Hungarian Statistical Review最新文献_第2页

Early childhood and primary education efficiency in Europe: a data envelopment analysis approach 欧洲幼儿和初等教育效率:数据包络分析方法

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2020.01.en018

B. Dima, Balázs Kotosz, S. Dima

引用次数: 1

Population dynamics and economic growth in Kenya 肯尼亚的人口动态和经济增长

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2021.02.en018

Isaiah Juma Maket

{"title":"Population dynamics and economic growth in Kenya","authors":"Isaiah Juma Maket","doi":"10.35618/hsr2021.02.en018","DOIUrl":"https://doi.org/10.35618/hsr2021.02.en018","url":null,"abstract":"Since the publication of the Malthusian population principle, the overall impact of population change on economic growth has provoked huge debates that have challenged pessimistic and optimistic postulations. Pessimists’ research posits that population growth puts a strain on government services. Conversely, optimists agree that population increase is a key component of economic growth through expanded specialisation and increased labour resources. Considering these conflicts in the literature, the Malthusian population principle and the partial least square structural equation model (PLS-SEM) are used by the author to assess the impact of population dynamics on economic growth in Kenya by incorporating the effects of education and health expenditures. The results show that population dynamics influence economic growth both directly and indirectly, with their indirect impact reinforcing the pessimistic argument that an increase in population dynamics growth has a negative effect on economic growth. Without doubt, the Kenyan working population has high health- and education-related needs, which is causing a slowdown in economic growth. The study suggests that state agencies develop and implement various policy programs focusing on public health and active involvement of the population in economic activities.","PeriodicalId":119089,"journal":{"name":"Hungarian Statistical Review","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122592031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis of the Hungarian insurance sector’s gross value added from 2003 to 2017 2003 - 2017年匈牙利保险业总增加值分析

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2019.02.en079

Klaudia Máté-Bella, Ildikó Ritzl-Kazimir

引用次数: 1

Extrapolative techniques’ predictive capacity in the spatial downscaling of the Hungarian gross domestic product 外推技术在匈牙利国内生产总值空间降尺度中的预测能力

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2019.02.en051

Zsuzsanna Zsibók

{"title":"Extrapolative techniques’ predictive capacity in the spatial downscaling of the Hungarian gross domestic product","authors":"Zsuzsanna Zsibók","doi":"10.35618/hsr2019.02.en051","DOIUrl":"https://doi.org/10.35618/hsr2019.02.en051","url":null,"abstract":"The dynamics of GDP (gross domestic product) and its spatial distribution are constantly at the forefront of economic and regional studies. This study intends to understand better Hungarian subnational economic processes by checking the predictive capacity of various extrapolative forecasting techniques with out-of-sample testing. The author focuses on a top-down projection method that allocates regional GDP based on an existing, external, national-level, long-term projection. GDP is analysed in its aggregate value and in a decomposition followed in the growth accounting literature. The main question of the out-of-sample tests is the level of usefulness of historical nationaland regional-level data in predicting Hungarian regional-level GDP in the long run. The author proposes a specific weighting scheme that combines past regional-level growth rates and predicted national-level growth rates to arrive at different regional-level predictions. She concludes that during the relatively short test period, the average historical inter-regional distribution did not have a determining role in predicting future regional GDP values. The nationallevel growth processes largely explain regional-level GDP, and the use of certain combinations of past regional-level growth rates and predicted national-level growth rates are recommended to project regional GDP in the long run.","PeriodicalId":119089,"journal":{"name":"Hungarian Statistical Review","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124241955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Statistical analysis of antifragility in Hungarian ice hockey games 匈牙利冰球比赛反脆弱性的统计分析

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2022.01.en075

Gergely Géczi, Zoltán Baracskai

引用次数: 0

Comparing different ranking functions for solving fuzzy linear programming problems with fuzzy cost coefficients 比较求解具有模糊代价系数的模糊线性规划问题的不同排序函数

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2021.02.en003

Betsabé Pérez Pérez Garrido, Szabolcs Szilárd Sebrek, V. Semenova

引用次数: 3

Review of the REBLUP method for estimating variance components under the nested error model 回顾了在嵌套误差模型下估计方差分量的REBLUP方法

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/HSR2019.01.EN090

Betsabé Pérez Pérez Garrido, Szabolcs Szilárd Sebrek

引用次数: 0

Macro-level road network evaluation by fuzzy signature rule bases 基于模糊签名规则库的宏观路网评价

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2021.01.en003

G. Mikulai, L. Kóczy

{"title":"Macro-level road network evaluation by fuzzy signature rule bases","authors":"G. Mikulai, L. Kóczy","doi":"10.35618/hsr2021.01.en003","DOIUrl":"https://doi.org/10.35618/hsr2021.01.en003","url":null,"abstract":"In our fast-growing world, we need to create increasingly efficient systems to ensure further growth and sustainability. This also applies to transportation, where a key limitation is the bottle-necks of road network capacity. To eliminate, or at least, to moderate these bottlenecks, they must first be localised. In this case study, a model is proposed to objectively identify the weak points of the road infrastructure in the Western Hungarian region, a typical part of the Hungarian road net-work, based on automated data input. This way, there is no need to visually analyse the road net-work on site, but it is possible to evaluate the available information and suggest efficient measures from the distance. The model is suitable for general application, meaning it can serve other regions or countries as well, and enables macro-level decision-makers to take steps to eliminate those weak points. A fuzzy signature rule base is applied by the authors, which systematically maps and models the various attributes of the road network. The model currently contains more than 20 independent variables as inputs, but they can be easily expanded or replaced if further inputs need to be included.","PeriodicalId":119089,"journal":{"name":"Hungarian Statistical Review","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116418984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evidence for a second-order latent construct of self-directed learning readiness in virtual teams in Hungary 匈牙利虚拟团队中自主学习准备的二阶潜在构念的证据

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2022.01.en029

Krisztina Kupa, L. Komlosi, Miklós Szerdahelyi

引用次数: 0

Development of a pre-census database and computer-assisted methodology for conducting the 2021 census in the Republic of North Macedonia 开发人口普查前数据库和计算机辅助方法，以便在北马其顿共和国开展2021年人口普查

Hungarian Statistical Review Pub Date : 1900-01-01 DOI: 10.35618/hsr2020.01.en046

J. Krsteski

{"title":"Development of a pre-census database and computer-assisted methodology for conducting the 2021 census in the Republic of North Macedonia","authors":"J. Krsteski","doi":"10.35618/hsr2020.01.en046","DOIUrl":"https://doi.org/10.35618/hsr2020.01.en046","url":null,"abstract":"The next census in the Republic of North Macedonia is scheduled for 2021; its reference date is set for midnight, 31 March. The census will be conducted using a combined method, with data obtained from several administrative data sources. A working group was established to identify all state institutions with databases of interest to the census and to visit those institutions to investigate the use of each database. An initial assessment of the data sources was undertaken, according to a set of criteria that evaluated the form, characteristics and manner of updating of the available datasets. The databases of six institutions were selected, together with the databases of the statistical surveys conducted by the State Statistical Office of the Republic of North Macedonia: 1 . Ministry of Interior as the holder of the Citizens Register, 2 . Pension and Disability Insurance Fund whose database contains data on all pensioners and employees, 3 . Employment Service Agency with a database on both the employed and unemployed (job seekers), 4 . Ministry of Labour and Social Policy (having data on social transfers as a source of income), 5 . Ministry of Education and Science as the holder of the registers of pupils and students in primary and secondary schools, and 6 . Public Revenue Office.","PeriodicalId":119089,"journal":{"name":"Hungarian Statistical Review","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131140122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0