Search results

The purpose of this paper is to investigate the impacts of social capital on the rate at which agricultural land is rented between landowners and tenants using data from the state of Kansas.

A survey of tenants provides data on the rental rate of farmland as well as characteristics of the lease, the land, and the landowner.

Results support the hypothesis of a negative impact on rental rates from longer-term leasing relationships. The model estimates a 10.0 percent discount relative to market rates when the leasing relationship increases from 11 to 22 years. At the sample average of $64 per acre, this is a $10 per acre discount.

Increased levels of social capital, as measured by the length of the leasing relationship between landowner and tenant, reduce the rental rate. A 10 percent increase in the number of years a parcel of land is leased to the same tenant will decrease the annual rental rate by 1 percent.

Research adds to the understanding of informal relationships underlying farmland leases. A large number of farmland tracts may turnover in the coming years. This turnover may affect the rental rates for tenants who have had long-term leasing relationships over time.

With the decline of US net farm income from $123.8 billion in 2013 to $71.5 billion forecasted for 2016, concern has developed regarding the future path of agricultural land values. The purpose of this paper is to examine the relationship between net farm income, cash rents and land values in the state of Kansas and provides insight regarding future land values.

This study estimates partial adjustment models for cash rent and land values and uses those results to infer long-run capitalization rates and earnings multipliers. These models are used to forecast Kansas land values through 2018 and also the long-run price of farmland given 2016 expectations.

Land adjusts to changes in Kansas net farm income slowly with a one-year elasticity of 6.7 percent. The long-run elasticity is 96.9 percent which is very close to the 100 percent suggested by the theoretical income capitalization model. The long-run multiplier for income in Kansas is 21.71 which implies a capitalization rate of 4.61 percent. The estimated results suggest that Kansas land values would peak in 2016 and begin to slowly decline. If market conditions were to remain the same, land values would ultimately decrease to $1,171 per acre, a 28 percent decline from current levels.

Declines of the magnitude in estimated land values could negatively affect the financial condition of the sector. Factors such as a change in the long-run capitalization rate or unexpected supply or demand shocks for agricultural commodities globally could certainly alter the long-term prospects. However, current expectations as of March 2016 suggest that farmers will face difficult conditions over the next few years.

The purpose of this paper is twofold, first: to define the profile of adopters of labor-enhancing technologies (e.g. platforms) identifying factors – such as operations size, mix of fruits grown, apple operation location, principal operators socio-demographics – and second: to estimate the efficiency threshold for platform adoption during apple harvesting to be financially feasible considering future increases in farm labor wages.

The authors conducted a mixed-mode survey in January-February 2010. Data were analyzed using a bivariate probit model, considering that the decision to adopt platforms was related with the orchard planting system. The authors conducted simulation scenarios to estimate the efficiencies – harvest – platforms must achieve in order to be economically feasible.

In total, 11 percent of the 316 apple operations covered by the survey used platforms. Orchard operations most likely to invest in planar structures are relatively large, produce high-value varieties, use organic systems, and have relatively young and educated operators. Similarly, operations producing high-value fruit such as “Honeycrisp” and controlled or patented varieties and relatively large operations are more likely to invest in platforms. The results of the comparison of the cost of harvesting apples using platforms vs ladders under several production assumptions indicate that platforms must increase labor productivity by at least 13 percent in order to be adopted by the industry.

This study caveat is the lack of inclusion of production and marketing uncertainties in the estimation of future apple harvest costs. Further research to deeper analyze these issues is needed.

The authors present information on the profile of mechanization adopters, so extension educators and engineers could concentrate efforts on them to increase adoption levels. In addition the authors provide a threshold of efficiencies for harvest platforms associated with cost savings compared to manual harvest.

Enabling the adoption of mechanization technologies by specialty crop industries would decrease the dependence on labor, decreasing labor uncertainties and facilitating the production of high quality produce to satisfy the needs of consumers. Second, it will end an era of importing poverty, given that the specialty crop industry has long benefited from seasonal migrant workers. It will improve rural American communities to shorten pools of farm workers, giving them access to permanent jobs with higher salaries.

The contribution of this study is to improve understanding of the degree of mechanization, financial feasibility of current existing technologies, and barriers to greater mechanization by the Washington apple industry. Given the similar labor challenges faced, in general, by the US specialty crop agriculture, results could be applicable to the entire industry.