Access to Modern Energy Services and Human Development in India: Has Government Policies Paid Off?

Sadath, Anver C.; Acharya, Rajesh H.

doi:10.32479/ijeep.10949

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…The EDI is a comprehensive measure of energy poverty encompassing four key dimensions: per capita primary energy consumption, renewable energy consumption, access to electricity, and per capita electricity consumption. We have employed the max-min formula as used by Sadath and Acharya (2021) given below,…”

Section: Energy Development Indexmentioning

confidence: 99%

Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis

Sharif,

Khan

2023

IJEEP

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The United Nations' Sustainable Development Goals (SDGs) recognize energy poverty as a significant issue affecting developing and developed countries. Goal 7 of the Sustainable Development Goals (SDG 7) focuses on energy poverty (EP) and aims to achieve universal access to affordable, reliable, sustainable, and modern energy services by 2030. This study examines the relationship between energy poverty and educational attainments in Pakistan using time series data from 1990 to 2020. A multidimensional energy development index (EDI) is constructed to measure energy poverty. By employing robust econometric techniques such as the Johansen cointegration test, fully modified ordinary least square (FMOLS), canonical cointegration regression, and the generalized method of moments (GMM) estimation, this research uncovers empirical findings that offer valuable insights into the crucial role of energy poverty as a determinant of educational attainments. The findings of this study reveal that improvements in energy development (characterized by a decline in energy poverty) and real GDP per capita, significantly enhance school enrollments in Pakistan. Moreover, it is also observed that general poverty and a high pupil-teacher ratio negatively influence educational attainments. These results emphasize that inadequate access to and affordability of energy act as formidable barriers, impeding the educational journey of children and adolescents. These findings also highlight the urgent need to address energy poverty as a paramount policy concern to enhance development outcomes. Policies aimed at improving energy infrastructure and providing reliable and affordable energy sources are crucial to unlocking educational opportunities for more children and enabling them to embark on their educational journeys.

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Section: Energy Development Indexmentioning

confidence: 99%

Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis

Sharif,

Khan

2023

IJEEP

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“…Upon extensive analysis, only energy consumption and urbanization are shown to deteriorate the quality of environment indicated by the increment of CO 2 emission in the concerned regions. Sadath and Acharya (2021) explored the linkage between energy services and human development in India by approximating different indices, including human development, multidimensional energy poverty, and confidence. Upon analysis, their study depicts a clear negative correlation between the variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Impact of Causal Factors on Political Management to Determine Sustainability Policy under Environmental Law: Enriching the Covariance-based SEMxi Model

Sutthichaimethee

Jittawiriyanukoon

2022

IJEEP

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This research aims to develop a causal relationship model on political management for sustainability policy formation under Thai environmental law by applying the best and valid model with a non-spurious property called the Covariance-based on Structural Equation Model with exogenous variables (Covariance-based SEMxi Model). This newly-developed model is in distinction with any past models as it is made effectively applicable to any sectors across areas. The model can also be utilized to design a long-term forecasting model with the ability to determine appropriate future scenarios. When assessing the covariance-based SEMxi model performance, the mean absolute percentage error (MAPE) and the root mean square error (RMSE) are estimated at 1.19% and 1.30%, respectively, in comparison of other models, including Gray-Autoregressive Integrated Moving Average Model (GM-ARIMA), Gray Model (GM), Back Propagation Neural Network (BP), Artificial Neural Natural Model (ANN), and Multiple Regression Model (MR). As for the results, this research reveals a direct impact of economic factors on environmental and social factors. In the meanwhile, social factors have a direct impact on environmental and economic factors. The research also indicates a direct effect on the environment with a maximal magnitude of 67%. Whereas a direct effect of social factors on the environment is detected at the magnitude of 55%. These effects are perceived to exceed the specified carrying capacity set by Thailand. In addition, a causal relationship is observed between economic and social factors, where the environment is found with the lowest error correction capability of only 5 percent. At the same time, economic and social factors are noticed with greater correction capability of 59% and 31%, respectively. This finding implies that the ecosystem will experience slow recovery whenever it deteriorates. Hence, the government must place a higher concentration on the environment, while different measures on environmental legislation should be closely controlled to contain any future damage. Besides, energy consumption must be managed not to exceed the established carrying capacity by simultaneously implementing both proactive and reactive measures. This process can be strengthened by optimizing the newly-introduced model produced by this work for a scenario design in policy management to attain sustainability.

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Energy poverty and government subsidies in China

2023

Energy Policy

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Access to Modern Energy Services and Human Development in India: Has Government Policies Paid Off?

Cited by 5 publications

References 30 publications

Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis

Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis

Analyzing the Impact of Causal Factors on Political Management to Determine Sustainability Policy under Environmental Law: Enriching the Covariance-based SEMxi Model

Energy poverty and government subsidies in China

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