Abstract
This chapter investigates when a large amount of capital flows suddenly to or away from a particular economy and how the consequent economic shocks can be minimized by employing feedback controls while the desirable economic growth can still be on track. By employing the method of the state and/or output feedbacks of control theory, this chapter explores how to practically design mechanisms based on the concepts of state and/or output feedbacks. In particular, this chapter presents a method of designing economically stabilizing strategies when the economic system suffers from external shocks by employing output feedback and Lyapunov feedback control.
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Bibliography
Altimari N (2001) Does money lead inflation in the EURO area? European Central Bank Working Paper, No. 63
Arnason R, Sandal LK, Steinshamn SI, Vestergaard N (2004) Optimal feedback controls: comparative evaluation of the cod fisheries in Denmark, Iceland, and Norway. Am J Agric Econ 86(2):531–542
Chong A, Calderon C (2000) Causality and feedback between institutional measures and economic growth. Econ Polit 12(1):69–81
Coddington EA, Levinson N (1955) Theory of ordinary differential equations. McGraw-Hill Education, New York
Colander D, Goldberg M, Haas A et al (2009) The financial crisis and the systemic failure of the economics profession. Crit Rev 21(2–3):249–267
Dosi G, Fagiolo G, Napoletano M et al (2015) Fiscal and monetary policies in complex evolving economies. J Econ Dyn Control 52:166–189
Forrest J (2014) A systems perspective on financial systems. CRC Press, an imprint of Taylor and Francis, Balkema
Forrest J, Hopkins Z, Liu SF (2013a) Currency wars and a possible self-defense (I): how currency wars take place. Adv Syst Sci Appl 13:198–217
Forrest J, Hopkins Z, Liu SF (2013b) Currency wars and a possible self-defense (II): a plan of self-protection. Adv Syst Sci Appl 13(4):298–315
Furlong F, Ingenito R (1996) Commodity prices and inflation. Fed Reserve Bank San Francisco Economic Rev (2):27–47
Ghysels E, Santa-Clara P, Valkanov R (2006) Predicting volatility: getting the most out of return data sampled at different frequencies. J Econ 131(1):59–95
Granger CWJ (1963) Economic processes involving feedback. Inf Control 6(1):28–48
Hached M (2015) A note on the Davision-man method for Sylvester matrix equations. Comput Appl Math. https://doi.org/10.1007/s40314-015-0244-1
Helbing D (2012) Systemic risks in society and economics. In: Social self-organization. Springer, Berlin, pp 261–284
Hui YV (1991) Economic design of a complete inspection plan with feedback control. Int J Prod Res 29(10):2151–2158
Infante EF, Stein JL (1973) Optimal growth with robust feedback control. Rev Econ Stud 40(1):47–60
Kiekintveld C, Wellman MP, Singh SP, Estelle J, Vorobeychik Y, Soni V, Rudary MR (2004) Distributed feedback control for decision making on supply chains. In: ICAPS, pp 384–392
Kirk DE (2012) Optimal control theory: an introduction. Courier Corporation
Kyrtsou C, Labys W (2006) Evidence for chaotic dependence between US inflation and commodity prices. J Macroecon 28(1):256–266
Laird J (2000) Money politics, globalization, and crisis: the case of Thailand. Graham Brash, Singapore
Lauridsen LS (1998) The financial crisis in Thailand: causes, conduct and consequences? World Dev 26(8):1575–1591
Li C, Liu H, Jiang Y (2015a) Exchange rate risk, political environment and Chinese outward FDI in emerging economies: a panel data analysis. Economics 3(5–6):145–155
Li HL, Jiang YL, Wang ZL, Hu C (2015b) Global stability problem for feedback control systems of impulsive fractional differential equations on networks. Neurocomputing 161:155–161
Lin Y (2008) Systemic Yoyo Model: some impacts of the second dimension. Auerbach Publications, an imprint of Taylor and Francis, New York
Moe TM (1985) Control and feedback in economic regulation: the case of the NLRB. Am Polit Sci Rev 79(04):1094–1116
Monteforte L, Moretti G (2013) Real-time forecasts of inflation: the role of financial variables. J Forecast 32(1):51–61
Myoken H (1979) A comparative study on the use of state-space representations for multivariable economic systems and the structural properties. Kybernetes (8):193–201
Nguyen QC, Krylov S (2015) Nonlinear tracking control of vibration amplitude for a parametrically excited microcantilever beam. J Sound Vib 338:91–104
Norman AL (1974) On the relationship between linear feedback control and first period certainty equivalence. Int Econ Rev 15(1):209–215
Orphanides A (2001) Monetary policy rules based on real-time data. Am Econ Rev 91(4):964–985
Orphanides A (2004) Monetary policy rules, macroeconomic stability, and inflation: a view from the trenches. J Money Credit Bank 36(2):151–175
Perko L (2013) Differential equations and dynamical systems, vol 7. Springer, New York
Phongpaichit P, Baker CJ (2000) Thailand’s crisis. Institute of Southeast Asian Studies, Singapore
Qi HQ, Li MQ (2013) Excess liquidity, CPI inflation measure and change mechanism in China. Res Financ Econ Iss (2):12–17
Reifschneider D, Wascher W, Wilcox D (2015) Aggregate supply in the United States: recent developments and implications for the conduct of monetary policy. IMF Econ Rev 63(1):71–109
Rüffer R, Stracca L (2006) What is global excess liquidity, and does is matter?, European Central Bank, Working Paper, No. 696
Schneider F, Enste DH (2013) The shadow economy: an international survey. Cambridge University Press, Cambridge
Schneider F, Klinglmair R (2004) Shadow economies around the world: what do we know? Working Paper, Department of Economics, Johannes Kepler University of Linz, No. 0403
Schneider F, Raczkowski K, Mróz B (2015) Shadow economy and tax evasion in the EU. J Money Laund Control 18(1):34–51
Shen J, Zheng XW (2015) Positivity and stability of coupled differential–difference equations with time-varying delays. Automatica J IFAC Int Fed Autom Control 57:123–127
Shilnikov LP, Shilnikov AL, Turaev DV, Chua LO (1998) Methods of qualitative theory in nonlinear dynamics. World Scientific, Singapore
Tanzi V (1999) Uses and abuses of estimates of the underground economy. Econ J 109(456):338–347
Westcott JH (1977) An experiment on controlling a national economy. In: Bensoussan A, Lions JJ (eds) New trends in systems analysis. Springer, Berlin, pp 591–611
Zhang ZJ, Zhang QR (1981) State space realization of linear econometric system. Inf Control (4):1–14
Zhang J, Liu S, Liu J (2014) Economic model predictive control with triggered evaluations: state and output feedback. J Process Control 24(8):1197–1206
Acknowledgement
This research was partially supported by the National Natural Science Foundation of China (71601085; 71571119), the Natural Science Foundation of Hubei Province (2016CFB294), and the Project funded by China Postdoctoral Science Foundation (2016M601808).
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Forrest, J.YL., Ying, Y., Gong, Z., Guo, H., Guo, J., Larson, S. (2018). Design Economic Policies Based on Various Performance Indicators. In: Currency Wars. Contemporary Systems Thinking. Springer, Cham. https://doi.org/10.1007/978-3-319-67765-1_15
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DOI: https://doi.org/10.1007/978-3-319-67765-1_15
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