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Houston Baptist University is a private Baptist institution founded in 1960. It is located in Greater Sharpstown in Houston, Texas near the Southwest Freeway. Wikipedia.

Brechet T.,Catholic University of Louvain | Hritonenko N.,Prairie View A&M University | Yatsenko Y.,Catholic University of Louvain | Yatsenko Y.,Houston Baptist University
Environmental and Resource Economics | Year: 2013

The paper analytically explores the optimal allocation of investments into mitigation and environmental adaptation against climate change damages at a macroeconomic level. The economic-environmental model is formulated as a social planner problem where adaptation and abatement investments are separate decision variables. The existence of a unique steady state is proven. A comparative static analysis of optimal investments leads to essential implications for associated long-term environmental policies. It is shown that the optimal policy mix between adaptation and mitigation is lower for countries with higher economic efficiency for all applicable parameter ranges. Data calibration and numerical simulations are provided to estimate practical validity of theoretical outcomes. © 2012 Springer Science+Business Media Dordrecht.

Yatsenko Y.,Houston Baptist University | Hritonenko N.,Prairie View A&M University
International Journal of Production Economics | Year: 2015

The optimal asset replacement is analyzed when the future course of technological change is known on a limited future horizon. Comparison of factual and desired properties of known replacement methods leads us to the idea of how to improve their efficiency under changing technology reflected in decreasing operating and new asset costs. We introduce new modifications of the economic life and two-cycle variable-horizon methods by correcting their capital recovery factor. Next, we demonstrate that the modified methods deliver solutions equal or close to the infinite-horizon replacement under technological change. © 2014 Elsevier B.V. All rights reserved.

Hritonenko N.,Prairie View A&M University | Yatsenko Y.,Houston Baptist University
Energy Economics | Year: 2012

The paper examines long-term strategies of capital modernization under different assumptions about embodied technological change, energy regulation, and substitutability between energy and capital. To describe modernization of physical capital, the authors use a vintage capital model with the constant elasticity of substitution between capital and energy. The models take into account (i) availability of new more energy-efficient equipment under energy-saving technical progress, (ii) possibility of buying new capital with various combinations of energy parameters and prices, (iii) controlled scrapping of obsolete capital, and (iv) energy regulation quotas. The paper analyzes how the elasticity of substitution between capital and energy impacts the capital modernization policy. In particular, it is proven that the optimal lifetime of capital appears to be longer for a larger elasticity. © 2011 Elsevier B.V.

Hritonenko N.,Prairie View A&M University | Yatsenko Yu.,Houston Baptist University
Journal of Biological Systems | Year: 2012

An optimal harvesting problem is analyzed in the Lotka-McKendrick model of age-structured populations. Depending on the imposed constraints, this problem possesses bang-bang or impulse regimes, which have meaningful interpretations and relevant policy implications. A steady state analysis of the model produces closed-form solutions for the optimal sustainable harvesting in a new and an existing population. © World Scientific Publishing Company.

Yatsenko Y.,Houston Baptist University | Hritonenko N.,Prairie View A&M University
International Journal of Production Research | Year: 2016

We analyse the serial asset replacement problem under incomplete data about technological change that that affects the capital cost, operating cost and salvage value of newer assets. We construct an efficient discrete-time algorithm for this problem in the case where only partial information is available about future costs of new assets. The algorithm is based on introducing a corrected annual capital recovery factor into the classic Economic Life method. It produces the same lifetime of the first asset as the benchmark infinite-horizon cost minimisation when the operating cost, capital cost and salvage value of new assets decrease proportionally. The algorithm has the same complexity as the Economic Life method but performs much better under improving technology. Numeric simulation demonstrates a superior efficiency of the suggested algorithm vs. existing methods in practical situations when only few discrete measurements of technological change are available. © 2016 Taylor & Francis

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