This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria hav...This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria have made concerted efforts towards improving the standard of living of the citizenry through the execution of various welfare or social intervention programmes,but not much successes were recorded.Learning from the mistakes of the past regimes,and by way of deliberate state policy,the Buhari’s government initiated a multi-pronged social investment policy,one of which is the N-power programme that came onboard in 2016,which also doubles as the subject of this study.To achieve the goal of this study,a combination of desktop research and survey design was employed.Questionnaires were administered to 390 respondents through a combination of stratified and random sampling techniques.The results of the survey were matched with that of the secondary data obtained through online websites and other related sources.The result indicated that N-Power made positive contributions to the socio-economic life of the beneficiaries in Benue State:specifically,the scheme contributed in poverty eradication,employment generation,skills acquisitions and capacity building.However,some aspect of our findings revealed that the programme has a number of challenges such as:inadequate cash support,delay in monthly cash transfer to beneficiaries,distance participants had to move to their work stations,absence of posting in N-Teach scheme,and lack of adequate working tools amongst others.To salvage this problem the paper recommended the following solutions:expansion of the scheme to cover N-Teach and other aspects,increment in the monthly cash transfer to cushion the high rate of inflation,support for the participants/beneficiaries in transportation and logistics,enrolment of more youth into the various schemes,proper monitoring and evaluation of the implementation of the schemes amongst others.展开更多
India,despite being a leading space-faring nation,and operating one of the six largest space programmes in the world,has developed little in terms of expressly documented national space policy over its 58-year history...India,despite being a leading space-faring nation,and operating one of the six largest space programmes in the world,has developed little in terms of expressly documented national space policy over its 58-year history of space activity-besides two standalone policy documents primarily designed to address some operational policy issues pertaining to satellite communication services and use of remote sensing data.However,the Indian space programme,given its phenomenal technological advancements and operational maturity achieved over the decades,clearly exhibits evidence of having been continually and consistently guided,since its very inception,by a cohesive and consistent policy so far as its directional and strategic policy aspects are concerned.In other words,there does exist an apparent undeclared policy embedded in the Indian space establishment that has continued to inform and guide its strategic decisions and actions.The objective of the present case-study is to systematically describe the evolution of the national space policy of India,predominantly as implicit policy,as reflected by the key decisions and actions of the Indian national space establishment since beginning of the Indian space programme.This analysis strives to identify the directional and the strategic elements of policy as reflected by the decisions and actions of the space establishment,and the socio-economic,technological,political and institutional factors that have influenced such policies.展开更多
目的:评估2011—2020年四川省结核病防治经费投入产生的社会效益,为制定新时期中长期发展规划提供参考依据。方法:采用回顾性研究方法,从“结核病管理信息系统”和“传染病监测”系统中收集四川省2011—2020年(“十二五”和“十三五”期...目的:评估2011—2020年四川省结核病防治经费投入产生的社会效益,为制定新时期中长期发展规划提供参考依据。方法:采用回顾性研究方法,从“结核病管理信息系统”和“传染病监测”系统中收集四川省2011—2020年(“十二五”和“十三五”期间)涂阳肺结核患者治疗转归情况和肺结核患者劳动人口比例,结合四川省统计年鉴和全国结核病防治规划终期评估规划自评调查表等获取经费资料和人均国内生产总值(GDP),采用卫生经济学中常用的成本-效果、成本-效用、成本-效益等3种分析方法估算10年间结核病防治经费投入的社会效果、社会效用和社会效益,并对比分析“十二五”和“十三五”期间的估算结果。结果:2011—2020年,四川省共投入结核病防治经费76032.60万元,成功治疗涂阳肺结核患者160167例,避免了696899名健康人受到传染,挽救了1155277个伤残调整寿命年(disability adjusted life year,DALY),为社会节约医疗费用6.05亿元,挽回社会经济损失约370.32亿元。每投入1091.01元即可避免1名健康人被传染,每投入658.13元即可挽回1个DALY,每投入1元即可产生49.50元的社会经济效益。“十三五”期间带来的总社会效益(209.22亿元)较“十二五”期间(167.14亿元)增长了25.18%[(209.22-167.14)/167.14],但政府每投入1元的结核病防治经费产生的社会效益(47.56元)较“十二五”期间(52.17元)减少了4.61元。结论:2011—2020年间各级政府和国际项目对四川省结核病防控工作投入的经费产生了较好的社会效果、效用和效益。建议在保持目前经费投入力度的基础上,各级政府进一步加大投入,尤其对病原学阳性肺结核患者的发现和治疗管理力度,以期产生更高的社会效益。展开更多
To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely acc...To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely accepted and practiced by many people such as academicians, politicians, and donor organizations. However, though the development of HDI has gone through many revisions since its formulation in 1990, even the current version of the index formulation published in 2016 needs research to better understand and to gap-fill the knowledge base that can enhance the index formulation to facilitate the direction of attention such as release of funds. Therefore, in this paper, based on principal component analysis and K-means clustering algorithm, the data that reflect the measures of life expectancy index (LEI), education index (EI), and income index (II) are analyzed to categorize and to rank the member states of the UN using R statistical software package, an open source extensible programming language for statistical computing and graphics. The outcome of the study shows that the proportion of total eigen value (i.e., proportion of total variance) explained by PCA-1 (i.e., first principal component) accounts for more than 85% of the total variation. Moreover, the proportion of total eigen value explained by PCA-1 increases with time (i.e., yearly) though the amount of increase with time is not significant. However, the proportions of total eigen value explained by PCA-2 and PCA-3 decrease with time. Therefore, the loss of information in choosing PCA-1 to represent the chosen explanatory variables (i.e., LEI, EI, and II) may diminish with time if the trend of increasing pattern of proportion of total eigen value explained by PCA-1 with time continues in the future as well. On the other hand, the correlation between EI and PCA-1 increases with time although the magnitude of increase is not that significant. This same trend is observed in II as well. However, in contrast to these observations, the correlation between PCA-1 and LEI decreases with time. These findings imply that the contributions of EI and II to PCA-1 increase with time, but the contribution of LEI to PCA-1 decreases with time. On top of these, as per Hopkins statistic, the clusterability of the information conveyed by PCA-1 alone is far better than the clusterability of the information conveyed by PCA scores (i.e., PCA-1, PCA-2, and PCA-3) and the explanatory variables. Therefore, choosing PCA-1 to represent the chosen explanatory variables is becoming more concrete.展开更多
文摘This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria have made concerted efforts towards improving the standard of living of the citizenry through the execution of various welfare or social intervention programmes,but not much successes were recorded.Learning from the mistakes of the past regimes,and by way of deliberate state policy,the Buhari’s government initiated a multi-pronged social investment policy,one of which is the N-power programme that came onboard in 2016,which also doubles as the subject of this study.To achieve the goal of this study,a combination of desktop research and survey design was employed.Questionnaires were administered to 390 respondents through a combination of stratified and random sampling techniques.The results of the survey were matched with that of the secondary data obtained through online websites and other related sources.The result indicated that N-Power made positive contributions to the socio-economic life of the beneficiaries in Benue State:specifically,the scheme contributed in poverty eradication,employment generation,skills acquisitions and capacity building.However,some aspect of our findings revealed that the programme has a number of challenges such as:inadequate cash support,delay in monthly cash transfer to beneficiaries,distance participants had to move to their work stations,absence of posting in N-Teach scheme,and lack of adequate working tools amongst others.To salvage this problem the paper recommended the following solutions:expansion of the scheme to cover N-Teach and other aspects,increment in the monthly cash transfer to cushion the high rate of inflation,support for the participants/beneficiaries in transportation and logistics,enrolment of more youth into the various schemes,proper monitoring and evaluation of the implementation of the schemes amongst others.
文摘India,despite being a leading space-faring nation,and operating one of the six largest space programmes in the world,has developed little in terms of expressly documented national space policy over its 58-year history of space activity-besides two standalone policy documents primarily designed to address some operational policy issues pertaining to satellite communication services and use of remote sensing data.However,the Indian space programme,given its phenomenal technological advancements and operational maturity achieved over the decades,clearly exhibits evidence of having been continually and consistently guided,since its very inception,by a cohesive and consistent policy so far as its directional and strategic policy aspects are concerned.In other words,there does exist an apparent undeclared policy embedded in the Indian space establishment that has continued to inform and guide its strategic decisions and actions.The objective of the present case-study is to systematically describe the evolution of the national space policy of India,predominantly as implicit policy,as reflected by the key decisions and actions of the Indian national space establishment since beginning of the Indian space programme.This analysis strives to identify the directional and the strategic elements of policy as reflected by the decisions and actions of the space establishment,and the socio-economic,technological,political and institutional factors that have influenced such policies.
文摘目的:评估2011—2020年四川省结核病防治经费投入产生的社会效益,为制定新时期中长期发展规划提供参考依据。方法:采用回顾性研究方法,从“结核病管理信息系统”和“传染病监测”系统中收集四川省2011—2020年(“十二五”和“十三五”期间)涂阳肺结核患者治疗转归情况和肺结核患者劳动人口比例,结合四川省统计年鉴和全国结核病防治规划终期评估规划自评调查表等获取经费资料和人均国内生产总值(GDP),采用卫生经济学中常用的成本-效果、成本-效用、成本-效益等3种分析方法估算10年间结核病防治经费投入的社会效果、社会效用和社会效益,并对比分析“十二五”和“十三五”期间的估算结果。结果:2011—2020年,四川省共投入结核病防治经费76032.60万元,成功治疗涂阳肺结核患者160167例,避免了696899名健康人受到传染,挽救了1155277个伤残调整寿命年(disability adjusted life year,DALY),为社会节约医疗费用6.05亿元,挽回社会经济损失约370.32亿元。每投入1091.01元即可避免1名健康人被传染,每投入658.13元即可挽回1个DALY,每投入1元即可产生49.50元的社会经济效益。“十三五”期间带来的总社会效益(209.22亿元)较“十二五”期间(167.14亿元)增长了25.18%[(209.22-167.14)/167.14],但政府每投入1元的结核病防治经费产生的社会效益(47.56元)较“十二五”期间(52.17元)减少了4.61元。结论:2011—2020年间各级政府和国际项目对四川省结核病防控工作投入的经费产生了较好的社会效果、效用和效益。建议在保持目前经费投入力度的基础上,各级政府进一步加大投入,尤其对病原学阳性肺结核患者的发现和治疗管理力度,以期产生更高的社会效益。
文摘To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely accepted and practiced by many people such as academicians, politicians, and donor organizations. However, though the development of HDI has gone through many revisions since its formulation in 1990, even the current version of the index formulation published in 2016 needs research to better understand and to gap-fill the knowledge base that can enhance the index formulation to facilitate the direction of attention such as release of funds. Therefore, in this paper, based on principal component analysis and K-means clustering algorithm, the data that reflect the measures of life expectancy index (LEI), education index (EI), and income index (II) are analyzed to categorize and to rank the member states of the UN using R statistical software package, an open source extensible programming language for statistical computing and graphics. The outcome of the study shows that the proportion of total eigen value (i.e., proportion of total variance) explained by PCA-1 (i.e., first principal component) accounts for more than 85% of the total variation. Moreover, the proportion of total eigen value explained by PCA-1 increases with time (i.e., yearly) though the amount of increase with time is not significant. However, the proportions of total eigen value explained by PCA-2 and PCA-3 decrease with time. Therefore, the loss of information in choosing PCA-1 to represent the chosen explanatory variables (i.e., LEI, EI, and II) may diminish with time if the trend of increasing pattern of proportion of total eigen value explained by PCA-1 with time continues in the future as well. On the other hand, the correlation between EI and PCA-1 increases with time although the magnitude of increase is not that significant. This same trend is observed in II as well. However, in contrast to these observations, the correlation between PCA-1 and LEI decreases with time. These findings imply that the contributions of EI and II to PCA-1 increase with time, but the contribution of LEI to PCA-1 decreases with time. On top of these, as per Hopkins statistic, the clusterability of the information conveyed by PCA-1 alone is far better than the clusterability of the information conveyed by PCA scores (i.e., PCA-1, PCA-2, and PCA-3) and the explanatory variables. Therefore, choosing PCA-1 to represent the chosen explanatory variables is becoming more concrete.
