IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2422-d779483.html
   My bibliography  Save this article

Linkage of Electricity with Agricultural Growth and Technology Factors: An Illustration of India’s Case

Author

Listed:
  • Rajeev Ranjan Kumar

    (ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India)

  • Girish Kumar Jha

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Praveen Koovalamkadu Velayudhan

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

Abstract

Understanding the relationship between electricity consumption and economic growth is crucial for formulating efficient energy policies for all sectors in general, and for agriculture in particular. To study this, an empirical examination of the long-run co-movement and the causal relationship between electricity consumption and real gross state domestic product (GSDP) from agriculture and its allied sectors is attempted. The agricultural sector involves the use of different input technologies that are further influenced by electricity consumption. To account for this technology-enabling effect of electricity, we further take up an analysis of the relationship between electricity consumption and agricultural technology factors: fertilizer consumption, the share of irrigation, area under cereal, and the extent of mechanization. We use both state (data from 17 states for the period 1993–2017 for the electricity–GSDP relationship) and country-level data (for the period 1980–2018 for the electricity–technology factors relationship) in the analysis. Since short-period time series datasets analysis may yield unreliable and inconsistent results, we employed modern heterogeneous panel co-integration and panel-based error correction model techniques for analyzing the energy–growth linkage. When the heterogeneous states effect is taken into account, the empirical results fully support a positive long-run co-integrated connection between GSDP and electricity consumption. We could detect both long-run and short-run unidirectional causality running from electricity consumption to agricultural growth. Further electricity consumption was also found to augment the use of technology factors in agriculture. This calls for implementing policies and strategies for achieving higher electricity use in agriculture and improved efficiency in its utilization simultaneously.

Suggested Citation

  • Rajeev Ranjan Kumar & Girish Kumar Jha & Praveen Koovalamkadu Velayudhan, 2022. "Linkage of Electricity with Agricultural Growth and Technology Factors: An Illustration of India’s Case," Energies, MDPI, vol. 15(7), pages 1-14, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2422-:d:779483
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2422/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/7/2422/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Narayan, Seema & Doytch, Nadia, 2017. "An investigation of renewable and non-renewable energy consumption and economic growth nexus using industrial and residential energy consumption," Energy Economics, Elsevier, vol. 68(C), pages 160-176.
    2. Shahbaz, Muhammad & Tang, Chor Foon & Shahbaz Shabbir, Muhammad, 2011. "Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches," Energy Policy, Elsevier, vol. 39(6), pages 3529-3536, June.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Jha, Girish Kumar, 2013. "Energy Growth Linkage and Strategy for Meeting the Energy Demand in Indian Agriculture," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(Conferenc).
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    7. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    8. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    9. Jha, Girish Kumar & Pal, Suresh & Singh, Alka, 2012. "Changing Energy-use Pattern and the Demand Projection for Indian Agriculture," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 25(1), June.
    10. Pachauri, R.K., 1998. "Economics of Energy Use in Agriculture," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 53(3), September.
    11. Karanfil, Fatih & Li, Yuanjing, 2015. "Electricity consumption and economic growth: Exploring panel-specific differences," Energy Policy, Elsevier, vol. 82(C), pages 264-277.
    12. Ashok Gulati & Pallavi Rajkhowa & Pravesh Sharma, 2017. "Making Rapid Strides Agriculture in Madhya Pradesh: Sources, Drivers, and Policy Lessons," Working Papers id:12011, eSocialSciences.
    13. Tang, Chor Foon & Tan, Bee Wah & Ozturk, Ilhan, 2016. "Energy consumption and economic growth in Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1506-1514.
    14. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    15. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    16. Lee, Chien-Chiang & Chang, Chun-Ping, 2005. "Structural breaks, energy consumption, and economic growth revisited: Evidence from Taiwan," Energy Economics, Elsevier, vol. 27(6), pages 857-872, November.
    17. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    18. Karkacier, Osman & Gokalp Goktolga, Z. & Cicek, Adnan, 2006. "A regression analysis of the effect of energy use in agriculture," Energy Policy, Elsevier, vol. 34(18), pages 3796-3800, December.
    19. Ghosh, Sajal, 2002. "Electricity consumption and economic growth in India," Energy Policy, Elsevier, vol. 30(2), pages 125-129, January.
    20. Zaman, Khalid & Khan, Muhammad Mushtaq & Ahmad, Mehboob & Rustam, Rabiah, 2012. "The relationship between agricultural technology and energy demand in Pakistan," Energy Policy, Elsevier, vol. 44(C), pages 268-279.
    21. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    22. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar, R.R. & Jha, G.K. & Singh, K.N., 2018. "Relationship between agricultural growth and energy consumption in Indian agriculture: A panel co-integration analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277187, International Association of Agricultural Economists.
    2. Apergis, Nicholas & Payne, James E., 2011. "A dynamic panel study of economic development and the electricity consumption-growth nexus," Energy Economics, Elsevier, vol. 33(5), pages 770-781, September.
    3. Seema Narayan & Tri Tung Nguyen, 2019. "Are Exports More Responsive to Clean or Dirty Energy? The Case of Vietnam’s Exports to 54 Countries," Energies, MDPI, vol. 12(8), pages 1-21, April.
    4. Suleman Sarwar & Rida Waheed & Mehnoor Amir & Muqaddas Khalid, 2018. "Role of Energy on Economy The Case of Micro to Macro Level Analysis," Economics Bulletin, AccessEcon, vol. 38(4), pages 1905-1926.
    5. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data," Resource and Energy Economics, Elsevier, vol. 30(1), pages 50-65, January.
    6. Sarwar, Suleman & Chen, Wei & Waheed, Rida, 2017. "Electricity consumption, oil price and economic growth: Global perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 9-18.
    7. Mohammad Mafizur Rahman & Xuan-Binh (Benjamin) Vu & Son Nghiem, 2022. "Economic Growth in Six ASEAN Countries: Are Energy, Human Capital and Financial Development Playing Major Roles?," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    8. Herrerias, M.J. & Joyeux, R. & Girardin, E., 2013. "Short- and long-run causality between energy consumption and economic growth: Evidence across regions in China," Applied Energy, Elsevier, vol. 112(C), pages 1483-1492.
    9. Salim, Ruhul A. & Rafiq, Shuddhasattwa, 2012. "Why do some emerging economies proactively accelerate the adoption of renewable energy?," Energy Economics, Elsevier, vol. 34(4), pages 1051-1057.
    10. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2020. "Renewable energy consumption and economic growth nexus: Evidence from a threshold model," Energy Policy, Elsevier, vol. 139(C).
    11. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    12. Ouedraogo, Nadia S., 2013. "Energy consumption and human development: Evidence from a panel cointegration and error correction model," Energy, Elsevier, vol. 63(C), pages 28-41.
    13. Cheratian, Iman & Goltabar, Saleh, 2017. "Energy Consumption and Regional Economic Growth: The Case of Iranian Manufacturing Sector," MPRA Paper 78315, University Library of Munich, Germany.
    14. Apergis, Nicholas & Payne, James E., 2010. "The causal dynamics between coal consumption and growth: Evidence from emerging market economies," Applied Energy, Elsevier, vol. 87(6), pages 1972-1977, June.
    15. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    16. Shahbaz, Muhammad & Nasreen, Samia & Ling, Chong Hui & Sbia, Rashid, 2014. "Causality between trade openness and energy consumption: What causes what in high, middle and low income countries," Energy Policy, Elsevier, vol. 70(C), pages 126-143.
    17. Nagmi Moftah Aimer, 2020. "Renewable energy consumption, financial development and economic growth: Evidence from panel data for the Middle East and North African countries," Economics Bulletin, AccessEcon, vol. 40(3), pages 2058-2072.
    18. Apergis, Nicholas & Payne, James E., 2009. "Energy consumption and economic growth: Evidence from the Commonwealth of Independent States," Energy Economics, Elsevier, vol. 31(5), pages 641-647, September.
    19. Carlos Alberto Barreto Nieto & Jacobo Campo Robledo, 2012. "Relación a largo plazo entre consumo de energía y PIB en América Latina: Una evaluación empírica con datos panel," Revista Ecos de Economía, Universidad EAFIT, October.
    20. Omri, Anis, 2018. "Entrepreneurship, sectoral outputs and environmental improvement: International evidence," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 46-55.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2422-:d:779483. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.