Over the past decades, education investments in the developing world have led to unprecedented enrollment rates. Yet, even with these historic investments, children sit in classrooms every day without learning. More than a schooling crisis, we face a learning crisis. Despite progress in countries as diverse as Vietnam, Colombia and Peru, millions of children leave school without knowing how to read a paragraph or solve a simple two-digit subtraction.
Nguyen’s story illustrates some of the problems global agriculture faces, and how they unfold for farmers on the ground. Rapid population growth, dietary shifts, resource constraints, and climate change are confronting farmers who need to produce more with less. Indeed, the Food and Agriculture Organization (FAO) estimates that global food production will need to rise by 70% to meet the projected demand by 2050. Efficient management and optimized use of farm inputs such as seeds and fertilizer will be essential. However, managing these inputs efficiently is difficult without consistent and precise monitoring. For smallholder farmers, who account for 4/5 of global agricultural production from developing regions, getting the right information would help increase production gains. Unfortunately, many of them still rely on guess work, rather than data, for their farming decisions.
This is where agriculture can get a little help from the Internet of Things (IoT)—or internet-enabled communications between everyday objects. Through the IoT, sensors can be deployed wherever you want–on the ground, in water, or in vehicles–to collect data on target inputs such as soil moisture and crop health. The collected data are stored on a server or cloud system wirelessly, and can be easily accessed by farmers via the Internet with tablets and mobile phones. Depending on the context, farmers can choose to manually control connected devices or fully automate processes for any required actions. For example, to water crops, a farmer can deploy soil moisture sensors to automatically kickstart irrigation when the water-stress level reaches a given threshold.
- Climate-Smart Agriculture
- agricultural risk
- climate risk
- digital innovation
- Disruptive Technologies
- digital connectivity
- digital revolution
- Internet of Things
- food security
- Food Production
- Sustainable Communities
- ICT in Agriculture
- Climate Change
- Information and Communication Technologies
- Agriculture and Rural Development
- East Asia and Pacific
Vietnam has a vision. By 2035, it aspires to become a prosperous, creative, equitable and democratic nation. Achieving this ambitious goal has set Vietnam on a path of transformation on multiple fronts – economic, social, and political.
At the core of this transformation is the re-orientation of the state’s role in economic management. This requires adapting Vietnam’s economic governance so that the state becomes a skilled facilitator of three types of relationships: among government agencies, between the state and market, and between the state and citizens.
Not too long ago, Malaysia walked in Vietnam’s shoes, implementing its own wide-ranging transformation. In 2009, Malaysia embarked on the National Transformation Program (NTP) that included focus on both government and economic transformations. Malaysia had also adopted good practices that simplified regulations, which made it easier for firms to interact with the state.
Assessments make a lot of people nervous, and I’m not just talking about the students who have to take them. As a psychometrician (assessment expert) and World Bank staffer, I’ve worked on assessment projects in more than 30 countries around the world over the past 10 years. Time and again, I’ve found great interest in student assessment as a tool for monitoring and supporting student learning coupled with great unease over how exactly to go about ‘doing’ an assessment.
The World Bank Group surveys its stakeholders from country governments, development organizations, civil society, private sector, academia, and media in all client countries across the globe. Building a dialogue with national governments and non-state partners based of the data received directly from them is an effective way to engage stakeholders in discussions in any development area at any possible level.
Let's take the education sector as an example to see how Country Survey data might influence the engagement that the Bank Group has on this highly prioritized area of work.
When Country Surveys ask what respondents identify as the greatest development priority in their country, overall, education is perceived as a top priority (31%, N=263) in India.1 However, in a large country, stakeholder opinions across geographic locations may differ, and the Country Survey data can be 'sliced and diced' to provide insight into stakeholders' opinions based on their geography, gender, level of collaboration with the Bank Group, etc. In India the data analyzed at the state level shows significant differences in stakeholder perceptions of the importance of education. The survey results can be used as a basis for further in-depth analyses of client's needs in education in different states and, therefore, lead to more targeted engagement on the ground. In the case of the India Country Survey, the Ns at the geographical level may be too small to reach specific conclusions, but this example illustrates the possibility for targeted analysis.
Last August, I visited Quang Ngai, a central coastal province in Vietnam, to collect data for a survey on women’s participation in resettlement activities. I expected our first meeting with the local community to be short and uncontroversial. It wasn’t.
“We, women? Our participation? It doesn’t matter. We all stay at home. We don’t care about you coming here and asking about our participation,” said one female participant. “What we do care is to know the extent to which the recommendations we make today will be addressed. We need a resettlement site with community house, trees and kindergarten as promised during the project preparation.”
That comment brought to light an important perspective, highlighting the tension between what we might expect women to want, and their actual needs.
The impacts of development-induced resettlement disproportionately affect women, as they are faced with more difficulties than men to cope with disruption to their families. And this is particularly the case if there is no mechanism to enable meaningful participation and consultation with women throughout the project cycle in general and in the resettlement process in particular.
Also available in: Tiếng Việt
It’s nighttime and the streets are bustling in Vietnam’s cities and towns. Buoyed by years of strong growth, the country has a burgeoning middle class with purchasing power to sustain restaurants and cafes, full and open late into the night, busy retailers and a high penetration of mobile phones – more than one per person. The economy, however, continues to run on cash and a majority of adults still don’t have formal financial services such as a basic transaction account. Moving to a “non-cash” system is a priority for the government to increase efficiency, promote business and economic development and reduce poverty including in remote rural areas where traditional financial providers have difficulty reaching.
Since 2016 the State Bank of Vietnam, the country’s central bank, has been partnering with the World Bank Group on a comprehensive approach to financial inclusion which will result in a national financial inclusion strategy. While still in development, several key elements of the strategy are clear: a focus on digital finance including shifts in government payments to digital products and platforms; providing financial services to rural and agricultural communities and ethnic minorities, where growth has lagged and poverty rates are above the national average; and strengthening consumer protection and financial education so that the next generation of consumers are prepared for a modern financial marketplace.
Migrants represent 15% of Malaysia’s workforce, making the country home to the fourth largest number of migrants in the East Asia Pacific region. The migrant population is diverse, made up of workers from Indonesia, Bangladesh, Nepal, Myanmar, Vietnam, China and India, among many other countries.