cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/nida.the.2020.5
title: Critical determinants of gender inequality from five different perspectives

description: Gender inequality (GI) still prevails due to multi-faceted reasons. Therefore, multi-dimensional approaches to examine the root-causes of GI are necessary. In this regard, with the adoption of multi-perspectives and multi-level analyses, i.e. macro- vs. micro-analysis (OECD membership, gender, and regions), the study aims to find out the key determinants affecting GI in five different models, comprised of 17 socio-economic and institutional determinants: the capability-related model (CRM), the livelihood-related model (LRM), the formal institution-related model (FIRM), the informal institution-related model (IIRM), and the power distance model (PDM). The models drew upon related theoretical bases: neoclassical growth theory and convergence theory for the CRM
description: human capital theory for the LRM
description: cultural theory for the IIRM and PDM
description: and new institutionalism for the FIRM. The study utilised secondary data from 34 countries (18 OECD countries and 16 non-OECD countries). All of the data followed by OECD membership, gender, and regions were tested using regression analyses in order to compare the different impacts from various dimensions. The research findings indicated that all of the factors from the CRM, LRM, FIRM, and PDM and one factor from the IIRM (the perception that men make a better boss than women) had impacts on the macro-level analyses. As for the micro-level analyses, 16 factors other than “perception of income” of the IIRM influenced GI. Among the five models, the CRM (fertility rates) affected inequality the most. Meanwhile, the LRM (percentage of wage and salaried workers) turned out to highly significantly affect all categories. The significance of the study is that little research has been carried out on a cross-country level by introducing multi-level and multi-perspective approaches. Three policy recommendations based on the results are suggested: reforming gender-related policies reflecting dominant gender-related issues
description: designing economic policy to improve gender equality
description: and mainstreaming gender issues.
DOI: 10.14457/nida.the.2020.8
title: Fiscal decentralization, local government performance, and inclusive growth

description: This research studies the impacts of fiscal decentralization on local government performance and inclusive growth. The unit of analysis was 76 provinces in Thailand (all provinces with the exception of Bueng Kan), and the research period was 2010 to 2017. The analysis of the economic growth model indicates that fiscal decentralization, excluding grants had a negative relationship with economic growth with no statistical significance, while fiscal decentralization, including grants had a positive relationship with economic growth with no statistical significance. However, local government performance had a positive statistically significant relationship with economic growth. The research results are used to develop policy recommendations on balancing revenue and expenditure decentralization of local government organizations and to increase the efficiency of human resources and utilities in order to achieve economic growth.In addition, the research finds that grants allocated to local government organizations help to increase income distribution equality and reduce the number of poor. Moreover, increased per capita income is a key factor in reducing the number of poor people but this has no effect on income distribution equality. The policy recommendations on fiscal decentralization are made based on the research results, including those on improving local tax collection to be more fair and equitable and determine the criteria for the allocation of grants to local government organizations by focusing on poverty alleviation and income distribution equality.
DOI: 10.14457/nida.the.2016.4
title: Innovative leadership affecting organizational performance through organizational culture, strategy of the medium enterprises

description: This research aims to 1) study the level of innovative leadership andorganizational performance of the medium enterprises, 2) study the relationship amonginnovative leadership, organizational culture, and strategy that affect organizationalperformance of the medium enterprises, and 3) establish and validate the consistency ofthe causal model of the innovative leadership that affects organizational culture,strategy, and organizational performance of the medium enterprises, which has beendeveloped with empirical data. Samples consist of 303 medium enterprises categorizedin (1) 61 retail and wholesale businesses, (2) 103 service businesses, and (3) 139manufacturing businesses, which are listed in the Office of Small and MediumEnterprises Promotion database. Research findings indicate that 1) the level ofinnovative leadership and organizational performance of the medium enterprises ishigh, 2) innovative leadership, organizational culture, organizational strategy, andorganizational performance variables have the same direction correlation with relativelylow to relatively high degree of correlation, and 3) causal model of the innovativeleadership that affects organizational culture, organizational strategy, and organizationalperformance of the medium enterprises is consistent with the empirical data as follows,2= 51.88, df = 48, p = .32 GFI = .98, AGFI =.94. Organizational performancevariables receive direct effect with statistical significance of .01 from innovativeleadership, organizational culture, and organizational strategy variables with the effectsize of .37, .34, and .46, respectively
DOI: 10.14457/nida.the.2020.9
title: The analysis of the determinants that affect education expenditure in low income countries and lower middle income countries

description: This research has aimed to, 1) analyze key factors affecting primary education expenditures in low income countries and lower middle income countries, 2) analyze key factors affecting secondary education expenditures in low income countries and lower middle income countries, and 3) suggest policies regarding the allocation of education expenditures to poor areas and inequalities in education.The researcher mainly used quantitative research supported by documentary research. The unit of analysis was poor countries, as categorized according to Gross National Income per Capita from the World Bank using the Atlas method with GNI/Capita &lt; US$1,005 and GNI/Capita between US$1,006 - US$3,955. The sample used in this research encompassed 45 countries coming from the group of low income countries and lower middle income countries. Data collection used secondary data and data analysis by the Ordinary Least Square Method (OLS), which is an estimation of the regression coefficient with the significance set at 0.01, 0.05, and 0.10The results show that government revenue affected education expenditure at the primary level of low income countries and lower middle income countries at .01 statistical significance (β5 = 0.584458, p &lt; .01). Unemployment has redounded educational expenditure at the secondary level of the low income countries and lower middle income countries at .05 statistical significance (β2 = 0.908276, p &lt; .05). Moreover, a low rate of corruption affected education expenditure at the secondary level of low income countries and lower middle income countries at .10 statistical significance (β4 = 8.151520, p &lt; .10). As for recommendations on guidelines for governments, state income, such as taxes and other fees, should be allocated to poor families for receiving a thorough primary education. Moreover, skill enhancement, such as language and other professional skills, should be provided for secondary students to prepare them for the labor market. Lastly, the government should allocate as much budget to education as possible in order to use the education sector for truly developing the country.
DOI: 10.14457/nida.the.2020.10
title: The causal relationship of organizational effectiveness of logistics service providers in Thailand

description: This research is a study of the causal relationships of organizational effectiveness of logistics service providers in Thailand. The purpose of the study was 1) to study the causal relationships of transformational leadership, organizational culture, innovation climate and organizational effectiveness of logistics service providers in Thailand, and 2) to analyze and check the consistency of the causal relationships of transformational leadership, organizational culture, innovation climate and organizational effectiveness of logistics service providers in Thailand with empirical data.The samples were logistics service providers in both public and private organizations who have a staff of more than 9,000. There were three organizations representing the samples, providing 644 informants in total, who were from the management and staff of these three organizations. The variables used in this research were four latent variables: organizational effectiveness, transformational leadership, organizational culture and innovation climate. The data was collected by using questionnaires. Statistics which were used for analyzing the data included percentage, mean, standard deviation, path analysis and a check of consistency of the model of causal relationships of organizational effectiveness of logistics service providers using empirical data. The results from analyzing the data found that the model of causal relationships of organizational effectiveness of logistics service providers was consistent with the empirical data. Chi-square was 142.453, degree of freedom was 71, GFI was 0.970 and RMSEA was 0.044. Organizational effectiveness had the most direct effect from organizational culture, followed by transformational leadership and innovation climate. The effect size was 0.59, 0.48 and 0.19, respectively, with a significance level of 0.05. The variables in the model were able to explain the variance of organizational effectiveness of logistics service providers by 89.30 percent.
DOI: 10.14457/nida.the.2020.11
title: The study of public and private partnership in urban development as a smart city: a case study of light rail transit constructing project in Khon Kaen

description: A Study of Public and Private Partnership in Urban Development as a Smart City: A Case Study of the Light Rail Transit Constructing Project in Khon Kaen is aimed at: 1) studying and developing cooperation within urban development policies in a public private partnership model in Khon Kaen
description: 2) studying the public private partnership implemented in urban development in Khon Kaen
description: 3) studying the roles and operation of public private partnership in urban development in Khon Kaen
description: 4) studying the strengths, limitations, problems and threats to urban development in the public private partnership model
description: and 5) proposing policy-based suggestions to the government. This study involves a qualitative approach using interviews with relevant people in the public sector (regional government offices), private sector and five local administrative organizations based on observations and information obtained from documents which comprise the major tool for data collection.The findings indicate that this form of partnership has arisen because Khon Kaen City has realized various issues as a result of its rapid growth. Local administrative organizations and the people sector have, therefore, devised a concept of urban development by way of a Smart City by starting with the development of a mass transit system as its first priority. However, due to certain budgetary constraints related to construction, the private sector under the name of Khon Kaen City Development (KKTT) Co., Ltd. offered its support in pushing the Khon Kaen Urban Development Project. Initially, a budget was funded for driving the project. Thus, the Khon Kaen Urban Development Project was initiated from the bottom-up, which resulted in the cooperation of five local administrative organizations under the name of Khon Kaen Transit System Co., Ltd. (KKTS) and the private sector. However, pushing forward with the Khon Kaen Urban Development Project has made them face several problems and threats, a part of which may be related to insufficient decentralization.
DOI: 10.6084/m9.figshare.20174072
title: The Harvard Medical School Pathways curriculum: A comprehensive curricular evaluation

description: The Harvard Medical School Pathways curriculum represents a major reform effort. Our goals were to enhance reasoning and clinical skills and improve the learning environment and students’ approach to learning via use of collaborative, case-based pedagogy; early clinical exposure; and enhanced approaches to teaching and evaluating clinical skills. We evaluated the impact of Pathways on key outcomes related to these goals. In this prospective, mixed-methods study, we compared the last prior-curriculum cohort (2014 matriculation, <i>n</i> = 135) and first new-curriculum cohort (2015 matriculation, <i>n</i> = 135). Measures included Likert-type surveys, focus groups, and test scores to assess outcomes. Compared with prior-curriculum students, new-curriculum students reported higher mean preclerkship learning environment ratings (Educational Climate Inventory, 62.4 versus 51.9, <i>p</i> &lt; 0.0001) and greater satisfaction with the quality of their preclerkship education (88% versus 73%, <i>p</i> = 0.0007). Mean USMLE Step-1 and Step-2 scores did not differ between groups. At graduation, new-curriculum students rated their medical school experience higher in 6 of 7 domains, including ‘fostering a culture of curiosity and inquiry’ (4.3 versus 3.9, <i>p</i> = 0.006) and focus on ‘student-centered learning’ (3.9 versus 3.4, <i>p</i> = 0.002). The new curriculum outperformed or was equal to the prior one on most measures of learning environment and perceived quality of education, without a decline in medical knowledge or clinical skills. Robust longitudinal evaluation provided important feedback for ongoing curriculum improvement.
DOI: 10.5281/zenodo.6403863
title: Global forest reference set with time series annual change information

description: <strong>Brief introduction of the reference set:</strong> The initial sample points were stratified. The ratio of non-forest, forest and forest change stratum area is about 67:27:6. In order to increase the number of forest and forest change sample points, the ration of forest sample, forest change sample and non-forest sample points is roughly 4:1:1. The information of stratum identifier is provided in this sample set. The study generated 12925 initial sample points which were further reduced to 10339 points (6252 persisting forest sample points, 2049 change sample points and 2038 persisting non-forest sample points). The details are shown in Table 1. Table 1. Initial and finial sample size in each stratum <strong>Stratum name</strong> <strong>Percent area of each stratum</strong> <strong>Initial sample size</strong> <strong>Final sample size</strong> <strong>Eliminated sample size</strong> Forest 27% 8332 6252 1644 Non-forest 67% 1892 2038 207 Forest change 6% 2701 2049 735 Sum 100% 12925 10339 2586 The sample set will be provided in shapefile version. (The eliminated sample points will not be provided.) In this version, the provided attributions are shown in Table 2. Table 2. Details of provided attributions in this version <strong>Name</strong> <strong>Description</strong> per_f unchanged forest (0: No 1: Yes) per_nonf unchanged non-forest (0: No 1: Yes) change forest change (0: No 1: Yes) loss forest loss times gain forest gain times times change times (gain + loss) changeinfo year and order of change initial_s initial stratum identifier: change/perf (persisting forest)/nonf (persisting non-forest) This reference set will be updated regularly. Now it's version 1.1 (from 2000 to 2020). <strong>NOTES:</strong> Please be cautious while using the sample points with multiple change times. We encourage people to send us feedback if you found some mistakes while using this sample set via email. Welcome discussions around potential collaborations. 【You can email Jing (guoj15@tsinghua.org.cn).】 <strong>Citation:</strong> Please cite the dataset including the version number and the following paper when using this data: Jing Guo, Zhiliang Zhu & Peng Gong (2022) A global forest reference set with time series annual change information from 2000 to 2020, International Journal of Remote Sensing, 43:9, 3152-3162, DOI: 10.1080/01431161.2022.2088256
DOI: 10.5281/zenodo.5524258
title: Global forest reference set with time series annual change information

description: <strong>Brief introduction of the reference set:</strong> The initial sample points were stratified. The ratio of non-forest, forest and forest change stratum area is about 67:27:6. In order to increase the number of forest and forest change sample points, the ration of forest sample, forest change sample and non-forest sample points is roughly 4:1:1. The information of stratum identifier is provided in this sample set. The study generated 12925 initial sample points which were further reduced to 10339 points (6252 persisting forest sample points, 2049 change sample points and 2038 persisting non-forest sample points). The details are shown in Table 1. Table 1. Initial and finial sample size in each stratum <strong>Stratum name</strong> <strong>Percent area of each stratum</strong> <strong>Initial sample size</strong> <strong>Final sample size</strong> <strong>Eliminated sample size</strong> Forest 27% 8332 6252 1644 Non-forest 67% 1892 2038 207 Forest change 6% 2701 2049 735 Sum 100% 12925 10339 2586 The sample set will be provided in shapefile version. (The eliminated sample points will not be provided.) In this version, the provided attributions are shown in Table 2. Table 2. Details of provided attributions in this version <strong>Name</strong> <strong>Description</strong> per_f unchanged forest (0: No 1: Yes) per_nonf unchanged non-forest (0: No 1: Yes) change forest change (0: No 1: Yes) loss forest loss times gain forest gain times times change times (gain + loss) changeinfo year and order of change initial_s initial stratum identifier: change/perf (persisting forest)/nonf (persisting non-forest) This reference set will be updated regularly. Now it's version 1.1 (from 2000 to 2020). <strong>NOTES:</strong> Please be cautious while using the sample points with multiple change times. We encourage people to send us feedback if you found some mistakes while using this sample set via email. Welcome discussions around potential collaborations. 【You can email Jing (guoj15@tsinghua.org.cn).】 <strong>Citation:</strong> Please cite the dataset including the version number and the following paper when using this data: Jing Guo, Zhiliang Zhu & Peng Gong (2022) A global forest reference set with time series annual change information from 2000 to 2020, International Journal of Remote Sensing, 43:9, 3152-3162, DOI: 10.1080/01431161.2022.2088256
DOI: 10.15121/1874040
title: Hawaii Play Fairway Analysis: Lanai Resistivity and Density 3D Inversion Models

description: To prepare for its third phase, the Hawaii Play Fairway project conducted groundwater sampling and analyses in ten locations in the Hawaiian islands, magnetotelluric (MT) and gravity surveys, as well as calculations of 3D subsurface stress due to the weight of the rock underlying the topography of the volcano. The subsurface stresses were used to evaluate the potential for fracture-induced permeability. Inversions of the MT and gravity data produce 3D models of resistivity and density, respectively, on Lanai, across Haleakala's SW rift (Maui), and surrounding Mauna Kea (Hawaii Island). The project developed and applied a new method for incorporating depth information about resistivity, density, and potential for fracture-induced permeability into the statistical method for computing resource probability in these three focus areas. The project then incorporated the new groundwater results with the new geophysical results and the calculations of potential for fracture-induced permeability to produce updated maps of resource probability and confidence. These results were used to identify target sites for exploratory drilling. Spreadsheet information: Each sheet contains data for a particular depth in kilometers. Positive depths are above sea level, and negative below. For more information, go to the Hawaii Groundwater and Geothermal Resources Center website linked in the resources.
DOI: 10.3886/e172301v1
title: Companion Files for Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

description: This repository includes all companion files (syntax, data files, etc.) for the open textbook, Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys. This textbook was developed based on a need to develop open education resources to train future public health professionals how to conduct applied data analysis using secondary national health surveys. A recent study of local health departments demonstrates that MPH graduates may not be prepared for analytical/assessment competencies, including a lack of knowledge, skills and abilities for data collection, database management, data cleaning, quantitative data analysis/statistics, and data analysis using SAS statistical software. A lack of MPH program course offerings and structured curriculum materials available for developing applied data analysis courses may contribute to the limited analytical/assessment competencies among recent graduates. <br><br>The open textbook includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance Survey (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). <br><br>This data repository includes accompanying SAS syntax and data files for:<br>Chapter 4 Basic Data AnalysisChapter 5 Complex Survey Design FeaturesChapter 6 National Health Interview Survey (NHIS)Chapter 7 Medical Expenditure Panel Survey (MEPS)Chapter 8 Health Information National Trends Survey (HINTS)Chapter 9 Behavioral Risk Factor Surveillance System (BRFSS)Chapter 10 National Health and Nutrition Examination Survey (NHANES)
DOI: 10.6084/m9.figshare.17790317
title: Adapted Work Placement Delivery Method under COVID-19 Towards Students’ Job Preparatory Behaviours

description: These data consist of codes report, transcriptions of interviews with accounting students and the head of accounting department, and the work placement guidebook document.
DOI: 10.6084/m9.figshare.17790317.v2
title: Adapted Work Placement Delivery Method under COVID-19 Towards Students’ Job Preparatory Behaviours

description: These data consist of codes report, transcriptions of interviews with accounting students and the head of accounting department, and the work placement guidebook document.
DOI: 10.6084/m9.figshare.17790317.v1
title: New Delivery Method for Work Placement during the COVID-19 Pandemic Towards Students’ Preparatory Job Search Behaviours

description: These data consist of codes report, transcriptions of interviews with accounting students and the head of accounting programme, and the work placement guidebook document.
DOI: 10.34740/kaggle/dsv/3877224
title: BBC News