Gender, Small Firm Ownership and Credit Constraints

2020 ◽  
pp. 109-147
Author(s):  
Rajesh S.N. Raj ◽  
Subash Sasidharan
Keyword(s):  
Small Firm ◽  
Credit Constraints ◽  
Firm Ownership

Small Firm Ownership and Credit Constraints in India

2020 ◽  
Author(s):  
Rajesh S.N. Raj ◽  
Subash Sasidharan
Keyword(s):  
Small Firm ◽  
Credit Constraints ◽  
Firm Ownership

Family background and gender: implications for interest in small firm ownership

1995 ◽  
Vol 7 (4) ◽  
pp. 365-378 ◽  
Author(s):  
Charles H. Mathews ◽  
Steven B. Moser
Keyword(s):  
Small Firm ◽  
Family Background ◽  
Firm Ownership ◽  
And Gender

Credit constraints, firm ownership and the structure of exports in China

2014 ◽  
Vol 139 ◽  
pp. 152-173 ◽  
Author(s):  
Joachim Jarreau ◽  
Sandra Poncet
Keyword(s):  
Credit Constraints ◽  
Firm Ownership

scholarly journals Gender, small firm ownership, and credit access: some insights from India

2018 ◽  
Vol 54 (4) ◽  
pp. 1165-1181 ◽  
Author(s):  
Kausik Chaudhuri ◽  
Subash Sasidharan ◽  
Rajesh Seethamma Natarajan Raj
Keyword(s):  
Small Firm ◽  
Credit Access ◽  
Firm Ownership

Costs and costing for the small firm

1952 ◽  
Vol 31 (11) ◽  
pp. 547
Author(s):  
R.W. Mann
Keyword(s):  
Small Firm

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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