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Has mining agglomeration affected energy productivity in Africa?

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  • Lin, Boqiang
  • Sai, Rockson

Abstract

Given the rising resource exploration and mining openings, energy demand improvement is crucial for African sustainable development as it forms an integral part of public revenue. However, mining agglomeration benefits on energy productivity have been recognized in prior studies, yet empirical insights on Africa's mining sector remain unknown. This paper evaluates the impact of mining agglomeration on energy productivity in Africa using country-level data on 21 economies from 2009 to 2017. The study applied panel fixed effect model, and panel threshold fixed effect technique to estimate linear and nonlinear effects. Energy productivity is computed using Shephard energy distance function (SEDF). The findings suggest that mining agglomeration directly enhances energy productivity. Also, a nonlinear relationship exists between mining agglomeration and energy productivity. In particular, the positive impact of mining agglomeration only exists at a certain level of economic development. Further, on average, total Africa's mining energy productivity improved over the sample period, but performance differs among economic regions. The study findings support the view that policymakers should re-enforce, upgrade, and adopt innovative cluster development strategies and investor-friendly elements in regional mining codes.

Suggested Citation

  • Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pa:s0360544221029017
    DOI: 10.1016/j.energy.2021.122652
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    as
    1. Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
    2. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
    3. Estache, Antonio & Tovar, Beatriz & Trujillo, Lourdes, 2008. "How efficient are African electricity companies? Evidence from the Southern African countries," Energy Policy, Elsevier, vol. 36(6), pages 1969-1979, June.
    4. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    5. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    6. Chen, Jiandong & Wu, Yinyin & Song, Malin & Zhu, Zunhong, 2017. "Stochastic frontier analysis of productive efficiency in China's Forestry Industry," Journal of Forest Economics, Elsevier, vol. 28(C), pages 87-95.
    7. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    8. Jiang Du & Mengqin Zhao & Ming Zeng & Kezhen Han & Huaping Sun, 2020. "Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    9. Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
    10. Barros, C.P. & Assaf, A., 2009. "Bootstrapped efficiency measures of oil blocks in Angola," Energy Policy, Elsevier, vol. 37(10), pages 4098-4103, October.
    11. Oladiran, M.T. & Meyer, J.P., 2007. "Energy and exergy analyses of energy consumptions in the industrial sector in South Africa," Applied Energy, Elsevier, vol. 84(10), pages 1056-1067, October.
    12. Swann, Peter & Prevezer, Martha, 1996. "A comparison of the dynamics of industrial clustering in computing and biotechnology," Research Policy, Elsevier, vol. 25(7), pages 1139-1157, October.
    13. Marco Sanfilippo & Adnan Seric, 2016. "Spillovers from agglomerations and inward FDI: a multilevel analysis on sub-Saharan African firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 147-176, February.
    14. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    15. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    16. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    17. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    18. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    19. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    20. Carol Newman & John Page, 2017. "Industrial clusters: The case for Special Economic Zones in Africa," WIDER Working Paper Series 015, World Institute for Development Economic Research (UNU-WIDER).
    21. Katarzyna Kopczewska & Paweł Churski & Artur Ochojski & Adam Polko, 2017. "Measuring Regional Specialisation," Springer Books, Springer, number 978-3-319-51505-2, November.
    22. Carol Newman & John Page, 2017. "Industrial clusters: The case for Special Economic Zones in Africa," WIDER Working Paper Series wp-2017-15, World Institute for Development Economic Research (UNU-WIDER).
    23. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    24. Wang, Qiang & Li, Shuyu & Pisarenko, Zhanna, 2020. "Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries," Energy, Elsevier, vol. 209(C).
    25. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    26. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    27. Lin, Hui-Lin & Li, Hsiao-Yun & Yang, Chih-Hai, 2011. "Agglomeration and productivity: Firm-level evidence from China's textile industry," China Economic Review, Elsevier, vol. 22(3), pages 313-329, September.
    28. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    29. Vivien Foster & Cecilia Briceno-Garmendia, 2010. "Africa's Infrastructure : A Time for Transformation [Infrastructures africaines]," World Bank Publications - Books, The World Bank Group, number 2692, December.
    30. Trudi Hartzenberg & Davie Malungisa, 2011. "Regional Integration in Southern Africa: Key Issues and Challenges," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 3, Edward Elgar Publishing.
    31. Boqiang Lin & Ailun Wang, 2016. "Regional Energy Efficiency of China’s Commercial Sector: An Emerging Energy Consumer," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(12), pages 2818-2836, December.
    32. Olanrewaju, O.A. & Jimoh, A.A. & Kholopane, P.A., 2013. "Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model," Energy, Elsevier, vol. 63(C), pages 225-232.
    33. PHOLO Alain & TENIKUE Michel & NAFARI Baraka, 2017. "Market Potential, Agglomeration Effects and the Location of French Firms in Africa," LISER Working Paper Series 2017-19, Luxembourg Institute of Socio-Economic Research (LISER).
    34. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    35. Shanzi Ke & Yufeng Yu, 2014. "The pathways from industrial agglomeration to TFP growth – the experience of Chinese cities for 2001–2010," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(2), pages 310-332, April.
    36. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    37. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    38. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    39. Zhao, Hongli & Lin, Boqiang, 2019. "Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications," Applied Energy, Elsevier, vol. 237(C), pages 326-337.
    40. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    41. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
    42. Jiuwen Sun & Shanshan Li, 2014. "Total Factor Energy Efficiency of Yangtze River Delta Region in China," ERSA conference papers ersa14p799, European Regional Science Association.
    43. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    44. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    45. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, November.
    46. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    47. Guan Zhengfei & Alfons Oude Lansink, 2006. "The Source of Productivity Growth in Dutch Agriculture: A Perspective from Finance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 644-656.
    48. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    49. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    50. Xiaoli, Zhao & Rui, Yang & Qian, Ma, 2014. "China's total factor energy efficiency of provincial industrial sectors," Energy, Elsevier, vol. 65(C), pages 52-61.
    51. Aghdam, Reza Fathollahzadeh, 2011. "Dynamics of productivity change in the Australian electricity industry: Assessing the impacts of electricity reform," Energy Policy, Elsevier, vol. 39(6), pages 3281-3295, June.
    52. Hartzenberg, Trudi, 2011. "Regional integration in Africa," WTO Staff Working Papers ERSD-2011-14, World Trade Organization (WTO), Economic Research and Statistics Division.
    53. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
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