Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data

B Crost; B Shankar; R Bennett; S Morse

doi:10.1111/j.1477-9552.2007.00076.x

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Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data

Journal article

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Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data

B Crost, B Shankar, R Bennett and S Morse

JOURNAL OF AGRICULTURAL ECONOMICS, Vol.58(1), pp.24-36

01/02/2007

DOI: https://doi.org/10.1111/j.1477-9552.2007.00076.x

Abstract

Science & Technology

Social Sciences

Life Sciences & Biomedicine

Agricultural Economics & Policy

Economics

Agriculture

Business & Economics

AGRICULTURAL ECONOMICS & POLICY

ECONOMICS

biotechnology

development economics

genetic modification

productivity analysis

BT COTTON

INSTRUMENTAL VARIABLES

ECONOMIC-PERFORMANCE

ADOPTION

TECHNOLOGIES

IMPACT

CHINA

RICE

RISK

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Title: Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data
Creators: B Crost
B Shankar
R Bennett
S Morse
Publication Details: JOURNAL OF AGRICULTURAL ECONOMICS, Vol.58(1), pp.24-36
Publisher: BLACKWELL PUBLISHING
Date published: 01/02/2007
Date submitted: 17/05/2017
Identifiers: 99515578402346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data

Abstract

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