scholarly journals Resource rents and inclusive human development in developing countries

2021 ◽  
Vol 74 ◽  
pp. 102382
Author(s):  
Tii N. Nchofoung ◽  
Elvis Dze Achuo ◽  
Simplice A. Asongu
2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.


2012 ◽  
Vol 16 (10) ◽  
pp. 3791-3816 ◽  
Author(s):  
C. Dondeynaz ◽  
C. Carmona Moreno ◽  
J. J. Céspedes Lorente

Abstract. The "Integrated Water Resources Management" principle was formally laid down at the International Conference on Water and Sustainable development in Dublin 1992. One of the main results of this conference is that improving Water and Sanitation Services (WSS), being a complex and interdisciplinary issue, passes through collaboration and coordination of different sectors (environment, health, economic activities, governance, and international cooperation). These sectors influence or are influenced by the access to WSS. The understanding of these interrelations appears as crucial for decision makers in the water sector. In this framework, the Joint Research Centre (JRC) of the European Commission (EC) has developed a new database (WatSan4Dev database) containing 42 indicators (called variables in this paper) from environmental, socio-economic, governance and financial aid flows data in developing countries. This paper describes the development of the WatSan4Dev dataset, the statistical processes needed to improve the data quality, and finally, the analysis to verify the database coherence is presented. Based on 25 relevant variables, the relationships between variables are described and organised into five factors (HDP – Human Development against Poverty, AP – Human Activity Pressure on water resources, WR – Water Resources, ODA – Official Development Aid, CEC – Country Environmental Concern). Linear regression methods are used to identify key variables having influence on water supply and sanitation. First analysis indicates that the informal urbanisation development is an important factor negatively influencing the percentage of the population having access to WSS. Health, and in particular children's health, benefits from the improvement of WSS. Irrigation is also enhancing Water Supply service thanks to multi-purpose infrastructure. Five country profiles are also created to deeper understand and synthetize the amount of information gathered. This new classification of countries is useful in identifying countries with a less advanced position and weaknesses to be tackled. The relevance of indicators gathered to represent environmental and water resources state is questioned in the discussion section. The paper concludes with the necessity to increase the reliability of current indicators and calls for further research on specific indicators, in particular on water quality at national scale, in order to better include environmental state in analysis to WSS.


2020 ◽  
Vol 12 (5) ◽  
pp. 2089 ◽  
Author(s):  
Emilie Le Caous ◽  
Fenghueih Huarng

According to the United Nations Development Program, sustainable development goals are fundamental for attaining a better and more sustainable future for all of us, and are a primary concern today. New indicators, such as the Economic Complexity Index (i.e., ECI), can be used to predict human development index (i.e., HDI). To be defined as a complex economy, a country, through a vast network of individuals, should be able to interlink extensive quantities of relevant knowledge to create diversified products. Political, cultural, and environmental factors should also be included in this model to improve the measurement of human development. This paper aimed to study the relationship between the ECI and HDI and the mediating effects of income inequality among developing countries. Hierarchical linear modeling was used as a statistical tool to analyze 87 developing countries from 1990 to 2017, which also studied the country-level effects of gender inequality and energy consumption. Different year lags were used for more robustness. The results show that human development increased with higher economic complexity. This relationship was, however, partially mediated by income inequality. Country-level predictors, gender inequality, and energy consumption also impacted sustainable development. Finally, it is essential to note that this model cannot be applied to developed economies.


Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5776
Author(s):  
Rashiqa Abdul Salam ◽  
Khuram Pervez Amber ◽  
Naeem Iqbal Ratyal ◽  
Mehboob Alam ◽  
Naveed Akram ◽  
...  

India, Pakistan, and Bangladesh (IPB) are the largest South Asian countries in terms of land area, gross domestic product (GDP), and population. The growth in these countries is impacted by inadequate renewable energy policy and implementation over the years, resulting in slow progress towards human development and economic sustainability. These developing countries are blessed with huge potential for renewable energy resources; however, they still heavily rely on fossil fuels (93%). IPB is a major contributor to the total energy consumption of the world and its most energy-intensive building sector (India 47%, Pakistan 55% and Bangladesh 55%) displays inadequate energy performance. This paper comprehensively reviews the energy mix and consumption in IPB with special emphasis on current policies and its impact on economic and human development. The main performance indicators have been critically analyzed for the period 1970–2017. The strength of this paper is a broad overview on energy and development of energy integration in major South Asian countries. Furthermore, it presents a broad deepening on the main sector of energy consumption, i.e., the building sector. The paper also particularly analyzes the existing buildings energy efficiency codes and policies, with specific long-term recommendations to improve average energy consumption per person. The study also examines the technical and regulatory barriers and recommends specific measures to adapt renewable technologies, with special attention to policies affecting energy consumption. The analysis and results are general and can be applied to other developing countries of the world.


2015 ◽  
Vol 28 (1) ◽  
pp. 1018-1033 ◽  
Author(s):  
Ioannis Filippidis ◽  
Constantinos Katrakilidis

2012 ◽  
Vol 16 (3) ◽  
pp. 238-258 ◽  
Author(s):  
Marc Ouimet

The current study contrasts and compares the role of socioeconomic factors that explain variations in the homicide rate for 165 countries in 2010. Regression analyses demonstrate that economic development (GNI), inequality (Gini), and poverty (excess infant mortality) are significant predictors of the homicide rate for all countries. However, subsample analyses shows that income inequality, not economic development or poverty, predicts homicide for countries with a medium level of human development. Also, the variations in homicide for developing countries are inadequately explained by our model. To conclude, an analysis of the countries that exhibited significant discrepancies between their predicted and observed homicide rate is discussed.


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