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Assessment of Energy–Population–Urbanization Nexus with Changing Energy Industry Scenario in India

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  • Ram Avtar

    (Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
    Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan)

  • Saurabh Tripathi

    (Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan)

  • Ashwani Kumar Aggarwal

    (Electrical and Instrumentation Engineering department, Sant Longowal Institute of Engineering and Technology, Longowal-148106, Punjab, India)

Abstract

The demand for energy has been growing worldwide, especially in India partly due to the rapid population growth and urbanization of the country. To meet the ever-increasing energy requirement while maintaining an ecological balance is a challenging task. However, the energy industry-induced effect on population and urbanization has not been addressed before. Therefore, this study investigates the linkages between energy, population, and urbanization. The study also aims to find the quantifiable indicators for the population growth and rate of urbanization due to the expanding energy industry. The integrated framework uses a multi-temporal Landsat data to analyze the urbanization pattern, a census data for changes in population growth, night time light (NTL) data as an indicator for economic development and energy production and consumption data for energy index. Multi-attribute model is used to calculate a unified metric, termed as the energy–population–urbanization (EPU) nexus index. The proposed approach is demonstrated in the National Thermal Power Corporation (NTPC) Dadri power plant located in Uttar Pradesh, India. Landsat and NTL data clearly shows the urbanization pattern, economic development, and electrification in the study area. A comparative analysis based on various multi-attribute decision model assessment techniques suggests that the average value of EPU nexus index is 0.529, which significantly large compared to other studies and require special attention by policymakers because large EPU index indicates stronger correlation among energy, population, and urbanization. The authors believe that it would help the policymakers in planning and development of future energy projects, policies, and long-term strategies as India is expanding its energy industry.

Suggested Citation

  • Ram Avtar & Saurabh Tripathi & Ashwani Kumar Aggarwal, 2019. "Assessment of Energy–Population–Urbanization Nexus with Changing Energy Industry Scenario in India," Land, MDPI, vol. 8(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:8:p:124-:d:257139
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    References listed on IDEAS

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    Cited by:

    1. Manish Ramaiah & Ram Avtar & Md. Mustafizur Rahman, 2020. "Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices," Land, MDPI, vol. 9(9), pages 1-21, August.
    2. Luwei Wang & Wenzhe Xu & Xuan Xue & Haowei Wang & Zhi Li & Yang Wang, 2024. "Analysis of Spatial and Temporal Changes and Drivers of Urban Sprawl in Xinjiang Based on Integrated DMSP-OLS and NPP-VIIRS Data," Land, MDPI, vol. 13(5), pages 1-26, April.
    3. Zihao Zheng & Zhifeng Wu & Yingbiao Chen & Zhiwei Yang & Francesco Marinello, 2020. "Detection of City Integration Processes in Rapidly Urbanizing Areas Based on Remote Sensing Imagery," Land, MDPI, vol. 9(10), pages 1-15, October.
    4. Ram Avtar & Netrananda Sahu & Ashwani Kumar Aggarwal & Shamik Chakraborty & Ali Kharrazi & Ali P. Yunus & Jie Dou & Tonni Agustiono Kurniawan, 2019. "Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review," Resources, MDPI, vol. 8(3), pages 1-23, August.
    5. Shamik Chakraborty & Ram Avtar & Raveena Raj & Huynh Vuong Thu Minh, 2019. "Village Level Provisioning Ecosystem Services and Their Values to Local Communities in the Peri-Urban Areas of Manila, The Philippines," Land, MDPI, vol. 8(12), pages 1-18, November.

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