果表明城镇化对农业全要素生产率增长具有显著正向影响,工业化对农业全要素生产率增长也具有显著正向影响。最后,研究还发现基础设施、教育水平以及金融发展程度对农业全要素生产率增长均具有显著正向影响,而产业结构对农业全要素生产率增长具有显著负向影响。  相似文献   
2.
低水平的农产品电子商务能力阻碍了农产品企业的可持续发展和创新。基于社会物质主义理论,构建企业农产品电子商务能力的模型,讨论农产品电子商务能力的内涵、形成机制和作用效果;并对316份企业样本数据,运用内容分析、问卷调查法和结构方程分析方法对理论模型进行实证检验。结果发现,农产品电子商务能力具有多维度结构,包含管理能力、技术能力和人才能力三个核心维度,且三者相互关联,共同对农产品电子商务能力产生作用。由此开发出量表以期为企业提升农产品电子商务能力提供一个可操作和量化的通用工具。  相似文献   
3.
Previous studies on class voting have yielded mixed results linking income and demand for redistribution. Why do some poor people oppose redistribution, while some rich people support it? This article argues that an individual's level of patience, an important personal characteristic that influences how people calculate immediate and distinct outcomes, may moderate the effect of class on redistributive preference. In a one-shot game, redistribution between the rich and the poor is zero sum. When people extend their time horizons, however, the poor see the possibility of upward mobility, while the rich emphasize future losses, such as unemployment and economic instability. Consistent with the hypotheses, analyses of the 2014 Cooperative Congressional Election Study and a representative Taiwanese dataset from 2016 reveal a clear class cleavage in demand for redistribution among impatient poor and rich respondents, but the cleavage between their patient counterparts diminished. This pattern of convergence extends previous studies on upward mobility and risk perception theory.  相似文献   
4.
提升自主品牌形象是当前改善自主品牌消费环境、扩大自主品牌消费市场的重要现实命题,而厘清自主品牌负面刻板印象生成的根源及影响因素是探讨自主品牌形象提升的关键驱动因素与战略对策的理论基础。首先以8个论坛的受众跟帖为例,运用扎根理论进行探索性研究,发现负面企业形象、负面国货形象、负面政府形象、媒体渲染、国货意识淡漠和社会规范压力等6个主范畴是导致自主品牌负面刻板印象生成的主要影响因素;然后将范畴作为测量问项,将主范畴作为潜变量,进行问卷调查和实证分析,结果表明,6个主范畴均对自主品牌负面刻板印象存在显著的正向影响。在此基础上,根据自主品牌负面刻板印象生成的影响因素,提炼出自主品牌形象提升的5大关键驱动因素,即企业形象驱动因素、政府形象驱动因素、媒介框架驱动因素、消费者情感驱动因素和社会规范驱动因素,并对其影响效应及对策措施进行了探讨,建构了自主品牌形象提升的关键驱动因素影响效应模型。  相似文献   
5.
Despite policy efforts to increase adolescent happiness, their impact has been unsatisfactory. Their limited impact may be rooted from a discrepancy between values that adolescents pursued and those that the policies were based on. To provide policy implications, our study aims to identify prevailing values for South Korean, Japanese, and Chinese adolescents and to examine the relationship between the values and self-rated happiness (SRH). A cross-sectional study was conducted using survey data collected on approximately 2000 middle and high school students (7th to 12th school grade) from each country in 2008. Firstly, an explanatory factor analysis was conducted to identify salient adolescent values from each country. Subsequently, a multiple logistic regression analysis was conducted for each population group to examine the relationship between the identified values and adolescent SRH after controlling for sociodemographic characteristics. We found that benevolence and altruism were positively associated with adolescent SRH in all three population groups. Patriarchy was associated with SRH positively in Chinese yet inversely in Japanese. Success pursuit was inversely associated with SRH in Korean. Policy efforts based on values of communities or social harmony may benefit adolescents’ SRH in these three countries.  相似文献   
6.
描述了标准供给的定义与测度,分析了要素禀赋结构对标准供给的作用机理,并对1993-2016年中国十六个制造业行业的面板数据进行了实证研究。研究结果表明:要素禀赋结构对标准供给有显着的正向影响,其中资本劳动比、研发资金投入、研发人力投入对标准供给的提升存在显著的正向影响,而且研发资金投入的影响最大,研发人力投入次之,资本劳动比的影响最小。这一结论对调整我国行业标准供给,提升我国标准市场竞争力具有重要意义。  相似文献   
7.
Mixtures of factor analyzers is a useful model-based clustering method which can avoid the curse of dimensionality in high-dimensional clustering. However, this approach is sensitive to both diverse non-normalities of marginal variables and outliers, which are commonly observed in multivariate experiments. We propose mixtures of Gaussian copula factor analyzers (MGCFA) for clustering high-dimensional clustering. This model has two advantages; (1) it allows different marginal distributions to facilitate fitting flexibility of the mixture model, (2) it can avoid the curse of dimensionality by embedding the factor-analytic structure in the component-correlation matrices of the mixture distribution.An EM algorithm is developed for the fitting of MGCFA. The proposed method is free of the curse of dimensionality and allows any parametric marginal distribution which fits best to the data. It is applied to both synthetic data and a microarray gene expression data for clustering and shows its better performance over several existing methods.  相似文献   
8.
ABSTRACT

Researchers commonly use p-values to answer the question: How strongly does the evidence favor the alternative hypothesis relative to the null hypothesis? p-Values themselves do not directly answer this question and are often misinterpreted in ways that lead to overstating the evidence against the null hypothesis. Even in the “post p?<?0.05 era,” however, it is quite possible that p-values will continue to be widely reported and used to assess the strength of evidence (if for no other reason than the widespread availability and use of statistical software that routinely produces p-values and thereby implicitly advocates for their use). If so, the potential for misinterpretation will persist. In this article, we recommend three practices that would help researchers more accurately interpret p-values. Each of the three recommended practices involves interpreting p-values in light of their corresponding “Bayes factor bound,” which is the largest odds in favor of the alternative hypothesis relative to the null hypothesis that is consistent with the observed data. The Bayes factor bound generally indicates that a given p-value provides weaker evidence against the null hypothesis than typically assumed. We therefore believe that our recommendations can guard against some of the most harmful p-value misinterpretations. In research communities that are deeply attached to reliance on “p?<?0.05,” our recommendations will serve as initial steps away from this attachment. We emphasize that our recommendations are intended merely as initial, temporary steps and that many further steps will need to be taken to reach the ultimate destination: a holistic interpretation of statistical evidence that fully conforms to the principles laid out in the ASA statement on statistical significance and p-values.  相似文献   
9.
以大样本问卷调查为基础,采用多种数理统计方法,进行基于学习动机主观感知为学生主体类型划分及影响因素的研究。发现学习动机表征因素不止于内在和外在,还会体现在近期和远期、物质和精神、自我和他者等其他复杂要素上,而且还会受到入校时间、学校类型、性别以及地缘背景等因素影响。构建与学生主体需求相匹配的教育资源供给梯次和分类指导对促进高校教育具有重要意义。  相似文献   
10.
采用“两步法”研究了农机服务发展与中国粮食生产效率的关系.基于2004-2016年全国31省份粮食生产投入产出的面板数据,利用变系数随机前沿分析方法测算了中国粮食生产的技术变化、技术效率以及全要素生产率,然后构建农机服务发展影响粮食生产效率的OLS回归模型.结果表明:(1)31省份粮食生产的投入要素产出弹性和技术效率存在明显差异,2008年粮食技术变化最为明显,粮食全要素生产率的增长在2008年高达5%.(2)农机服务在2008年以后对粮食全要素生产率的增长具有显著的促进作用,农机服务对粮食TFP的作用存在一定的滞后效应.(3)农机服务发展与劳动产出弹性具有替代关系,与化肥和机械产出弹性具有互补关系.在三大粮食作物中,小麦机械化程度最高,水稻和玉米的机械化程度还有待提升.  相似文献   
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