Increase In Fuel Prices Research Articles

Policy implications of challenges and opportunities for district heating – The case for a Nordic heating system

District heating (DH) is an efficient urban heating solution. Numerous external factors (energy efficiency, fuel-price increases, heat -pump competition and policy changes) are challenging. It is relevant to explore long-term cost-competitiveness of DH. A model has been developed testing three, future DH pathways: (i) phase out of biomass (aligned to the cascading principle of the EU Taxonomy), (ii) including waste heat in the fuel supply mix (aligned to the updated Energy Efficiency Directive) and (iii) lower system temperatures (aligned to the idea of more renewables and waste heat).The model considers the long-term development of the supply and demand sides together and simultaneously. This allows the model to determine the most cost-efficient heating solution for different building types in different points in time.The results confirm that a phaseout of biomass would erode -but that developments rendering lower system temperatures and increased waste heat utilization would strengthen-the DH business case. Additionally, it is confirmed that heat pumps constitute the main competition to DH. Hence, to remain a cost-efficient heating alternative in the future, DH systems need to revisit the tradition of centralized heat supply resorting to combustion for decentralized heat supply resorting to heat supply on demand.

Implementation of Text Mining to Detect Emotions of Fuel Price Increase Using BERT-LSTM Method

Fuel is crucial for everyday life, especially as a primary source of transportation fueled by oil. In early April 2022, Indonesia experienced a significant event that deeply affected its populace: a surge in fuel prices. Addressing this pressing issue, this study employs emotion classification utilizing BERT and LSTM methods on social media data, particularly from platforms like YouTube, to categorize emotional responses to governmental decisions. This research aims to classify social media discourse surrounding fuel-related topics, notably the increases in fuel prices. The highest accuracy, at 95%, was achieved with oversampling techniques, contrasting with a mere 47% accuracy without oversampling. Surprisingly, experiments indicate that employing oversampling and BERT for emotion classification results in reduced accuracy during testing phases.

Framing Analysis of Increasing Fuel Prices News on cnnindonesia.com

This research discusses the framing of issues carried out by the online media cnnindonesia.com in reporting on the increase in fuel prices officially announced by President Joko Widodo. The aim of this research is to analyze the issue framing strategy used by cnnindonesia.com in packaging news about fuel price increases. This type of research is qualitative research using media text analysis techniques in the form of Robert N. Entman's framing model analysis of 18 news stories released by cnnindonesia.com on Saturday 3 September 2022. The results of the research show that the issue framing strategy used by cnnindonesia.com is in its reporting. provides a definition of the problem as a global economic problem and has an impact on social problems. An increase in the APBN is the cause of problems and places the government as an actor or source of problems. The moral decision was framed from the president's statement that it was difficult to make a decision regarding the increase in fuel prices and constructed the repressive actions of members of the National Police against demonstrators. Presenting a solution to the problem by framing a political narrative battle between the government and the opposition and explaining that the National Police Chief must be responsible for the repressive actions carried out by the police against students and workers in the action against the increase in fuel prices in all regions.

СКЛАДСЬКА ЛОГІСТИКА УКРАЇНИ ПІД ЧАС ВІЙНИ: ПРОБЛЕМИ ТА ІННОВАЦІЙНІ РІШЕННЯ

The article analyzes the changes that took place in the field of warehouse logistics in Ukraine during the war. In particular, the scale of the destruction of warehouses in different regions, changes in production volumes and turnover, the impact of fuel price increases and the shortage of logistics personnel are described. The necessity and specifics of the innovative restructuring of the country's warehouse logistics are substantiated. The study showed that since the beginning of the war, the warehouse and logistics infrastructure of Ukraine suffered significant losses. About 20% of warehouse space was destroyed. This caused a reorientation of logistics to the western regions, which raised demand and rental rates for warehouses. Destroyed warehouses that served large companies caused critical difficulties in the distribution of goods and redirected logistics flows to the west of the country. It was revealed that at the same time there was another shortage - personnel. The departure of workers abroad and mobilization led to a shortage of drivers and warehouse operators, which complicates the storage and transportation of goods. The shortage of drivers in the field of logistics has reached 25%. The war also caused a fuel supply crisis, which made it difficult to deliver humanitarian and other goods. Investing in mobility and automation of warehouse logistics is relevant for solving the problems. The government and partners are already discussing the creation of modern logistics hubs and industrial parks that will meet international standards.

Capital Market Reaction To The Announcement Of Fuel Price Increase On Stock Returns Of Lq 45 Transportation Sub-Sector In 2023

The research was conducted to find out the reaction of the capital market to the rise in BBM in transportation and logistics sector companies listed on the Indonesian Stock Exchange. This study is an event study or event that arises directly from the rise in the price of oil (BBM) on October 1, 2023, against the market reaction based on the actions of transportation and logistics companies. Abnormal Return and Trading Volume Activity are variables used to analyze reactions. The data collection method used in this research is the Quantitative Data Method. Observations were conducted for 5 days before and 5 days after the BBM rise on October 1, 2023, using the Wilcoxon Signed Ranks test with a sample of 10 companies and a data test of 110. On the test results, there were abnormal differences in return and trading volume activity before and after the rise in BBM prices, the results could help market participants understand market dynamics, find investment opportunities, and manage risk. With a rise in sales, this means investors respond to events so that the markets react. The findings support the theory of signals because investors see the announcement of a BBM rise as a signal that can affect the stock price.

Understanding integration issues in intelligent transportation systems with IoT platforms, cloud computing, and connected vehicles

<p>The fast improvements in information and communication technology have altered the transportation business, resulting in intelligent transportation systems (ITS) that aim to improve transportation network safety, efficiency, and sustainability. Cloud computing, networked automobiles, and IoT platforms are driving this shift. Infrastructure for current civilization must include transport. The effectiveness of transport infrastructure is vital for all countries’ individual mobility, trade, and economic development. Traffic congestion, fuel price increases, and CO<sub>2</sub> emissions have all increased in recent years, posing problems for modern civilization. It is crucial to improve transportation efficiency and safety. To develop a sustainable, intelligent transportation system, it is necessary to seamlessly integrate and interoperate with cutting-edge technologies like linked cars, the Internet of Things (IoT), and cloud computing. To respond to difficulties facing the transportation industry, which include rising fuel costs, high CO<sub>2</sub> emissions, expanding congestion in traffic, and greater dangers on the highway, integration concerns must be concluded.</p>

Fuel Price Increase: Unveiling the Torments and Agonies of the Transportation Sector — Basis for Policy Formation

This study aimed to investigate the impact of oil price hikes on the transportation sector in Padada, Davao del Sur. Utilizing a phenomenological approach and qualitative design, purposive sampling was conducted among fourteen participants from various transportation sectors. Data was analyzed through Data Reduction, Data Display, and Conclusion Verification, with assistance from a data analyst. The findings indicate that rising fuel prices significantly affect livelihoods and lifestyles, highlighting the broader impact of global issues on local communities. Additionally, increased oil prices have led to fare adjustments, impacting passengers' monthly budgets. The study suggests that government programs to support local transportation owners and drivers and initiatives for domestic oil exploration could mitigate these effects. Budget constraints and fuel price stabilization policies were also identified as relevant considerations for public administration. Consequently, it is recommended that the Local Government Unit of Padada, Davao del Sur, propose policies to address the impact of oil price increases on the transportation sector. Additionally, revising and strengthening Municipality Ordinance 003, Series of 2009, which allows for passenger fare adjustments based on daily oil prices, is advised.

Climate policy and inequality in urban areas: Beyond incomes

Opposition to climate policies is partly due to their impacts on inequality. But with most economic studies focused on income inequalities, the quantitative spatial effect of economic climate policy instruments is poorly understood. Here, using a model derived from the standard urban model of urban economics, we simulate a fuel tax in Cape Town, South Africa, decomposing its impacts by income class, housing type, and location, and over different timeframes, assuming that agents gradually adapt. We find that in the short term, there are both income and spatial inequalities, with low-income households or suburban dwellers more negatively impacted. These inequalities persist in the medium and long terms, as the poorest households, living in informal or subsidized housing, have few or no ways to adapt to fuel price increases by changing housing type, size or location, or transportation mode. Low-income households living in formal housing are also impacted by the tax over the long term due to complex effects driven by competition with richer households in the housing market. Complementary policies promoting a flexible labor market, affordable public transportation, or subsidies that help low-income households live closer to employment centers will be key to the social acceptability of climate policies.

Reaksi Pasar Modal Akibat Pengumuman Kenaikan Harga Bahan Bakar Minyak pada Saham LQ45 Bursa Efek Indonesia

The announcement of an increase in fuel prices is an informative event for investors and can influence share prices in the capital market. This research aims to determine the capital market reaction due to the announcement of an increase in fuel prices on September 3 2022. This research was conducted on companies listed on the BEI LQ45 index using a saturated sampling technique. The date for the event is set on Monday, September 5 2022, which is the first trading day after the announcement of the fuel price increase on September 3 2022 taking effect. The event period in this research is 7 trading days. Hypothesis testing in this research uses one sample t-test. The research results show that the announcement of the fuel price increase on September 3 2022 did not create significant abnormal returns around the event, which shows that the market is in an efficient condition in a semi-strong form.
 Keywords: Abnormal Return; Efficient Market Hypothesis; Fuel Price Increase; Capital Market Reaction; Signaling Theory

PELAKSANAAN UNDANG-UNDANG NOMOR 8 TAHUN 1999 DALAM PEDEMI COVID-19 TEHADAP JUAL BELI GAS LPG 3 KG MENURUT SYARIAH DI KECAMATAN BENGKALIS

The implementation of Law Number 8 of 1999 concerning consumer protection for selling and purchasing 3 kg LPG gas in the Bengkalis sub-district has yet to be protected. The business actors themselves do not know consumer protection laws. Many problems arise because of business actors, one of them business actors reducing the volume of LPG gas by 3 kg. Constraints in implementing consumer protection for buying and selling gas in the Bengkalis sub-district are caused by several obstacles. Consumers often have difficulty getting 3 kg LPG gas, significantly when fuel prices increase. This means that there are still many problems that occur in the field. Consumers also complain because so many get LPG gas and the tube volume is only half of the tube. There is no guarantee given to these consumers. Still, business actors admit that there needs to be more socialization by the government to the public so that the public is not aware of consumer protection laws, guarantees, and rights. The enactment of written law still makes rights as consumers not well realized. There are still many consumers who feel they are living in injustice committed by business actors to sell their wares because many business actors are looking to take advantage of the rights that these consumers should have

Stock Market Reaction to The Announcement of 2022 Fuel Price Increase on JII-30

ABSTRACT The growth of investors in the capital market always increases every year. The growth of investors in the capital market based on the Indonesian Central Securities Depository (KSEI) increased by 15.96% in 2022. As an investor, of course, the role of information is taken into account in making investments. The announcement of the fuel price increase is one of the available information and can be used as a reference in determining investment decisions. This study aims to determine the response of Jakarta Islamic Index 30 (JII-30) investors to the price increase (BBM) by observing the difference in abnormal returns and trading volume activity before and after the announcement of the 2022 fuel price increase. This research is quantitative and uses the event study method. Based on the research obtained results that between before and after the event occurred, abnormal returns and Trading Volume Activity (TVA) there was no significant difference influenced by the increase in fuel prices. This shows that there is no investor response to the announcements of the fuel price increase. Investors can be wiser and more careful in responding to announcement information and making decisions that will be applied in investing and investors can sort out in advance related announcements and issues as a consideration before making decisions in investing. Keywords: Abnormal Return, Stock Liquidity, Trading Volume Activity, Event Study. ABSTRAK Pertumbuhan investor di pasar modal selalu meningkat dalam setiap tahunnya. Pertumbuhan investor di pasar modal berdasarkan Kustodian Sentral Efek Indonesia (KSEI) meningkat sebesar 15,96% di tahun 2022. Sebagai seorang investor, tentunya peran informasi adalah salah satu yang diperhitungkan dalam melakukan investasi. Pemberitaan kenaikan harga BBM merupakan salah satu informasi yang tersedia dan dapat dijadikan acuan dalam menentukan keputusan dalam berinvestasi. Penelitian ini bertujuan untuk mengetahui respon investor Jakarta Islamic Index 30 (JII-30) pada kenaikan harga (BBM) melalui pengamatan terhadap perbedaan abnormal return dan juga trading volume activity antara sebelum dan sesudah pemberitaan kenaikan harga Bahan Bakar Minyak (BBM) 2022. Penelitian ini merupakan penelitian kuantitatif dan mengunakan metode event study. Berdasarkan penelitian diperoleh hasil bahwa antara sebelum dan setelah event terjadi, abnormal return dan Trading Volume Activity (TVA) tidak terdapat perbedaan signifikan yang dipengaruhi oleh kenaikan harga BBM. Hal tersebut menunjukan tidak adanya respon investor terhadap pemberitaan kenaikan harga BBM. Investor dapat lebih bijak dan cermat dalam menyikapi pemberitaan informasi dan mengambil keputusan yang akan diterapkan dalam berinvestasi serta investor dapat memilah terlebih dahulu terkait berita dan isu sebagai pertimbangan sebelum mengambil keputusan dalam berinvestasi. Kata Kunci: Abnormal Return, Likuiditas Saham, Volume Aktivitas Perdagangan, Event Study.

Sentiment Analysis to Measure Public Trust in the Government Due to the Increase in Fuel Prices Using Naive Bayes and Support Vector Machine

The study examines public sentiment on the government's fuel price policy using an experimental approach and Twitter data obtained through API scraping. It applies sentiment analysis methods like Naïve Bayes, SVM, and Majority Voting. SVM achieved 85% accuracy, excelling in identifying negative sentiments, while Majority Voting reached 70% by considering confidence levels. Naïve Bayes struggled with neutral sentiments. They are combining methods to enhance the understanding of public sentiments on fuel price changes. The study highlights sentiment analysis' effectiveness in gauging reactions to fuel policies, with SVM offering more profound insights into sentiments related to fuel price hikes. Challenges remain in identifying neutral sentiments due to social media text brevity. These findings underscore the contextual importance of interpreting sentiment analysis. Leveraging these insights, governments can understand public perceptions better and devise improved communication strategies for sensitive economic policies like fuel price hikes, fostering better government-citizen interactions. The study aims to guide stakeholders in comprehending public perspectives within public policy, emphasizing the relevance of sentiment analysis for policy evaluation.

The Impact of the Increase of Oil Fuel Price and Government Subsidy on Indonesia’s Economic Performance

The policy of increasing domestic fuel oil, as a consequence of rising world oil prices, has resulted in changing economic conditions, bearing in mind that oil prices and production are wrong macroeconomic assumptions and are included in the State Revenue and Expenditure Budget. This study aims to determine the impact of rising fuel prices and government subsidies on Indonesia's economic performance. The data used in this study are time series data from 2000 to 2022. Data were obtained from the Indonesian Central Bureau of Statistics, the Ministry of Energy and Mineral Resources, the Ministry of Finance, and Bank Indonesia. This study uses an econometric model using a system of simultaneous equations. The research results show that; The main factors that caused the increase in domestic fuel prices, including crude oil prices, gasoline, diesel, kerosene and aviation fuel, were the increase in world oil prices and the previous year's oil prices. The estimation results also show that the increase in gasoline and diesel fuel can increase the number of poor people, unemployment and inflation in Indonesia. The policy simulation results show that the increase in oil prices has a significant impact on increasing the number of poor people, increasing unemployment and inflation, if this increase is not followed by subsidies in the form of non-energy.

Road traffic mortality in Iran: longitudinal trend and seasonal analysis, March 2011-February 2020

Road traffic mortalities (RTMs) and injuries are among the leading causes of human fatalities worldwide, particularly in low-and middle-income countries like Iran. Using an interrupted time series analysis, we investigated three interventional points (two government-mandated fuel price increases and increased traffic ticket fines) for their potential relation to RTMs. Our findings showed that while the overall trend of RTMs was decreasing during the study period, multiple individual provinces showed smaller reductions in RTMs. We also found that both waves of government-mandated fuel price increases coincided with decreases in RTMs. However, the second wave coincided with RTM decreases in a smaller number of provinces than the first wave suggesting that the same type of intervention may not be as effective when repeated. Also, increased traffic ticket fines were only effective in a small number of provinces. Potential reasons and solutions for the findings are discussed in light of Iran’s Road Safety Strategic Plan.

Economic Impact of High Fuel Prices on the EU Fishing Fleet

Energy prices increased sharply because of the military invasion of Ukraine by Russia in February 2022, heavily impacting global economies. In 2022, the EU fishing sector paid on average about EUR 0.93 per liter of fuel; at the peak of the crisis in June, it paid EUR 1.2 per liter, around three times the normal average price. High fuel prices jeopardize the viability of the fishing sector, which is largely fuel-intensive and particularly vulnerable to fuel price increases. The European Commission responded with emergency measures, adopting a Temporary Framework for State aid rules and activating the crisis mechanism foreseen under the European Maritime, Fisheries and Aquaculture Fund (EMFAF). This communication aims to examine the economic impact of the high fuel prices and the financial support available to the EU fishing sector to assess the short-term and long-term sustainability of the EU fishing sector.

The energy-food dilemma for utilizing biofuels in low-income communities amidst the Russian–Ukrainian conflict

The Russian–Ukraine war has had and will continue to impact global energy and food security; this will increase the pressure on low-income communities due to rising food costs, as some food was used for energy (i.e. cooking oil). In addition to that, rising energy demand, fuel price increases, the need for energy security, climate change, and means of lowering greenhouse gas emissions are significant considerations in all ethical discussions, particularly when considering the human right to food; there is a tension between the usage of land and availability of water and the human need for fuel, such as biofuel. Although biofuels have the potential to alleviate energy difficulties, producing and consuming such fuels raises social, economic, technological, environmental, and ethical concerns due to ethical aspects such as Rights, Duty, Virtue, Utilitarianism, and Sustainability. Furthermore, all participants bear an ethical responsibility to ensure that biofuels are produced and used appropriately, taking into account citizens’ rights to nourishment, well-being, and employment, the environmental sustainability of such fuels, as well as their capacity to reduce greenhouse gas emissions and the equitable distribution of such fuels’ costs and benefits. Using human food to produce biofuels has raised several issues since it may jeopardize the human right to enough sustenance for healthy living. In contrast, current biofuel production and use do not meet environmental sustainability requirements.

Analisis Drone Emprit Kenaikan Harga BBM 2022 dalam Perspektif UU Keterbukaan Informasi Publik

In Indonesia, Twitter is a social media that is one of the means to find out the public's response to a policy or issue that is happening. Interactions through Twitter, such as posting tweets with specific hashtags, retweets, and likes can be known through Emprit Drone technology. Emprit drones are a technology for mapping social networks based on issues that are being discussed on Twitter. This study aims to determine the dominating public opinion towards the determination of fuel price increases and assess the role of the government in disseminating information on fuel price increases based on Law Number 14 of 2008 concerning Public Information Disclosure. The method used is a quantitative descriptive method to provide an in-depth and accurate picture. The results show that the dominating sentiment is negative sentiment which means that people tend to reject the increase in fuel prices. This negative sentiment is an indication of the government's improper behaviour in conveying information and policies to the public. Every post from Drone Emprit can be known to anyone who uses the real account and who uses the bot account. Overall, bot analysis shows Twitter accounts talking about the topic of fuel price increases have a bot score of 1,55. If the bot score is getting smaller, the number of accounts indicated as bots is getting less.
 Keywords: Drone Emprit, Public Information Disclosure Law, Fuel Price Increase

The impact of Fit for 55 on Ireland’s maritime transport sector and the macroeconomy

AbstractThe European Green Deal aims to reduce greenhouse gas emissions by 55% by 2030 and achieve a carbon neutral economy by 2050. The ‘Fit for 55 package’ includes a suite of new regulations and taxes to promote Renewable and Low Carbon Fuels (RLFs) in the maritime transport sector. We use a Vector Autoregressive model (VAR) to forecast the impact of higher marine fuel prices during the transition to RLFs on Ireland’s maritime transport sector and the broader Irish economy. Our analysis finds that higher marine fuel prices are expected to reduce Gross Value Added (GVA) in the maritime transport sector by nearly 8% by 2050, relative to a “no-policy-change” baseline. Our results indicate that fuel price increases will not have a material impact on overall economic activity. The negative impact on real output is projected to range from 0.09% in 2025 to 1.21% in 2050. The projected decline in real exports ranges from 0.17% in 2025 to 2.29% in 2050, while consumer prices will increase from 0.13% in 2025 to 1.72% in 2050.

The Preception of Trans Batam Pasenger Due to The Increase in Fuel Prices

Purpose: The development of world transportation modes is improving. facilities and infrastructure to be able to facilitate mobilization can now be accessed anywhere. Transportation also plays a role in the development of an area because the function of transportation can also be said to be one of the supports for the economy and regional development in an area. This research wants to find out the interest of Batam residents in Trans Batam due to the increase in fuel as an alternative to the use of daily transportation modes
 Design/methodology/approach: Data obtained from the results of the Trans Batam user questionnaire survey using the method of expressing preferences and using variables in the form of tariffs, timeliness, service quality, information availability, safety, comfort, cleanliness, availability of facilities, availability of routes, and interest in using Trans Batam. The survey results were then carried out a comparative analysis using a spider web model from questionnaire data that had been shared with 100 respondents.
 Findings: The survey results were then conducted in a comparative analysis using a spider web model from questionnaire data that had been shared with 100 respondents. The findings are that there are improvements in performance in tariffs, service quality, and availability of facilities. Meanwhile, on timeliness, information availability, and safety, there are no significant performance changes. However, there is a decrease in performance on the comfort, cleanliness, and availability of routes. The conclusion obtained from the results of this study is that there is an increase in interest of Batam residents in Trans Batam due to the increase in fuel prices.
 Research limitations/implications: Most of the data collection in the implementation of this research was carried out by distributing questionnaire links anonymously, so it is possible that there were respondents who filled them out at random so that the quality of the data was lacking.
 Practical implications: Tariffs are the main factor for potential consumers in choosing public transportation modes. There are also two other factors contributing to the increasing interest of Batam residents in Trans Batam, that is the quality of service and the availability of facilities.
 Originality/value: This paper is an original work.
 Paper type: Research paper

Sentiment Classification of Fuel Price Increase With Gated Recurrent Unit (GRU) and FastText

Sentiment Classification of Fuel Price Increase With Gated Recurrent Unit (GRU) and FastText