Low Price Research Articles

EXPRESS: Impact of Unreliable Supplier on a Supply Chain with Demand-Generating Marketing

A firm often has multiple sourcing options for its product. Some suppliers may have longer lead times but offer lower prices, whereas reliable suppliers with quick response capabilities may have higher prices. Purchasing from a cheaper, less reliable supplier can help a firm lower its inventory cost but will expose itself to potential risks. This paper analyzes a supply chain in which a manufacturer can source from a cheaper, less reliable supplier with a long lead time and/or a reliable quick-response supplier. The manufacturer also has to make demand-generating marketing investments before the selling season. Our analysis shows that if the unreliable supplier’s reliability is low, the reliable supplier will charge a low wholesale price; otherwise, it will choose a high wholesale price. As the unreliable supplier’s reliability improves, the manufacturer is inclined to increase its marketing investment, but there is a drop at some critical threshold. Interestingly, the existence of an unreliable supplier can lead to a win-win outcome for the reliable supplier and the manufacturer. The unreliable supplier’s reliability has non-monotonic effects on the equilibrium profits of the reliable supplier and the manufacturer.

Welfare‐Reducing Integration Under Emission Taxes and Endogenous Competition Mode

ABSTRACTThis study examines asymmetric supply chain competition between integrated and non‐integrated supply chains under emission taxes when firms choose competition mode in the final goods market endogenously. We find that higher emission taxes may lead the non‐integrated downstream firm to adopt aggressive pricing to induce its upstream firm to lower prices, leveling competition with an integrated one. When the non‐integrated chain integrates, however, quantity contracts become dominant strategies, which might distort welfare under lower emission taxes if both environmental damage and product substitutability are sufficiently high. Our finding indicates the welfare‐reducing effects of government interventions post‐integration when emission tax policy and endogenous competition mode are relevant.

An Economically Sustainable Glass Recycling Business Model in Puerto Rico: A Conceptual Solution for Regions Without Government Recycling Programs

In Puerto Rico, less than 5% of glass waste is recycled annually compared to a US national average of 25%. In regions like Puerto Rico, where government glass recycling programs are absent, glass presents a challenging waste stream to profitably recycle due to high transportation costs and low market prices, with few scalable models identified in the literature. This study emerged from a multi-year shared action learning partnership between Worcester Polytechnic Institute’s Puerto Rico Project Center and the Corporación del Proyecto ENLACE, a community development NGO serving the Caño Martín Peña communities in San Juan, Puerto Rico. Based on online research and interviews with 16 key stakeholders, we describe an economically sustainable glass recycling business model designed for the Caño Martín Peña communities that offers broader applicability for similar contexts. The business model achieves three goals: (1) it offers a free and convenient glass-collection service for the Caño Martín Peña communities; (2) it generates local employment opportunities in a low-income region; and (3) it operates in an economically sustainable manner. The viability of the glass-recycling business model is premised on strategic partnerships with government agencies, recycling companies, glass-sand markets, and local businesses.

Winter barley productivity in the southern part of the Rostov region when sowing sunflower as a forecrop with different seeding rates

The current study was conducted in the southern part of the Rostov region in the agrotechnical crop rotation of the laboratory for cultivation technology of grain and row crops of the FSBSI Agricultural Research Center “Donskoy” in 2021–2023. The purpose of the study was to determine the effect of seeding rates on productivity of various winter barley varieties sown after sunflower. The conducted study allowed identifying the response of winter barley varieties to different seeding rates. The winter barley variety ‘Marusya’ on average over the years of research formed the mean maximum grain productivity of 6.43 t/ha when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha). For the varieties ‘Vivat’ and ‘Foks 1’, the optimal seeding rate was 4 million pcs. of germ. seeds per 1 ha, and the obtained productivity was 6.31 and 5.81 t/ha, respectively. The response of the studied winter barley varieties to seeding rates was different through the years, but the effect of this factor was 4.6–10.5 %. Reliable differences in the experiment were obtained only for the variety ‘Vivat’ for all seeding rates. The winter barley productivity was determined by the choice of a variety, and the effect of this factor ranged from 32.5 to 78.1 %. There was determined that when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha), all winter barley varieties in the trial had the largest number of grains per ear and grain weight per ear with 36.3–43.2 g and 1.62–2.10 g, respectively. There was established that in the variant with this seeding rate, the varieties formed a heavy, large-size grain (nature weight of 637–660 g/l) with ‘1000-grain weight’ of 42.1–43.8 g and 10.8 to 11.3 % of protein in grain. There has been established an economic efficiency of cultivating the varieties ‘Vivat’, ‘Marusya’ and ‘Foks 1’ when sowing them with the lowest seeding rate of 3 million pcs. of germ. grains per 1 ha. With a low cost price of produced grain (5405–6136 rubles/t), in this variant of trial, the varieties obtained the maximum conditional net income (34378–45499 rubles/ha) and production profitability (108–147%).

Design and building CNC engraving router machine using Arduino Uno with GRBL control system

Computer Numerical Control Machines are one of the advances in automatically operated machining technology that can meet the need for complex and high-precision products. CNC machine parts generally have a mechanical and electrical system, also called a machine controller, that uses a Human Machine Interface at a high price. One of the software used to control the CNC machine is Arduino Uno, a PC-based GRBL System with a low price and the same function. This software is not far from the advantages of the HMI panel. Operating the machine with this software is also not that difficult. In this research, we intend to make a CNC machine using the Arduino Uno control system and software with a PC-based GRBL System, making it easier for operators to operate it. The results of the research that has been carried out show that the CNC has a size of 800x600x50mm with a system that is operated well and precisely

Unveiling housing preferences amidst flood risks: an empirical study in an emerging market

Purpose This study investigates the interplay between flood risk, financial constraints and buyer behavior in the housing market. It aims to discern how flood experience influences housing choices, particularly among financially constrained buyers. Design/methodology/approach Using hedonic pricing models and probit analysis, this research examines the implicit prices of house characteristics and evaluates the determinants of housing choices, considering factors such as flood risk, financial status and past flood experience. Findings The study underscores that lower house prices incentivize buyers to opt for homes in flood-prone areas, thereby increasing their vulnerability to flood risks. Consequently, financial constraints exacerbate this situation, compelling low-income buyers to accept higher flood risks. However, flood experience fosters risk awareness among buyers, encouraging them to steer clear of flood-prone areas, albeit with lesser efficacy among financially constrained individuals. Originality/value This research contributes to the understanding of how flood risk and financial limitations shape housing decisions. It highlights the role of flood experience in influencing buyer behavior and emphasizes the need for targeted policies to mitigate flood-related risks in the housing market, particularly among economically vulnerable populations.

Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model.

Cancer is a life-threatening disease resulting from a genetic disorder and a range of metabolic anomalies. In particular, lung and colon cancer (LCC) are among the major causes of death and disease in humans. The histopathological diagnoses are critical in detecting this kind of cancer. This diagnostic testing is a substantial part of the patient's treatment. Thus, the recognition and classification of LCC are among the cutting-edge research regions, particularly in the biological healthcare and medical fields. Earlier disease diagnosis can significantly reduce the risk of fatality. Machine learning (ML) and deep learning (DL) models are used to hasten these cancer analyses, allowing researcher workers to analyze a considerable proportion of patients in a limited time and at a low price. This manuscript proposes the Predictive Analytics of Complex Healthcare Systems Using the DL-based Disease Diagnosis Model (PACHS-DLBDDM) method. The proposed PACHS-DLBDDM method majorly concentrates on the detection and classification of LCC. At the primary stage, the PACHS-DLBDDM methodology utilizes Gabor Filtering (GF) to preprocess the input imageries. Next, the PACHS-DLBDDM methodology employs the Faster SqueezeNet to generate feature vectors. In addition, the convolutional neural network with long short-term memory (CNN-LSTM) approach is used to classify LCC. To optimize the hyperparameter values of the CNN-LSTM approach, the Chaotic Tunicate Swarm Algorithm (CTSA) approach was implemented to improve the accuracy of classifier results. The simulation values of the PACHS-DLBDDM approach are examined on a medical image dataset. The performance validation of the PACHS-DLBDDM model portrays the superior accuracy value of 99.54% over other DL models.

Constraints Faced by the Farmers in the Production and Marketing of Onions in the Western Undulating Zone of Odisha, India

This paper aimed to investigate the limitations associated with onion farming in the western undulating agroclimatic zone of Odisha, specifically regarding production, marketing, and storage. The study employed a multi-stage purposive sampling technique. The state was divided into 10 zones based on agro-climatic characteristics, and the district from the western undulating zone, Kalahandi districts, was purposively chosen since many farmers in these regions, like others in Odisha, cultivate onions throughout the winter season. A total of 90 farmers (45 from Bhawanipatna block and 45 from Golamunda block) were selected at random and interviewed directly for the purpose of study. Furthermore, the location, climatic conditions, and soil are ideal for onion cultivation. Kalahandi was chosen in 2021–2022. According to the survey, labour shortages for weeding, ignorance of improved varieties, high labour costs, ineffective and expensive weedicides, high seed costs, etc. were the top five problems faced by onion growers. The main difficulties faced by onion growers during marketing included low prices during harvest, which were followed by sharp price fluctuations, high transportation costs, payment delays, a lack of market news and information, a lack of storage facilities, etc. in the research area. To ensure an effective produce marketing system, the government, developmental agencies, marketing boards, and NAFED should intervene by enhancing the market infrastructure at the taluk and district levels and supplying timely market information. Farmers may be able to overcome the issue of price fluctuations if government authorities intervene promptly and announce an extension or announcement of the government support price for onion crops.

Commercial insurers' market power and hospital prices in Medicaid managed care.

To examine the relationship between insurers' commercial market power and negotiated prices in Medicaid Managed Care (MMC) plans for hospital care. MMC prices from hospital-disclosed price transparency data as of July 2023 compiled by Turquoise Health, insurance enrollment information from the 2021 Clarivate InterStudy enrollment data. Log-transformed linear regression with hospital and procedure fixed effects estimating the within-hospital MMC price variation as a function of insurers' commercial market share quartile and MMC market share for 15 common outpatient hospital services. A total of 39,049 MMC price samples measured at hospital-procedure-MMC insurer level are merged with county-insurer level market share data. Around 25% of price variation in MMC plans are driven by within-hospital factors. Compared with MMC insurers from the lowest commercial market share quartile (<0.8%), those from the highest commercial market share quartile (>17%) are associated with negotiating 4.6% (95% confidence interval: [2.8%-6.4%], p < 0.001) lower MMC prices for outpatient hospital care, including 3.6% (p < 0.05) for medical/surgical procedures, 3.6% (p < 0.01) for radiology, and 6.7% (p < 0.001) for emergency department visits. MMC insurers with substantial commercial market share negotiate lower MMC prices for multiple outpatient hospital services.

The Interplay Between China’s Regulated and Voluntary Carbon Markets and Its Influence on Renewable Energy Development—A Literature Review

This is the first review study that focuses on the interplay between China’s regulated and voluntary carbon markets, the Emissions Trading System (ETS), the China Certified Emission Reduction (CCER) scheme, and their combined influence on the development of renewable energy in the country. Through a comparative literature review of 52 peer-reviewed academic papers published between 2009 and 2024, this study aims to elucidate how these market mechanisms interact to drive renewable energy deployment. The findings indicate that both the ETS and the CCER system positively affect China’s renewable energy landscape. The ETS, with its Cap-and-Trade (CaT) mechanism, sets a cap on total emissions and allows for the trading of emission quotas, thereby creating financial incentives for companies to reduce emissions and invest in renewable energy. The CCER scheme complements the ETS by allowing companies to use the CCER scheme for a capped share of their ETS certificates, whereby the lower CCER price diverts investments to where the saved ton of CO2 in China is cheapest, further incentivizing investments in renewable energy. This dual mechanism allows for a more flexible and cost-effective approach to achieving emission reduction targets, thereby fostering an environment conducive to investment in renewable energy. It will stimulate additional investment in renewable energy projects in the long run, particularly in economically underdeveloped regions, contributing to both local economic development and national emission reduction targets.

The socio-economic burden of migraine: yesterday and today

Migraine is the most frequent and costly type of headache. The analysis of the «cost of the disease» implies an assessment of direct and indirect costs expressed in monetary units. Drastic changes have recently occurred in approaches to the treatment of the disease, in connection with which there are large differences in the structure of the economic burden «yesterday and today». «Yesterday» knowledge about the pathophysiology of migraine was insufficient and various nonspecific agents were used to treat the disease, the antimigrenous effect of which was manifested as an additional one. The relatively low prices of these ineffective drugs for relieving attacks and preventing migraines were accompanied by high indirect costs due to temporary disability of patients, frequent time off from work, decreased labor productivity, family troubles, etc. Therefore, «yesterday»: the indirect costs associated with migraine therapy outweighed the direct costs. «Today» the cost of drugs for the prevention and pathogenetic agents for the relief of migraine attacks has become significantly higher and their costs are the main part of the costs of migraine therapy, However, the effectiveness of new pathogenetic agents for the treatment of migraines helps to reduce indirect costs and improve the quality of life. Awareness of the change in the ratio of direct and indirect costs, as well as the causes of this phenomenon, will increase patient compliance, correctly allocate costs and ultimately save personal and public financial resources.

Argentine Malbec market: comparative study of general chemical parameters and sensory properties within low, medium and high price segments

Malbec, Argentina's emblematic wine, is appreciated worldwide for its unique characteristics and distinctive organoleptic profile. As demand for Malbec wines increases locally in Argentina and international markets, there is a need to better understand the relationship between the price of these wines and their chemical and sensory characteristics. The aim of this study was to describe and quantify the sensory attributes and chemical parameters (in particular, phenolics) of Argentinean Malbec wines of different price segments. In order to observe the differences between each price range, the eight best-selling wines from the low, medium, and high price categories were analysed. Wine general analytical parameters and phenolics composition were determined and a descriptive analysis was performed with a trained panel. The results show that it was only possible to differentiate between the high- and low-price ranges. Both ranges exhibited variability, including different types of wines. Significant differences were identified in several parameters, such as O.D.280, titratable acidity, malic acid, volatile acidity, alcohol, glucose and total sugars. There were also significant differences in anthocyanins, LPP, SPP, TPP and tannins. The high-price range was characterised by higher alcohol content, greater polyphenol concentration and greater colour intensity. Sensorially, they were distinguished by the descriptors wood, astringency and colour. The low-price range was associated with low colour intensity and higher total sugar content. This is the first study to clearly establish the sensory differences among different price ranges of Argentine wines. Our study demonstrated that wine pricing is not determined in a subjective or arbitrary manner; rather, wines produced for a specific segment are intentionally designed to achieve the desired sensory and chemical characteristics.

Cobalt Phosphide Decorating Metallic Cobalt With a Nitrogen‐Doped Carbon Nano‐Shell Surpasses Platinum Group Metals for Oxygen Electrocatalysis Applications

ABSTRACTIt has been a long‐standing challenge to cultivate capable and resilient oxygen electrocatalysts with higher activity, low price, and long lifetime to replace the commonly used platinum group metals, i.e., Pt for oxygen reduction reaction (ORR) and RuO2/IrO2 for oxygen evolution reaction (OER). This work presents a promising approach to address the challenges associated with oxygen electrocatalysis by introducing a cobalt phosphide/metallic cobalt (Co2P/Co) core wrapped in a nitrogen‐doped conductive carbon (CN) nano‐shell, demonstrated as Co2P/Co@NC. The strong chemical bonding between metallic cobalt and phosphorus, nitrogen and conductive carbon contributes to the enhanced conductivity and stability of the electrocatalyst. The nitrogen doping in the carbon shell provides additional Co–N active sites, which are crucial for ORR activity. Co2P/Co@NC demonstrates promising activity and stability compared to noble metals such as Pt for ORR in an alkaline medium. This suggests its potential as a cost‐effective alternative to Pt‐based catalysts. Further, due to factors such as strong cobalt‐phosphide bonding, high cobalt oxidation states and excellent conductivity of the nitrogen‐doped carbon shell, the Co2P/Co@NC outperforms noble metal oxides like iridium dioxide (IrO2) and ruthenium dioxide (RuO2) for OER. Co2P/Co@NC exhibits a low potential difference of 0.63 V, which is among the lowest reported for bifunctional electrocatalysts capable of both ORR and OER. Overall, the described strategy offers a promising avenue for developing efficient, low‐cost and stable electrocatalysts for oxygen reactions, which are crucial for various electrochemical energy conversion and storage technologies, such as fuel cells and metal–air batteries.

Impact of Natural Disasters on House Prices: A Global Analysis and Policy Implications

This study addresses the limited research on how natural disasters affect house prices by analyzing data from 117 countries between 2000 and 2018, using a panel regression approach to assess these impacts. The results reveal that natural disasters tend to decrease house prices, a finding that holds strong across multiple robustness checks. Specifically, geological disasters are found to have the most significant negative impact on property values. The study also distinguishes between the effects of small and large disasters, with both showing a clear downward effect on house prices. These insights carry important implications for policymakers and investors, as lower house prices in disaster-prone areas may indicate reduced consumption and investment due to the wealth effect, potentially leading to wider economic downturns. To support these regions, economic policymakers might consider measures such as low-tax policies or quantitative easing. The findings also highlight the urgent need for governments to address climate change impacts on the housing market by adopting sustainable technologies and renewable energy sources. Keywords Natural Disasters, House Pricing, Climate Change, Statistical model

Renewable energy waste recycling

Broad field of technologies is related to the countries’ green hydrogen goals, with renewable energy technology (RE) being a significant part. RE’s ability to support green hydrogen industry is now being hindered by the waste issue. By 2050, the world will have accumulated up to 60–70 million tons of waste photovoltaic (PV) modules, 43.4 million tons of wind turbine blades and up to 1 million tons of lithium batteries. Existing technologies and recycling capacities are not capable of recycling these volumes, since the readiness levels of most of the applicable technologies is assessed as TRL3 - TRL8 and their economic efficiency is below the profitability level. The purpose of this work is to substantiate the need and calculate the amount of state support for the development of RE waste recycling technologies. It has been determined that the sum of economic losses in the absence of recycling by 2050 will amount to up to 215 billion dollars, including in the RE leading regions: in China 81 billion dollars, in the EU 42 billion dollars, in the USA 26 billion dollars. The regional distribution of waste volume is presented, grouped by energy price level: 30% of waste in countries with the highest energy tariffs, mainly in Europe, 20% in regions with an average price, including all of North America, 50% in regions with the lowest price - most Asian countries. The dynamics of the increase in the number of patents for the selected IPCs for the period 2000–2024 was obtained, and the leading countries were identified. It is shown that the effect of state support for recycling will be obtained in three industries: firstly, a cost-effective industry for recycling renewable energy waste will be formed, secondly, the availability of scarce materials for renewable energy producers will increase, and thirdly, unconstrained RE deployment will back the green hydrogen development. The timeframe of the countries’ hydrogen goals and the RE waste accumulation trends jointly indicate the urgency of the waste issue, when the analysis proves the reasonable request for the state involvement.

Energy Flexibility in Aluminium Smelting: A Long-Term Feasibility Study Based on the Prospects of Electricity Load and Photovoltaic Production

This paper investigates the economic feasibility of utilising energy flexibility in aluminium production as a viable solution to leverage electricity surpluses arising from the increasing number of photovoltaic (PV) system installations. Future trends suggest that the generation capacity of PV systems will soon surpass consumption, leading to significant electricity surpluses, particularly during the summer. This surplus electricity, which is anticipated to be available at low prices, offers a unique opportunity to evaluate different investment and utilisation scenarios for aluminium production while simultaneously decreasing its environmental impact. The results demonstrate that, despite their high initial investment cost, large-scale PV power plants can potentially deliver maximum economic gains over a ten-year period. Conversely, the direct utilisation of surpluses without substantial investment can yield savings of up to EUR 17 million within the same time frame for Slovenia’s case with an aluminium smelter, which has a maximum power usage of 60 MW. The findings of this study have significant implications in terms of shaping future energy strategies and policies, emphasizing the value of integrating renewable energy sources and industrial processes for enhanced economic and environmental outcomes.

Chinese Consumers' Satisfaction with Online Shopping Platforms

With the rapid development of Internet technology, China's online shopping industry is also expanding rapidly, becoming an important part of global e-commerce. This article investigates Chinese consumers' satisfaction levels with Taobao, Jingdong (JD.com), and Pinduoduo, three of the country's most popular e-commerce sites. The article reviews the historical development of these platforms, their market positioning, and some of the unique spending habits of Chinese consumers. This paper analyzes several key factors that affect consumer satisfaction, including delivery accuracy, price, information quality, payment convenience, and security. The way that these aspects are handled by each platform greatly affects the buying experience of users. Technological innovations on platforms such as Taobao, such as AI-driven recommendations, have dramatically improved user experience and satisfaction. Jingdong has improved its delivery efficiency and customer satisfaction by building its own logistics system, and Pinduoduo's logistics are both slightly inadequate in comparison. However, Jingdong's logistics during peak hours still needs to be improved. The paper also points out that while price is a very important factor for consumers when choosing a platform, Pinduoduo still needs to find a balance between low price and service quality. Lastly, future studies can explore how cross-border e-commerce and the behavioral inclinations of various user groups could impact the platform's subsequent development stage. These findings suggest that continued attention to these factors can provide online shopping platforms with strategies to increase consumer satisfaction and improve service quality, as well as provide new ideas for academic research.

Powdered Medical Adhesive with Long Lasting Adhesion in Water Environment.

Medical adhesives have been used under surgical conditions. However, it is always a big challenge to maintain long-term adhesion in a water environment. Besides, it usually takes a long time to complete the adhesion, and the operation might be complicated. In this study, tannic acid and gelatin solution under acidic conditions were mixed, flocculated, lyophilized, and crushed; thus, a powdered medical adhesive (POWDER) was prepared with long-lasting adhesion in a water environment, convenience, and low price. Tannic acid bound gelatin and maintained adhesive force primarily through hydrogen bonding and reacted with amino sulfhydryl and other amino acid residues after oxidation into aldehyde, exhibiting excellent underwater adhesion. Oxidized dextran (ODex) powder rich in an aldehyde group was introduced to provide covalent binding in the adhesive. In vitro and in vivo studies showed that POWDER could quickly adhere to various tissues in the water environment. In vitro skin adhesion experiments demonstrated that it could achieve effective adhesion in a water environment for up to 60 days. Its blood compatibility, low cytotoxicity, and biodegradability were also verified. The POWDER developed in this study is of great significance for patients who need rapid wound treatments.

An anti-freezing hydrogel electrolyte based on hydroxyethyl urea for dendrite-free Zn ion batteries

Aqueous zinc ion batteries are considered as a promising energy storage resource due to their high security, abundant resources and low price. However, the development of aqueous zinc ion batteries has been severely hindered by compulsive dendrite generation, serious side reactions and poor temperature adaptability. Herein, we used hydroxyethyl urea as a hydrogel electrolyte additive to address above-mentioned challenges. Hydroxyethyl urea can break the hydrogen bonds (HBs) of water and enhancing the freezing-tolerance ability of the electrolyte. Meanwhile, hydroxyethyl urea can prevent the corrosion issue and inhibition of Zn dendrites. Consequently, the Zn//Zn symmetric battery can sustain stable cycling for over 3000 h at 1 mA cm−2, and it achieves a high coulombic efficiency of 99.6 %. Even at −40 ℃ the batteries show excellent cycling stability, the Zn//Zn symmetry battery can achieve steadily cycles over 3000 h. The Zn//NVO battery equipped with the altered electrolyte exhibits enhanced capacity retention compared to the one without additives.It demonstrates not only robust stability at room temperature but also maintains commendable functionality down to −40 ℃, validating the method’s efficacy. This work provides a simple strategy for enhancing low temperature performance of zinc ion batteries.

Thermally stable Al4B2O9:Ce3+ nanofibers with intense blue emission and Al4B2O9:Ce3+/Dy3+ nanofibers with color-tunable luminescence and white-light emission via energy transfer

Dy3+ can achieve white-light emission at the appropriate intensity ratio of yellow to blue light in specific hosts due to its wide yellow and blue emitting bands. However, luminescence intensity of singly doped Dy3+ in the matrix is low, which limits its application in PC-WLEDs. Al4B2O9 has become a promising rare earth ion-doped matrix owing to its ease of doping, low price, excellent chemical and thermal stability. In this work, to improve the Dy3+ emission intensity and to achieve color-tunable luminescence and white-light emission, with the help of energy level matching engineering, Ce3+ ions with a strong and broad absorption band and suitable energy levels matching with Dy3+ are selected as high-efficient sensitizers. Ce3+ doped and Ce3+/Dy3+ co-doped one-dimensional (1D) Al4B2O9 nanofibers are designed and successfully synthesized using a simple electrospinning coupled with an oxidative calcination. Under the excitation of 286-nm UV light, Al4B2O9:Ce3+ nanofibers emit intense blue light and can be used as blue-emitting phosphor, and the emission peak of Al4B2O9:Ce3+/Dy3+ nanofibers at 374 nm is attributed to the 5d→2F5/2 energy level transition of Ce3+, and emission peaks at 483 and 575 nm are ascribed to the 4F9/2→6H15/2, 13/2 energy level transitions of Dy3+, respectively. By modulating the doping concentration of Dy3+ and Ce3+→Dy3+ energy transfer (ET) process, color-tunable luminescence and white-light emission are resoundingly realized to address the weak luminescence intensity of Dy3+. In addition, Al4B2O9:Ce3+/Dy3+ nanofibers have excellent thermal stability. The formation mechanism and luminescence mechanism of Al4B2O9:Ce3+/Dy3+ nanofibers are presented, and the Ce3+→Dy3+ ET mechanism in Al4B2O9:Ce3+/Dy3+ nanofibers is elucidated. The designing concept and the technology in this work are instructive for preparing new phosphors with 1D morphology and super fluorescence.