Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism

Li, Jiaquan; Mi, Zhifu; Wei, Yi‐Ming; Fan, Jing-Li; Yang, Yang; Hou, Yunbing

doi:10.1007/s11027-019-09857-6

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…After June 2015, the exchange rate has changed a lot, and the overall trend is increasing. Technological advancement. Technological advancement can not only improve the quality and output of bulk commodities but also reduce energy consumption and environmental pollution (Li et al, 2019). This helps to reduce commodity prices.…”

Section: Methods and Model Specificationmentioning

confidence: 99%

Large fluctuations of China's commodity prices: Main sources and heterogeneous effects

Lin

2020

Int. J Fin Econ

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Assuming that the economic variables obey the normal distribution, existing studies often use traditional mean models to explore commodity prices. In fact, the distribution of economic data is often skewed. When the economic data is left‐biased or right‐biased, the quantile regression can more fully characterize the distribution of economic variables, and thus obtain a comprehensive analysis result. Moreover, the coefficient estimates of the quantile regression are more robust than those in the ordinary least squares regression. Therefore, this paper uses the quantile regression method to investigate commodity price fluctuations. The results show that the money supply has a greater impact on commodity prices in the lower 10th and 10th–25th quantile groups. Among all quantile groups, the impact of international oil prices on commodity prices in the upper 90th quantile group is the highest. The effect of the exchange rate in the 25th–50th quantile group is greater than those in other quantile groups. However, the real economy has a minimal impact on the 25th–50th quantile group. Thus, the heterogeneous effects of these influencing factors should be taken into consideration when stabilizing commodity prices.

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Section: Methods and Model Specificationmentioning

confidence: 99%

Large fluctuations of China's commodity prices: Main sources and heterogeneous effects

Lin

2020

Int. J Fin Econ

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“…He used the Monte Carlo method to display the NPV distribution function of the project and to analyse the sensitivity of key economic and production variables, thanks to which he also took into account possible uncertainty. The Monte Carlo method was used by Li et al (2019) in their study focused on a coal-fired power plant project. In conjunction with the Monte Carlo method, he also applied NPV.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Efficiency of the Investment Objective of Changing the Soil Tillage System Under the Conditions of a Specific Company

Repiský,

Múčka

2024

Rural Development 2019

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The topic of the research is based on the possibility of improving the economic results in crop production by changing the tillage technology. The aim of the paper is to compare the effectiveness of the investment objective of buying a new seeder that allows the use of strip till technology and the existing minimization method of tillage in the conditions of a specific company. The company owns the other necessary mechanization. Investment objectives are developed in a Microsoft Excel spreadsheet using its @Risk add-on. Variant solutions are developed using a different ratio of utilization of land cultivation methods and subvariant in a different combination of financing the investment plan. Using the net present value (NPV) criterion, the deterministic efficiencies of individual variants of investment plans are compared in the conditions of a small, medium and large enterprise. Based on the obtained results, we can conclude that the original variant minimization method of tillage achieves better NPV values in the conditions of a small business compared to the other variants in which the purchase of a new seed drill is assumed. However, what is significantly more efficient compared to the original method of soil cultivation are the subvariants that use strip-till technology, but count on sowing as a form of services. In the conditions of a medium-sized and large company, if the share of strip-till technology is calculated to be higher than 30%, it is already more advantageous to acquire a seed drill compared to the original variant. However, the best variant in the case of a medium-sized enterprise is still the variant with the realization of sowing in the form of services, but in the conditions of a large enterprise it is already the variant counting on the procurement of its own seed drill. The results obtained by the simulation analysis fully confirmed the conclusions from the deterministic efficiency evaluation. In the comparative comparison, the stochastic dominance rule of the first degree was applied in most cases, with a preference for variants of new technology, but with the provision of sowing in the form of services in the conditions of a small and medium-sized enterprise and in the conditions of a large enterprise by purchasing one's own seeder.

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A social learning approach to carbon capture and storage demonstration project management: An empirical analysis

et al. 2021

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Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism

Cited by 6 publications

References 28 publications

Large fluctuations of China's commodity prices: Main sources and heterogeneous effects

Large fluctuations of China's commodity prices: Main sources and heterogeneous effects

Assessment of the Efficiency of the Investment Objective of Changing the Soil Tillage System Under the Conditions of a Specific Company

A social learning approach to carbon capture and storage demonstration project management: An empirical analysis

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