Factors of investment in renewable energy and energy efficiency in Algeria

Chikhi, Manal Soulaf; Bouchetara, Mehdi; Zerouti, Messaoud

doi:10.2478/eoik-2022-0020

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…The high level of domestic consumption despite the dramatic increase in global oil prices is due to the high oil revenue and large fuel subsidies. Saudi subsides have registered an increase from US$2 billion and US$3 billion in gasoline and diesel in 2004 to US$14 billion and US$15 billion in 2012 (Charles, Moerenhout, & Bridle, 2014;Chikhi et al, 2022). As a result of the large fuel subsidies, the domestic prices of fuel have for long time been of the lowest in the world.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Oil Price Volatility on Food Prices in Saudi Arabia: Insights From Nonlinear Autoregressive Distributed Lags (NARDL) Analysis

Darwez,

Alharbi,

Ifa

et al. 2023

Economics

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This research investigates the impact of oil price fluctuations on food prices in Saudi Arabia between 1979 and 2020 using Nonlinear Autoregressive Distributed Lags (NARDL) methodology. The study employs Augmented Dickey Fuller (ADF) and Phillips Perron (PP) tests to determine the integration order of the variables and Bounds testing to confirm the existence of long run cointegration relationships between each variable. The results indicate that oil shocks influence food prices through several mechanisms. Firstly, the cost of energy increases due to the rise in oil prices, affecting the agricultural commodity market, including farm equipment, food processing, packaging, and distribution costs. Secondly, the demand for agricultural commodities to produce biofuels affects food availability and thus food prices. Thirdly, as an oil-based economy, the oil price shock affects food prices through its impact on government spending, which affects aggregate demand and liquidity. Therefore, Saudi Arabia should adopt appropriate policies to mitigate the impact of oil price shocks on food prices, including investing in renewable energy sources, diversifying its economy, and improving food production and supply chain efficiency. Additionally, implementing appropriate fiscal policies to ensure sufficient budget allocation for food support programs is crucial. However, Investing in groundwater exploration can contribute significantly to the development of Saudi agriculture and to gradually achieving food self-sufficiency.

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Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Oil Price Volatility on Food Prices in Saudi Arabia: Insights From Nonlinear Autoregressive Distributed Lags (NARDL) Analysis

Darwez,

Alharbi,

Ifa

et al. 2023

Economics

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“…In this way, the farmer wants to ensure additional security by taking additional services from insurance companies [ 31 ]. The reason for this is climate change [ 50 ], which is increasingly affecting agricultural production. Based on these reasons, future research should consider using an adaptive network-based fuzzy inference system (ANFIS) since algorithms applying this system have proven to be efficient in decision support [ 51 ].…”

Section: Discussionmentioning

confidence: 99%

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Puška

Lukić²,

Božanić

et al. 2023

Entropy

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Crop insurance is used to reduce risk in agriculture. This research is focused on selecting an insurance company that provides the best policy conditions for crop insurance. A total of five insurance companies that provide crop insurance services in the Republic of Serbia were selected. To choose the insurance company that provides the best policy conditions for farmers, expert opinions were solicited. In addition, fuzzy methods were used to assess the weights of the various criteria and to evaluate insurance companies. The weight of each criterion was determined using a combined approach based on fuzzy LMAW (the logarithm methodology of additive weights) and entropy methods. Fuzzy LMAW was used to determine the weights subjectively through expert ratings, while fuzzy entropy was used to determine the weights objectively. The results of these methods showed that the price criterion received the highest weight. The selection of the insurance company was made using the fuzzy CRADIS (compromise ranking of alternatives, from distance to ideal solution) method. The results of this method showed that the insurance company DDOR offers the best conditions for crop insurance for farmers. These results were confirmed by a validation of the results and sensitivity analysis. Based on all of this, it was shown that fuzzy methods can be used in the selection of insurance companies.

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“…Wind turbines possess more power than solar panels, so wind energy is used to produce high-capacity electricity. However, wind turbines depend on wind, while solar panels can generate electricity throughout the day (Chygryn et al, 2021;Soulaf et al, 2022). Besides, some countries have greater potential for generating energy from the sun, while others have wind or hydropower.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Formation of the Model of Sustainable Economic Development of Renewable Energy

Dluhopolskyi,

Kozlovskyi,

Popovskyi

et al. 2023

Economics

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The article considers the use of sustainable energy as a potentially effective alternative energy source capable of replacing traditional natural fuels. The aim of the research is to develop a complex model of sustainable economic development able to promote introducing and expanding sustainable power engineering as potential alternative energy source, providing sustainable economic development, energy efficiency and reducing damages to the environment. The hypothesis lies in introduction of a model for sustainable economic development due to expansion of renewable energy which will result in economic growth, rise in energy efficacy and reducing hazards to the environment. A comparative analysis of costs and revenues of various types for using energy sources was carried out to estimate the economic efficiency and feasibility of renewable energy. The data analysis toolkit uses MS Power BI software, in which the data model was created. The conducted regression analysis provided valuable nu-merical and practical results on formation of the model of sustainable economic development of renewable power engineering. The research is based on the analysis of the impact “share of energy” on the level of electric energy import and CO2 emissions. It is recommended to intensify efforts to develop renewable energy as a key direction for sustainable economic development to ensure energy security, reduce negative environmental impact and achieve global sustainable development goals.

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Factors of investment in renewable energy and energy efficiency in Algeria

Cited by 4 publications

References 24 publications

Assessing the Impact of Oil Price Volatility on Food Prices in Saudi Arabia: Insights From Nonlinear Autoregressive Distributed Lags (NARDL) Analysis

Assessing the Impact of Oil Price Volatility on Food Prices in Saudi Arabia: Insights From Nonlinear Autoregressive Distributed Lags (NARDL) Analysis

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Formation of the Model of Sustainable Economic Development of Renewable Energy

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