12 datasets found
  1. Mozambique Cell Phone Savings Project Baseline Survey 2014

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 25, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.usaid.gov (2024). Mozambique Cell Phone Savings Project Baseline Survey 2014 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/mozambique-cell-phone-savings-project-baseline-survey-2014-79e7c
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Mozambique
    Description

    Smallholders in rural Mozambique are typically characterized by low agricultural productivity, which is in part caused by very low levels of input usage. In the study area, four districts of Nampula province, farmers are generally far from towns where agricultural input providers are based and formal banking services are not available. Lacking these services, smallholders typically face liquidity constraints during the planting season when returns to input usage are the highest. In order to explore potential policy solutions to this challenge, the project combined training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving strategies and increase take-up of basic inputs, primarily seeds, and fertilizer. The goal of the pilot project was to determine whether combining group-level trainings in mobile money technology with targeted direct marketing could increase input usage, and consequently boost agricultural productivity. In collaboration with Vodacom, IFPRI organized a series of trainings, first at the individual level with farm group leaders carried out in Nampula city in June 2014. This was followed by group trainings at local sites to which all farm group members were invited in July-August 2014. Input marketing visits were carried out by a local input provider, IKURU from October 2014-January 2015.

  2. Impact of mobile clinics on rural U.S. by 2025

    • statista.com
    Updated Jun 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Impact of mobile clinics on rural U.S. by 2025 [Dataset]. https://www.statista.com/statistics/1614837/impact-of-mobile-clinics-on-rural-us/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to data from *** mobile health clinics operating in rural U.S., they generated a cost-saving of ** U.S. dollars for every *** U.S. dollars. This was through some ****** emergency department visits that were avoided through the use of mobile clinics. Additionally, the health services provided can be calculated as quality-adjusted life-years saved, and an estimated ****** life-years were saved. Some of the most common health services delivered include breast cancer screening, depression screening, and hypertension screening and treatment.

  3. Mozambique Cell Phone Savings Project Endline Survey 2015

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 25, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.usaid.gov (2024). Mozambique Cell Phone Savings Project Endline Survey 2015 [Dataset]. https://catalog.data.gov/dataset/mozambique-cell-phone-savings-project-endline-survey-2015-e7f1f
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Mozambique
    Description

    Smallholders in rural Mozambique are typically characterized by low agricultural productivity, which is in part caused by very low levels of input usage. In the study area, four districts of Nampula province, farmers are generally far from towns where agricultural input providers are based and formal banking services are not available. Lacking these services, smallholders typically face liquidity constraints during the planting season when returns to input usage are the highest. In order to explore potential policy solutions to this challenge, the project combined training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving strategies and increase take-up of basic inputs, primarily seeds, and fertilizer. The goal of the pilot project was to determine whether combining group-level trainings in mobile money technology with targeted direct marketing could increase input usage, and consequently boost agricultural productivity. In collaboration with Vodacom, IFPRI organized a series of trainings, first at the individual level with farm group leaders carried out in Nampula city in June 2014. This was followed by group trainings at local sites to which all farm group members were invited in July-August 2014. Input marketing visits were carried out by a local input provider, IKURU from October 2014-January 2015.

  4. C

    Cell Phone Vibration Motors Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Cell Phone Vibration Motors Report [Dataset]. https://www.datainsightsmarket.com/reports/cell-phone-vibration-motors-931690
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global cell phone vibration motor market is experiencing robust growth, driven by the increasing demand for smartphones with enhanced haptic feedback features. The market, segmented by application (fashionable mobile phones, business mobile phones, and others) and type (cylindrical and flat button), is projected to witness significant expansion over the forecast period (2025-2033). The rising adoption of smartphones globally, coupled with the preference for sophisticated user interfaces incorporating advanced vibration technology, are key factors fueling market expansion. Technological advancements leading to smaller, more efficient, and energy-saving vibration motors are further contributing to market growth. Competition among major players like Nidec, Mabuchi Motor, and LG Innotek is intense, prompting innovation and price optimization. While the cylindrical type currently dominates the market, the flat button type is gaining traction due to its space-saving design and integration capabilities in increasingly slim phone designs. Regional variations exist, with Asia Pacific, particularly China and India, expected to lead in consumption due to their large smartphone user bases and burgeoning manufacturing sectors. However, regulatory changes related to e-waste and environmental concerns could pose challenges to the market's growth trajectory. The market's CAGR (let's assume a conservative 5% based on industry trends) from 2025-2033 translates into a substantial increase in market value. While precise market size data for 2025 is not provided, a reasonable estimate can be derived. Assuming a 2025 market size of $1.5 billion (based on extrapolation of prior year's data and growth rates for similar markets), and applying the 5% CAGR, the market will be worth considerably more by 2033, representing a significant investment opportunity for businesses involved in manufacturing, supplying, and integrating these crucial components into mobile phone technology. Continued innovation in haptic technology, coupled with growing consumer preference for advanced smartphone features, will be crucial for sustained growth in the coming years.

  5. Z

    Data from: Energy-Saving Strategies for Mobile Web Apps and their...

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Mar 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Benedikt Dornauer (2023). Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research - Dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7698282
    Explore at:
    Dataset updated
    Mar 13, 2023
    Dataset provided by
    Benedikt Dornauer
    Michael Felderer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a significant contribution to energy conservation efforts. For example, if we could save only 5% of the energy used by web apps, we estimate that it would be enough to shut down one of the nuclear reactors in Fukushima. This paper presents a comprehensive overview of energy-saving experiments and related approaches for mobile web apps, relevant for researchers and practitioners. To achieve this objective, we conducted a systematic literature review and identified 44 primary studies for inclusion. Through the mapping and analysis of scientific papers, this work contributes: (1) an overview of the energy-draining aspects of mobile web apps, (2) a comprehensive description of the methodology used for the energy-saving experiments, and (3) a categorization and synthesis of various energy-saving approaches.

  6. a

    Exploring the use of mobile phone technology for optimizing, tracking and...

    • microdataportal.aphrc.org
    Updated Mar 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Patricia Kitsao-Wekulo (2025). Exploring the use of mobile phone technology for optimizing, tracking and responding to children's developmental progress in Korogocho, Nairobi, Kenya, Saving Brains - KENYA [Dataset]. https://microdataportal.aphrc.org/index.php/catalog/180
    Explore at:
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    Patricia Kitsao-Wekulo
    Time period covered
    2019
    Area covered
    Kenya
    Description

    Abstract

    Background:

    The massive use of technology can be leveraged to facilitate access to growth and development programs for children with access constraints. Existing programs supporting children's growth and development especially for children younger than three years are inadequate and not accessible to most families. In most cases, primary caregivers are unable to identify delayed milestones in their children's growth and development due to inadequate information on how to assess the key developmental milestones, and they often report the cases when they have become very severe. To promote early identification of possible developmental delays, the African Population and Health Research Center (APHRC) together with Val Partners developed, implemented and evaluated the use of mobile phone technology to help young mothers track their children's development.

    Objective:

    The objective of the study was to develop and test the feasibility of using mobile phone technology for optimizing, tracking, and responding to children's developmental progress.

    Study design:

    The study employed a quasi-experimental design and used a mixed-methods approach combining quantitative and qualitative methodologies. It was a two-arm study, where the first arm was trained on the use of a mobile phone application to assess their children's growth and development, while the second group received the standard of care provided by community health volunteers (CHVs). A total of 220 mothers/primary caregivers-child dyads were recruited into this study. The causal effect of the intervention was estmated using mixed linear models and the Difference-in-Differences estimator.

    Study duration: 24 months

    Budget: CAD 250,000

    Geographic coverage

    The survey covered sampled young children between 6 to 24 months and their caregivers from urban settlements in Korogocho, Nairobi, Kenya

    Analysis unit

    The survey covered sample of young mothers (including adolescents) of children under the age of three years

    Universe

    The survey covered sample of young mothers (including adolescents) of children under the age of three years

    Sampling procedure

    The project targeted young mothers (including adolescents) of children under the age of three years and living in informal settlement areas in Nairobi. Community Health Volunteers (CHVs) living within the community were identified and reccruited to assist the study team to recruit mothers/caregivers who are eligible for inclusion. Effort was made to ensure equal representation of genders in the intervention as both fathers and mothers were included during communications and activities related to the project.

    Sampling deviation

    N/A

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two Questionnaires were used during the study The first one was (1) PARENTAL ASSESSEMENT QUESTIONNAIRE which constituted 4 themes including: Knowledge, Attitudes and Perceptions (KAP) questions, Ages and stages questions (ASQ-3), Parental report questions and stress-efficacy questions. The second questionnaire (2) CHILD ASSESSMENT QUESTIONNAIRE

    Cleaning operations

    Data collection was done electronically using tablets/phones, with spot checks for quality control. Once all the data collection were completed, all the inconsistencies were resolved prior to data analysis. An automated routine to check on the data completeness, correctness and consistency was also run on 100% of the collected data.

    Response rate

    The response rate was 115.45 percent because the original sample size was 220 in total but the baseline round had 254 participants recruited and interviewed

    Sampling error estimates

    The calculation produced a sample size of 100 for each group, which allowed for a 10% attrition rate gaving a result of 110. We therefore hypothesized that with 100 caregiver-infant dyads in the intervention group and 100 in the control group, the sample size achieved 80% power to detect a difference among the two groups, with an effect size of 0.4, at the 5% significance level (two-tailed test). A sample comprising a total of 220 households (caregiver-child dyads) were therefore recruited.

  7. Insurance status of mobile health clinic users in rural U.S. in 2025

    • statista.com
    Updated Jun 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Insurance status of mobile health clinic users in rural U.S. in 2025 [Dataset]. https://www.statista.com/statistics/1615090/insurance-status-of-mobile-clinic-users-in-rural-us/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to data from *** mobile health clinics operating in rural U.S., ** percent of the people they served were uninsured. A further ******* were covered by Medicaid, and ** percent had Medicare. This shows that mobile clinics provide healthcare to an underserved population, with limited or no access to healthcare otherwise. It is estimated that mobile clinics generated a cost-saving of ** U.S. dollars for every *** U.S. dollar spent.

  8. Popular phone brands by gender in Germany in 2020

    • statista.com
    Updated Jan 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Popular phone brands by gender in Germany in 2020 [Dataset]. https://www.statista.com/statistics/1089120/smartphone-and-cellphone-brands-by-gender-germany/
    Explore at:
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Germany
    Description

    Samsung was the most popular smartphone / cell phone brand in Germany both among men and women. Apple’s iPhone fell further behind, and Huawei even more so. Samsung is headquartered in South Korea, with numerous offices around the world and factories in several countries.

    Global domination

    The Samsung smartphone segment is well-known for its various Galaxy models, which are developed and released onto the market at a rapid pace. Galaxy S, Note, Z, A, M differ based on size, features, cameras and memory volume, as well as, of course, price. These phones operate on Android, which continues to significantly overtake iOS on the German market. Samsung is the main competitor for all existing smartphone brands, currently firmly established as the leading smartphone vendor in the world.

    Tethered to life

    The number of smartphone users in Germany continues to grow annually, with figures showing an explosive increase compared to a decade ago. Brands will be locked in fierce competition for a long time to come. Smartphone reliance among consumers strengthens not just because of using it for communication with others, but due to the device’s connection to so many areas of daily life through other technological developments. To give just a few examples: mobility apps used on the go, whether checking local transport schedules or booking car sharing; mobile buying and saving tickets for events; mobile banking; apps counting steps taken while walking; scanning boarding passes to get on a plane. The list goes on.

  9. c

    Global Mobile User Authentication market size is USD 1952.2 million in 2024....

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2024). Global Mobile User Authentication market size is USD 1952.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/mobile-user-authentication-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 20, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Mobile User Authentication market size is USD 1952.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 23.50% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 780.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 21.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 585.66 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 449.01 million in 2024 and will grow at a compound annual growth rate (CAGR) of 25.5% from 2024 to 2031.
    Latin America had a market share for more than 5% of the global revenue with a market size of USD 97.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 22.9% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 39.04 million in 2024 and will grow at a compound annual growth rate (CAGR) of 23.2% from 2024 to 2031.
    The Two-Factor Authentication held the highest Mobile User Authentication market revenue share in 2024.
    

    Market Dynamics of Mobile User Authentication Market

    Key Drivers for Mobile User Authentication Market

    Surging Mobile Device Usage to Increase the Demand Globally

    The pervasive use of smartphones and tablets has caused an urgent demand for robust authentication methods to safeguard non-public and expert facts. With those gadgets serving as relevant repositories for sensitive statistics, secure admission is vital to save you from unauthorized breaches. Biometric authentication, which includes fingerprint and facial reputation, has gained prominence for its reliability and comfort. Additionally, multi-aspect authentication (MFA) combining passwords with biometrics or OTP (one-time password) verification offers enhanced protection layers. As cellular gadgets continue to conform and combine deeper into daily activities, the development and adoption of stringent authentication protocols stay paramount to mitigate risks associated with data breaches and identity robbery, making sure customers can expectantly navigate their digital lives.

    Growing Security Threats to Propel Market Growth

    The escalation of cybercrime, encompassing phishing attacks and information breaches, underscores the critical need for robust cell authentication answers among both corporations and individuals. As smartphones and tablets increasingly save and get the right of entry to sensitive facts, they become prime objectives for malicious actors in search of unauthorized access. Effective cellular authentication strategies include biometric verification (along with fingerprint or facial popularity) and multi-element authentication (MFA), combining passwords with extra security layers like OTPs (one-time passwords) or hardware tokens. These measures help give a boost to defenses against evolving cyber threats, ensuring that entry to to non-public and enterprise data stays steady. Implementing and continuously updating these authentication answers are critical steps in mitigating dangers associated with the growing sophistication of cyberattacks in the modern-day interconnected digital landscape.

    Restraint Factor for the Mobile User Authentication Market

    Privacy Concern to Limit the Sales

    The use of biometric facts for authentication functions has sparked an ongoing debate over privacy worries. While biometrics provide comfort and strong protection, storing sensitive non-public records inclusive of fingerprints or facial features on gadgets raises apprehensions among customers. The ability dangers consist of unauthorized get admission to biometric templates and the misuse of captured facts for identification theft or surveillance purposes. Additionally, there are issues about the permanence and irreversibility of biometric statistics as soon as compromised. To address those problems, builders, and policymakers suggest for stringent security features, encryption protocols, and transparent user consent rules. Balancing the advantages of biometric authentication with safeguarding personal privacy is essential in fostering the belief and adoption of these technologies in the digital age.

    Impact of Covid-19 on the Mobile User Authentication Market

    The COVID-19 pand...

  10. Applicants' opinion on the use of mobile devices when applying for a job...

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Applicants' opinion on the use of mobile devices when applying for a job Germany 2020 [Dataset]. https://www.statista.com/statistics/1288107/germany-opinion-of-job-applicants-on-mobile-job-application/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - Aug 2019
    Area covered
    Germany
    Description

    In 2020, about ** percent of German job applicants declared that the possibility of applying for a job position through the use of mobile end devices allowed them to apply for work more effectively while also saving time. In the same year, ** percent declared that the use of these devices allowed them to apply more often for positions than before.

  11. Global average spend per gigabyte of mobile data using roaming and travel...

    • statista.com
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Global average spend per gigabyte of mobile data using roaming and travel eSIMs 2024 [Dataset]. https://www.statista.com/statistics/1491487/global-travel-esim-spend/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Travel eSIM users spent an average of **** U.S. dollars per gigabyte of data when abroad in 2024, compared to **** U.S. dollars when using roaming with an existing mobile plan. eSIMs have become a popular means of saving money while consuming data abroad, with travelling mobile users able to activate a local data plan by scanning a QR code or following a link.

  12. D

    Mobile Handheld Computer Sales Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2023). Mobile Handheld Computer Sales Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-mobile-handheld-computer-sales-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 3, 2023
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description


    Market Overview:

    The Global Mobile Handheld Computer Market Size is expected to grow at a CAGR of 7.5% from 2022 to 2030. The growth in the market can be attributed to the increasing demand for mobile handheld computers in retail and wholesale, logistics and warehousing, industrial manufacturing, healthcare, and other applications. Additionally, the growing adoption of Android-based mobile handheld computers is also contributing to the growth of this market.


    Product Definition:

    A mobile handheld computer is a small, portable device that is used for data entry and retrieval. They are often used in business settings to keep track of inventory or to take customer orders. They can also be used for personal purposes, such as keeping a grocery list or tracking expenses. Mobile handheld computers typically have touch screens and allow users to enter data by tapping on the screen. Some also have keyboards that can be used for data entry.


    Android:

    Android is a mobile operating system developed by Google, based on a kernel Linux. Android devices run on top of the core functionality provided by the Linux kernel. The primary function of Android is to provide users access to digital content and applications that they can download from various sources over the internet.


    Windows:

    Windows is a series of operating systems produced by Microsoft Corporation for its personal computers. It is currently used on tablets and smartphones, though the company has plans to move most of its PC business to mobile devices over the next few years.


    Application Insights:

    The global mobile handheld computer market is segmented by application into retail and wholesale, logistics and warehousing, industrial manufacturing, healthcare, education, and others. The retail and wholesale segment dominated the overall industry in terms of revenue share. This can be attributed to the growing e-commerce industry across the globe which requires heavy investments for developing efficient distribution channels. Furthermore, the increasing penetration of smartphones has enabled retailers to develop apps that enable customers to browse through store inventory from their phones while saving time at the store as well as improving customer experience by providing easy returns or exchanges without having to write down notes or ask for assistance from employees. The logistics and warehousing application is expected to register a significant CAGR over the forecast period owing to its rising adoption among small businesses as they strive towards automation in order to reduce operating costs while enhancing their service delivery capabilities with enhanced flexibility & efficiency. Industrial handheld computers are used in industrial manufacturing to help operators with tasks such as monitoring process control systems, controlling machinery, tracking inventory, and managing production. The most common use of handheld computers in healthcare is for billing, appointment scheduling, and managing patient records. They can also be used to receive news updates or communicate with patients through Voice Recognition Software.


    Regional Analysis:

    Asia Pacific is expected to emerge as the fastest-growing region over the forecast period. The growth can be attributed to increasing smartphone penetration and rising demand for mobile computing devices in this region. North America is anticipated to witness significant growth over the forecast period owing to the high disposable income of consumers coupled with increased spending on electronic gadgets & products along with surging adoption of cloud services.


    Growth Factors:

    • Increasing demand for mobile handheld computers in the retail sector for inventory management and price checking purposes.
    • Growing demand from the healthcare sector for use in patient care and tracking purposes.
    • Increasing demand from field service personnel for use in data collection and real-time asset tracking applications.
    • The proliferation of mobile handheld computer apps that increases their functionality and appeal to a wider range of users.

    Report Scope

    Report AttributesReport Details
    Report TitleMobile Handheld Computer Sales Market Resea

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
data.usaid.gov (2024). Mozambique Cell Phone Savings Project Baseline Survey 2014 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/mozambique-cell-phone-savings-project-baseline-survey-2014-79e7c
Organization logo

Mozambique Cell Phone Savings Project Baseline Survey 2014

Explore at:
Dataset updated
Jun 25, 2024
Dataset provided by
United States Agency for International Developmenthttp://usaid.gov/
Area covered
Mozambique
Description

Smallholders in rural Mozambique are typically characterized by low agricultural productivity, which is in part caused by very low levels of input usage. In the study area, four districts of Nampula province, farmers are generally far from towns where agricultural input providers are based and formal banking services are not available. Lacking these services, smallholders typically face liquidity constraints during the planting season when returns to input usage are the highest. In order to explore potential policy solutions to this challenge, the project combined training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving strategies and increase take-up of basic inputs, primarily seeds, and fertilizer. The goal of the pilot project was to determine whether combining group-level trainings in mobile money technology with targeted direct marketing could increase input usage, and consequently boost agricultural productivity. In collaboration with Vodacom, IFPRI organized a series of trainings, first at the individual level with farm group leaders carried out in Nampula city in June 2014. This was followed by group trainings at local sites to which all farm group members were invited in July-August 2014. Input marketing visits were carried out by a local input provider, IKURU from October 2014-January 2015.

Search
Clear search
Close search
Google apps
Main menu