scholarly journals Farm Size, Technology Adoption and Agricultural Trade Reform: Evidence from Canada

2020 ◽  
Vol 71 (3) ◽  
pp. 676-697
Author(s):  
W. Mark Brown ◽  
Shon M. Ferguson ◽  
Crina Viju‐Miljusevic
1998 ◽  
Vol 47 (3) ◽  
pp. 632-646
Author(s):  
Joseph A. McMahon

We are all aware that agriculture is important to developing countries as a source of income, employment and export earnings. To a far greater extent than in the OECD countries, agriculture it central to the economic performance of developing countries and the livelihood of their inhabitants. Rural societies in developing countries are directly dependent on the agricultural sector and urban dwellers rely on agriculture to provide food security and sustainable economic growth. Furthermore, many developing countries heavily rely on the export earnings or are highly dependent on food imports. Given the fact that the poorest and most threatened communities and countries are typically the most highly dependent, the resolution of pressing global agricultural policy and trade issues is critical to sustainable development and poverty alleviation.


2020 ◽  
Vol 23 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Andre Rozemberg Peixoto Simões ◽  
Charles Frederick Nicholson ◽  
Andrew M. Novakovic ◽  
Roberto Max Protil

Agricultural technology adoption that increases individual firm productivity is generally assumed to improve competitiveness and profitability. However, technology that is adopted by many firms in an industry can shift the basic supply relationship, increasing total production while lowering farm prices. While generally beneficial to consumers, this result can reduce (or completely offset) benefits for farmers, especially late or non-adopters. Our objective is to assess the market dynamics of alternative assumptions about exogenous productivity-enhancing technology adoption by Brazilian dairy farms. Of particular interest is the distributional impact on farm incomes and on the proportion of milk production for different farm size classes. To achieve this objective, we developed an empirical System Dynamics model that evaluates market and farm profitability impacts from 2006 to 2016. We simulated six counterfactual scenarios comprising three rates of adoption (slow, medium and fast) by two farm size categories (small and large). Technology adoption impact differs in the short- and long-term and depending on the assumed rates and farm sizes. Non-adopters of technology can experience lower incomes and a smaller production and income shares when other farms adopt. The underlying causal structure of farm profitability and the herd management decisions suffices to explain the potential market exclusion of non-adopting farms (especially small-scale farms) when others adopt.


2001 ◽  
Vol 15 (2) ◽  
pp. 157-185
Author(s):  
John Gilbert, Robert Scollay, Thoma

Sign in / Sign up

Export Citation Format

Share Document