Demand and Targeting of Kisan Credit Card Scheme in India

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Manoj K. Pandey
Keyword(s):  
Economic Growth ◽  
Land Reform ◽  
Credit Card ◽  
Agricultural Credit ◽  
Agricultural Growth ◽  
Rural Infrastructure ◽  
Household Level ◽  
Level Data ◽  
Advocacy Campaigns ◽  
Targeting Accuracy

While overall economic growth in India has seen an accelerating pace in recent times, a slow agricultural growth has been recorded. Based on household level data from India Human Development Survey 2005 (IHDS), this paper provides systematic evidence on the demand for Kisan (Farmer) Credit Card Scheme (KCCS)-a scheme launched by government of India in 1998-99 to facilitate agricultural credit to farmers. Further, the paper attempts to examine the targeting accuracy of the scheme and model participation of rural households in KCCS. Based on our analysis, the paper recommends that better household targeting and implementation of land reform policies, investment in advocacy campaigns, periodic information drives, improvement in rural infrastructure and better monitoring are some of the major policy imperatives.

Economic Impact of Crop Diversification in North-East India: Evidence from Household-level Survey

2021 ◽  
Vol 57 (4) ◽  
pp. 104-109
Author(s):  
Laishram Priscilla ◽  
Priyajoy Kar ◽  
Oinam Krishnadas ◽  
Laitonjam Nivetina ◽  
Ph Romen Sharma
Keyword(s):  
Economic Impact ◽  
Crop Diversification ◽  
Agricultural Growth ◽  
Household Level ◽  
North East India ◽  
North East ◽  
The North ◽  
Logit Estimation ◽  
Level Data ◽  
Working Age

The study used a large farm household level data to assess the economic impact of crop diversification and also identifies the factors influencing the extent of diversification in the north east region of India. The crop sector was found to be skewed towards specialization. The result of instrumental variable technique showed that crop diversification has a positively significant impact on the income among the households. Further, fractional logit estimation found that variables like family members in the working age group, landholding size, crop loss experience, extension contact, participation in training positively affected diversification. Irrigated area, access to institutional credit, etc negatively affected the same. Diversification towards high value crops may accelerate the agricultural growth of the region and improve the wellbeing of the farmers. Measures for improvement of basic infrastructural facilities and extension services for improving backward and forward linkages are required.

scholarly journals Evaluating the Kisan Credit Card Scheme: Some Results for Bihar and India

2019 ◽  
Vol 19 (1) ◽  
pp. 68-107
Author(s):  
Areendam Chanda
Keyword(s):  
Credit Card ◽  
Agricultural Sector ◽  
Agricultural Productivity ◽  
District Level ◽  
Short Term ◽  
Agricultural Credit ◽  
Agricultural Growth ◽  
Growth Accelerations ◽  
The Government ◽  
Using Data

The Kisan Credit Card (KCC) scheme was introduced in India in 1998–1999 and has since become a flagship programme providing access to short-term credit in the agricultural sector. According to the Government of India, over a 100 million cards had been issued cumulatively by March 2011. Using data from 2005–2006 to 2009–2010, the article critically examines the determinants of KCC lending across states in India and districts in Bihar. We also examine the effects of the scheme on agricultural growth and yields. Our results suggest that states with initially better access to agricultural credit show subsequently greater amounts of KCC lending. However, Bihar and other BIMARU states also show faster adoption rates that cannot be explained by their recent growth accelerations. Within Bihar, we see that districts with initially greater lending in KCC continue to pull further away from other districts, while in terms of account holders there is evidence of convergence. Finally, we do not see any evidence of KCC lending on state- or district-level agricultural productivity. JEL: Q14, Q0, O41, O47

Credit card debt and consumption: evidence from household-level data

2010 ◽  
Vol 42 (4) ◽  
pp. 455-462 ◽  
Author(s):  
Tufan Ekici ◽  
Lucia Dunn
Keyword(s):  
Credit Card ◽  
Credit Card Debt ◽  
Household Level ◽  
Level Data

Hasty Pudding Versus Tasty Bread: Regional Variations in Diet and Nutrition during the Industrial Revolution

2012 ◽  
pp. 9-30 ◽  
Author(s):  
Sara Horrell ◽  
Deborah Oxley
Keyword(s):  
Dairy Products ◽  
Industrial Revolution ◽  
Local Economy ◽  
Household Level ◽  
Level Data ◽  
Other Information ◽  
Level Information ◽  
Local Supply ◽  
Key Aspects ◽  
Nutritional Score

Using parish-level information from Sir F.M. Eden's The state of the poor (1797) we can identify typical diets for the counties of England. These diets varied considerably and afforded very different standards of nutrition. We compute a nutritional score for this diet, paying attention to the presence of vitamins, minerals and micronutrients shown to be essential for health and growth in constructing this measure. Other information in the reports allows us to relate county-level nutrition to factors in the local economy. In particular we find nutrition was positively related to the availability of common land in the area and to women's remunerated work if conducted from home. Lack of common land and little local supply of dairy products also pushed households into buying white wheaten bread rather than baking their own wholemeal loaf. Replicating some of this analysis with household-level data confirms these results. Diet also maps onto stature: male convicts to Australia were significantly taller if they originated in a county with a more nutritious diet. This verifies the important impact of nutrition on stature and demonstrates the sensitivity of height as a measure of key aspects of welfare.

Macroprudential Policy and Household Leverage: Evidence from Administrative Household-Level Data

2018 ◽  
Author(s):  
Sjoerd van Bekkum ◽  
Marc Gabarro ◽  
Rustom M. Irani ◽  
Jose-Luis Peydro
Keyword(s):  
Macroprudential Policy ◽  
Household Level ◽  
Level Data

Growth and Performance of Agriculture Sector in India

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Naresh Singla ◽  
Mamandeep Kaur
Keyword(s):  
Growth Rate ◽  
Capital Formation ◽  
The Other ◽  
Agricultural Credit ◽  
Agricultural Growth ◽  
Indian Economy ◽  
Agriculture Sector ◽  
Food Grain ◽  
And Performance ◽  
Agricultural Labourers

The growth of agriculture and allied sectors is critical for the Indian economy as about 49 percent of the population is directly or indirectly dependent on agriculture. During the last decade and so, the agriculture sector has undergone profound changes resulting in sharp deceleration in its growth. The study has attempted to analyze growth and performance of the agriculture sector in India since 1980-81 and tries to comprehend some of the factors responsible for the deceleration in growth. The study has shown that agriculture sector has been able to show tremendous improvement in expansion of area and production of food grain and non-food grain crops. However, there are so many underlying factors responsible for slowdown of the agricultural growth. Some of the factors identified include: Increase in area under non-agriculture uses, excessive dependence on rain fed farming, increase in number of agricultural labourers, reducing size of the operation holdings, over use of agri-inputs, inequity in the distribution of agriculture credit along with sharp deceleration in public gross capital formation in agriculture etc. The study pointed in order to achieve higher growth rate, there is a need to enhance the gross capital formation in agriculture sector particularly on irrigation so that more area can be brought under assured irrigation. Bringing equity in distribution of agricultural credit coupled with judicious and need-based agricultural inputs are some of the other recommendations drawn based upon the study.

Middle and Below Living Standards: What Can We Learn from Beyond Income Measures of Economic Well-being?

2018 ◽  
Author(s):  
Marii Paskov ◽  
Joan E. Madia ◽  
Tim Goedemé
Keyword(s):  
Well Being ◽  
Material Deprivation ◽  
Living Standards ◽  
Household Level ◽  
The Great Recession ◽  
Level Data ◽  
Working Age ◽  
Household Incomes ◽  
The Relationship ◽  
Economic Well Being

This chapter complements the income-based measures of living standards on which earlier chapters have focused by incorporating non-income dimensions of economic well-being into its analysis, including indicators of material deprivation, economic burdens, and financial stress. It analyses how working-age households around and below the middle of the income distribution fared in European countries in the years before, during, and after the Great Recession. Harmonized household-level data across the members of the EU are analysed to see whether the evolution of these various non-income measures present a similar or different picture to household incomes over time. To probe what lies behind the patterns this reveals, four quite different countries are then examined in greater depth. Finally, the chapter also explores the relationship between material deprivation for households around and below the middle and overall income inequality.

scholarly journals The Effect of Social Behavior on Residential Water Consumption

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1184
Author(s):  
Daniel Morales Martínez ◽  
Alexandre Gori Maia
Keyword(s):  
Water Consumption ◽  
Spatial Dependence ◽  
Regression Models ◽  
Innovative Strategy ◽  
Peer Effect ◽  
Household Level ◽  
Level Data ◽  
Household Water ◽  
Residential Water Consumption ◽  
Residential Water

We analyze how residential water consumption is influenced by the consumption of households belonging to the same social group (peer effect). Analyses are based on household-level data provided by the Brazilian Household Budget Survey and use an innovative strategy that estimates the spatial dependence of water consumption while simultaneously controlling for potential sources of sample selectivity and endogeneity. The estimates of our quantile regression models highlight that, conditional on household characteristics, the greater the household water consumption, the greater the peer effect. In other words, the overconsumption of residential water seems to be influenced mainly by the behavior of social peers.

scholarly journals Meat Demand Monitor during COVID-19

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1040
Author(s):  
Glynn Tonsor ◽  
Jayson Lusk ◽  
Shauna Tonsor
Keyword(s):  
Meat Products ◽  
Secondary Data ◽  
Household Level ◽  
Meat Demand ◽  
Pork Products ◽  
Food Expenditures ◽  
Hoarding Behavior ◽  
Level Data ◽  
The Us ◽  
Demand Changes

Meat products represent a significant share of US consumer food expenditures. The COVID-19 pandemic directly impacted both demand and supply of US beef and pork products for a prolonged period, resulting in a myriad of economic impacts. The complex disruptions create significant challenges in isolating and inferring consumer-demand changes from lagged secondary data. Thus, we turn to novel household-level data from a continuous consumer tracking survey, the Meat Demand Monitor, launched in February 2020, just before the US pandemic. We find diverse impacts across US households related to “hoarding” behavior and financial confidence over the course of the pandemic. Combined, these insights extend our understanding of pandemic impacts on US consumers and provide a timely example of knowledge enabled by ongoing and targeted household-level data collection and analysis.

scholarly journals Harnessing Agricultural Potentials for Economic Growth in North Carolina

2013 ◽  
Vol 2 (2) ◽  
pp. 142 ◽  
Author(s):  
Janaranjana Herath ◽  
David Hill
Keyword(s):  
Economic Growth ◽  
North Carolina ◽  
Work Force ◽  
Census Bureau ◽  
Agricultural Activities ◽  
Income Levels ◽  
Rural Counties ◽  
Level Data ◽  
Education And Employment ◽  
Bureau Of Labor Statistics

Agriculture in North Carolina contributes to 19 percent of the state’s income and employs over 20 percent of the work force. Agricultural activities are significant in rural counties and nearly 30 percent of the total population of North Carolina lives in 85 rural counties. Individuals in these rural counties have less income, education, and employment opportunities eventually in high poverty and unemployment rates. The objective of this study is to examine the potential use of agriculture in economic growth of North Carolina using county level data. Data were gathered from U.S. Bureau of Labor Statistics, U.S. Department of Agriculture, and U.S. Census Bureau for the period of 2000 to 2010. A system of simultaneous equations is used for the analysis. Results highlight that increasing income increases agricultural activities and vise versa. Thus, the counties with high household income levels are more capable of incorporating agriculture in economic growth while the counties with significant agricultural activities are more competent of improving income levels. Overall, results conclude the importance of secured satisfactory level of income through agriculture to enhance economic growth.

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