Poverty
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India suffers from significant poverty, with over half of Indians living on less than $1 per day according to one study. Another report found that 77% of Indians, over 800 million people, live on less than $0.50 per day. Estimating poverty in India is challenging due to inconsistent data, but it is clear a large portion of the population lives in severe poverty. The causes of poverty are debated, with some arguing it stems from colonial exploitation, while others point to unemployment, lack of property rights, dependence on agriculture, high population growth, and the caste system.
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This document provides information on the economic development, agriculture sector, and employment sector of India, Bangladesh, Japan, and the United States. It notes that India's economy has grown at an average of 7.5% annually since liberalization in the 1990s. Agriculture accounts for 18.6% of India's GDP but employs 60% of the workforce. Bangladesh has experienced strong export-led growth of 6% annually since 2004, led by its textile industry. Japan has the third largest economy in the world and a highly productive agricultural sector due to terraced farming. The US has a mixed economy and the largest total GDP, with government and small businesses being the largest employment sectors.
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China has a larger economy than India based on GDP and GDP per capita. China also has lower unemployment and inflation rates, and a higher current account balance. However, China's GINI coefficient is worse than India's, indicating greater inequality. While China has a larger population, India has a younger population that is less urbanized. China has a larger labor force and higher rates of life expectancy, literacy, and urbanization compared to India.
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Poverty and Chronic Poverty in India
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Poverty in India is widespread, with over 300 million people expected to be lifted out of extreme poverty by 2015 according to a UN report. However, India still faces significant issues with malnutrition and hunger. A committee headed by Suresh Tendulkar developed a new methodology for calculating poverty in India that found over 350 million people lived below the poverty line in 2005. The document then discusses several root causes of poverty in India, including population growth, lack of irrigation and infrastructure in rural areas, unemployment, and social factors like the caste system. Overpopulation is seen as a major challenge exacerbating poverty in India. Improving agricultural productivity and reducing the development gap between states could help address poverty.
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This document summarizes the relationship between government corruption and poverty in India. It notes that India has widespread government corruption and is also home to a large population living in poverty. Government corruption can increase poverty by diverting public funds meant for social services to private gains, reducing economic growth that could lift people out of poverty, and undermining public trust in government institutions. However, not all poverty is caused by corruption as India also faces challenges of population growth, income inequality, and lack of education and job opportunities. Overall, while corruption likely exacerbates poverty, the relationship is complex with many contributing factors.
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Pros And Cons Of Poverty In India
India faces significant poverty issues, with over 194 million people living below the poverty line. Poverty is caused by social issues like the caste system, which discriminates against lower castes. Demographic factors like population growth and a lack of job opportunities also contribute to poverty. Economic constraints in India, including a lack of resources and limited development, prevent adequate investment in education and social programs, perpetuating the cycle of poverty from generation to generation. Corruption also plagues poverty alleviation efforts. While the government and organizations are working to alleviate poverty, it remains a serious problem in India due to deep-rooted social, demographic, and economic challenges.
Does economic growth reduce poverty in nigeria (2)
This document summarizes a study that examines the relationship between economic growth and poverty in Nigeria. The study uses econometric analysis of time series data from 1980 to 2008 to determine if there is a significant relationship between GDP growth rates and poverty levels in Nigeria. The empirical findings show a direct relationship, meaning that economic growth has not reduced poverty in Nigeria. This contradicts the theory that economic growth will trickle down to reduce poverty. The study suggests that policymakers need to ensure a more equitable distribution of national income and improve public services that support poverty reduction, such as education.
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This document provides statistics and facts about various socioeconomic indicators in India such as per capita income, human development index rankings, levels of hunger, unemployment, education, literacy, research and development, and defense spending. It highlights that India has a large gap compared to developed nations in terms of income, ranks low on human development factors, and nearly half the population suffers from malnutrition while unemployment is also high. Expenditure on education, healthcare and social welfare is low while military spending is significant.
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India’s wealth and poverty levels
This study will focus on the economic standards of India and the factors that have lead India to have a wealth and poor population at the same time. India over the last couple of year, it has experienced an increased per capita income due to its increased work force. Also, India has been known as one of the countries with a large population languishing over poverty.
India has been experiencing an increase in its economic growth rate over the last four years. In the fiscal year 2014 - 2015 the country had a 7.4% economic increase compared to a 6.9% increase in the fiscal year 2013 - 2014. The country is projecting an economic increase in the fiscal year 2015- 2016 of 7.5%. India was listed the 19th largest merchandise in the year 2013 and with a large export of services which saw India in the 6th position worldwide. The country is not only in the top service export list but also in the import list it was ranked 7th importing merchandise of worthy of $616.7 billion in a total.
In fact, this increase in India’s economic growth has been due to an increased output and high performance of two industries that are the agriculture industry and manufacturing industries. These industries the largest India’s economic growth shareholders and their performance influence the country’s economic growth rate in every fiscal year (Maddison, 2013).
Moreover, India has been among the best known manufacturing industry in the world. This has in turn led the government to allow investors in the country to invest in the sector. The fast growing and large population has provided force labor to the upcoming industries (Maddison, 2013). A large percentage of India’s population is comprised of poor citizens who in turn provide cheap labor to the industries, hence low input which gives the companies large marginal profits.
In addition, the large Indian population has also been a target for the manufacturing industries whose final products are consumed locally in the country before they are exported to other countries. India’s large population has been in the service that also has contributed to the county’s economic growth (Maddison, 2013). The service sector offers services like the tourism, heath care; telecommunication and trade travel services between other many services. These statistics shows that India has been experiencing an increase in its economy.
Furthermore, India is one of the countries that are known to poses both a rich group of individuals and at the same time a large population in poverty. The number of poor in India is reducing significantly over the past four years. Though there are different methods to measure poverty a conclusion has been achieved that India has a large population living under the poverty line. India’s population has been increasing yearly at a rate of 1.8 million people (Krishna, 2006). This has led to their population reaching 1.28 billion people. According to a research curried out by the wo.
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This document provides information about poverty in India. It discusses causes of poverty such as lack of literacy, large family sizes, lack of employment opportunities other than agriculture, and slow economic growth. The government has implemented various initiatives to address poverty through employment programs, family planning programs, farmer insurance, housing programs, and rural development programs. Poverty remains a major challenge in India, especially in rural areas where about two-thirds of poor people live due to factors like low agricultural productivity and underemployment.
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Unemployment is a major challenge in India. There are several types of unemployment including rural unemployment like seasonal unemployment and disguised unemployment, and urban unemployment like educated unemployment, industrial unemployment, and structural unemployment. The causes of unemployment include slow economic growth that has not created enough jobs, a growing labor force due to population increase and changing attitudes, the adoption of capital-intensive technologies inappropriate for India's situation, the caste system, low savings and investment rates, ineffective economic planning, the joint family system, seasonality in agriculture, and gender disparities. Unemployment leads to underutilization of human resources and hardship.
UNEPLOYMENT.docx
Unemployment is a major challenge in India. There are several types of unemployment including rural unemployment like seasonal unemployment and disguised unemployment, and urban unemployment like educated unemployment, industrial unemployment, and structural unemployment. The causes of unemployment include slow economic growth that has not created enough jobs, a growing labor force due to population increase and changing attitudes, the adoption of capital-intensive technologies inappropriate for India's situation, the caste system, low savings and investment rates, ineffective economic planning, the joint family system, seasonality in agriculture, and gender disparities. Unemployment leads to underutilization of human resources and hardship.
UNEPLOYMENT.pdf
Unemployment is a major challenge in India. There are several types of unemployment including rural unemployment like seasonal unemployment and disguised unemployment, as well as urban unemployment such as educated unemployment, industrial unemployment, and structural unemployment. The causes of unemployment include slow economic growth that has not created enough jobs, a growing labor force due to population increase, the use of inappropriate capital-intensive technologies, the caste system, low savings and investment rates, ineffective economic planning, the joint family system, seasonality in agriculture, and gender disparities. Unemployment has remained a persistent problem in India despite efforts to address it.
World bank data
This document provides an overview of key development indicators and challenges in India, as well as details on World Bank programs and support for India. Some key points:
- India has seen high growth but also has wide disparities, with over 300 million people living below the poverty line.
- World Bank support focuses on infrastructure development, improving conditions in lagging states, strengthening the financial sector to support SMEs, and making service delivery more effective.
- Major World Bank projects include investments in transportation, power, and urban development to address infrastructure bottlenecks constraining growth. Assistance also targets agriculture, education, health, and other social sectors.
- Moving forward, addressing regional disparities, skills development,
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This document provides information about poverty in India. It discusses the causes of poverty in both rural and urban areas of India. Some key causes mentioned are lack of education and employment opportunities, large family sizes, and low agricultural productivity. The document also outlines various government initiatives to address poverty such as employment guarantee programs and initiatives for farmers, housing, and development. Statistics are presented on the declining rates of poverty in India in recent decades but that still many millions remain in poverty.
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This document summarizes a research study on the impact of microfinance banks on the standard of living of hairdressers in Oshodi-Isolo local government area of Lagos State, Nigeria. The study aims to examine how microfinance banks have impacted hairdressers' businesses and their ability to acquire assets and save. It involved surveying 120 hairdressers registered with the local government. The results found a significant relationship between microfinance efforts and the hairdressers' standard of living, indicating that microfinance has helped reduce poverty somewhat among this group. The study recommends that government ensure microfinance loans are easily obtainable with reasonable repayment schedules.
india's population as an asset or liability
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- India has a young population, with around 60% under the age of 35. This large working age population provides a potential demographic dividend if the population is educated and skilled.
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Poverty remains a significant problem in India, with over 27.5% of the population living below the poverty line. Rural areas have significantly higher rates of poverty than urban areas. Several government programs have aimed to reduce poverty through job creation, rural development, education, healthcare, and direct assistance. However, poverty rates remain high due to issues such as corruption, slow economic growth, and lack of access to resources. Reducing poverty will require continued efforts across many sectors including education, employment, infrastructure, and social welfare.
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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National Security Agency - NSA mobile device best practices
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available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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Poverty
- 2. India suffers from a lot of poverty, w ] Monthly per capita consumption expenditure is below Rs. 356.35 f
- 4. Global Institute. This study found 54% of the people living in India were living on a household income of less than 90,000 rupees a year. That means about a dollar per person per day. National Commission for Enterprises in the Unorganised Sector (NCEUS) published a report in 2007. This report state, 77% of Indians (that means 836 million people), lived on less than 20 rupees per day (USD 0.50 nominal, USD 2.0 in PPP). Most of them have no job or
- 5. One of the problems with estimating poverty in India is a lack of consistent and reliable numbers. McKinsey study quoted above (46% at $1 a day or above for a household size of 5) is off by a factor compared to 77% under $0.5 a day by NCEUS. To add insult to injury here are some industry numbers that do not fit
- 7. [4] in Jan 2008; about 400 million in mid 2009 and slated to easily cross 500 Million [5] in 2010 with a current growth rate of over 10 million new cell phones a month. A growth that is clearly not abating. At $20-$200 per cell phone and $0.02-$0.04 a minute rate, it is a luxury that folks earning $1 a day cannot afford after paying for food, housing, clothes. •2001 numbers for basic amenities from census bureau [6] for percentage household reach were Bi-cycles (45%); TV (31%); radio (33%) do not fit well with 77% under $0.5 a day. All these numbers tally well with industry news. Do note this is 2001 census, about 7 years before 77% under $.5 a day was computed. These are amenities households at $1 a day per person cannot afford let alone those with $0.5 a day per person. The country has grown between
- 9. The Developmentalist View: According to this view, India suffers from poverty due to colonial exploitation. The Neoliberal View: According to this view, the following are the causes of poverty. Unemployment and underemployment Lack of property rights Dependence on agriculture High population growth rate Caste system
- 10. Street children in India selling snacks and drinks to bus passengers
Editor's Notes
- II – N . China 1920s , Soviet 1920s –1940s , China’s ‘Great Leap Forward’ early 1960s III – N. Korea’s late 1990s - Famine has shifted from the Northern Hemisphere and Asia to Sub-Saharan Africa Since 1980s, famines have resided in the Horn of Africa , Shift is associated with drop in famine mortality (smaller populations in Africa than Asia)
- - Famines always have political dimensions - Traditionally triggered by nat disasters, with weak local economies, lacking political will & logistical cap to intervene - During colonial period in Africa and Asia, natural triggers and political vulnerability initially increased - Late colonial period mass mortality diminished with developments in communication, transport infrastructure, early warning systems and relief intervention mechanisms
- After independence, India continued to reduce political vulnerability factors Microeconomic vulnerability – household poverty Pol. Instability – civil wars, counter-insurgency, militurization
- Conflict – Mozambique, Liberia Drought – Ethiopia and Sudan