Special Issue "Productivity, Efficiency, and Sustainability in Agriculture"

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Economics, Policies and Rural Management".

Deadline for manuscript submissions: 31 May 2020.

Special Issue Editor

Prof. Sanzidur Rahman
E-Mail Website1 Website2
Guest Editor
Development Consultant (Freelance), Newton Abbot, Devon, England, UK
Interests: agricultural economics; productivity and efficiency; technological progress in agriculture; sustainable agriculture; sustainable livelihoods; poverty and nutrition; international development
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Improving productivity and efficiency in agriculture is a priority concern for governments, policy makers, nongovernment organisations, relevant stakeholders and farming communities worldwide in order to meet the ever-increasing demand for food from a closing land frontier and degrading land base. Concern is also centred on sustaining agriculture to ensure future growth and supply of food. These concerns are particularly high for countries grappling with a low level of technical progress, subsistence farming, adverse production environment and changing climate.

This Special Issue is aimed at soliciting original contributions from academics, researchers, practitioners, NGOs and other stakeholders providing theoretical insights and/or empirical analysis focusing on productivity, efficiency and economic sustainability of agriculture. The editor encourages submissions with applications of innovative and/or novel methodologies ranging from parametric, semi-parametric and non-parametric approaches to address the theme of the Special Issue. The scope of submission includes original research and review articles on the theme.

Prof. 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. Agriculture 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 1000 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

  • Total factor productivity
  • Technological progress
  • Efficiency changes
  • Productivity and efficiency
  • Determinants of productivity and efficiency
  • Economic sustainability of agriculture
  • Panel-data
  • Time-series data
  • Cross-sectional data

Published Papers (1 paper)

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Research

Open AccessArticle
Boundary-Spanning Search for Knowledge, Knowledge Reconstruction and the Sustainable Innovation Ability of Agricultural Enterprises: A Chinese Perspective
Agriculture 2020, 10(2), 39; https://doi.org/10.3390/agriculture10020039 - 09 Feb 2020
Abstract
Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge [...] Read more.
Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge and the sustainable innovation ability of agricultural enterprises considering the influence of organizational knowledge reconstruction, from a Chinese perspective. A questionnaire survey on agricultural enterprises mainly from Southeast China is conducted, and the hierarchical regression analysis method is utilized to verify five research hypotheses. The results mainly show that (1) boundary-spanning search for technology knowledge (BSSTK) and boundary-spanning search for market knowledge (BSSMK) both have a significant positive impact on the sustainable innovation ability of an agricultural enterprise; (2) organizational knowledge reconstruction plays a partial intermediary role between boundary-spanning search for knowledge (including BSSTK and BSSMK) and the sustainable innovation ability of an agricultural enterprise. From the perspective of boundary-spanning search for knowledge, this paper provides theoretical support for the promotion of sustainable innovation of an agricultural enterprise, which contributes to improving the economic sustainability of agriculture to some extent. Full article
(This article belongs to the Special Issue Productivity, Efficiency, and Sustainability in Agriculture)
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