Operational Values of Information Technology and Green Initiatives: The Stochastic Production Frontier Approach

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Zhuang Qian ◽  
Xinyuan Tao ◽  
Chieh Lee ◽  
Chia Ching Chou ◽  
Winston Lin
2021 ◽  
pp. 097300522199758
Author(s):  
Raju Mandal ◽  
Shrabanti Maity

The agriculture sector in India is beset with twin limitations of shrinking cultivable area and absence of major technological breakthroughs in the recent past. In such a situation, a judicious management of the farm in the form of adjustment in a crop portfolio can be quite useful to maximise output and minimise wastage of resources. This article seeks to examine whether a diversified crop portfolio makes the farmers more efficient using farm-level survey data collected from geographically diverse areas of Assam, a state in northeast India. The results of a stochastic production frontier analysis show that adoption of a diversified crop portfolio across crops and seasons makes the farmers more efficient in cultivation by helping them reduce weather-induced damages to crops and reap better returns from farming. This efficiency-enhancing effect of crop diversification is found to be heterogeneous among the regions. However, too much diversification reduces the efficiency of farmers. The results have important implications for Assam where floods cause extensive damage to crops every year. Moreover, access to extension services and government support are found to make the farmers more efficient. On the other hand, fixed-rent form of tenancy reduces efficiency of the farmers while household size has a positive impact on the same.


Author(s):  
Richard F. Nehring ◽  
Jeffrey Gillespie ◽  
Catherine Greene ◽  
Jonathan Law

Abstract United States certified organic and conventional dairy farms are compared on the basis of economic, financial, and technological measures using dairy data from the 2016 USDA Agricultural Resource Management Survey. A stochastic production frontier model using an input distance function framework is estimated for U.S. dairy farms to examine technical efficiency and returns to scale (RTS) of farms of both systems and by multiple size categories. Financial and economic measures such as net return on assets and input costs, as well as technological adoption measures are compared by system and size. For both systems, size is the major determinant of competitiveness based on selected measures of productivity and RTS.


2001 ◽  
Vol 33 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Vangelis Tzouvelekas ◽  
Christos J. Pantzios ◽  
Christos Fotopoulos

AbstractUsing recent advances in the stochastic production frontier framework, this paper presents an empirical analysis of technical, allocative and economic efficiency of a sample of organic and conventional cotton farms located in Greece. The results suggest that both farm types in the sample examined are technically, allocatively and economically inefficient. Farmer's age and education and farm size are important factors in explaining differentials in efficiency estimates. In comparative terms, organic farms exhibit lower efficiency scores vis-à-vis their conventional counterparts in terms of technical and economic efficiency; regarding allocative efficiency both farm types are almost equally inefficient. Low efficiency scores in both types of farming may be attributed to the respective intervention policies of the last 20 years.


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