scholarly journals Household human development index and measurement: a study of Muslims in Kashmir

2016 ◽  
Vol 4 (1) ◽  
pp. 75
Author(s):  
Asif Naik ◽  
E. Selvarajan

Sustainable development of Muslims in India is one of the major challenges before the planners and policy makers particularly in the State of Jammu and Kashmir at a phase when India has registered growth in all spheres of life. Yet, the major question that still remains unanswered is as how far have the Muslims of Jammu and Kashmir benefited from the fruits of development (Naik 2013, 143-49). The answer particularly depends upon the ways through which development is conceived and measured. The development strategies must aim at the integration of the people of the region of Kashmir with rest of the country (Naik 2015, 614-616). The present paper attempts to measure human development of the Muslim households of Kashmir regions. Further, it attempts to examine the interrelationship among various indicators of HDI and will depict the extent of achievements of the surveyed villages ranking them as per their human development index adopted. It also suggests policy measures to improve HDI in the study region.

2020 ◽  
Vol 12 (8) ◽  
pp. 3251
Author(s):  
Hui Jin ◽  
Xinyi Qian ◽  
Tachia Chin ◽  
Hejie Zhang

In response to the UN 2030 Agenda for Sustainable Development, this paper proposes a new National Sustainable Development Index (NSDI), based on the modification of the Human Development Index (HDI). The purpose of our research was to improve the widely adopted HDI index by incorporating more comprehensive sustainability perspectives, so as to help policy makers to better analyze the sustainability-related issues facing their countries. After clarifying the concept of sustainable development, our research suggests that this term represents a coordination and configuration of economic, social, and environmental aspects of development, with its major focuses on balancing intra-generational welfare and maximizing the total welfare across generations. We then put forward a novel NSDI framework including 12 indicators from dimensions of economy, resource environment, and society, and calculated the weights of 12 indicators using the entropy method. To further validate our proposed index, this paper also measured the NSDIs of 163 countries in the world, and compared this index with the HDI and other well-known modification indices of HDI. The results showed that the NSDI is a reliable and relative complete index for sustainable development assessment, which makes up for the shortcomings of existing indices.


2013 ◽  
Vol 864-867 ◽  
pp. 1097-1100
Author(s):  
Fei Fei Tan ◽  
Zhao Hua Lu

This study evaluated the sustainability of Jing-Jin-Ji Region by exploiting as emergy tool for transforming the consumption to the land area appropriated, and analyzed the development level by attempting to integrate with human development index. The result showed that emergy energy footprint per capita in the Jing-Jin-Ji region has increased from from 5.6917 hm2to 10.5596 hm2within the past ten years at an average growth of 9.50% annually, appearing unsustainability. It was also demonstrated that the energy deficit , energy footprint itensify and energy pressure index were presented to depict severe insecurity of the ecological system. And the value of human development index in the region were higher than the corresponding nationwide average value, indicating a certain degree development of society and economy. The study would provide the foundation for regional sustainable development research in similar area.


2009 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Eny Haryati

Indonesian manpower (IM) is a term used to refer to the Indonesian migrants who work overseas. Although the exact number of the IM is not well recorded by the government of the Republic of Indonesia, the amount of the remittance the IM send home to their family is found to be quite significant. In 2005, the Minister of Manpower and Transmigration of the Republic of Indonesia declared that the amount of the IM’s remittance reached US$ 2.9 billion, which was much higher than the government’s expected amount (US$ 1.9 billion). This study found out that (1) the IM’s remittance affected the amount of the money spreading in the home district where the IM came from so that it enhanced the purchasing power of the people in the district towards the consumptive goods and services which, in turn, triggered the elevation of the prices of goods and services; (2) the IM’s remittance stimulated the traders or merchants to determine the goods and services pricing which was commonly called the expected inflation; (3) most of the remittance was spent for consumptive goods and services and only a little amount of it was spent for investment; and (4) the IM’s remittance was a factor that positively affected the increase of the human development index (HDI) in the IM’s home district. To effectively increase the effect of the remittance towards the HDI in the IW’s home district, a governmental policy that was oriented towards the development of the IM’s family potentials and attempted to change people’s behavior


2018 ◽  
Vol 27 (3) ◽  
pp. 448-460 ◽  
Author(s):  
David Castells‐Quintana ◽  
Vicente Royuela ◽  
Fabian Thiel

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2768 ◽  
Author(s):  
Alexei Yumashev ◽  
Beata Ślusarczyk ◽  
Sergey Kondrashev ◽  
Alexey Mikhaylov

The article explores the impact of the quality and volume of energy consumption of the population on the human development index using a sample of a number of countries as an example. The hypothesis concerning the relationship between the amount of energy consumed, the human development index (HDI), and the environment (CO2 emissions into the atmosphere) has been verified. The study results show that the size and rating of the HDI are influenced by such factors as urbanization growth, gross domestic product (GDP), gross national income (GNI) per capita, the share of “clean” energy consumption by the population and business in total energy consumption, the level of socio-economic development, and R&D expenses. In the course of building the model, the recommendations by the United Nations (UN) and the Organization for Economic Co-operation and Development (OECD) were used. The results show that the volume of energy consumption not only affects the human development index in a particular country, but is also an important factor in determining the level of sustainable development. The results, obtained in the course of the study and described in the article, may be applicable in the practice of research related to the assessment of human development and sustainable development.


2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Yunita Firdha Kyswantoro

Poverty is one of the goals of the concept of sustainable development. Sustainable Development itself has many indicators such as economic, social, cultural, environment, etc. But in this study, the authors take only a few factors from an economic point of view. Economic growth, open unemployment rate, regional imbalance rate and human development index are some factors that are considered to describe poverty level in East Java Province. This research uses Fixed Effect (FEM) model panel data regression in 38 regencies/cities in East Java Province in 2011-2015. The results of this study indicate that the variables of economic growth and open unemployment variables have no significant effect in describing the level of poverty in East Java. While the variable level of regionalimbalance and variable of HDI have the significant effect on poverty in East Java. Therefore, to achieve sustainable development goals (SDGs), the reduction of poverty in various regions requires a balance of social and economic, not only through the increase of high economic growth but must be accompanied with equitable distribution of income distribution so that the level of regional inequality is smaller and by improving the quality of resources human beings through Human Development Index (HDI) in each region.


Author(s):  
Rindang Ndaru Puspita

The Human Development Index (HDI) is one of the parameters of success in the development of the quality of human life, besides that at the regional level, the HDI is an indicator of the primary performance measurement and allocation of Regional Incentive Funds in promoting the welfare of the people in the area. In 2020 the Banten Province Human Development Index 72.45 only rose 0.01% compared to 2019, lower than the growth in 2019, which reached 0.68% and is still stuck in the high category (70≤HDI≤80), this indicates the progress of human development in Banten experienced a slowdown, In addition, when compared to the growth of the HDI-forming indicators in 2019, all components that make up the HDI experienced a slowdown in growth except for RLS which experienced growth acceleration of 0.33% from 1.39% in 2019 to 1.72% in 2020. So it is necessary to do a deeper analysis to determine the characteristics of the indicators that make up the HDI in the City as a contributor to the HDI value of the Banten Province so that efforts can be made to increase human development as evidence of improving the welfare of the people in the Banten Province. The K-Means Cluster method is used to group cities in Banten Province based on similar characteristics in terms of the HDI compiler indicators, including Life Expectancy at Birth, Expected Years of Schooling, and Average Length of School in, and Expenditure per Capita. Based on the results of the analysis obtained three clusters consisting of cities with similar characteristics in each cluster. Cluster 1 is a City with a low HDI indicator consisting of Pandeglang, Lebak, Serang. Cluster 2 is a City with a medium HDI indicator consisting of Tangerang, Cilegon, Serang City. Cluster 3 has a high HDI indicator consisting of Tangerang City and South Tangerang City. After obtaining City information based on the characteristics of each cluster, then the Banten Provincial government can provide direction and policies to each City in Clusters 1 and 2 to be able to develop activity programs with more attention to the HDI compiler indicators so that the Human Development Index in the City can increase


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