We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) on public opinions about different policy instruments to reduce the use of fossil fuels in the transport sector. The questionnaire also included questions on the dependency on fossil fuels, the level of concern about different environmental challenges, trust in others and in government institutions and socio-demographic characteristics. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possess national research permits for each of the five focal countries. The present data description is related to data descriptions "Public acceptance of policy instruments to reduce plastic pollution in East Africa" and " Public acceptance of policy instruments to reduce forest loss: Exploring cross-national variation in East Africa ". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q1, q2, q3 and q7, q8, q9, q10. Dependent variables for this study are q4, q5, q6. Missing data points are marked with the value 98.

This dataset includes all Statewide Commercial Baseline Study summary statistics related to the estimation of population penetration and saturation estimates. These include summaries of the number of survey respondents asked each equation, the number of survey respondents who provided a valid answer, the unweighted penetration, weighted penetration, and adjusted and weighted penetration. All supporting summary statistics are also provided. Penetration refers to the proportion of businesses that have one or more of a particular piece of equipment. Saturation is a number representing how many of a particular piece of equipment are present, on average, among all businesses. The overall objective of the Statewide Commercial Baseline research was to understand the existing commercial building stock in New York State and associated energy use, including the penetration and saturation of energy consuming equipment (electric, natural gas, and other fuels). For more information, see the Final Report at https://www.nyserda.ny.gov/About/Publications/Building-Stock-and-Potential-Studies/Commercial-Statewide-Baseline-Study. NYSERDA offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Goal 7Ensure access to affordable, reliable, sustainable and modern energy for allTarget 7.1: By 2030, ensure universal access to affordable, reliable and modern energy servicesIndicator 7.1.1: Proportion of population with access to electricityEG_ACS_ELEC: Proportion of population with access to electricity, by urban/rural (%)Indicator 7.1.2: Proportion of population with primary reliance on clean fuels and technologyEG_EGY_CLEAN: Proportion of population with primary reliance on clean fuels and technology (%)Target 7.2: By 2030, increase substantially the share of renewable energy in the global energy mixIndicator 7.2.1: Renewable energy share in the total final energy consumptionEG_FEC_RNEW: Renewable energy share in the total final energy consumption (%)Target 7.3: By 2030, double the global rate of improvement in energy efficiencyIndicator 7.3.1: Energy intensity measured in terms of primary energy and GDPEG_EGY_PRIM: Energy intensity level of primary energy (megajoules per constant 2011 purchasing power parity GDP)Target 7.a: By 2030, enhance international cooperation to facilitate access to clean energy research and technology, including renewable energy, energy efficiency and advanced and cleaner fossil-fuel technology, and promote investment in energy infrastructure and clean energy technologyIndicator 7.a.1: International financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systemsEG_IFF_RANDN: International financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems (millions of constant United States dollars)Target 7.b: By 2030, expand infrastructure and upgrade technology for supplying modern and sustainable energy services for all in developing countries, in particular least developed countries, small island developing States and landlocked developing countries, in accordance with their respective programmes of supportIndicator 7.b.1: Installed renewable energy-generating capacity in developing countries (in watts per capita)EG_EGY_RNEW: Installed renewable electricity-generating capacity (watts per capita)

Techsalerator’s Business Technographic Data for Gabon: Unlocking Insights into Gabon’s Technology Landscape

Techsalerator’s Business Technographic Data for Gabon provides a comprehensive resource for businesses, market analysts, and technology vendors looking to gain insights into companies operating in Gabon. This dataset offers a detailed overview of the technology landscape, analyzing data related to technology stacks, digital tools, and IT infrastructure within Gabonese businesses.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

1. Company Name: This field lists the names of Gabonese companies featured in the dataset. Identifying these companies allows technology vendors to efficiently target their solutions and helps analysts evaluate technology adoption trends across Gabon’s business environment.

2. Technology Stack: This field provides details on the technologies and software solutions utilized by businesses, such as ERP systems, cloud computing, and telecommunication tools. Understanding the technology stack of each company is crucial for assessing their capabilities and technology needs.

3. Deployment Status: This field indicates whether technologies are currently deployed, planned for the future, or under evaluation. Such information is essential for vendors to gauge market readiness and determine where businesses are in their technological evolution.

4. Industry Sector: This field categorizes companies by the industries in which they operate, such as oil and gas, telecommunications, or logistics. Segmenting by industry helps vendors tailor their offerings to meet the specific needs of Gabon’s diverse sectors.

5. Geographic Location: This field provides the geographic location of a company’s headquarters or primary operations within Gabon. Understanding regional technology adoption patterns is key for analyzing local market dynamics and opportunities.

Top 5 Technology Trends in Gabon

1. Telecommunications Expansion: Gabon is investing heavily in expanding its telecommunications infrastructure, including the development of 4G and 5G networks. This push is designed to improve connectivity and drive digital innovation across sectors.

2. Renewable Energy Technologies: Gabon is focusing on renewable energy solutions, including hydroelectric power and solar technology. As part of its commitment to environmental sustainability, the country is adopting green technologies to reduce its reliance on fossil fuels.

3. Mobile Banking and Fintech: Mobile banking and financial technology are growing rapidly in Gabon, with businesses and consumers increasingly relying on mobile platforms for transactions, banking services, and payments. This trend is driven by Gabon’s high mobile penetration rates.

4. E-Government Initiatives: The Gabonese government is accelerating its e-government efforts to provide online services such as digital identification, public records, and other citizen services. These initiatives are aimed at improving the efficiency of public service delivery.

5. Cybersecurity: As businesses in Gabon adopt more digital solutions, the importance of cybersecurity is rising. Companies are investing in data protection, cybersecurity tools, and compliance measures to safeguard sensitive information and prevent cyber threats.

Top 5 Companies with Notable Technographic Data in Gabon

1. Gabon Telecom: A major player in the telecommunications sector, Gabon Telecom is spearheading the development of 4G and 5G networks in the country, driving innovation and connectivity across industries.

2. TotalEnergies Gabon: A leading energy company, TotalEnergies Gabon is leveraging advanced technologies to optimize its operations in oil and gas exploration, refining, and sustainable energy production.

3. Airtel Gabon: As a key telecommunications provider, Airtel Gabon is expanding its mobile and internet services, facilitating the growth of mobile banking, e-commerce, and digital communications in the country.

4. BICIG (Banque Internationale pour le Commerce et l'Industrie du Gabon): One of Gabon’s largest financial institutions, BICIG is adopting digital banking solutions, including mobile apps and online services, to meet the growing demand for digital financial services.

5. SETRAG (Société d'Exploitation du Transgabonais): Gabon’s leading rail transport company, SETRAG, is modernizing its operations with digital tools and automation technologies to enhance logistics and transportation services across the country.

Accessing Techsalerator’s Business Technographic Data

If you’re interested in obtaining Techsalerator’s Business Technographic Data for Gabon, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide a custo...

The Regional Economic Development Councils (REDCs) support the State’s innovative approach that empowers regional stakeholders to establish pathways to prosperity, mapped out in regional strategic plans. Through the REDCs, community, business, academic leaders, and members of the public in each region of the state put to work their unique knowledge and understanding of local priorities and assets to help direct state investment in support of job creation and economic growth. The REDC dataset contains population and acreage information for each region. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Per capita carbon dioxide (CO₂) emissions in India have soared in recent decades, climbing from 0.4 metric tons per person in 1970 to a high of 2.07 metric tons per person in 2023. Total CO₂ emissions in India also reached a record high in 2023. Greenhouse gas emissions in India India is the third-largest CO₂ emitter globally, behind only China and the United States. Among the various economic sectors of the country, the power sector accounts for the largest share of greenhouse gas emissions in India, followed by agriculture. Together, these two sectors were responsible for more than half of India's total emissions in 2023. Coal emissions One of the main reasons for India's high emissions is the country's reliance on coal, the most polluting of fossil fuels. India's CO₂ emissions from coal totaled roughly two billion metric tons in 2023, a near sixfold increase from 1990 levels.

We are interested in the spatial distribution of fossil-fuel-related emissions of CO2 for both geochemical and geopolitical reasons, but it is important to understand the uncertainty that exists in spatially explicit emissions estimates. Working from one of the widely-used gridded data sets of CO2 emissions, we examine the elements of uncertainty, focusing on gridded data for the U.S. at the scale of 1 degree latitude by 1 degree longitude. Uncertainty is introduced in the magnitude of total U.S. emissions, the magnitude and location of large point sources, the magnitude and distribution of non-point sources, and from the use of proxy data to characterize emissions. For the U.S. we develop estimates of the contribution of each component of uncertainty. At 1 degree resolution, in most grid cells, the largest contribution to uncertainty comes from how well the distribution of the proxy (in this case population density) represents the distribution of emissions. In other grid cells the magnitude and location of large point sources make the major contribution to uncertainty. Uncertainty in population density can be important where a large gradient in population density occurs near a grid cell boundary. Uncertainty is strongly scale-dependent with uncertainty increasing as grid size decreases. Uncertainty for our data set with one degree grid cells for the U.S. is typically on the order of +/- 150%, but this is perhaps not excessive in a data set where emissions per grid cell vary over 8 orders of magnitude.

Abstract:

Ammonia-based synthetic nitrogen fertilizers (N-fertilizers) are critical for global food security. However, their production, primarily dependent on fossil fuels, is energy- and carbon-intensive and vulnerable to supply chain disruptions, affecting 1.8 billion people reliant on either imported fertilizers or natural gas. Here, we examine the global N-fertilizers supply chain and analyze context-specific trade-offs of low-carbon ammonia production pathways. Carbon capture and storage can reduce overall emissions by up to 70%, but still relies on natural gas. Electrolytic and biochemical processes minimize emissions but are 2 to 3 times more expensive and require 100 to 300 times more land and water than the business-as-usual production. Decentralized production has the potential to reduce transportation costs, emissions, reliance on imports, and price volatility, increasing agricultural productivity in the Global South, but requires policy support. Interdisciplinary approaches are essential to understand these trade-offs and find resilient ways to feed a growing population minimizing climate impacts.

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Techsalerator’s Business Funding Data for Indonesia

Techsalerator’s Business Funding Data for Indonesia provides a comprehensive and insightful collection of information essential for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of funding activities across various sectors in Indonesia, capturing and categorizing data related to funding rounds, investment sources, and financial milestones.

For access to the full dataset, contact us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Indonesia

Techsalerator’s Business Funding Data for Indonesia delivers a detailed and insightful overview of critical information for businesses, investors, and financial analysts. This dataset provides a thorough examination of funding activities across diverse sectors in Indonesia, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

Company Name: Identifies the company receiving funding. This information helps investors identify potential opportunities and allows analysts to monitor funding trends within specific industries.

Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts reveals insights into the financial health and growth potential of businesses and the scale of investment activities.

Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Indonesia

Technology and Startups: Significant investments are being made in technology startups, including fintech, e-commerce, and software development. These investments are critical for fostering innovation and driving digital transformation in Indonesia.

Renewable Energy: With a growing focus on sustainability, funding is directed towards renewable energy projects such as solar, wind, and bioenergy, aiming to reduce reliance on fossil fuels and promote environmental sustainability.

Healthcare and Biotechnology: Increased funding is flowing into healthcare infrastructure, biotechnology, and health tech to address the healthcare needs of the population and support medical research and innovation.

Agriculture and Food Security: Funding is being allocated to modernize agricultural practices, enhance food security, and support agritech solutions that improve productivity and sustainability in the sector.

Education and Skill Development: Investments are directed towards educational initiatives and vocational training programs aimed at improving literacy rates, enhancing skills, and creating employment opportunities.

Top 5 Companies with Notable Funding Data in Indonesia

Gojek: A leading tech company providing ride-hailing, delivery, and digital payment services, Gojek has received substantial funding to expand its services and enhance its technology platform.

Tokopedia: As one of Indonesia’s largest e-commerce platforms, Tokopedia has secured significant investment to support its growth, enhance its platform, and expand its market presence.

Traveloka: This travel and lifestyle platform has garnered notable funding to improve its services, expand its offerings, and strengthen its position in the Southeast Asian market.

Bukalapak: Another major e-commerce player, Bukalapak has attracted substantial investment to bolster its platform, enhance user experience, and support its expansion efforts.

Halodoc: A health tech company providing telemedicine services, Halodoc has received significant funding to expand its digital health solutions and improve access to healthcare across Indonesia.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Indonesia, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

Company Name Funding Amount Funding Round Investor Name Investment Date Funding Type (Equity, Debt, Grants, etc.) Sector Focus Deal Structure Investment Stage Contact Information For detailed insights into funding activities and financial trends in Indonesia, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

The Climate Leadership and Community Protection Act (CLCPA) directs the Climate Justice Working Group (CJWG) to establish criteria for defining disadvantaged communities. This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The Smithsonian's "Eruptions, Earthquakes, & Emissions" web application (or "E3") is a time-lapse animation of volcanic eruptions and earthquakes since 1960. It also shows volcanic gas emissions (sulfur dioxide, SO2) since 1978 — the first year satellites were available to provide global monitoring of SO2. The eruption data are drawn from the Volcanoes of the World (VOTW) database maintained by the Smithsonian's Global Volcanism Program (GVP). The earthquake data are pulled from the United States Geological Survey (USGS) Earthquake Catalog. Sulfur-dioxide emissions data incorporated into the VOTW for use here originate in NASA's Multi-Satellite Volcanic Sulfur Dioxide L4 Long-Term Global Database. Please properly credit and cite any use of GVP eruption and volcano data, which are available via a download button within the app, through webservices, or through options under the Database tab above. A citation for the E3 app is given below.Clicking the image will open this web application in a new tab.Citation (example for today)Global Volcanism Program, 2016. Eruptions, Earthquakes & Emissions, v. 1.0 (internet application). Smithsonian Institution. Accessed 19 Oct 2018 (https://volcano.si.edu/E3/).Frequently Asked QuestionsWhat is the Volcanic Explosivity Index (VEI)?VEI is the "Richter Scale" of volcanic eruptions. Assigning a VEI is not an automated process, but involves assessing factors such as the volume of tephra (volcanic ash or other ejected material) erupted, the height the ash plume reaches above the summit or altitude into the atmosphere, and the type of eruption (Newhall and Self, 1982). VEIs range from 1 (small eruption) to 8 (the largest eruptions in Earth's entire history).What about eruptions before 1960?For information about volcanic eruptions before 1960, explore the GVP website, where we catalog eruption information going back more than 10,000 years. This E3 app only displays eruptions starting in 1960 because the catalog is much more complete after that date. For most eruptions before the 20th century we rely on the geologic record more than historical first-hand accounts — and the geologic record is inherently incomplete (due to erosion) and not fully documented.What are "SO2 emissions" and what do the different circle sizes mean?The E3 app displays emissions of sulfur dioxide gas (SO2) from erupting volcanoes, including the mass in kilotons. Even though water vapor (steam) and carbon dioxide gas (see more about CO2 below) are much more abundant volcanic gases, SO2is the easiest to detect using satellite-based instruments, allowing us to obtain a global view. There is no universally accepted "magnitude" scale for emissions; the groupings presented here were chosen to best graphically present the relative volumes based on available data.What am I seeing when I click on an SO2 emission event?You are seeing a time-lapse movie of satellite measurements of SO2 associated with a particular emission event. These SO2 clouds, or plumes, are blown by winds and can circle the globe in about a week. As plumes travel, they mix with the air, becoming more dilute until eventually the concentration of SO2 falls below the detection limit of satellites. Earth's entire atmosphere derives from outgassing of the planet — in fact, the air you breathe was once volcanic gas, and some of it might have erupted very recently!Why are there no SO2 emissions before 1978?E3 shows volcanic gas emissions captured from satellite-based instruments, which were first deployed in 1978. NASA launched the Total Ozone Mapping Spectrometer (TOMS) in 1978, which provided the first space-borne observations of volcanic gas emissions. Numerous satellites capable of measuring volcanic gases are now in orbit.Why don't you include H2O and CO2 emissions?The most abundant gases expelled during a volcanic eruption are water vapor (H2O in the form of steam) and carbon dioxide (CO2). Sulfur dioxide (SO2) is typically the third most abundant gas. Hydrogen gas, carbon monoxide and other carbon species, hydrogen halides, and noble gases typically comprise a very small percentage of volcanic gas emissions. So why can't we show H2O and CO2 in the E3 app? Earth's atmosphere has such high background concentrations of H2O and CO2 that satellites cannot easily detect a volcano's signal over this background "noise." Atmospheric SO2 concentrations, however, are very low. Therefore volcanic emissions of SO2 stand out and are more easily detected by satellites. Scientists are just beginning to have reliable measurements of volcanic carbon dioxide emissions because new satellites dedicated to monitoring CO2 have either recently been launched or have launches planned for the coming decade.How much carbon is emitted by volcanoes?We don't really know. CO2, carbon dioxide, is the dominant form of carbon in most volcanic eruptions, and can be the dominant gas emitted from volcanoes. Humans release more than 100 times more CO2 to the atmosphere than volcanoes (Gerlach, 2011) through activities like burning fossil fuels. Because of this, the background levels of CO2 in the atmosphere have risen to levels that are so high (greater than 400 parts per million, or 0.04%) that satellites cannot easily detect the CO2 from volcanic eruptions. Scientists are able to estimate the amount of carbon flowing from Earth's interior to exterior (the flux) by measuring carbon emissions directly at volcanic vents and by measuring the carbon dissolved in volcanic rocks. Scientific teams in the Deep Carbon Observatory (one of the supporters of E3) are working to quantify the flux of carbon from Earth's interior to exterior.Do volcanic emissions cause global warming?No, not in modern times. The dominant effect of volcanic eruptions is to cool the planet in the short term. This is because sulfur emissions create aerosols that block the sun's incoming rays temporarily. While volcanoes do emit powerful greenhouse gases like carbon dioxide, they do so at a rate that is likely 100 times less than humans (Gerlach, 2011). Prior to human activity in the Holocene (approximately the last 10,000 years), volcanic gas emissions did play a large role in modulating Earth's climate.Volcanic eruptions and earthquakes seem to occur in the same location. Why?Eruptions and earthquakes occur at Earth's plate boundaries — places where Earth's tectonic plates converge, diverge, or slip past one another. The forces operating at these plate boundaries cause both earthquakes and eruptions. For example, the Pacific "Ring of Fire" describes the plate boundaries that surround the Pacific basin. Around most of the Pacific Rim, the seafloor (Earth's oceanic crust) is "subducting" beneath the continents. This means that the seafloor is being dragged down into Earth's interior. You might think of this as Earth's way of recycling! In this process, ocean water is released to Earth's solid rocky mantle, melting the mantle rock and generating magma that erupts through volcanoes on the continents where the plates converge. In contrast, mid-ocean ridges, chains of seafloor volcanoes, define divergent plate boundaries. The Mid-Atlantic Ridge that runs from Iceland to the Antarctic in the middle of the Atlantic Ocean is one example of a divergent plate boundary. Earth's crust is torn apart at the ridge, as North and South America move away from Europe and Africa. New lava erupts to fill the gap. This lava cools, creating new ocean crust. All these episodes where solid rock collides or is torn apart generate earthquakes. And boom! You have co-located eruptions and earthquakes. To learn more about plate margins using E3, watch this video.Is this the first time eruptions, emissions, and earthquakes have been animated on a map?E3 is a successor to the program Seismic/Eruption developed by Alan Jones (Binghamton University). That program was one of the first to show the global occurrence of earthquakes (USGS data) and eruptions (GVP data) through space and time with animations and sound. The program ran in the Smithsonian's Geology, Gems, and Minerals Hall from 1997 to 2016, and was also available on the "Earthquakes and Eruptions" CD-ROM. E3 builds upon Seismic/Eruption with the addition of emissions data and automated data updates.How many eruptions and emissions are shown, and from how many volcanoes?The application is currently showing 2,065 eruptions from 334 volcanoes. It is also showing 360 emission activity periods from 118 different volcanoes. In addition, there are 67 animations available showing the movement of SO2 clouds from 44 volcanoes.How often do you update the data represented in the web application?The application checks for updates once a week. Earthquake data, being instrumentally recorded, is typically very current. Eruption data, which relies on observational reports and analysis by GVP staff, is generally updated every few months; however, known ongoing eruptions will continue through the most recent update check. Emissions data is collected by satellite instruments and also must be processed by scientists, so updates will be provided as soon as they are available following an event, on the schedule with eruption updates.Is my computer system/browser supported? Something isn't working right.To run the map, your computer and browser must support WebGL. For more information on WebGL, please visit https://get.webgl.org to test if it should work.Source Obtained from http://volcano.si.edu/E3/

Techsalerator's Corporate Actions Dataset in St. Kitts & Nevis offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 14 companies traded on the Eastern Caribbean Securities Exchange (XECS).

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Top 5 used data fields in the Corporate Actions Dataset for St. Kitts & Nevis:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in St. Kitts & Nevis:

Tourism Infrastructure Development: Corporate actions related to the expansion and development of tourism infrastructure, such as new hotels, resorts, and entertainment facilities, are likely to have a significant impact on the economy due to the importance of tourism to the nation.

Agricultural Initiatives: Corporate actions aimed at enhancing the agricultural sector, including investments in sustainable farming practices, crop diversification, and agribusiness development, can contribute to food security and economic growth.

Renewable Energy Projects: Given the focus on sustainability and the potential for renewable energy generation in the Caribbean, corporate actions involving the establishment of solar or wind energy projects could play a role in reducing dependency on fossil fuels.

Financial Services: Corporate actions related to offshore financial services, including banking, insurance, and financial technology (fintech) ventures, can have an impact on the financial sector and economic diversification.

Real Estate Development: Corporate actions involving real estate development, such as residential and commercial projects, can contribute to local economic growth and provide investment opportunities.

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Top 5 financial instruments with corporate action Data in St. Kitts & Nevis

SKN Stock Exchange (SKNSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the St. Kitts & Nevis Stock Exchange. This index reflects the performance of locally listed companies.

SKN Stock Exchange (SKNSE) Foreign Company Index: An index that tracks the performance of foreign companies listed on the St. Kitts & Nevis Stock Exchange, reflecting international participation in the country's stock market.

CaribbeanMart Supermarkets: A St. Kitts & Nevis-based supermarket chain with operations across the islands. CaribbeanMart focuses on providing essential products to local communities, supporting food security, and contributing to the growth of the retail sector.

IslandFinance St. Kitts & Nevis: A financial services provider with operations across the islands, offering a range of financial products and services to cater to the needs of the local population and contribute to economic development.

CropCare Caribbean: A leading producer and distributor of certified crop seeds, agricultural inputs, and farming technology in St. Kitts & Nevis and neighboring Caribbean countries, supporting sustainable agriculture and food production.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for St. Kitts & Nevis, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in St. Kitts & Nevis?

The cost of the Corporate Actions Dataset may vary depending on f...

We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) focusing on citizens’ perceptions on forest loss-reducing policy instruments along with the role of socio-economic factors on these perceptions. The questionnaire included questions that asked about their opinion about a ban or tax on cutting trees in public and community forests, and a ban or tax on using charcoal. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possess national research permits for each of the five focal countries. The present data description is related to data descriptions "Public acceptance of policy instruments to reduce plastic pollution in East Africa" and "Public acceptability of policy instruments for reducing fossil fuel consumption in East Africa". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q1, q2, q3 and q4, q5, q6. Dependent variables for this study are q7, q8, q9, q10. Missing data points are marked with the value 98.

We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) on public opinions about different policy instruments to reduce plastic pollution. The questionnaire also included questions on material, internal and inter-relational factors, the level of concern about different environmental challenges, trust in others and in government institutions and socio-demographic characteristics. In order to understand the level of public support of policy instruments that address plastic pollution, respondents were asked for their opinion on (i) “a prohibition or ban on the use of plastic bags”; (ii) “a prohibition or ban on the use of single use plastics such as water bottles, straws and plastic spoons, knives and forks”; and (iii) “increasing the price on single use plastics, for example, by introducing a tax”. The responses were recorded on a Likert scale of 1-5, with 1 as strongly against and 5 as strongly in favor. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possesses national research permits for each of the five focal countries. The present data description is related to data descriptions " Public acceptance of policy instruments to reduce forest loss: Exploring cross-national variation in East Africa " and "Public acceptability of policy instruments for reducing fossil fuel consumption in East Africa". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q4, q5, q6 and q7, q8, q9, q10. Dependent variables for this study are q1, q2, q3. Missing data points are marked with the value 98.