The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving:
(a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency.

Please note that the reporting results does not include CONFIDENTIAL projects. You can learn more about specific indicators at https://www.climateinvestmentfunds.org/cif/sites/climateinvestmentfunds.org/files/CTF%20Monitoring%20and%20Reporting%20Toolkit%20Version%204.6%20.pdf .

Micro, Small and Medium Enterprises (MSMEs) are one of the strongest drivers of economic development, innovation and employment.
Access to finance is frequently identified as a critical barrier to growth for MSMEs.Creating opportunities for MSMEs in emerging markets is a key way to advance economic development and reduce poverty.
The private and public sector can better address this matter if they have better insights about the magnitude and nature of the finance gap. Hence, sizing MSME finance gap is crucial for the governors, financiers and other private sector players to target high potential growth areas and hence more efficiently support MSME sector development.
MSME finance gap is estimated as the difference between current supply and potential demand which can potentially be addressed by financial institutions. The MSME finance gap assumes that the firms in a developing country have the same willingness and ability to borrow as their counterparts in well- developed credit markets and operate in comparable institutional environments — and that financial institutions lend at similar intensities as their benchmarked counterparts.

See http://www.smefinanceforum.org/data-sites/msme-finance-gap

List of Guarantee Projects approved since Fiscal Year 2016.

This dataset contains raw response data to a nano-survey that was conducted in Indonesia and Kenya on the demand for open financial data. You can read more about the project here: (http://bit.ly/OpenDemand). A nano-survey is an innovative technology that extends a brief survey to a random sampling of internet users. Note: "NA" indicates "No Answer."

Lack of access to financial services is a key barrier to the growth of micro, small, medium enterprises (MSMEs). IFC is working to develop solutions to close the MSME financing gap. By partnering with many types of financial intermediaries, including microfinance institutions (MFIs), commercial banks, leasing companies, and private equity funds, IFC reaches many more small and medium enterprises (SMEs) than it could directly.

See http://smefinanceforum.org

MSME-CI presents secondary data collected by various institutions (statistical institutes, ministries, international organizations, small business promotion agencies, research institutions and others) using different methods (survey, census and others). Please read the “Description Note on the MSME Country Indicators 2014” along with the country specific comments in the Micro, Small, and Medium Enterprise Country Indicators before using the data. http://msmecountryindicators.smefinanceforum.org/description.html

This dataset contains raw response data to a nano-survey that was conducted in Morocco on the right to access to information and the right to petition and motion the government. A nano-survey is an innovative technology that extends a brief survey to a random sampling of internet users. Note: "NA" or "N/A" indicates "No Answer." Sub-national location data is available for 2/3 of survey recipients. 54,441 random internet users in Morocco were exposed to a portion of this survey, with 15,020 respondents providing at least partial responses.

This dataset contains the names and basic information about companies that were contacted in the process of a research which aimed to identify open data companies in emerging markets, specifically in Latin America, Southeast Asia, Africa, as well as India and Russia. The data was collected by several vendors and consultants and was not validated independently by the World Bank staff. Data was collected over a short period of 4-6 weeks in the spring of 2014 and represents data-centric companies that vendors/consultants were able to identify in that timeframe.