Economic impact assessment of conservation agriculture on small and marginal farm households in eastern India

Chatterjee, Snigdhansu; Chakraborty, Riya; Banerjee, Hirak

doi:10.5958/0974-0279.2020.00024.5

Cited by 3 publications

(5 citation statements)

References 30 publications

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“…Increased use of FYM and machine labor accentuated the productivity among adopters by 11.5 and 3.68%, respectively. This finding is in congruence with the earlier studies (Chatterjee et al., 2020; Mondal et al., 2012), where the contribution of complementary inputs was found to be positive.…”

Section: Resultssupporting

confidence: 93%

“…The output decomposition model developed by (Bisaliah, 1977) was used in the present study to sort out the contribution of technological interventions and resource use differences from the total productivity difference between the adopter and nonadopter groups. This model has been widely used in various studies (Badal & Singh, 2001; Chatterjee et al., 2020; Ketema & Kassa, 2016; Shiyani, 1996). After subtracting Equation from Equation and making slight algebraic rearrangements, the decomposition model can be written as

\begin{matrix} Ln (\frac{Y_{normala}}{Y_{na}}) & = & [Ln (\frac{{normalα}_{0}}{{normalβ}_{0}})] badbreak+ false[Ln S_{na} false(α_{1} goodbreak- β_{1} false) \\ + Ln B_{na} false(α_{2} goodbreak- β_{2} false) + Ln M_{na} false(α_{3} goodbreak- β_{3} false) \\ + Ln H_{na} false(α_{4} goodbreak- β_{4} false) + Ln F_{na} false(α_{5} goodbreak- β_{5} false) \\ + LnA {normalc}_{na} false(α_{6} goodbreak- β_{6} false) + LnFY {normalM}_{na} false(α_{7} goodbreak- β_{7} false) false] \\ + [α_{1} Ln ((), \frac{S_{a}}{S_{na}}) + α_{2} Ln ((), \frac{B_{a}}{B_{na}}) \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

“…The output decomposition model developed by (Bisaliah, 1977) was used in the present study to sort out the contribution of technological interventions and resource use differences from the total productivity difference between the adopter and nonadopter groups. This model has been widely used in various studies (Badal & Singh, 2001;Chatterjee et al, 2020;Ketema & Kassa, 2016;Shiyani, 1996). After subtracting Equation 3 from Equation 4and making slight algebraic rearrangements, the decomposition model can be written as…”

Section: Decomposition Model For Assessing the Technology Contributionmentioning

confidence: 99%

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Economic impression of on‐farm research for sustainable crop production, milk yield, and livelihood options in semi‐arid regions of central India

et al. 2022

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Farming system research (FSR) is on-farm research that brings cutting-edge agricultural technologies to growers to enhance farm production, family income, and livelihood status. In 2007, an on-farm study was started on FSR in central India, and the effect was assessed after 5 yr (2012-2013) of implementation by comparing adopters and nonadopters of FSR-based promoted technologies. Further, in 2018-2019, the status of adoption of introduced technologies was also assessed. The study revealed that improved practices such as pre-sowing irrigation, high-yielding varieties, and crop protection measures collectively improved the system productivity of the adopters by 28%; the improved productivity was mainly due to increased yield of blackgram (Vigna mungo L., 157%), groundnut (Arachis hypogaea L., 34%), and wheat (Triticum aestivum L., 12%). Adoption of ration balancing and healthcare practices promoted under the FSR project accentuated the milk yield of farm animals (200 L yr -1 cattle -1 ) of adopters. The farm diversification and sustainable production practices under the FSR-based interventions increased family income of adopters by 35% (US$1,517.7 yr -1 ) and employment by 42%. Adopter households averaged a 33.76% higher return per unit of investment than nonadopters. The estimated change is primarily due to the non-neutral technological change. The findings of the study Abbreviations: FSR, farming system research; FYM, farmyard manure; VIF, variance inflation factor.

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Section: Resultssupporting

confidence: 93%

\begin{matrix} Ln (\frac{Y_{normala}}{Y_{na}}) & = & [Ln (\frac{{normalα}_{0}}{{normalβ}_{0}})] badbreak+ false[Ln S_{na} false(α_{1} goodbreak- β_{1} false) \\ + Ln B_{na} false(α_{2} goodbreak- β_{2} false) + Ln M_{na} false(α_{3} goodbreak- β_{3} false) \\ + Ln H_{na} false(α_{4} goodbreak- β_{4} false) + Ln F_{na} false(α_{5} goodbreak- β_{5} false) \\ + LnA {normalc}_{na} false(α_{6} goodbreak- β_{6} false) + LnFY {normalM}_{na} false(α_{7} goodbreak- β_{7} false) false] \\ + [α_{1} Ln ((), \frac{S_{a}}{S_{na}}) + α_{2} Ln ((), \frac{B_{a}}{B_{na}}) \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

“…The output decomposition model developed by (Bisaliah, 1977) was used in the present study to sort out the contribution of technological interventions and resource use differences from the total productivity difference between the adopter and nonadopter groups. This model has been widely used in various studies (Badal & Singh, 2001;Chatterjee et al, 2020;Ketema & Kassa, 2016;Shiyani, 1996). After subtracting Equation 3 from Equation 4and making slight algebraic rearrangements, the decomposition model can be written as…”

Section: Decomposition Model For Assessing the Technology Contributionmentioning

confidence: 99%

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Economic impression of on‐farm research for sustainable crop production, milk yield, and livelihood options in semi‐arid regions of central India

et al. 2022

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“…The present study indicates that the impact of watershed interventions was negligible for the time being as the neutral and non-neutral technological change supersede each other and nullify the effect on net income. These results are inconformity with the study conducted by Soumitra Chatterjee et al, (2020).…”

Section: Decomposition Analysis Of Net Income Between Jersy and Desi Householdscontrasting

confidence: 99%

Factors Affecting Incomes of Watershed Dairy Households in Srikakulam District of Andhra Pradesh – Econometric Analysis

Shankar¹,

Naik²,

Rekha³

et al. 2021

Int.J.Curr.Microbiol.App.Sci

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“…The push to the CA-based system is due to its environmental and productivity sustainability and especially its ability to (i) reduce soil degradation, erosion and runoff, (ii) mitigate greenhouse gas emissions and (iii) sequester atmospheric CO 2 in the form of soil organic carbon, tackle climate change, (iv) improve biodiversity below and above the soil surface, and (v) enhance production system resilience to abiotic and biotic stresses [52][53][54][55][56][57]. In fact, CA systems were initially adopted for soil conservation and erosion control benefits, but they are gaining more and more attention as a practice to maintain and/or increase SOC and harness ecosystem services in agroecosystems [58].…”

Section: Environmental Sustainability: Soil Re-carbonization Conserva...mentioning

confidence: 99%

Conservation Agriculture: Climate Proof and Nature Positive Approach

Mrabet¹,

Singh²,

Sharma³

et al. 2023

Resource Management in Agroecosystems

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The development pathways of countries and regions have impacted land-climate interactions and shaped challenges, opportunities and actions. Adverse impacts of climate change increasingly threaten livelihoods and resilience of people around the globe, food security and the stability of environmental resources. Globally, the current food systems are not fit for purpose. Land-based options such as Conservation Agriculture (CA) were found to mitigate climate change, regenerate soils and ensure durable food systems. Achieving sustained results using CA systems, under climate change and social pressures, while maximizing co-benefits related to food and nutrient security, social and biological diversity, ecosystem restoration and services and sustainable development, requires appropriate country-specific policies and significant investment. CA implementation is challenging and context specific and necessitates an integrated framework and road map to enable deeper ambitions for social equity and development and inclusive economic growth.

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Economic impact assessment of conservation agriculture on small and marginal farm households in eastern India

Cited by 3 publications

References 30 publications

Economic impression of on‐farm research for sustainable crop production, milk yield, and livelihood options in semi‐arid regions of central India

Economic impression of on‐farm research for sustainable crop production, milk yield, and livelihood options in semi‐arid regions of central India

Factors Affecting Incomes of Watershed Dairy Households in Srikakulam District of Andhra Pradesh – Econometric Analysis

Conservation Agriculture: Climate Proof and Nature Positive Approach

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