Price Effects Research Articles

Kualitas Jaringan dan Harga terhadap Minat Beli Kartu Telkomsel pada CV. Sinar Telekom Lahat

This study aims to investigate the effect of network quality and price partially and simultaneously on the purchase interest of Telkomsel cards at CV. Sinar Telekom Lahat. The data analysis method used is quantitative using multiple linear regression, where the model equation is Y = a + b1X1 + b2X2 + e. The results of the t-test analysis show that network quality (X1) has a significant effect on purchase interest (Y), while price (X2) does not have a significant effect on purchase interest (Y) of Telkomsel cards at CV. Sinar Telekom Lahat. Furthermore, the F test shows that simultaneously, network quality (X1) and price (X2) have a significant effect on purchase interest (Y). Conclusion, This study contributes to the understanding of the factors that influence consumer purchase interest in Telkomsel cards in a specific business environment. The implications of the results of this study can be used as a basis for a more effective marketing strategy to increase purchase interest in Telkomsel cards in the local market. Keywords: Price, Network Quality, Purchase Interest

Testing the Emissions Reduction Effect of Carbon Pricing: A Predictive Analysis of the Role of Speculation

We employ both ex-post and ex-ante approaches to determine the role of speculation in the emissions reduction effect of carbon pricing and its forecasting power in the predictability of climate change. We use several verifiable econometric approaches to select the Feasible Quasi Generalised Least Squares (FQGLS) as the best estimator for addressing some of the biases in climate change predictability. We demonstrate that a predictive model combining the complementing dynamics of carbon pricing forecasts climate change more accurately. We demonstrate the robustness of our findings for both in-sample and out-of-sample forecasts and across different forecast horizons.

Does carbon pricing policy improve energy efficiency? New evidence from Canadian provinces

ABSTRACT Given the increasing damage effect of climate change, the Canadian government has taken a further step to ensure that carbon pricing is implemented in all provinces to reduce its GHGs emissions as a means of addressing climate change. Thus, this paper examines the effect of carbon pricing on energy consumption which is the main source of CO2 emission to enhance our understanding beyond carbon-pricing effects on households and revenue recycling in the prior research. Our study analyzes the energy efficiency of Canada using the province-level data between 2000 and 2021, by developing an SFA production model to understand the drivers of energy consumption and then compute the total factor energy efficiency index while controlling for the role of carbon pricing. Our empirical results reveal that increased labor input, as well as output, mitigate the rising capital-induced energy consumption, while carbon pricing policy plays no significant role in influencing energy consumption. However, the effectiveness of carbon pricing is found in reducing province-level energy efficiency. This striking evidence suggests that policymakers should consider a labor-oriented energy saving scheme and conduct a comprehensive review of the current carbon pricing policy in order to align with energy efficiency interventions toward the achievement of Canada’s Paris Agreement targets.

Pengaruh Kualitas Produk dan Harga terhadap Minat Beli Santri Asrama Ar-Raudhoh Cetakan Toko At-Tazkiyah HM Al-Mahrusiyah Lirboyo Kota Kediri

This study aims to determine the effect of quality and price on buying interest of As-arroudho lirboyo Kediri students. The book is one of the most important needs for students. Sehimgga kitab itself is also a product that is always needed by students. The method used in this research is a quantitative method. Quantitative research is research conducted by collecting data from a list of structured questions (questionnaire). Data collection techniques by distributing questionnaires, and observation. While analyzing the data using validity and reliability tests and normality and homogeneity followed by kendall tau correlation: 1) quality has an effect on buying interest with the results obtained a value of 0.726 with a significance of 0.346. This means that 0.726 <0.05 so it can be concluded that the hypothesis has a very high significance relationship. And quality there is an influence between the two variables. 2) price on buying interest with the results obtained a value of 0.709 with a significance of 0.379. This means that 0.709 <0.05 so it can be concluded that the hypothesis is accepted and the price has an effect on the students' buying interest in the alfiyah book in the At-Tazkiyah lirboyo kediri shop. 3) The results of the correlation test show that the two variables quality and price have an effect on buying interest. This is indicated by the quality variable (X1) in the alfiyah book printed by the At-Tazkiyah store obtained a value of 0.726 with a significance of 0.346. This means that 0.726 <0.05. While the variation variable (X2) in the printed alfiyah book of the At-Tazkiyah store obtained a value of 0.709 with a significance of 0.379. This means that 0.709 <0.05 So it can be concluded that the hypothesis is accepted, meaning that quality and price have an effect on santri buying interest in the alfiyah book in the At-TAzkiyah Al-mahrusiyah shop in Lirboyo Kediri City. Keywords: Farming, Oil Palm, Revenue.

Pengaruh Kualitas Pelayanan, Produk dan Harga terhadap Minat Beli pada Toko Online

This study aims to determine the effect of service quality, product and price on buying interest in Shopee Online stores in Palopo City. The sampling technique used in this study was purposive sampling technique. The research subjects used were individuals who had bought at the Shopee Online store, amounting to 90 respondents. The analytical tool used in this study is multiple linear regression analysis. To get the test results in this study, a classic assumption test is done, namely the normality test, the heterokedaticity test, and the multicorrelation test. Then hypothesis testing is performed. In this study the results of the Determination Test (R2) variable Service Quality, Products and Prices affect the purchase interest of 0.758 or by 75%, the rest is influenced by other variables by 25%. Simultaneously or together variable Service Quality, Products and Prices have a positive effect on the variable Purchase Interest. While partially (t test) the variable quality of service, product and price has a positive effect on buying interest in Shopee Online Store.

The Influence of Service Quality, Price, and Electronic Word of Mouth on Visit Intention

The purpose of this study was to examine and analyze the effect of Service Quality, Price, and Electronic Word of Mouth on Visit Intention (a study of potential tourists at Selecta Recreation Park). The population in this study was someone who had never visited Selecta Recreation Park, with a sample of 200 respondents. The characteristics of the respondents are prospective tourists who are in Malang Raya and have never visited Selecta Recreation Park but know Selecta Recreation Park from Social Media Instagram, aged 17-40 years. The sampling technique uses purposive sampling. This research was conducted from June to July 2023 by distributing online questionnaires via Google Form. Data analysis techniques using multiple linear regression, t test, and dominant test. The results of this study conclude that Service Quality, Price, and Electronic Word of Mouth (E-WOM) have a positive and significant effect on Visit Intention. E-WOM has a dominant influence on Visit Intention.

Analysis of the Effect of Price and Quality on Repurchase Intention through Customer Satisfaction on Imported Vegetables in Batam

This study examines the repurchase intention of imported vegetables in Batam City by analyzing consumer satisfaction, price, and quality as factors influencing repurchase intentions. Path analysis with SmartPLS was used to test the hypothesis. The sample used in this study was 199 respondents. The results showed a positive relationship between customer satisfaction and repurchase intention, there was no relationship between price and repurchase intention and showed that quality was positively related to repurchase intention. The results also show that there is a significant influence between quality on repurchase intentions through customer satisfaction. However, customer satisfaction failed to mediate the relationship between price and repurchase intention.

The Influence of Promotions and Prices on The Decision to Purchase Facial Makeup Services at The Hellobeauty Marketplace Service

With the aim of increasing sales of beauty services on the HelloBeauty marketplace . Such actions have a positive impact on business, especially in the beauty industry, and can contribute to the achievement of educational goals in this field. The method used in this research is a quantitative method with analysis to determine the effect of promotion and price as independent variables in influencing purchasing decisions for facial makeup services as the dependent variable. The variables in this research are promotion and price as independent variables (X) and purchasing decisions as the dependent variable (Y). Based on the results of the research and analysis that has been carried out, promotions have a positive and significant effect on purchasing decisions for makeup services on the Hellobeauty marketplace. Price has a positive and significant effect on the decision to purchase makeup services on the Hellobeauty marketplace.Keywords: promotions, sales, marketplace, services, facial make-up

Implied threats of the Red Sea crisis to global maritime transport: amplified carbon emissions and possible carbon pricing dysfunction

Recent military acts in the Red Sea and Gulf of Aden are forcing merchant ships to reroute, thereby driving up international shipping rates, prolonging delivery dates, and causing additional greenhouse gas emissions. Utilizing the European Union (EU) Monitoring, Reporting, and Verification emissions database and real time Automatic Identification System data, this study conducted frequency analysis and causative investigation on container ships circumnavigating the Cape of Good Hope. The findings indicate that the current policy framework under the EU Emissions Trading System (EU-ETS) poses a higher risk of carbon leakage, particularly for medium and small-sized container ships, thereby undermining the effectiveness of the nascent EU maritime carbon pricing. If the crisis continues, combined with anticipated tighter emission regulations, this risk is expected to escalate. International maritime policy administrators should make timely adjustments in response to the chain reactions caused by war, enhancing the robustness of cross-regional carbon pricing.

Effect Of Service Features, Price, And Service Quality on Online Customer Satisfaction

Effect Of Service Features, Price, And Service Quality on Online Customer Satisfaction

Analysis of The Effect of Halal Labelization, Brand Image and Prices on Consumer Purchasing Decisions With Religious As Moderating Variables on Coastal Honey in Kertasada Village, Sumenep District

The need for honey in Indonesia alone reaches an average of 150,000 tons per year. This means that Indonesia has to import around 50% of its honey from abroad to meet this demand. This could also be an opportunity for local entrepreneurs to develop their honey business. Even though it seems traditional, the honey business opportunity has undergone modernization and development, from marketing to the processed honey itself. Coastal Honey is a honey bee cultivation business located in Kertasada Village. Coastal Honey, which has been established for around 8 years, is a business that has great prospects with profits increasing almost every year, coupled with the existence of resellers in various regions of Indonesia. The purpose of this research is to research and analyze the influence of halal labeling, Brand Image and Price on Consumer Purchasing Decisions with Religiosity as Moderating Variable on Coastal Honey in Kertasada Village, Sumenep Regency. This research is a quantitative exploration, with the population being the people of Sumenep, especially people who buy Coastal Honey. The testing strategy in this review uses purposive sampling testing, specifically determining samples with certain standards, especially consumers who buy Coastal Honey. Interviews and direct observations with the owner Coastal Honey and distributed questionnaires to 100 respondents which were used to collect data. As well as using data analysis techniques, namely Descriptive Statistics Test, Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Test, Coefficient of Determination Test and Hypothesis Test. The results of this research show that the Halal Labeling variable, Brand Image, Price and Religiosity have a significant effect on Purchasing Decisions partially and simultaneously. And the moderation results show that Religiosity moderates the relationship between Halal Labeling, Brand Image and Price on Purchase Decisions.

The Influence of Reference Coal Prices, Earnings per Share, and Dividend per Share on Stock Prices in Coal Industry Companies in 2017-2022

This study aimed to analyze the effect of Reference Coal Price (HBA), earnings per share, and dividends per share on stock prices in coal industry companies in 2017-2022. The study used energy sector companies in the coal production industry sub-sector listed on the IDX for the 2017-2022 period as the object of research, using a sample of 13 coal industry companies that met the predetermined sample criteria and an observation period of 6 years so that the observation data amounted to 50 data. The data collection method uses secondary data taken from the company's financial statements from the Indonesia Stock Exchange (IDX) and the official website of each company sampled. The analysis methods used in this research are descriptive statistical analysis, normality test, multiple linear regression analysis, and hypothesis testing. Based on the results of data analysis and hypothesis testing, it shows that the HBA variable has a negative effect on stock prices, while the EPS and DPS variables have a significant positive effect on stock prices.

The Effect Of Service Quality And Price On Satisfaction Mediated By Priority Customer Purchasing Decisions At Permata Bank Jewel South Jakarta Branch

This study investigates the influence of service quality, price, and purchasing decisions on customer satisfaction. The findings indicate that service quality positively impacts customer satisfaction, with improvements in service quality leading to higher customer satisfaction. Similarly, price has a positive effect on customer satisfaction, where appropriate pricing strategies enhance customer satisfaction. Additionally, purchasing decisions are shown to positively influence customer satisfaction, suggesting that effective purchasing decisions increase customer satisfaction. The research further reveals that service quality positively affects purchasing decisions, indicating that better service quality encourages favorable purchasing decisions. Price also demonstrates a positive effect on customer satisfaction, reinforcing the importance of strategic pricing. Moreover, the study highlights the mediating role of purchasing decisions in the relationship between service quality and customer satisfaction, as well as between price and customer satisfaction. In summary, the study concludes that enhancing service quality and adopting strategic pricing can significantly improve customer satisfaction, with purchasing decisions serving as a key mediating factor in these relationships.

Pengaruh Harga dan Ukuran Kemasan Terhadap Minat Beli Konsumen Pada Produk Es Teh Solo Jumbo

The competition in the beverage business is getting tighter along with the increasing activity of the population. One of the successful beverage products on the market is EsTeh Solo Jumbo. This iced tea is usually sold at an affordable price, which is around Rp3,000 to Rp4,000 per glass. In addition to its affordable price, Es Teh Solo also has a fairly large packaging size, so it is expected to be able to attract consumer interest. This study examines the effect of price and packaging size on consumer interest in Es Teh Solo beverage products. The research population consists of 40 people, all genders, who have purchased Es Teh Solo products. The data was obtained by distributing questionnaires to 40 Muslim students in Banten. Based on the research, consumer interest in Es Teh Solo has a positive and significant impact on price and packaging size.

Influence of Convenience, Usability, Price, and Promotion on Reuse Intentions: Muslim Awareness Moderation

Online transportation has transformed the transport industry by offering practical and innovative solutions embraced by the public. This study evaluates the impact of ease of use, usefulness, price, and online promotion on the intention to reuse online transportation services, with Muslim consumer awareness as a moderating variable. Focusing on Grab users in Jakarta, the research uses a quantitative approach with 110 respondents from South and Central Jakarta, analyzed using Warp PLS. The results show that ease of use, usefulness, and online promotion positively and significantly affect reuse intention, while price has a negative and significant impact. Muslim consumer awareness moderates the effects of ease of use, usefulness, and online promotion on reuse intention but does not moderate the effect of price. These insights aid online transportation service providers in crafting effective marketing strategies for Muslim consumers in Jakarta.

The Influence of Brand Image, Product Quality, and Price on Purchase Decisions and Repurchase Intention

Based on data from one of the best e-commerce in Indonesia, sales of flagship smartphones with a price range of 15-18 million rupiah. This study aims to analyze the effect of brand image, product quality, and price on purchasing decisions and repurchase intentions on iPhone smartphones (studies on users of iPhone 14 in Indonesia). This study uses sampling data. In this research study, 20 indicators were used, and based on the Maximum Likelihood (ML) technique, the number of samples that had to be fulfilled was 5 x n(indicators) = 100 pieces. The hypothesis was tested using the Structural Equation Model (SEM) method using AMOS 22 software. The results of this hypothesis test will be followed by using SOAR analysis to determine marketing strategies. This study shows that brand image has a significant effect on purchasing decisions, price has a significant positive impact on buying decisions, and buying decisions have a significant positive effect on repurchasing intention of the iPhone 14 smartphone. So for the model equation, the relationship between exogenous variables and endogenous variables Y2 = 0.262 X1 + 0.413 X3 + Z4.

A robust bi-level programming model to enhance resilience in supply chain network considering government role, taxing, and raw sale: An iron ore case study

The mining industry plays a substantial role in any economy because of its enormous influence on other sections of a country. Despite the significant challenges in this industry, such as government regulations, taxing policies, raw material sales, and disruptions, there are rare studies that have considered mining supply chain network design. Thus, this paper proposes a mixed-integer linear bi-level programming model under operational and disruption risks to design a robust and resilient mining supply chain network. The government is considered as the leader that aims to decrease the sales of raw materials, boost the export of final products, and maximize its profit. Moreover, the closed-loop mining supply chain is introduced as the follower level that maximizes the total profit. In other words, this study presents a bi-level model that balances the export of raw materials and final products, for the first time. Additionally, a data envelopment analysis approach is applied to rank the candidate mine areas and reduce the model’s complexity. Finally, a real-world case study of the Iranian iron ore supply chain is applied to demonstrate the efficiency and applicability of the addressed model. The results indicate that the effect of raw material price on the upper level is 22% higher than the lower level under the same conditions. Moreover, the exchange rate has a great impact on the objective functions of both levels. Furthermore, Yazd province has great potential to be introduced as a steel pole in Iran.

The effect of freeway toll pricing on travel mode changes, route changes, and departure time changes.

This study critically examines the influence of freeway toll pricing on the travel behavior of intercity commuters in Iran, focusing on mode choice, route selection, and departure times. A survey of 921 commuters was conducted to gather data, which was then analyzed using a mixed logit model. The key findings reveal that a one percent increase in toll prices leads to a 1.5101 percent decrease in the likelihood of commuters maintaining their usual travel mode. Conversely, the probability of selecting alternative travel options rises by 2.5129 percent. A notable change is observed in route choice, with a 1000 toman increase in tolls raising the likelihood of route change by 0.320 percent. Furthermore, increased tolls are associated with a higher probability of changes in travel mode (0.1188%) and departure time (0.1078%). This research highlights the significant behavioral shifts among commuters in response to toll pricing adjustments and underscores the need for strategic toll management in transportation planning.

Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study

Electric vehicles (EVs) play a significant role in reducing carbon emissions. In the US, EVs are mostly owned by multi-vehicle households, and their usage is primarily studied in the context of vehicle miles traveled. This study takes a unique approach by analyzing EV usage through the lens of vehicle choice (between EVs and internal combustion engine vehicles) within multi-vehicle households. A two-step machine-learning framework (clustering and decision trees) is proposed. The framework determines the preferred trip category for EV use and captures the effects of household attributes, driver attributes, built-environment factors, and gas prices on EV use in multi-vehicle households. Results indicate that discretionary trips (accumulated local effect = 0.037) are mostly preferred for EV use. EV preference is more pronounced among households with fewer workers (<2) and lower income levels. These findings are valuable for policymakers and auto manufacturers in targeting specific market segments and promoting EV adoption.

High Quality Product, Good Services, and Competitive Pricing of Local Coffee Shop to Increase Consumer Satisfaction and Loyalty

The objective of this work is to analyze the effect of service quality, product quality and price on the consumer satisfaction and loyalty of “Beli Kopi” at Baureno Village. This research used Structural Equation Modeling (SEM) analysis with a sample of 50 respondents. The results show that most customers were highly educated with high income and women as the main consumers. Service quality, product quality and price have a significant contribution to consumer satisfaction and loyalty. The research model is valid with outer loading > 0.706 and reliable with AVE > 0.874 and improving service quality, product quality and prices in line with consumer values will increase consumer satisfaction and loyalty. It is hoped that this research can provide theoretical and practical contributions in increasing consumer satisfaction and loyalty at “Beli Kopi” Baureno Village. The research also showed that service quality, product and price influence consumer satisfaction. Product quality is the strongest factor. Consumer satisfaction also has a strong influence on loyalty. To increase sales, research suggests that “Beli Kopi” improve service, maintain product quality at appropriate prices, and create attractive promotions. Keywords: Coffee, Price, Product quality, Service quality, SEM (Structural Equation Modeling).