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2017 | OriginalPaper | Buchkapitel

Financing Sustainable Growth Through Energy Exports and Implications for Human Capital Investment

verfasst von : Unurjargal Nyambuu

Erschienen in: Inequality and Finance in Macrodynamics

Verlag: Springer International Publishing

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Abstract

This paper examines the impact of energy resources financing on investment in human capital through the mechanism of growth dynamics. This is done within a context that includes global financial markets and exports of non-renewable energy. These are frequently related to issues of debt accumulation, which naturally raises questions relating to sustainability and welfare—both present and future. Energy export’s contribution to economic growth is emphasized and the distinction between resource-rich and resource-poor countries is highlighted. Major external disturbances for sustained resource-driven development, which can make a country more vulnerable to economic shocks, are discussed. Numerical analysis using Nonlinear Model Predictive Control confirms the empirically observed long-run patterns when non-renewable resources decline monotonically and become depleted. The solutions also confirm typical boom/bust cycle phenomena, where excessive debt may effectively strangle growth. In addition, the implications of investment in human capital for inequality are discussed.

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Fußnoten
1
According to IMF (2012) and Berg et al. (2012), countries with at least a 20% share of natural resource exports in total exports (average of 2006–2010) are classified as resource-rich countries.
 
2
A number of studies including Auty (199019932001), Sachs and Warner (199519992001), and Smith (2004) show a negative relationship between natural resource abundance and economic performance.
 
3
This refers to the “top 1 percent highest incomes” in Piketty (2014, p. 273).
 
4
Piketty (2014, p. 23) highlights the destabilizing force of divergence “associated with the process of accumulation and concentration of wealth when growth is weak and the return on capital is high”.
 
5
Human capital was introduced in the basic closed economy growth model by early researchers, e.g., Uzawa (1965) and Lucas (1988). This endogenous Uzawa-Lucas growth model was estimated in Greiner et al. (2005) using data from the US and Germany. Their empirical evidence fits the actual data.
 
6
NMPC methodology is explained in Appendix 3.
 
7
Current account data before 2005 are compiled based on Balance of Payments Manual BPM5, but data after 2005 are compiled following the latest manual of BPM6.
 
8
According to the World Bank, gross external debt “is debt owed to nonresidents repayable in currency, goods, or services.” This includes not only public publicly guaranteed debt, but also private non-guaranteed long-term debt, use of IMF credit, and short-term debt.
 
9
See Appendix 3, on NMPC methodology, for a discussion of the finite upper limit in the integration term.
 
10
Solution of the theoretical model using a current-value Hamiltonian and optimality conditions is sketched in Appendix 1. Recent studies show that NMPC is effective in approximating longer-horizon decision problem (Grüne and Pannek 2011; Nyambuu and Semmler 2014). When NMPC is used, infinite decision horizons are truncated; they are replaced with finite horizons. Grüne et al. (2013) show how this method can be used in dynamic decision problems in economics. See Appendix 3 for a discussion of NMPC and, in particular, the finite upper limit in the integration term of Eq. (1).
 
11
With regard to specific parameter choices, I follow Blanchard (1983), Semmler and Sieveking (2000), and Mittnik and Semmler (2014). Although I have illustrated the ideas using specific parameters, the results presented herein are robust with respect to their variation. In Appendix 4 on NMPC solutions with different parameters, the sensitivity of the results to specific parameter choice is discussed. In addition, results for different initial conditions are shown in Appendix 4.
 
12
A basic closed economy growth model is estimated in Greiner and Semmler (2008) using a nonlinear least squares techniques. Their estimated data on capital stock/resources and consumption/resources ratios fit the data well and highlight the periods of oil crises in the 1970s.
 
13
For details, see Semmler and Sieveking (2000, p. 1124).
 
14
Solution of the open economy model with a current-value Hamiltonian and optimality conditions is sketched in Appendix 2.
 
15
This relationship can be shown from definition of the GDP which is Y = C + I + G + CA. From here we derive the current account as CA = YCIG or CA = SI + TG with S = YTC.
 
16
Potential non-monetary costs of a very high debt can be issues of solvency and political risks as discussed in Blanchard (1983). The penalty term in the objective function, depending on whether the cost of debt is high or low, determines the path of the debt growth. Based on the analysis of marginal cost of debt and implications of different parameters in the penalty term, Blanchard (1983, p. 195) argues that “if a reduction in the growth of debt has to be achieved, it must be done by reducing consumption rather than investment”.
 
17
Again, with regard to the choice of values for the parameters and the penalty term, I follow Blanchard (1983), Semmler and Sieveking (2000), and Mittnik and Semmler (2014).
 
18
Some of these parameter values are taken from Blanchard (1983), Semmler and Sieveking (2000), and Mittnik and Semmler (2014).
 
19
For details see Greiner and Semmler (2008, p. 64) and Greiner et al. (2005, p. 26). Earlier studies by Wan (1970) and Ryder and Heal (1973) highlighted the weighted contribution of the investment in human capital.
 
20
See Grüne and Pannek (2011).
 
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Metadaten
Titel
Financing Sustainable Growth Through Energy Exports and Implications for Human Capital Investment
verfasst von
Unurjargal Nyambuu
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-54690-2_9