IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p6144-d283314.html
   My bibliography  Save this article

Price Elasticity of Heat Demand in South Korean Manufacturing Sector: An Empirical Investigation

Author

Listed:
  • Hyo-Jin Kim

    (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology, 232 Gongreung-Ro, Nowon-Gu, Seoul 01811, Korea)

  • Jae-Sung Paek

    (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology, 232 Gongreung-Ro, Nowon-Gu, Seoul 01811, Korea)

  • Seung-Hoon Yoo

    (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology, 232 Gongreung-Ro, Nowon-Gu, Seoul 01811, Korea)

Abstract

Heat is a crucial input supplied in the form of steam or hot water to industrial production of South Korea. Estimating the demand function for heat in the manufacturing sector is all the more important a task in terms of policy because heat consumption in the manufacturing sector is increasing because using heat directly as a fuel can reduce the air pollutants emissions and save energy when compared with using electricity, which is secondary energy. Thus, this article tries to estimate the demand function for industrial heat in the manufacturing sector of South Korea using cross-sectional data for analyzing the influence of manufacturing firms’ characteristics. To this end, 257 observations collected from a nationwide survey of manufacturing firms in 2017 are used and analyzed. As a robust approach, the least absolute deviations estimation method is applied to obtain the demand function. The results show that the price elasticity and sales amount elasticity of the industrial heat demand are estimated to be −0.8476 and 1.0144, respectively, which are statistically significant at the 1% level. Furthermore, the economic benefits of industrial heat consumption are computed to be 1.59 times as great as the price of heat. The results of this study can be utilized in policy planning, making, and evaluation.

Suggested Citation

  • Hyo-Jin Kim & Jae-Sung Paek & Seung-Hoon Yoo, 2019. "Price Elasticity of Heat Demand in South Korean Manufacturing Sector: An Empirical Investigation," Sustainability, MDPI, vol. 11(21), pages 1-10, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6144-:d:283314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/6144/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/21/6144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Dimitropoulos & Lester Hunt & Guy Judge, 2005. "Estimating underlying energy demand trends using UK annual data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(4), pages 239-244.
    2. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
    3. Hyo-Jin Kim & Hee-Hoon Kim & Seung-Hoon Yoo, 2018. "The Marginal Value of Heat in the Korean Manufacturing Industry," Sustainability, MDPI, vol. 10(6), pages 1-6, June.
    4. Boyoon Chang & Sung Jin Kang & Tae Yong Jung, 2019. "Price and Output Elasticities of Energy Demand for Industrial Sectors in OECD Countries," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    5. Adeyemi, Olutomi I. & Hunt, Lester C., 2014. "Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand," Energy Economics, Elsevier, vol. 45(C), pages 435-444.
    6. Yoo, Seung-Hoon & Lim, Hea-Jin & Kwak, Seung-Jun, 2009. "Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias," Applied Energy, Elsevier, vol. 86(4), pages 460-465, April.
    7. Agrell, Per J. & Bogetoft, Peter, 2005. "Economic and environmental efficiency of district heating plants," Energy Policy, Elsevier, vol. 33(10), pages 1351-1362, July.
    8. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    9. Yoo, Seung-Hoon & Lee, Joo Suk & Kwak, Seung-Jun, 2007. "Estimation of residential electricity demand function in Seoul by correction for sample selection bias," Energy Policy, Elsevier, vol. 35(11), pages 5702-5707, November.
    10. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
    11. Cialani, Catia & Mortazavi, Reza, 2018. "Household and industrial electricity demand in Europe," Energy Policy, Elsevier, vol. 122(C), pages 592-600.
    12. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    13. Alexander, Donald L. & Kern, William & Neill, Jon, 2000. "Valuing the Consumption Benefits from Professional Sports Franchises," Journal of Urban Economics, Elsevier, vol. 48(2), pages 321-337, September.
    14. Philipp Geyer & Muhannad Delwati & Martin Buchholz & Alessandro Giampieri & Andrew Smallbone & Anthony P. Roskilly & Reiner Buchholz & Mathieu Provost, 2018. "Use Cases with Economics and Simulation for Thermo-Chemical District Networks," Sustainability, MDPI, vol. 10(3), pages 1-33, February.
    15. Na Du & Qianqian Shao & Ruifa Hu, 2019. "Price Elasticity of Production Factors in Beijing’s Picking Gardens," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    16. Wang, Nan & Mogi, Gento, 2017. "Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?," Energy Policy, Elsevier, vol. 106(C), pages 233-243.
    17. Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
    18. Bianchi, Michele & Branchini, Lisa & De Pascale, Andrea & Peretto, Antonio, 2014. "Application of environmental performance assessment of CHP systems with local and global approaches," Applied Energy, Elsevier, vol. 130(C), pages 774-782.
    19. Sharimakin, Akinsehinwa & Glass, Anthony J. & Saal, David S. & Glass, Karligash, 2018. "Dynamic multilevel modelling of industrial energy demand in Europe," Energy Economics, Elsevier, vol. 74(C), pages 120-130.
    20. Chansu Lim, 2019. "Estimating Residential and Industrial City Gas Demand Function in the Republic of Korea—A Kalman Filter Application," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    21. Warr, B.S. & Ayres, R.U., 2010. "Evidence of causality between the quantity and quality of energy consumption and economic growth," Energy, Elsevier, vol. 35(4), pages 1688-1693.
    22. Krishnamurthy, Chandra Kiran B. & Kriström, Bengt, 2015. "A cross-country analysis of residential electricity demand in 11 OECD-countries," Resource and Energy Economics, Elsevier, vol. 39(C), pages 68-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seul-Ye Lim & Jeoung-Sik Min & Seung-Hoon Yoo, 2021. "Price and Income Elasticities of Residential Heat Demand from District Heating System: A Price Sensitivity Measurement Experiment in South Korea," Sustainability, MDPI, vol. 13(13), pages 1-10, June.

    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. Hyo-Jin Kim & Gyeong-Sam Kim & Seung-Hoon Yoo, 2019. "Demand Function for Industrial Electricity: Evidence from South Korean Manufacturing Sector," Sustainability, MDPI, vol. 11(18), pages 1-11, September.
    2. Sharimakin, Akinsehinwa, 2021. "Modelling asymmetric price responses of industrial energy demand with a dynamic hierarchical model," Energy Economics, Elsevier, vol. 98(C).
    3. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    4. Brantley Liddle & Fakhri Hasanov, 2022. "Industry electricity price and output elasticities for high-income and middle-income countries," Empirical Economics, Springer, vol. 62(3), pages 1293-1319, March.
    5. Pereira Uhr, Daniel de Abreu & Squarize Chagas, André Luis & Ziero Uhr, Júlia Gallego, 2019. "Estimation of elasticities for electricity demand in Brazilian households and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 69-79.
    6. Daniel Morais de Souza & Rogerio Silva de Mattos & Alexandre Zanini, 2022. "Estimating Elasticities for the Residential Demand of Electricity in Brazil Using Cointegration Models," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 315-324, March.
    7. Agnolucci, Paolo & De Lipsis, Vincenzo & Arvanitopoulos, Theodoros, 2017. "Modelling UK sub-sector industrial energy demand," Energy Economics, Elsevier, vol. 67(C), pages 366-374.
    8. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).
    9. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    10. Daniel de Abreu Pereira Uhr & Júlia Gallego Ziero Uhr, André Luis Squarize Chagas, 2017. "Estimation of price and income elasticities for the Brazilian household electricity demand," Working Papers, Department of Economics 2017_12, University of São Paulo (FEA-USP).
    11. Fedoseeva, Svetlana & Zeidan, Rodrigo, 2018. "How (a)symmetric is the response of import demand to changes in its determinants? Evidence from European energy imports," Energy Economics, Elsevier, vol. 69(C), pages 379-394.
    12. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Carlo A. Bollino & Ceyhun Mahmudlu, 2017. "Modeling of Electricity Demand for Azerbaijan: Time-Varying Coefficient Cointegration Approach," Energies, MDPI, vol. 10(11), pages 1-12, November.
    13. Nikos Sakkas & Sofia Yfanti & Costas Daskalakis & Eduard Barbu & Marharyta Domnich, 2021. "Interpretable Forecasting of Energy Demand in the Residential Sector," Energies, MDPI, vol. 14(20), pages 1-17, October.
    14. Huntington, Hillard G. & Barrios, James J. & Arora, Vipin, 2019. "Review of key international demand elasticities for major industrializing economies," Energy Policy, Elsevier, vol. 133(C).
    15. Su, Yu-Wen, 2019. "Residential electricity demand in Taiwan: Consumption behavior and rebound effect," Energy Policy, Elsevier, vol. 124(C), pages 36-45.
    16. Seul-Ye Lim & Jeoung-Sik Min & Seung-Hoon Yoo, 2021. "Price and Income Elasticities of Residential Heat Demand from District Heating System: A Price Sensitivity Measurement Experiment in South Korea," Sustainability, MDPI, vol. 13(13), pages 1-10, June.
    17. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    18. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    19. Lim, Seul-Ye & Kim, Hyo-Jin & Yoo, Seung-Hoon, 2016. "The demand function for residential heat through district heating system and its consumption benefits in Korea," Energy Policy, Elsevier, vol. 97(C), pages 155-160.
    20. Liddle, Brantley & Smyth, Russell & Zhang, Xibin, 2020. "Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel," Energy Economics, Elsevier, vol. 86(C).

    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:jsusta:v:11:y:2019:i:21:p:6144-:d:283314. 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.