Managerial Performance and Income Variability for a Sample of Illinois Cash Grain Producers

Sonka, Steven T.; Hornbaker, Robert H.; Hudson, Michael A.

doi:10.2307/1349281

Cited by 19 publications

(8 citation statements)

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“…Overall, the fit seems to be relatively better for the rented-in land model compared with the rented-out land model. The typical value of McFadden's R 2 lies between 0.20 and 0.40 (Sonka et al, 1989) which is also seen in our results. The implication is that our full models are better than the intercept only models.…”

Section: Determinants Of Participation In the Land Rental Marketsupporting

confidence: 90%

Determinants of agricultural land rental market transactions in Bangladesh

Rahman

2010

Land Use Policy

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a b s t r a c tLand rental market transactions have been the norm in land scarce rural Bangladesh mainly due to the inadequacies of the governmental land distribution system to meet the growing demand for land and to correct imbalances in factor proportions at the farm-level. The present study jointly determines the socioeconomic factors underlying decision to rent-in land and/or rent-out land by the Bangladeshi farmers in the land rental market using a bivariate Tobit model. The model diagnostic reveals that the decisions to rent-in and/or rent-out land is significantly correlated, implying that univariate analysis of such decisions are biased, thereby, justifying the use of a bivariate approach. Results reveal that a number of socio-economic factors affect farmers' participation in the land rental market and work in opposite directions regarding the decision to rent-in or rent-out land. The likelihood of renting-in land is higher for farmers with inadequate cultivable land but with higher levels of livestock and other farm capital asset ownership, and also for those located in areas with developed infrastructure and fertile soils. On the other hand, the likelihood of renting-out land is higher among farmers with higher levels of cultivable land but inadequate farm capital and livestock resources, higher levels of education, less subsistence pressure, and poor extension contact. Geography does matter, as the likelihood of land transactions is higher in agriculturally intensive and/or developed regions. Government policy has an important role to play to improve the factor equalisation role of these land rental markets through, for example, investment in education, agricultural extension, rural infrastructure and the livestock sector.

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Section: Determinants Of Participation In the Land Rental Marketsupporting

confidence: 90%

Determinants of agricultural land rental market transactions in Bangladesh

Rahman

2010

Land Use Policy

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“…The elasticity estimates indicate that the price of energy has a major positive impact on the probability of adopting a co-generator; the probability of adopting where log L 0 is the value of log-likelihood function subject to the constraint that all regression coefficients except the constant term are zero, and log L(b) is the maximum value of the log-likelihood function without constraints (Veall and Zimmerman, 1996). McFadden R 2 in the range of 0.2-0.4 are typical for logit models (Sonka et al, 1989).…”

Section: Resultsmentioning

confidence: 95%

Energy‐saving Technology Choices by Dutch Glasshouse Firms

Pietola

2006

J Agricultural Economics

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This paper estimates a sequence of energy-saving technology choices by Dutch glasshouse firms. The model allows for time-constant, firm-specific effects and serial correlation of errors and it is estimated on panel data over the period 1991-1995. The unobserved error sequences are simulated in the model in such a way that they are consistent with the observed choices. The results suggest that positive revenue shocks encourage adoption of new technologies. The choices also exhibit firm-specific persistency over time. An increase of the price of energy encourages the adoption of a highly efficient energy-saving technology. The probability of investing in energy-saving technologies also decreases with capital invested in structures (e.g. double glazing of glasshouses) and increases with capital in energy installations. Copyright 2006 Blackwell Publishing Ltd.

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“…The values of McFadden's R^ are 0-16 and 0-34 for Models I and II, respectively. These are typical for logit models (Sonka, Hornbaker & Hudson 1989;Harper et al 1990), The second measure shows the predictive power of the models defined by the proportion of correctly predicted outcomes. The logit regression correctly predicted almost 71% of the cases in Model 1 and 81% in Model II, Influences of the explanatory variables on the probability of outcomes in both the models Table 5 in terms of coefficients and f-values.…”

Section: Resultsmentioning

confidence: 99%

Factors affecting outbreaks of epizootic ulcerative syndrome in farmed fish in Bangladesh*

Ahmed¹,

Rab

1995

Journal of Fish Diseases

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Abstract. Among 257 Bangladesh fish ponds investigated, 46% were affected by epizootic ulcerative syndrome (EUS) either fully or partially. Thai silver barb, Puntius gonionotus (Bleeker), culture ponds were worst affected (64%) by EUS, while all Nile tilapia, Oreochromis niloticus (L.), monoculture ponds remained unaffected. Stocking of silver barb for culture, use of piscicides as means of moving predators or unwanted species prior to stocking of cultured species, and culture of fish in previously derelict ponds are factors which significantly affected the probability of occurrence of EUS. Choice of species other than silver barb and use of lime during the post‐stocking period significantly affected the probability of pond stocks being less adversely affected by EUS.

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Managerial Performance and Income Variability for a Sample of Illinois Cash Grain Producers

Cited by 19 publications

References 0 publications

Determinants of agricultural land rental market transactions in Bangladesh

Determinants of agricultural land rental market transactions in Bangladesh

Energy‐saving Technology Choices by Dutch Glasshouse Firms

Factors affecting outbreaks of epizootic ulcerative syndrome in farmed fish in Bangladesh*

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