EconPapers    
Economics at your fingertips  
 

Smart Rice Farming, Managerial Model and Empirical Analysis

Dongpo Li (), Teruaki Nanseki () and Yosuke Chomei ()
Additional contact information
Dongpo Li: Hunan University of Technology and Business
Teruaki Nanseki: Kyushu University
Yosuke Chomei: Kyushu University

A chapter in Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan, 2021, pp 1-25 from Springer

Abstract: Abstract This chapter reviewed the connotations and research approaches of smart agriculture and agricultural production efficiency, summarized the composition of a smart rice production model, “Noshonnavi1000.” The adoption of this smart rice farming model was in accordance with the GAPGAP (good agricultural practice) objectives, and it was used to collect data from large-scale rice farms and support empirical analyses of production efficiency determinants through models reflecting the main streams of production efficiency analysis: path analysisPath analysis explored the determinants from the perspective of marginal effect, while data envelopment analysisDEA (data envelopment analysis) decomposed production efficiency into technical and scale efficiency. This chapter summarized the constitution of the research consortium of the series projects and organization of the following chapters, thus provided the general scenario of this book.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-6256-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9789813362567

DOI: 10.1007/978-981-33-6256-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-981-33-6256-7_1