01-PGDBF-Notification.pdf
860.5 KB
PGDBF Scale 1 Credit Officer Recruitment in Central Bank of India.
๐ญ26๐14๐ฅ3๐ฏ2
If Central Bank of India increases PGDBF Credit Officer Course fees to Rs.10 Lakh then how many you are still interested to join this course?
Press ๐ for Yes.
Press ๐ for Yes.
๐118๐ญ91๐36๐25๐ฅฐ3๐ฅ2
Forwarded from Sonali Kothiyal
SBI CLERK Prelims Exams Date out Enroll Now - https://www.ixambee.com/cart/889
๐4
This media is not supported in your browser
VIEW IN TELEGRAM
๐ฅ44โค9๐4
IBPS XIlI (2023-24) Reserve List is Out!๐๐๐๐
PO
https://www.ibps.in/index.php/crp-po-mt-xiii-reservelist-30jan25/
Clerk
https://www.ibps.in/index.php/crp-clerks-xiii-reservelist-30jan25/
SO
https://www.ibps.in/index.php/crp-spl-xiii-reservelist-30jan25/
PO
https://www.ibps.in/index.php/crp-po-mt-xiii-reservelist-30jan25/
Clerk
https://www.ibps.in/index.php/crp-clerks-xiii-reservelist-30jan25/
SO
https://www.ibps.in/index.php/crp-spl-xiii-reservelist-30jan25/
๐7
Check the above link for detailed notification. For #Electronics and #Telecommunication Engineers.
๐8โค4๐2
Measuring Migrant Movement
1. Importance of Migration Data
Migration plays a crucial role in shaping Indiaโs economy, labor market, and urbanization. Internal migration affects job availability, housing, infrastructure, and public services. Understanding migration patterns helps policymakers make informed decisions about employment policies, social security, and urban planning to support both migrant workers and the regions they move to.
2. Traditional Census Data
The Census is the most comprehensive dataset on migration but is conducted only once every ten years, making it ineffective for real-time tracking. While it provides broad trends, the lack of frequent updates limits its ability to capture sudden migration shifts caused by economic changes, natural disasters, or crises like COVID-19.
3. Banking Data as a Proxy
The Economic Advisory Council to the Prime Minister (EAC-PM) analyzed banking data by measuring the ratio of savings to current account balances. A lower ratio indicates high business activity, making such regions attractive to migrants. Cities like Mumbai (0.56), Delhi (2.24), and Bengaluru (2.21) had lower ratios than the national median of 3.72.
4. Telecom Data Analysis
Mobile phone data is a valuable tool to track migration. A decline in active mobile connections in one region and a rise in another suggests population movement. By analyzing call data records and internet usage, researchers can identify migration trends in near real-time, offering more accuracy than census data alone.
5. Railway Ticketing Data
Indian Railwaysโ unreserved ticket data helps track migration patterns, as many migrants rely on affordable trains for travel. Ticket sales reveal major migration corridors, such as Bihar-to-Mumbai or Uttar Pradesh-to-Delhi. This data offers insights into seasonal migration trends and helps authorities plan transport and public welfare measures accordingly.
6. Impact of COVID-19
The COVID-19 pandemic disrupted migration patterns, triggering large-scale reverse migration as urban laborers returned to their villages due to lockdowns. Many faced job losses, lack of social security, and food insecurity. The crisis exposed vulnerabilities in migrant-dependent economies and emphasized the need for improved labor protections and social welfare programs.
7. State-wise Trends
Migration patterns vary by state, with high out-migration observed in Bihar, Uttar Pradesh, and Odisha due to limited job opportunities. Meanwhile, Maharashtra, Gujarat, Delhi, and Karnataka attract migrants due to their industrial hubs and employment prospects. State-wise analysis helps identify regions needing more investment in education, jobs, and infrastructure.
8. Economic Activity Correlation
Regions with a lower savings-to-current account ratio tend to be business and employment centers, making them attractive destinations for migrants. High economic activity in cities like Mumbai and Delhi attracts workers, while rural areas or economically stagnant cities have higher savings ratios, reflecting fewer business transactions and job opportunities.
9. Visualization through Maps and Charts
Data is presented using maps, heatmaps, and flow charts to depict migration patterns across India. These visualizations help policymakers, researchers, and the public understand migration dynamics at a glance. Such tools make it easier to identify major migration corridors, economic hotspots, and regions facing depopulation challenges.
10. Policy Implications
Accurate migration data is crucial for effective policy decisions. It helps governments design labor laws, housing schemes, and social security measures tailored to migrants' needs. Improved data collection methods can assist in urban planning, infrastructure development, and welfare schemes, ensuring migrant workers receive adequate support in both source and destination regions.
1. Importance of Migration Data
Migration plays a crucial role in shaping Indiaโs economy, labor market, and urbanization. Internal migration affects job availability, housing, infrastructure, and public services. Understanding migration patterns helps policymakers make informed decisions about employment policies, social security, and urban planning to support both migrant workers and the regions they move to.
2. Traditional Census Data
The Census is the most comprehensive dataset on migration but is conducted only once every ten years, making it ineffective for real-time tracking. While it provides broad trends, the lack of frequent updates limits its ability to capture sudden migration shifts caused by economic changes, natural disasters, or crises like COVID-19.
3. Banking Data as a Proxy
The Economic Advisory Council to the Prime Minister (EAC-PM) analyzed banking data by measuring the ratio of savings to current account balances. A lower ratio indicates high business activity, making such regions attractive to migrants. Cities like Mumbai (0.56), Delhi (2.24), and Bengaluru (2.21) had lower ratios than the national median of 3.72.
4. Telecom Data Analysis
Mobile phone data is a valuable tool to track migration. A decline in active mobile connections in one region and a rise in another suggests population movement. By analyzing call data records and internet usage, researchers can identify migration trends in near real-time, offering more accuracy than census data alone.
5. Railway Ticketing Data
Indian Railwaysโ unreserved ticket data helps track migration patterns, as many migrants rely on affordable trains for travel. Ticket sales reveal major migration corridors, such as Bihar-to-Mumbai or Uttar Pradesh-to-Delhi. This data offers insights into seasonal migration trends and helps authorities plan transport and public welfare measures accordingly.
6. Impact of COVID-19
The COVID-19 pandemic disrupted migration patterns, triggering large-scale reverse migration as urban laborers returned to their villages due to lockdowns. Many faced job losses, lack of social security, and food insecurity. The crisis exposed vulnerabilities in migrant-dependent economies and emphasized the need for improved labor protections and social welfare programs.
7. State-wise Trends
Migration patterns vary by state, with high out-migration observed in Bihar, Uttar Pradesh, and Odisha due to limited job opportunities. Meanwhile, Maharashtra, Gujarat, Delhi, and Karnataka attract migrants due to their industrial hubs and employment prospects. State-wise analysis helps identify regions needing more investment in education, jobs, and infrastructure.
8. Economic Activity Correlation
Regions with a lower savings-to-current account ratio tend to be business and employment centers, making them attractive destinations for migrants. High economic activity in cities like Mumbai and Delhi attracts workers, while rural areas or economically stagnant cities have higher savings ratios, reflecting fewer business transactions and job opportunities.
9. Visualization through Maps and Charts
Data is presented using maps, heatmaps, and flow charts to depict migration patterns across India. These visualizations help policymakers, researchers, and the public understand migration dynamics at a glance. Such tools make it easier to identify major migration corridors, economic hotspots, and regions facing depopulation challenges.
10. Policy Implications
Accurate migration data is crucial for effective policy decisions. It helps governments design labor laws, housing schemes, and social security measures tailored to migrants' needs. Improved data collection methods can assist in urban planning, infrastructure development, and welfare schemes, ensuring migrant workers receive adequate support in both source and destination regions.
๐15
CBI Credit Officer 2025 Notification Out!! 1000 Vacancies and you only need one!! Any graduate can apply If you have any query related to this exam ask us here:https://www.ixambee.com/form/rrRTUAo8fl6lPD9N