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Special Issue "Economics of Climate Smart Agriculture"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 30 November 2018

Special Issue Editor

Guest Editor
Dr. Sanzidur Rahman

Associate Professor (Reader) in International Development, School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK
Website | E-Mail
Phone: +44-1752-585911
Fax: +44-1752-584710
Interests: agricultural economics; productivity and efficiency; technological progress in agriculture; agriculture and energy interactions; sustainable agriculture; sustainable livelihoods; poverty and nutrition; international development

Special Issue Information

Dear Colleagues,

Climate Smart Agriculture (CSA) is an approach aimed at transforming and reorienting existing agricultural systems to support food security and development in a sustainable manner under a changing climate. CSA refers to agriculture that sustainably increases productivity, enhances adaptation and resilience, reduces GHGs or mitigate where possible, and enhances achievement of national food security and development. CSA helps to address a number of important challenges in developing countries, e.g., food security, malnutrition, poverty and interdependent relationship between climate change and agriculture. Nevertheless, widespread and upscaling of CSA will be possible if the approach is economically and socially viable

This Special Issue aimed at soliciting original contributions from academics, researchers, practitioners, NGOs and other stakeholders providing theoretical insights and/or empirical analysis focusing on economic and social viability of CSA that can provide valuable lessons for the future. The editor encourages submissions applying cross-disciplinary approaches and use of a variety of quantitative, qualitative and mixed methodologies in social sciences. The scope of submission includes original research and review articles that address the issues raised above.

Dr. Sanzidur Rahman
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Climate Smart Agriculture (CSA)
  • CSA technologies
  • Adoption of CSA technologies
  • Economics of CSA
  • Sustainability of CSA
  • CSA and food security
  • CSA and poverty/inequality
  • Gender roles in CSA
  • CSA and the rural economy

Published Papers (2 papers)

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Research

Open AccessFeature PaperArticle Environment-Smart Agriculture and Mapping of Interactions among Environmental Factors at the Farm Level: A Directed Graph Approach
Sustainability 2018, 10(5), 1580; https://doi.org/10.3390/su10051580
Received: 13 March 2018 / Revised: 27 April 2018 / Accepted: 11 May 2018 / Published: 15 May 2018
PDF Full-text (1356 KB) | HTML Full-text | XML Full-text
Abstract
Environment-smart agriculture (ESA) aims at sustaining increased agricultural production while limiting negative impacts on the environment. The present study develops an index of composite on-farm environmental impacts (COEI) as a proxy measure to evaluate ESA and validates the index by mapping interactions amongst
[...] Read more.
Environment-smart agriculture (ESA) aims at sustaining increased agricultural production while limiting negative impacts on the environment. The present study develops an index of composite on-farm environmental impacts (COEI) as a proxy measure to evaluate ESA and validates the index by mapping interactions amongst agriculture related environmental impacts and potential constraints to practice ESA by using the directed graph approach. The cost of mitigation to practice ESA was calculated by estimating the cost of reducing on-farm environmental impacts by using the damage–cost method. The approach was empirically applied to a sample of 317 High Yielding Variety (HYV) rice farms from three intensive rice-growing regions of northwestern Bangladesh. Results showed that the use of chemical pesticides contributed towards higher level of uncertainty in practicing ESA than the use of chemical fertilizers, irrigation and household pollution. The combined effect of the influence from these factor interactions was estimated at 2.3, which falls in the critical region of influence and implies extreme level of uncertainty in practicing ESA. The cost of mitigating negative environmental impacts is higher for the problems of ‘decline in soil fertility’, ‘increases in crop diseases’ and ‘reduction in fish catch’ as compared to other soil and water related impacts. Policy implications include investments in addressing the problems of ‘soil fertility decline’, ‘increases in crop diseases’ and ‘reduction in fish catch’ and raising farmers’ awareness on using farm chemicals to promote ESA practices for HYV rice production. Full article
(This article belongs to the Special Issue Economics of Climate Smart Agriculture)
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Open AccessArticle A Model Approach for Yield-Zone-Specific Cost Estimation of Greenhouse Gas Mitigation by Nitrogen Fertilizer Reduction
Sustainability 2018, 10(3), 710; https://doi.org/10.3390/su10030710
Received: 19 December 2017 / Revised: 2 March 2018 / Accepted: 3 March 2018 / Published: 6 March 2018
PDF Full-text (1456 KB) | HTML Full-text | XML Full-text
Abstract
Nitrogen use in agriculture has been intensified to feed the growing world population, which led to concerns on environmental harms, including greenhouse gas emissions. A reduction in nitrogen fertilization can abate greenhouse gas emissions, however, it may result in crop yield penalties and,
[...] Read more.
Nitrogen use in agriculture has been intensified to feed the growing world population, which led to concerns on environmental harms, including greenhouse gas emissions. A reduction in nitrogen fertilization can abate greenhouse gas emissions, however, it may result in crop yield penalties and, accordingly, income loss. Assessment tools are necessary to understand the dynamics of nitrogen management issues both in environmental and economic aspects and both at low and high aggregation levels. Our study presents a model approach, estimating yield-zone-specific costs of greenhouse gas mitigation by moderate reduction of mineral nitrogen fertilizer application. Comparative advantages of mitigating greenhouse gas emissions by nitrogen fertilizer reduction were simulated for five yield-zones with different soil fertility in the state of Brandenburg, Germany. The results suggest that differences in yield response to nitrogen fertilizer lead to considerable differences in greenhouse gas mitigation costs. Overall cost-efficiency of a regional greenhouse gas mitigation by nitrogen fertilizer reduction can be substantially improved, if crop and yield-zone-specific yield responses are taken into account. The output of this study shall help to design cost-efficient agro-environmental policies targeting with specific crop yield response functions at different sites. Full article
(This article belongs to the Special Issue Economics of Climate Smart Agriculture)
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