Abstract
Government control distorts energy prices which leads to loss of optimal factor combination and, as a result, affects efficiency. Previous researches on energy price distortions did not pay attention to the allocative efficiency specifically. In this paper, we empirically estimate the impact of energy carriers’ price distortion on allocative efficiency in 28 Iranian provinces during 2002–2015 using Stochastic Frontier Analysis (SFA). Results indicate that energy carriers’ price distortions affect allocative efficiency negatively. However, allocative efficiency increased in 2011 due to the energy price reform of 2010; it showed a downward trend in the following years which means that energy price reform was effective only in the short-term. The energy price distortion trend and inefficiency changes are similar in all regions; nonetheless, there are differences in the measures caused by differences in energy consumption, the existence of energy-intensive industries, and technical barriers. Furthermore, among the 28 provinces which are classified to 5 regions, region 2 has the lowest and region 3 has the biggest price distortion during the same period.
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The datasets generated and/or analyzed during the current study are available in the www.databank.mefa.ir , www.amar.org.ir, www.cbi.ir.
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Stata.
Notes
This study considers the provinces of Tehran and Alborz, as well as the provinces of North Khorasan, Khorasan Razavi, and South Khorasan as one province.
References
Anand MK (2016) Reforming fossil fuel prices in India: dilemma of a developing economy. Energy Policy 92(August 2012):139–150. https://doi.org/10.1016/j.enpol.2016.01.039
Athukorala W, Wilson C, Managi S, Karunarathna M (2019) Household demand for electricity: the role of market distortions and prices in competition policy. Energy Policy 134(February):110932. https://doi.org/10.1016/j.enpol.2019.110932
Atkinson SE, Halvorsen R (1984) Parametric efficiency tests, economies of scale, and input demand in US electric power generation. Int Econ Rev 25(3):647–662
Balassa B (1985) Exports, policy choices, and economic growth in developing countries after the 1973 oil shock. J Dev Econ 18(1):23–35. https://doi.org/10.1016/0304-3878(85)90004-5
Barkhordar ZA, Fakouriyan S, Sheykhha S (2018) The role of energy subsidy reform in energy efficiency enhancement: lessons learnt and future potential for Iranian industries. J Clean Prod 197:542–550. https://doi.org/10.1016/j.jclepro.2018.06.231
Barkhordari S, Fattahi M (2017) Reform of energy prices , energy intensity and technology : a case study of Iran ( ARDL approach). Energy Strateg Rev 18:18–23. https://doi.org/10.1016/j.esr.2017.09.004
Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econ 38(3):387–399. https://doi.org/10.1016/0304-4076(88)90053-X
Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Prod Anal 3(1–2):153–169. https://doi.org/10.1007/BF00158774
Berlemann M, Wesselhöft J-E (2014) Estimating aggregate capital stocks using the perpetual inventory method – a survey of previous implementations and new empirical evidence for 103 countries. Rev Econ 65(June):1–34
Burki AA, Khan M-ul-H (2004) Effects of allocative inefficiency on resource allocation and energy substitution in Pakistan’s manufacturing. Energy Econ 26(3):371–388. https://doi.org/10.1016/J.ENECO.2004.04.012
Burki AA, Khan MA, Bari F (2004) The state of Pakistan’s dairy sector: an assessment. Pak Dev Rev 43(2):149–174. https://doi.org/10.30541/v43i2pp.149-174
Chenery HB, Robinson S, Syrquin M, Feder S (1986) Industrialization and growth. Oxford university press, In New York
Cheng H, Wang Z, Peng D, Kong Q (2020) Firm’s outward foreign direct investment and efficiency loss of factor price distortion: evidence from Chinese firms. Int Rev Econ Financ 67(19):176–188. https://doi.org/10.1016/j.iref.2020.01.008
Christopoulos DK, Tsionas EG (2002) Allocative inefficiency and the capital-energy controversy. Energy Econ 24(4):305–318. https://doi.org/10.1016/S0140-9883(02)00020-8
Cornwell C, Schmidt P, Sickles RC (1990) Production frontiers with cross-sectional and time-series variation in efficiency levels. J Econ 46(1–2):185–200. https://doi.org/10.1016/0304-4076(90)90054-W
Dai X, Cheng L (2016) Market distortions and aggregate productivity: evidence from Chinese energy enterprises. Energy Policy 95:304–313. https://doi.org/10.1016/j.enpol.2016.05.009
Dolat (2017) http://dolat.ir/detail/244821
Easterly W (1993) How much do distortions affect growth? J Monet Econ 32(2):187–212. https://doi.org/10.1016/0304-3932(93)90002-W
Greene W (2005) Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. J Econ 126(2):269–303. https://doi.org/10.1016/j.jeconom.2004.05.003
Hadri K (2000) Testing for stationarity in heterogeneous panel data. Econ J 3(2):148–161. https://doi.org/10.1111/1368-423x.00043
Hadri K, Rao Y (2008) Panel stationarity test with structural breaks. Oxf Bull Econ Stat 70(2):245–269. https://doi.org/10.1111/j.1468-0084.2008.00502.x
Halter AN, Carter HO, Hocking JG (1957) A note on the transcendental production function cx 1 a 1 e b 1 x 1 x 2 a 2 e b 2 x 2. J Farm Econ 39(4):966. https://doi.org/10.2307/1234207
He Y, Liu Y, Wang J, Xia T, Zhao Y (2014) Low-carbon-oriented dynamic optimization of residential energy pricing in China. Energy 66:610–623. https://doi.org/10.1016/j.energy.2014.01.051
IEA (2019) CO2 emissions from fuel combustion. https://www.oecdilibrary.org/energy/data/iea-co2-emissions-from-fuel-combustion-statistics_co2-data-en
Ike GN, Usman O, Alola AA, Sarkodie SA (2020) Environmental quality effects of income, energy prices and trade: the role of renewable energy consumption in G-7 countries. Sci Total Environ 721:137813
Im KS, Pesaran MH, Shin Y, Im KS, Pesaran M, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econ 115(1):53–74. https://econpapers.repec.org/RePEc:eee:econom:v:115:y:2003:i:1:p:53-74
Iran’s energy balance sheet (2017) http://pep.moe.gov.ir
International Monetary Fund (2013) Annual Report 2013 : Promoting a More Secure and Stable Global Economy. https://www.imf.org/en/Publications/AREB/Issues/2016/12/31/International-Monetary-Fund-Annual-Report-2013-Promoting-a-More-Secure-and-Stable-Global-40629
Iregui AM, Otero J (2013) The long-run behaviour of the terms of trade between primary commodities and manufactures: a panel data approach. Port Econ J 12(1):35–56. https://doi.org/10.1007/s10258-012-0086-3
Ju K, Su B, Zhou D, Wu J (2017) Does energy-price regulation benefit China’s economy and environment? Evidence from energy-price distortions. Energy Policy 105(May 2016):108–119. https://doi.org/10.1016/j.enpol.2017.02.031
Ju K, Wang Q, Liu L, Zhou D (2019) Measurement of the price distortion degree for exhaustible energy resources in china: a discount rate perspective. Emerg Mark Financ Trade 55(12):2718–2737. https://doi.org/10.1080/1540496X.2019.1587708
Kimura F, Shi X (2010) Energy market integration in the East Asia summit region: review of initiatives and estimation of benefits. Economic Research Institute for ASEAN and East Asia, Jakarta
Krueger AO (1978) Foreign trade regimes and economic development: liberalization attempts and consequences. Ballinger for NBER
Krueger AO (1983) Exchange-rate determination. Cambridge University Press,Cambridge. https://doi.org/10.7208/chicago/9780226455068.001.0001
Kumbhakar SC (1990) Production frontiers, panel data, and time-varying technical inefficiency. J Econ 46(1–2):201–211. https://doi.org/10.1016/0304-4076(90)90055-X
Kumbhakar SC, Lovell CAK (2003) Stochastic Frontier Analysis. Cambridge University Press, Cambridge, UK
Kwon JK, Paik H (1995) Factor price distortions, resource allocation, and growth: a computable general equilibrium analysis. Rev Econ Stat 77(4):664–676. https://doi.org/10.2307/2109814
Levin AT, Lin C-F, James Chu C-S, Levin A, Lin C-F, James Chu C-S (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econ 108(1):1–24. https://econpapers.repec.org/RePEc:eee:econom:v:108:y:2002:i:1:p:1-24
Li K, Lin B (2015) How does administrative pricing affect energy consumption and CO2 emissions in China? In Renewable and Sustainable Energy Reviews, 42nd edn. Elsevier Ltd., Amsterdam, pp 952–962. https://doi.org/10.1016/j.rser.2014.10.083
Mirzaei M, Bekri M (2017) Energy consumption and CO2 emissions in Iran, 2025. Environ Res 154(November 2016):345–351. https://doi.org/10.1016/j.envres.2017.01.023
Moshiri S (2015) The effects of the energy price reform on households consumption in. Energy Policy 79:177–188. https://doi.org/10.1016/j.enpol.2015.01.012
Naess-Schmidt HS, Jensen L (2015) Environmental policy analysis: dealing with economic distortions. Nordic Council Minist. https://doi.org/10.6027/TN2015-576
Ouyang X, Sun C (2015) Energy savings potential in China’s industrial sector: from the perspectives of factor price distortion and allocative inefficiency. Energy Econ 48:117–126. https://doi.org/10.1016/j.eneco.2014.11.020
Ouyang X, Wei X, Sun C, Du G (2018) Impact of factor price distortions on energy efficiency: evidence from provincial-level panel data in China. Energy Policy 118(April 2018):573–583. https://doi.org/10.1016/j.enpol.2018.04.022
Pakrooh P, Nematian J, Pishbahar E, Hayati B (2021) Reforming energy prices to achieve sustainable energy consumption in the agriculture sector of iran’s provinces: using game approach. J Clean Prod 293:126146. https://doi.org/10.1016/J.JCLEPRO.2021.126146
Pesaran M (2004) General diagnostic tests for cross section dependence in panels: Cambridge working Paper in Economics. IZA Discussion Paper, Cambridge, p 1240
Pitt MM, Lee LF (1981) The measurement and sources of technical inefficiency in the Indonesian weaving industry. J Dev Econ 9(1):43–64
Rioux B, Galkin P, Murphy F, Feijoo F, Pierru A, Malov A, Li Y, Wu K (2019) The economic impact of price controls on China’s natural gas supply chain. Energy Econ 80(2019):394–410. https://doi.org/10.1016/j.eneco.2018.12.026
Schmidt P, Lovell CK (1979) Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers. J Econom 9(3):343–366. https://doi.org/10.1016/0304-4076(79)90078-2
Schmidt P, Sickles RC (1984) Production frontiers and panel data. J Bus Econ Stat 2(4):367. https://doi.org/10.2307/1391278
Shehabi M (2020) Diversification effects of energy subsidy reform in oil exporters: illustrations from Kuwait. Energy Policy 138(February 2019):110966. https://doi.org/10.1016/j.enpol.2019.110966
Shi X, Sun S (2017) Energy price, regulatory price distortion and economic growth: a case study of China. Energy Econ 63:261–271. https://doi.org/10.1016/j.eneco.2017.02.006
Sixth Development Plan of Iran (2017) https://rc.majlis.ir/fa/law/show/1014547
Skoorka BM (2000) Measuring market distortion: international comparisons, policy and competitiveness. Appl Econ 32(3):253–264. https://doi.org/10.1080/000368400322688
Sun X, Loh L, Chen Z (2020) Effect of market fragmentation on ecological efficiency: evidence from environmental pollution in China. Environ Sci Pollut Res 27(5):4944–4957. https://doi.org/10.1007/s11356-019-06548-2
Sun C, Luo Y, Huang Y, Ouyang X (2017) A comparative study on the production efficiencies of China's oil companies: a true fixed effect model considering the unobserved heterogeneity. J Clean Prod 154:341–352. https://doi.org/10.1016/j.jclepro.2017.03.222
Sun X, Loh L, Chen Z, Zhou X (2020) Factor price distortion and ecological efficiency: the role of institutional quality. Environ Sci Pollut Res 27(5):5293–5304. https://doi.org/10.1007/s11356-019-07147-x
Tan R, Lin B, Liu X (2019) Impacts of eliminating the factor distortions on energy efficiency—a focus on China’s secondary industry. Energy 183:693–701. https://doi.org/10.1016/j.energy.2019.06.155
Tao X, Xing J, Huang X, Zhou W (2009) The measurement of energy price distortions and factor substitution in Chinese industry. J Quant Tech Econ 26(11):1–14. http://en.cnki.com.cn/Article_en/CJFDTOTAL-SLJY200911002.htm
Valizadeh J, Sadeh E, Javanmard H, Davodi H (2018) The effect of energy prices on energy consumption efficiency in the petrochemical industry in Iran. Alexandria Eng J 57(4):2241–2256. https://doi.org/10.1016/J.AEJ.2017.09.002
Wang N, Shi J (2015) Measure the degree of factor price distortion in China. Journal of Quantitative and Technical Economics 9:149–161 (in Chinese)
Wang M, Tian L (2015) Regulating effect of the energy market-theoretical and empirical analysis based on a novel energy prices-energy supply-economic growth dynamic system. Appl Energy 155:526–546. https://doi.org/10.1016/j.apenergy.2015.06.001
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Conceptualization (Ebrahim Hadian), data curation (Farina Farmanbar), formal analysis (Farina Farmanbar), investigation (Farina Farmanbar), methodology (Farina Farmanbar and Zahra Dehghan Shabani), project administration (Ebrahim Hadian), software (Farina Farmanbar and Zahra Dehghan Shabani), supervision (Ebrahim Hadian), validation (Ebrahim Hadian and Zahra Dehghan Shabani), visualization (Ebrahim Hadian), writing—original draft (Farina Farmanbar), writing—review and editing (Ebrahim Hadian and Zahra Dehghan Shabani).
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Hadian, E., Shabani, Z.D. & Farmanbar, F. Impact of energy carriers’ price distortions on energy allocative efficiency: the case study of Iranian provinces. Environ Sci Pollut Res 29, 88725–88736 (2022). https://doi.org/10.1007/s11356-022-21593-0
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DOI: https://doi.org/10.1007/s11356-022-21593-0