Rural market imperfections and the farm size— productivity relationship: Evidence from Pakistan

1998 ◽  
Vol 26 (10) ◽  
pp. 1807-1826 ◽  
Author(s):  
Rasmus Heltberg
2018 ◽  
Vol 94 (2) ◽  
pp. 239-258 ◽  
Author(s):  
Klaus Deininger ◽  
Songqing Jin ◽  
Yanyan Liu ◽  
Sudhir K. Singh

1981 ◽  
Vol 20 (4) ◽  
pp. 453-464 ◽  
Author(s):  
F. S. Bagi

Salam [I8] raised a number of questions about my paper, and these can be briefly summarized here. (1) Inadequate description of sample. (2) Treatment of irrigated and unirrigated parts of a farm under same management as separate subfarms is questionable. (3) What prices have been used for farm products and byproducts consumed on the farm. (4) Many heterogeneous inputs have been aggregated together. (5) How the production expenditure presented in Table 3 has been estimated, and what wage rates have been used in these calculations' (6) Data presented in Table 2 and its interpretation are confusing and misleading. (7) The explanation provided for the relatively lower use of purchased inputs on share cropping farms (Table 5) is incorrect. (8) The estimation and discussion of returns to scale is redundant. (9) Some of the explanatory variables e.g. cropping intensity, number of fragments per farm, and managerial ability have been omitted from the model. (10) Operational size of farm is not an appropriate explanatory variable. (II) The effect of farm size on relative economic efficiency has been overlooked. (I2) Aggregation of gross value of output for multicrop farms is likely to bias the results in an unknown direction, because crop composition may not be uniform across farms, and (I3) Measurement of inputs in value terms are affected by prevailing market imperfections.


Author(s):  
D.I. Gray ◽  
J.I. Reid ◽  
D.J. Horne

A group of 24 Hawke's Bay hill country farmers are working with service providers to improve the resilience of their farming systems. An important step in the process was to undertake an inventory of their risk management strategies. Farmers were interviewed about their farming systems and risk management strategies and the data was analysed using descriptive statistics. There was considerable variation in the strategies adopted by the farmers to cope with a dryland environment. Importantly, these strategies had to cope with three types of drought and also upside risk (better than expected conditions), and so flexibility was critical. Infra-structure was important in managing a dryland environment. Farmers chose between increased scale (increasing farm size) and geographic dispersion (owning a second property in another location) through to intensification (investing in subdivision, drainage, capital fertiliser, new pasture species). The study identified that there may be scope for further investment in infra-structural elements such as drainage, deeper rooting alternative pasture species and water harvesting, along with improved management of subterranean clover to improve flexibility. Many of the farmers used forage crops and idling capacity (reduced stocking rate) to improve flexibility; others argued that maintaining pasture quality and managing upside risk was a better strategy in a dryland environment. Supplementary feed was an important strategy for some farmers, but its use was limited by contour and machinery constraints. A surprisingly large proportion of farmers run breeding cows, a policy that is much less flexible than trading stock. However, several farmers had improved their flexibility by running a high proportion of trading cattle and buffer mobs of ewe hoggets and trade lambs. To manage market risk, the majority of farmers are selling a large proportion of their lambs prime. Similarly, cattle are either sold prime or store onto the grass market when prices are at a premium. However, market risk associated with the purchase of supplements and grazing was poorly managed.


2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.


2012 ◽  
Vol 3 (3) ◽  
pp. 72-73
Author(s):  
Prof. J.K.Vasavada Prof. J.K.Vasavada ◽  
Keyword(s):  

2012 ◽  
Vol 2 (11) ◽  
pp. 331-332
Author(s):  
Ashish Kumar Ashish Kumar ◽  
Keyword(s):  

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