Over the past decade, commitments and support for Forest Landscape Restoration have grown significantly. As part of the Bonn Challenge, for instance, some 40 countries, sub-national jurisdictions, and non-governmental entities have now pledged to restore forest landscapes across 148 million hectares. Although the environmental benefits in terms of ecosystem services, soil restoration, water, biodiversity and climate resilience are evident, the tremendous economic arguments and the value proposition for poor people living in, or nearby, the forests, are not always at the forefront of the efforts to restore landscapes.
In fact, some 1.3 billion people around the world depend on forests for their livelihood—that is 20% of the global population. This includes income from the sale of trees and tree-related products. It also includes the value of fruit, fodder, medicines, and other direct or indirect products that they consume. However, the restoration of forest landscape at a global scale needs a new vision for an integrated forest economy which appreciates and understands forests along their entire value chain. Thus it is crucial to see forest landscape restoration efforts as much more than just protecting forests, but as a force for economic growth and poverty reduction.
For the past two years, the rains have been poor in Somalia. What comes next is tragically familiar. Dry wells. Dying livestock. Failed harvests. Migration. Masses of people in dire need of humanitarian assistance. The same is happening in Yemen, Sudan, Kenya, Ethiopia, and Nigeria. However, poor rains are not the only water problem that creates havoc. Floods, water-borne diseases, and transboundary water conflicts can all cause severe human suffering and disruptions to political, economic, and environmental systems.
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We are developing Macro Simulation Models to estimate how investments and interventions may generate jobs. Following the Jobs Study conducted by the International Finance Corporation (IFC), the World Bank Group’s private sector arm, the Let’s Work Partnership was established to develop, refine, and apply tools to estimate direct, indirect, and induced job effects. Macro models are one of these tools.
The Central Statistical Agency (CSA) in collaboration with the World Bank’s Living Standards Measurement Study (LSMS) team launched the third wave (2015–16) of the Ethiopia Socioeconomic Survey (ESS) panel data, on February 22, 2017.
The ESS is a nationally representative survey administered every 2 years that covers a range of topics including demography, education, health, savings, labor, welfare, and agriculture, food security and shocks. The data is collected in two visits: post-planting and post-harvest seasons. The survey follows the same households over time and collects a rich set of information, to allow for comprehensive panel data analyses that can help shape policies for a wide array of development sectors.
Here are some interesting findings from the ESS 2015–16 survey:
Over the past five years, we have seen the emergence of a number of eGovernment applications and platforms in East Africa, leveraging the growth of internet and smartphone penetration to improve the reach and quality of government service delivery. While a number of these technology solutions, particularly in tax administration, trade facilitation and financial management systems, have been sourced from international providers – based in the United States, India and Singapore – African information and computer technology (ICT) firms have also played a major role in this surge in online service delivery to citizens and businesses.
The use of various “managed service” models, such as eGovernment public-private partnerships (PPPs) and cloud hosting, has allowed even governments with limited in-house ICT capacity to deliver services online in a sustainable manner. The World Bank Group (WBG) has also played an important role in developing the ability of local firms to effectively provide services to government clients by sharing good international practices and by funding the development of these locally grown technology solutions.
Kenya e-Citizen improves revenue generation as it cuts compliance costs for citizens and businesses
This digital services and payment platform – https://www.ecitizen.go.ke/ – was initially piloted in 2014 with seed funding from the Kenya Investment Climate Program of the WBG's Trade & Competitiveness (T&C) Global Practice. The technology platform was developed and is now managed through an outsourcing arrangement by government with a local ICT firm. It has grown organically, expanding from eight government-to-citizen (G2C) and government-to-business (G2B) services to more than 100 today, covering such areas as driver’s licenses, passport and visa applications, company and business name registration, work permit administration and civil registration. Citizens are able to register and obtain login credentials online, through a validation process involving the national ID and SIM card registry databases. They can also pay for services using a variety of methods, including bank transfers, credit cards, MPesa (“mobile wallet”) and other mobile money systems.
Jobs are what we earn, what we do, and sometimes even who we are. For the poor and vulnerable of the world, jobs are key to ending poverty and driving development. But not all jobs are equally transformational. Good jobs add value to society, taking into account the benefits they have on the people who hold them, and the potential spillover effects on others. For example, inclusive jobs, such as those that employ women, can change the way families spend money and invest in the education and health of children.
- Private Sector Development
- Latin America & Caribbean
- The World Region
- South Asia
- South Africa
- Burkina Faso
- Cote d'Ivoire
- West Bank and Gaza
- Sri Lanka
“Why would I want to?” Because in poor countries, chickens are everywhere, they are pooping wherever they want, and chicken feces is dangerous for young children.
In 2016, World Bank Ethiopia launched a Blog4Dev contest inviting students to share their ideas for how Ethiopia can reach middle-income country status without leaving anyone behind. This is the second of three winning entries.
How can Ethiopia reach middle-income country status without leaving anyone behind?
If ever there was a year to make significant progress on forest conservation and climate change, it was 2016. Coming on the heels of the historic COP21 Paris Agreement, 2016 was a year to demonstrate the commitment the World Bank Group has to support countries as they take forward their nationally determined contributions to address our global climate change challenge. It’s gratifying to look back on 2016 and feel that we contributed to harnessing this momentum and sense of urgency; especially in showing how sustainable land use, including sustainable forest management, is critical to achieving the ambitious targets set out in the Paris Agreement.
- capacity building
- forest action plan
- forest conservation
- sustainable land management
- Forest Carbon Partnership Facility
- climate finance
- Climate Change
- Climate Change
- South Asia
- Latin America & Caribbean
- Costa Rica
- Cote d'Ivoire
- Congo, Democratic Republic of
- Congo, Republic of
. Poor source water quality, non-existent or insufficient treatment, and defects in water distribution systems and storage mean these consumers use water that often doesn’t meet the WHO’s Guidelines for Drinking Water Quality.
The crowdsourcing framework develops a strategy to engage citizens in measuring and learning about the quality of their own drinking water. Through their participation, citizens provide utilities and water supply agencies with cost-effective water quality data in near-real time. Following a typical crowdsourcing model: consumers use their mobile phones to report water quality information to a central service. That service receives the information, then repackages and shares it via mobile phone messages, websites, dashboards, and social media. Individual citizens can thus be educated about their water quality, and water management agencies and other stakeholders can use the data to improve water management; it’s a win-win.