洪河自然保护区杨桦林植物多样性及保护

杨桦林是洪河自然保护区常见的次生林,在不同的立地条件下单独形成山杨或白桦纯林,也可二者混交形成杨桦林,为过渡林相,在有种源或人工引入红松的情况下,将逐渐恢复成地带性物红松针阔混交林,现存面积673．41hm^2,占林地面积的40％,组成植物153种,隶属于51科104属。     

中国的经济发展战略与地区收入差距

本文认为 ,当前中国大陆各省区市之间发展水平差距的主要原因在于 ,重工业优先发展的赶超战略下形成的生产要素存量配置结构 ,与许多省区市的要素禀赋结构决定的比较优势相违背 ,从而导致大量的赶超企业缺乏自生能力。基于各省区市的数据进行的实证研究与我们的假说相容。     

协同治理:黄河流域生态保护的实践路径

黄河流域生态保护和高质量发展是中国区域协调发展格局的重要组成部分,协同治理作为全面深化改革方法论的系统性、整体性、协同性核心逻辑之一,对于推动黄河流域生态保护和高质量发展具有重要意义。黄河流域各省(区)在协同推进黄河流域生态治理中开展了较多工作,但是仍然存在生态环境脆弱、流域治理碎片化及流域保护“多规不一”等问题。推进协同治理,主要包括流域治理模式的创新以及流域沟通和协调机制的创新,有助于推动黄河流域生态质量的提升。实践中应当加强顶层设计,推进协同监管,强化流域协商机制建设,完善流域治理体系,建立健全流域治理长效机制,从而提高黄河流域治理效能。     

国际儿童友好型城市建设路径及对北京的启示

在"建设儿童友好城市"被提上我国各级政府"十四五"发展规划和实践议程的背景下,首先对国际通用的儿童友好型城市概念、愿景、目标和实施战略进行简要提炼;其次,对全球参与儿童友好型城市倡议的国家构成、关注重点和建设过程进行梳理;第三,选取在儿童福利领域有突出表现的荷兰、加拿大、芬兰三个国家及内部城市作为典型案例,从营造健康的...     

Small sample behaviour of some nonparametric multi-sample location tests in the presence of dispersion differences

This paper describes the small and moderate sample behaviour of three studentized non-parametric statistics by Sen and a modified Wilcoxon statistic by Potthoff for testing the equality of location parameters in the presence of dispersion differences. Based on the agreement between the asymptotic and small sample distributions of the statistics as well as a comparison of their power under heteroscedasticity, the studentized Wilcoxon and the studentized Brown and Mood tests arc preferred in the two-sample and c-sample situations, respectively.     

Wiener滤波去噪算法的研究

本文简要介绍了Contourlet理论,基于NSCT的Wiener滤波去噪算法,无论是直观去看还是从PSNR来评定,均证明了该方法的有效性。     

论我国物流业法律法规的构建与完善

在分析我国现行物流业法律法规的现状与存在问题及中西方物流业法律法规的不同的基础上,提出了构建与完善我国物流业法律法规的一系列措施。     

Industry-region Position and Economic Performance of Travel and Tourism Service Industry: An Agglomeration Perspective

Numerous studies have attempted to examine industry performance from an agglomeration perspective. However, many are still focused on the manufacturing sector. This study examines the travel and tourism service industry's economic position using an agglomeration perspective and whether this relates to its economic performance. This study discovered that, apart from being related to its intra-region position relative to other industries within the region, the economic performance of an industry in a region is also related to its intra-industry position relative to other distributive regions within the industry and to its national geographical concentration. A more significant finding is that regardless of either the intra-industry or intra-region position of the industry in a region, enhancing agglomeration not only increases competition and profit erosion but also improves labour productivity. For employment creation, it is more effective to develop an industry with more uniform national geographical distribution.     

Accessing Tourists’ Unconscious Associations about International Destinations: Data Fuzzification of Reaction Times in the Implicit Association Test

Starting with the proposition that shorter reaction time implies stronger implicit preference, this study assesses destination-related top-of-mind awareness (TOMA) by examining respondent reaction time to specific destination icons. A total 87 college students were recruited to complete self-report surveys and computer-based implicit association tests (IAT). The results show that participants’ responses vary depending on the two measures (i.e., self-report surveys and IATs). Through a data fuzzification method, the study demonstrates that the IAT would enhance our understanding of tourist TOMA, particularly related to familiarity issues. The implications of the study pertain to destination marketing are fully discussed.     

Factors affecting hotel human resource demand in Taiwan

This study explores the factors affecting hotel human resource (HR) demand and focusing on the organizational, industrial and macroeconomic factors of the hospitality industry. A prediction model was built with eight independent variables and four dummy variables. Secondary data was collected via a governmental statistic database, and regression analysis was performed using the Generalized Least Squares (GLS) method. The results show that the HR demand of international tourist hotels is more likely to be affected by industrial factors and macroeconomic factors, while the HR demand of standard tourist hotels is less complex, and is mainly affected by organizational factors.