Productivity Growth in Agriculture: An International Perspective 2012
DOI: 10.1079/9781845939212.0181
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Structural transformation and agricultural productivity in India.

Abstract: This chapter analyses the structural transformation of the Indian economy and its agriculture between 1961 and 2009. Although the agricultural share of gross domestic product (GDP) fell dramatically between the early 1960s and late 2000s, it remained the main employment sector throughout the period. This lack of convergence in the agricultural GDP and labour force shares of the economy is mirrored in the widening and accelerating divergence in average labour productivity between agricultural and non-agricultur… Show more

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Cited by 12 publications
(29 citation statements)
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“…In the Recovery period, these two growth sources accounted for 60% of output growth. Diversification is thus also an important growth source, as argued by Singh and Pal (2010) and Binswanger-Mkhize and d'Souza (2012). Product diversification has been shown to improve small-farm incomes (Birthal et al, 2008); although its commercialization may worsen India's cross-region income disparities.…”
Section: Evaluating Sources Of Crop Growthmentioning
confidence: 99%
See 1 more Smart Citation
“…In the Recovery period, these two growth sources accounted for 60% of output growth. Diversification is thus also an important growth source, as argued by Singh and Pal (2010) and Binswanger-Mkhize and d'Souza (2012). Product diversification has been shown to improve small-farm incomes (Birthal et al, 2008); although its commercialization may worsen India's cross-region income disparities.…”
Section: Evaluating Sources Of Crop Growthmentioning
confidence: 99%
“…Recent acceleration of Indian agricultural growth has widely been regarded as an outcome of private capital formation, improved agricultural trade terms, and subsidies for credit, fertilizer, and seed (Chand and Parappurathu, ). Others say it has been a by‐product of output diversification into horticulture and livestock products, itself a response to the demands of newly wealthy Indian households (Binswanger‐Mkhize and d'Souza, ; Singh and Pal, ). Our purpose is to show that while both views have merit, they provide an incomplete picture of India's growth renewal.…”
Section: Introductionmentioning
confidence: 99%
“…traditional area of the village occupied by a caste) are changing (Datta and Rustagi 2012). As a result of male out-migration in poor and low caste households of Bihar, women’s involvement in the agricultural workforce is even greater as women have become the de facto head of the households (Rao 2006; Binswanger-Mkhizer and D’Souza 2012). …”
Section: Case Studiesmentioning
confidence: 99%
“…Rural consumption depends on income from agriculture as well as from rural non-farm activities, which are related to agricultural GDP. Thus overall rural consumption is related to agricultural GDP, while urban consumption is related to non-agricultural GDP, using statistically estimated relationships consistent with the observed trend (Binswanger, Hans and d'Souza, 2012).…”
mentioning
confidence: 73%
“…Rural consumption depends on income from agriculture as well as from rural non-farm activities, which are related to agricultural GDP. Thus overall rural consumption is related to agricultural GDP, while urban consumption is related to non-agricultural GDP, using statistically estimated relationships consistent with the observed trend (Binswanger, Hans and d'Souza, 2012).Total population is distributed between urban and rural populations based on exogenously stipulated urban/rural consumption parity ratio that declines from 2.35 as reflected in the SAM of 2003-2004 to 1.75 by 2039 as reflected in the National Sample Survey (NSS) data.A particularly important feature of the model is a demand system that can predict the consumption behaviour of income classes at much higher income levels at which income elasticities of demand for food will be much lower than today. We were able to estimate a flexible trans-log demand system that allows for declining income elasticities that do not fall below zero-without having to make ad hoc assumptions about consumer behaviour at very high income levels using the data from the NSS and Central Statistical Organization (CSO) and adjusting for their differences.…”
mentioning
confidence: 81%