中国风电固定上网电价政策的实物期权理论与实证分析

doi:10.16381/j.cnki.issn1003-207x.2016.05.008

中国管理科学 ›› 2016, Vol. 24 ›› Issue (5): 65-73.doi: 10.16381/j.cnki.issn1003-207x.2016.05.008

中国风电固定上网电价政策的实物期权理论与实证分析

李庆^1,2, 陈敏¹

1. 中国科学院数学与系统科学研究院, 北京 100190;
2. 中南财经政法大学统计与数学学院, 湖北武汉 430073

收稿日期:2014-11-15 修回日期:2016-01-13 出版日期:2016-05-20 发布日期:2016-05-24
通讯作者: 李庆(1985-),男(汉族),河南信阳人,中国科学院数学与系统科学研究院博士后,研究方向:金融统计,E-mail:sxlq115@163.com. E-mail:sxlq115@163.com

Real Option Theoretical and Empirical Analysis on Feed-in-tariff (FIT) Policy of Wind Electricity in China

LI Qing^1,2, CHEN Min¹

1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China;
2. School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China

Received:2014-11-15 Revised:2016-01-13 Online:2016-05-20 Published:2016-05-24

摘要/Abstract

摘要： 本文使用实物期权方法研究中国目前实施的风电固定上网电价政策。首先说明风电项目投资的实物期权原理,并建立风电固定上网电价政策实物期权模型。然后,从理论上证明了风电最优投资电价与上网电价波动率成正比(固定上网电价理论依据,即政府为了最大限度激励投资者,使得上网电价波动率等于0);最优投资电价与上网电价期望增长率成正比(固定上网电价调整理论依据)。最后,选取河北张北油篓沟元山子风电场工程项目进行实证分析,通过上网电价期望增长率调整的数值分析得到中国风电上网电价平均每年降低幅度应该为1%左右。本文为我国可再生能源电价调整提供参考。

关键词: 风能电力, 固定上网电价, 实物期权, 最优投资决策, 投资临界值

Abstract: In this paper, the wind electricity policy of Feed-in-tariff (FIT) implemented in China is studied by the optimal investment decision theory in real option theory.First, the real option theory of the investment of wind electricity project is analyzed, and then the real option model of FIT policy is established.Then, from the real option model of FIT policy, the theoretical proof that both volatility rate and expected growth rate of FIT are proportional to the critical value of FIT of wind electricity (optimal investment price) is given, which is the theoretical evidence and adjustment evidence of FIT policy, and it is the fixed FIT when the volatility rate of electricity price is equal to zero.In order to incentive investors to invest, governments should decrease the volatility rate and expected growth rate of FIT.Finally, empirical analysis is made by the Yuanshanzi wind electricity project in Hebei province; the conclusion is drawn that the wind electricity price should be decreased by about 1% every year.Our research results can be referenced by the other renewable energy electricity.

Key words: wind electricity, feed-in-tariff, real option, optimal investment decision, investment threshold

中图分类号:

F830.9

李庆, 陈敏. 中国风电固定上网电价政策的实物期权理论与实证分析[J]. 中国管理科学, 2016, 24(5): 65-73.

LI Qing, CHEN Min. Real Option Theoretical and Empirical Analysis on Feed-in-tariff (FIT) Policy of Wind Electricity in China[J]. Chinese Journal of Management Science, 2016, 24(5): 65-73.

参考文献

[1] Ringel M.Fostering the use of renewable energies in the European Union:The race between feed-in tariffs and green certificates[J].Renewable Energy, 2006, 31(1):1-17.

[2] Menz F C, Vachon S.The effectiveness of different policy regimes for promoting wind power:Experience from the states[J].Energy Policy, 2006, 34(14):1786-1796.

[3] Midttun A, Gautesen K.Feed-in or certificates, competition or complementarity? Combining a static efficiency and a dynamic innovation perspective on the greening of the energy industry[J].Energy Policy, 2007, 35(3):1419-1422.

[4] Verbruggena A, Lauber V.Basic concepts for designing renewable electricity support aiming at a full-scale transition by 2050[J].Energy Policy, 2009, 37(12):5732-5743.

[5] Falconett I, Nagasaka K.Comparative analysis of support mechanisms for renewable energy technologies using probability distributions[J].Renewable Energy, 2010, 35(5):1135-1144.

[6] Tamas M M, Shrestha S O B, Zhou Huizhong.Feed-in tariff and tradable green certificate in oligopoly[J].Energy Policy, 2010, 38(8):4040-4047.

[7] Myers S C.Determinants of corporate borrowing[J].Journal of Financial Economics, 1977, 5(1):411-487.

[8] Myers S C.Finance theory and financial strategy[J].Midland Corporate Finance Journal, 1987, 5(1):6-13.

[9] Dixit R K, Pindyck R S.Investment under uncertainty[M].Princeton New Jersey:Princeton University Press, 1994:207-211.

[10] 张新华, 叶泽.投资决策不确定条件下的寡头发电容量投资分析[J].中国管理科学, 2014, 22(9):26-32.

[11] 谷晓燕.基于实物期权的研发项目动态投资策略模型[J].中国管理科学, 2015, 23(7):94-102.

[12] Lesser J A, Su Xuejuan.Design of an economically efficient feed-in tariff structure for renewable energy development[J].Energy Policy,2008, 36(3):981-990.

[13] Couture T, Gagnon Y.An analysis of feed-in tariff remuneration models:Implications for renewable energy investment[J].Energy Policy, 2010, 38(2):955-965.

[14] Cory K S, Couture T, Kreycik C.Feed-in tariff policy design, implementation and RPS policy interactions[R].Working Paper,National Renewable Energy Laboratory, 2009.

[15] Kim K K, Lee C G.Evaluation and optimization of feed-in tariffs[J].Energy Policy, 2012, 49(10):192-203.

[16] Ritzenhofen I, Spinler S.Optimal design of feed-in-tariffs to stimulate renewable energy investments underregulatory uncertainty:A real options analysis[J].Energy Economics, 2015, 53:76-89.

[17] European Commission (COM).Commission staff working document[R]. Working Paper,Brussels:European Commission,2018.

[18] 钟渝,刘名武,马永开.基于实物期权的光伏并网发电项目成本补偿策略研究[J].中国管理科学, 2010, 18(3):68-74.

[19] 曾鸣, 李晨, 刘超, 等.考虑电价补贴政策风电投资决策模型与分析[J].电力系统保护与控制, 2012, 40(23):17-23.

[20] 田立新, 许培琳, 傅敏.基于实物期权的中国风电发展政策评估[J].管理学报, 2013, 10(2):266-273.

[21] 何春, 徐继尧, 陈国伟.基于上网电价下调预期的风电投资决策研究[J].风能, 2015,(3):44-47.

中国风电固定上网电价政策的实物期权理论与实证分析

Real Option Theoretical and Empirical Analysis on Feed-in-tariff (FIT) Policy of Wind Electricity in China

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