Lahjie AM, Lepong A, Simarangkir BDAS, Kristiningrum R, Ruslim Y. 2018. Financial analysis of dipterocarp log production and rubber production in the forest and land rehabilitation program of Sekolaq ...Muliaq, West Kutai District, Indonesia. Biodiversitas 19: 757-766. The Dayak community of East Kalimantan in the last decade has begun to develop production systems that integrate forest timber tree species into plantation commodity enterprises. They have become aware that the natural forest species of their surroundings such as Meranti (Shorea sp.) and Kapur (Dryobalanops aromatica) are often easier to exploit economically, and represent potentially cheaper investments, than are introduced plantation crops such as rubber (Hevea brasiliensis). This is because the price of rubber latex has decreased over the years and has ceased to give a financial return commensurate with the investment required to develop rubber as a monocrop. The research described in this paper aimed to evaluate the viability of a dipterocarp forest/rubber plantation system cultivated by people in the West Kutai District of East Kalimantan. The viability of the system was evaluated by (i) measuring its production of dipterocarp logs and natural rubber; (ii) determining the diameter distribution of its dipterocarp trees and (iii) assessing the financial feasibility of the dipterocarp/rubber system using the theories of increment production and basal area applied to the determination of Pay Back Period, Net Present Value (NPV), Net Benefit Cost (B/C) ratio and Internal Rate of Return (IRR). The research areas on which the evaluation was performed consisted of (1) a mixed population of Shorea spp. (Meranti) and rubber (Hevea brasiliensis) and (2) a mixed population of Dryobalanops aromatica (Kapur) and rubber. The growth analysis of Shorea spp. combined with rubber as well as D. aromatica combined with rubber at the planting distance of 5m x 5m showed that the maximum cycle was reached at the age of 40 years. Whereas the rubber trees in monoculture cultivation reached their maximum cycle at the age of 17 years. The optimum increment of MAI and CAI of Shorea spp. combined with rubber reached 3.61 m3 ha-1 year-1 and 3.62 m3 ha-1 year-1 respectively. The maximum increment of MAI and CAI of Dryobalanops aromatica combined with rubber reached 3.09 m3 ha-1 year-1 and 3 m3 ha-1 year-1 respectively.
This research aims to determine the costs, receipts, business advantages, and business feasibility of food Small Medium Enterprise (SMEs). The primary method used in this study is analytical ...descriptive with survey techniques. This research involved food SMEs entrepreneurs in Sukoharjo Regency with several 50 respondents. The sampling method uses a simple random sampling method. Data is obtained by interview and observation methods. The analytical techniques used are profit analysis, R/C ratio, liquidity analysis, solvency, business rentability, and risk analysis. The results showed that the RoA value was 12.102% so that the Food SMEs in Sukoharjo Regency showed possible outcomes to be developed. SMEs' solvency value represents a figure of 0.016%, based on creditors funding the business of 0.016% of the total assets held.
•Application of the even tree method for an evaluation of the financial performance of power plants.•A method for granular assessment of the operation and maintenance costs of power plants and ...related financial consequences.•Improved estimation of the recoverable amount of power plants by assessing value-in-use.
Reliability and risk analyses in engineering have seldom been linked to financial analyses despite the significant role that risk assessment plays in the field of finance. Cash flow analyses for power plants typically do not account for contingent and successive events. Hence, the related financial assessments rarely incorporate a quantification of the adverse effects resulting from the combination of subsequent failures that could lead to extreme outcomes. The proposed approach aims to address this gap by employing the event tree method.
The novel contribution lies in introducing an event tree-based method that enables a granular evaluation of the financial performance of power plants and can serve as a foundation for the development of a variety of sensitivity and optimization analyses. The method enhances the accuracy of financial performance estimates by specifically targeting the assessment of operation and maintenance costs. The results show the importance of an improved assessment of the expenses related to equipment failures, which are approximately one-third of the revenue and add up to around 380,000 EUR for the lifespan of а photovoltaic plant with an installed capacity of 1 MW.
Abstract
The swift development and transformation of emerging technologies such as augmented reality, robotics, biometrics and 3D printing place varying degree of pressure to the electronic industry ...to play a trailblazing role in making the world a smarter place of living. The concept of smart city increases the demand for the upgrades and sophistication of electronic components. Shorter product life cycles of personal and commercial electronic products also keep the electronic companies in a never-ending loop for huge investments in materials, equipment and expertise. Electronic companies in Malaysia are still facing financial stress in their operations. Therefore, this paper aims to optimize the financial management of listed electronic companies, namely D&O, GTRONIC, UNISEM and VITROX with asset, liability, equity, earning, profit and optimum management item as the objectives using goal programming model. The benchmarks of all the goals are obtained by comparing the maximum and minimum values of the optimal values of these companies. The results of this study show that the goal programming model is able to generate the optimal solution for each company. Besides liability and earnings, all the goals have been attained by these companies upon analysis using goal programming. Possible refinement values particularly for liabilities for all the companies have been generated from this model to provide insights for these companies to benchmark for risk alleviation and strategic decision making.
•Develop a novel approach called SEH that represents multi-carrier energy systems operating in the SG environments.•The optimum size of the important equipment of SEH such as transformers, ACHs, ...boilers, and CHP have been considered.•An RL method has been proposed to solve the optimization issue in this article, and also the problem is described as reward function, action space, and state space.•Three criteria as net present value (NPV), rate of return (ROR), and dynamic payback period (DPP) have been applied to approximate the efficiency of the project in the Discounted cash flow (DCF).•The residential customer as an SEH is considered to validate the proposed optimization approach.
Getting equipped by highly new smart technologies, Energy Hubs (EHs) and Smart Grids (SGs) are gaining interest these days. Energy management will advance over time as a result of the interaction impact among power and natural gas grids, and the use of smart technology for communications. The present study proposes a novel approach entitled Smart EH (SEH) for modeling multi-carrier energy systems in SG environments. Furthermore, this paper determines the optimum management and sizing of combined heat and power, auxiliary boiler, absorption chiller, as well as transformer unit as the essential components of an SEH. It is difficult to address the requirements of SGs with most conventional load scheduling algorithms because they lack robustness and performance in complex environments. An evaluation of the benefits and costs of optimizing such parameters was carried out in this paper and the Reinforcement Learning (RL) algorithm is applied to solve the optimization problem. An individual user in a dynamic electrical market was examined as an SEH in support of the suggested approach. According to simulation outcomes, the suggested method is effective regarding time efficiencies and load variations.
Our objective is to penetrate the "black box" of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct ...18 follow-up interviews covering a wide range of topics, including the inputs to analysts' earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All-Star status, and the factors they consider indicative of high-quality earnings. One important finding is that private communication with management is a more useful input to analysts' earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10-K and 10-Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts' credibility with their investing clients. We conduct cross-sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts' inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.
Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in ...the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles that leverage NLP techniques to predict financial markets are fast accumulating, gradually establishing the research field of natural language based financial forecasting (NLFF), or from the application perspective, stock market prediction. This review article clarifies the scope of NLFF research by ordering and structuring techniques and applications from related work. The survey also aims to increase the understanding of progress and hotspots in NLFF, and bring about discussions across many different disciplines.
•First time the solar-wind-biogas-VRFB integrated micrgrid is modeled and validated.•The capacity optimization and energy management with lowest LCOE is done by HOMER.•Peak load shaving with optimal ...sources and grid is shown by PSCAD using real data.•Optimal schedule of renewable sources and VRFB ensures zero LPSP at consumer end.•Financial study of hybrid microgrid demonstrates project viability and up scaling.
Uninterrupted access to electric power has become the basic need of today’s world. Rural parts of many countries still do not have access to electricity or have electric power access to weak distribution grids with inadequate transmission and distribution system infrastructure. However, the countries where there is an abundance of solar radiation, a good potential of bio-degradable waste and average availability of wind source, access to electricity for those remote areas can be managed by distributed power generation. Considering the fact that the renewable energy sources (Solar, Wind etc.) are intermittent in nature, battery energy storage systems (BESS) and other reservoirs like biogas energy sources are the potential candidates to be integrated with the renewable sources to ensure continuous access to electricity and energy security. In this paper, a unique combination of Solar PV, Wind, Biomass and Vanadium Redox Flow Battery (VRFB) storage integrated hybrid Microgrid has been modeled and implemented practically for the first time. The capacity selection of different renewable sources for satisfying daily energy demand and their techno-commercial optimization has been performed through HOMER simulation. Further, the peak load shaving that is a limitation of HOMER model, has been established through PSCAD simulation by providing the real life data of different renewable sources, VRFB storage and the load profile as input to the model. The simulation model performances have been validated by a practical 10 kWP solar PV, 1 kW wind and 15 kVA Biogas generator integrated with 1 kW 6 h VRFB storage based Microgrid installed at India Institute of Engineering Science and Technology campus, India. In addition to these, zero loss of power supply probability (LPSP) has been ensured by implementing smart scheduling and controller considering the intermittency of the renewable sources. As a part of the financial analysis, project Investment on Return (IRR) and pay back has been calculated considering initial investment, operation and maintenance cost and revenue of generation.
This paper is concerned with the existence of the solution to mixed-type non-linear fractional functional integral equations involving generalized proportional (κ,ϕ)-Riemann-Liouville along with ...Erdélyi-Kober fractional operators on a Banach space C(1,T) arising in biological population dynamics. The key findings of the article are based on theoretical concepts pertaining to the fractional calculus and the Hausdorff measure of non-compactness (MNC). To obtain this goal, we employ Darbo's fixed-point theorem (DFPT) in the Banach space. In addition, we provide two numerical examples to demonstrate the applicability of our findings to the theory of fractional integral equations.
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