中国柑橘主产区的区域比较优势及其影响因素研究*——基于省级面板数据的实证分析

[目的]通过研究我国柑橘主产区的区域比较优势及其影响因素,为我国柑橘产业的发展提供科学依据。[方法]利用2005—2015年全国柑橘产业的相关数据,采用综合比较优势指数模型和资源禀赋系数模型,定量测算了2005—2015年我国柑橘主产区的区域比较优势指数及资源禀赋系数,结合动静态面板数据模型实证分析了柑橘主产区区域比较优势的影响因素。[结果](1)我国柑橘各主产区比较优势明显但差异较大,柑橘产业有从东南沿海地区向中西部转移的强劲趋势;(2)我国柑橘生产的资源禀赋优势较为集中且在不断的发生变化,福建、浙江、四川及湖南4省处于下降趋势,其他主产区均有所上升;(3)资源禀赋、资本投入对柑橘区域比较优势有正向的影响,技术创新的正向影响在动态中显现,经济水平对区域比较优势有负向影响。[结论](1)我国柑橘主产区的区域比较优势受到资源禀赋、资本投入、技术创新、经济水平等因素的综合影响;(2)要根据各主产区的现状条件进一步优化柑橘产业区域布局,提高科技含量,并且要结合当地的经济发展情况以及资源禀赋条件使柑橘产业能够在主产区脱贫和乡村振兴中发挥更大作用;(3)南方沿海地区柑橘产业近年受黄农病影响严重,柑橘产业向中西部转移。     

北京农户增收影响因素与对策研究

对北京农户收入面板数据及187户实地调研数据进行分析，得出农户收入稳步增长、增速平缓、农户收入以工资性收入为主、城乡收入差距大和各区之间农户收入差异大的结论以及存在着农户增收活力不足、经营收益低、财产性所得少、新型农业发展不足、农村人口老龄化、农民文化程度低和农民健康状况差的问题。认为深化农业农村改革、鼓励土地流转、改善人居环境、完善支农政策、推广医疗保险、吸引人才下乡和培育职业农民可增加农户收入。     

京津冀生态涵养区生态与产业协调发展影响因素分析

[目的]京津冀协同发展国家重大战略将冀北地区的发展确定为承担生态保障与水源涵养功能,文章基于长期以来该区域生态脆弱、经济落后的特征,研究了该生态涵养区生态与产业协调发展的影响因素,目的是为该区域生态建设与产业经济协调发展提供参考。[方法]设置了影响生态建设与产业经济协调发展的规模因素、经济因素、社会因素与政策因素四大类37个影响因素,借助于统计数据,在对数据进行标准化处理的基础上,应用计量经济模型,通过因子分析法将各个因素进行分类归纳为5个公因子,利用SPSS软件回归模拟结果显示各个因素对生态建设与产业经济协调发展的影响作用。[结果]将四大类通过因子分析法的主成分分析,应用计量经济模型模拟,拟合优度较高,影响因素通过分组具有较强的解释力,结果能够很好地反映这些影响因素对生态建设与产业经济协调发展的影响方向与影响程度。[结论]依据定性分析假设与计量模拟分析结果,针对存在的问题与发展机遇,提出对策建议:继续加强生态建设项目的推进、适度扩大产业经营规模、加大生态建设与产业发展投资力度、实施资源节约型生产创新模式以及健全和完善生态与经济协调发展制度。     

The effects of the visual presentation of an Influencer's Extroversion on perceived credibility and purchase intentions—moderated by personality matching with the audience

Influencers are ordinary individuals who have amassed large followings by demonstrating expertise in various niches on social media sites. We aim to propose (1) the visual presentation of an Influencer's extroversion as an antecedent to source credibility and purchase intentions and (2) personality matching in terms of extroversion between an Influencer and their audience as a moderator of such relationships. We chose the source credibility model and the similarity-attraction model as our theoretical frameworks. In our controlled online experiment (n = 165), the profile of a brand ambassador of a fashion brand was curated to create two levels of extroversion (i.e. low vs. high extroversion). Participants' self-reported extroversion levels were counterbalanced in these two conditions to create a personality match with the Influencer, entitled “extroversion congruence.” Our results suggest that the visual presentation of an Influencer's extroversion increases the perceived credibility of the Influencer and subsequent purchase intentions. Additionally, our findings show that these relationships were asymmetrically moderated by extroversion congruence: the positive effects of extroversion increase in the case of high extroversion among both the Influencer and their audience but decrease in the case of low extroversion.     

Cross-sectional tests of asset pricing models with full-rank mimicking portfolios

In the standard tests of asset pricing models, factor risk premia are estimated on a test asset span so that models are tested with degrees of freedom reduced by the number of factors. Risk premia of traded factors can be further restricted to be equal to their expected returns, but such restrictions cannot be imposed on models with nontraded factors, which may create a problem of testing without full restrictions or on unequal asset spans across models. We propose a full-rank mimicking portfolio approach by projecting nontraded factors onto a combined span of test assets and benchmark traded factors. Under the Hansen-Jagannathan distance framework, we demonstrate that full-rank mimicking portfolios can provide improved power and fair performance comparison against a benchmark model in both specification and model comparison tests.     

Factor pricing of cryptocurrencies

In this paper, we study the cryptocurrency pricing factors. We review the literatures which state that the cryptocurrency market is weakly efficient. We use the Fama–MacBeth method to investigate the pricing factors. The classical equity-based risk factors including size, momentum, and value to growth from the Fama–French three factor model are studied. We use crypto-unique coin-to-token as a proxy for value-to-growth. For volatility risk factor category, we investigate realized volatility, skewness and jump. We also investigate liquidity factors including bid–ask, volume growth and Roll’s measure. The macro factors are found not to be an explanatory factor. The attention factor works sometimes. The factor model constructed by the significant factors explain most of the excess return of cryptocurrencies.     

安徽省旅游经济地区差异及其收敛性

旅游经济在经济发展中的重要性持续提升。基于安徽省2012—2021年国内旅游收入数据，采用σ收敛、绝对β收敛、个体固定效应模型对安徽省旅游发展不平衡现象进行研究。结果表明：安徽省旅游收入呈“N”字形变化，总体发展不均衡，存在“皖南-皖中-皖北”的梯度递减趋势；安徽省旅游经济总体呈σ收敛和绝对β收敛态势，城市间差异逐步缩小；星级饭店数量、国内旅游人均花费、移动电话年末用户数量等因素均对安徽省旅游经济具有显著影响。     

Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude

ABSTRACT

Findings of two experimental studies show that Instagram influencers with high numbers of followers are found more likeable, partly because they are considered more popular. Important, only in limited cases, perceptions of popularity induced by the influencer's number of followers increase the influencer's perceived opinion leadership. However, if the influencer follows very few accounts him-/herself, this can negatively impact popular influencers’ likeability. Also, cooperating with influencers with high numbers of followers might not be the best marketing choice for promoting divergent products, as this decreases the brand's perceived uniqueness and consequently brand attitudes.     

员工流失研究

员工流失是企业在发展过程中不可回避的核心问题之一。造成员工流失既有员工自身因素、外部环境因素,也有企业方面的因素。企业应有针对性地调整策略、改善管理,减少员工流失,尤其是核心员工的流失,以更好地参与竞争并保持自身的竞争力。     

网络环境对图书馆工作的影响

网络环境的形成给图书馆的馆藏结构、业务工作、文献信息服务等方面带来巨大影响,并对图书馆工作起到重大推动作用。