Tangail District Statistics
Author :
Publisher :
Page : 156 pages
File Size : 15,2 MB
Release : 1983
Category : Tangail District (Bangladesh)
ISBN :
Author :
Publisher :
Page : 156 pages
File Size : 15,2 MB
Release : 1983
Category : Tangail District (Bangladesh)
ISBN :
Author :
Publisher :
Page : 454 pages
File Size : 50,76 MB
Release : 2005
Category : Bangladesh
ISBN :
Author : East Pakistan (Pakistan) Provincial Statistical Board and Bureau of Commercial and Industrial Intelligence
Publisher :
Page : 504 pages
File Size : 33,42 MB
Release : 1956
Category : Bangladesh
ISBN :
Author :
Publisher :
Page : 454 pages
File Size : 15,70 MB
Release : 1985
Category : Agriculture
ISBN :
Author :
Publisher :
Page : 426 pages
File Size : 49,45 MB
Release : 1947
Category : Bangladesh
ISBN :
Containing statistical data on various subjects for the years ... to ... (wherever available).
Author :
Publisher :
Page : 764 pages
File Size : 45,46 MB
Release : 1987
Category : Bangladesh
ISBN :
Author : East Pakistan (Pakistan). Bureau of Statistics
Publisher :
Page : 346 pages
File Size : 32,74 MB
Release : 1969
Category : Bangladesh
ISBN :
Author :
Publisher :
Page : 248 pages
File Size : 28,69 MB
Release : 1987
Category : Bangladesh
ISBN :
Author : Bangladesh. Parisaṃkhyāna Bibhāga
Publisher :
Page : 176 pages
File Size : 38,38 MB
Release : 1983
Category : Bangladesh
ISBN :
Author : Martin Greeley
Publisher : CRC Press
Page : 370 pages
File Size : 32,91 MB
Release : 2019-09-11
Category : Science
ISBN : 1000307808
This book presents a Bangladesh case study of the farm-level postharvest system. There are two main objectives. First, to use measured estimates of food loss to test (and reject) the conventional assumptions: that postharvest farm-level food losses are large; that they can be prevented cost-effectively by technical change; and that as a consequence, there will be more food consumption by hungry people. Commonly, none of these assumptions are true and the evidence from Bangladesh, plus supporting evidence from elsewhere, is used to show why they are wrong.