Technical efficiency estimates of Cherokee agriculture: A pre- and post-removal analysis

Gregg, Matthew

doi:10.1016/j.socec.2009.03.018

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…Based on the literature (Mekonnen et al , 2015; Gregg, 2009; Obi and Kibirige, 2014; Ray and Ghose, 2014; Toma et al , 2015; Zhu and Lansink, 2010; Kinkingninhoun-Mêdagbé et al , 2010; Quiroga et al , 2014; Ostry et al , 2014; The Economist , 2014), our a priori expectations on the contextual variables are: R&D (+), land quality (+), health expenditure (+), education (+), FDI (+), GDP growth (+), GINI(±) and population growth (±).…”

Section: Methodsmentioning

confidence: 99%

“…For high income countries, the efficiency score is 76.4 percent, upper middle income is 57.7 percent, lower middle income is 64.6 percent and for low income countries is 62.1 percent. Gregg (2009) evaluates the efficiency of Cherokee agriculture using output distance function in the first stage and truncated regression in the second stage. Results show that racial hierarchy was a significant determinant of agricultural efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

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Efficiency in South African agriculture: a two-stage fuzzy approach

Aye

Gupta

2018

BIJ

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Purpose The purpose of this paper is to assess the efficiency of agricultural production in South Africa from 1970 to 2014, using an integrated two-stage fuzzy approach. Design/methodology/approach Fuzzy technique for order preference by similarity to ideal solution is used to assess the relative efficiency of agriculture in South Africa over the course of the years in the first stage. In the second stage, fuzzy regressions based on different rule-based systems are used to predict the impact of socio-economic and demographic variables on agricultural efficiency. They are compared with the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2016a). Findings The results show that the fuzzy efficiency estimates ranged from 0.40 to 0.68 implying inefficiency in South African agriculture. The results further reveal that research and development, land quality, health expenditure–population growth ratio have a significant, positive impact on efficiency levels, besides the GINI index. In terms of accuracy, fuzzy regressions outperformed the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2015). Practical implications Policies to increase social expenditure especially in terms of health and hence productivity should be prioritized. Also policies aimed at conserving the environment and hence the quality of land is needed. Originality/value The paper is original and has not been previously published elsewhere.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Efficiency in South African agriculture: a two-stage fuzzy approach

Aye

Gupta

2018

BIJ

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“…The authors concluded that there was a general consistency between SPF and DEA analyses in regard to the factors affecting TE. Gregg (2009) used two sets of nineteenth century farming information on Cherokee households to estimate Shephard output distance functions and to determine the Cherokee technical efficiency. Controlling for farm size, market orientation, spatial heterogeneity and experience, technical efficiency was between 7% and 9% greater in mixed-blooded households than in full-blooded households.…”

Section: Introductionmentioning

confidence: 99%

An empirical study on measuring technical performance of industry based on ISIC classification

Khosravani¹,

Alroaia²

2012

MSL

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Measuring technical efficiency of different industries plays an important role on making managerial decisions. In this paper, we present an empirical study to measure technical efficiencies of various industries based on two-digit ISIC classification method in Iran. The proposed model uses stochastic frontier analysis (SFA) and implements maximum likelihood estimation (MLE) to estimate the parameters. The proposed study gathers the necessary data from year 2001 to year 2008 and implemented two methods where the second method is an extended model by using energy as part of efficiency estimation. The results of the survey indicate that auto industry was the most productive sector followed by equipments and the paper industry was among inefficient sectors.

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“…Perhaps the only paper in economic history that explicitly addresses the evolution of property ownership and sovereignty between the United States and Indigenous nations isAnderson and Mc Chesney (1994).7 On the Dawes Act, seeAkee (2020),Carlson (1978Carlson ( , 1981Carlson ( , 1983,Miller (2015),Dippel and Fry (2019),Dippel et al (2020), andLeonard et al (2020).8 Exceptions includeWishart (1995),Gregg (2009), andGregg and Wishart (2012) on the Cherokee economy and their removal.9 Our paper parallels new work on the development of the US economy, slavery, and how Black Americans faced extractive institutions(Derenoncourt, 2017) and who too were dispossessed(Logan and Temin, 2020).…”

mentioning

confidence: 99%

“…This paper complements the emerging literature on Indigenous economic history, which focuses heavily on the Dawes Era but is largely separate from that on the development of the American economy. 11 Papers in this literature focus on natural resource loss (Feir, Gillezeau, and Jones 2019), forced co-existence of different Indigenous nations on reservations (Dippel 2014), the extent of federal oversight on reservations (Frye and Parker 2021), and residential schools (Gregg 2018). Each had major consequences for Indigenous economic growth but would have been impossible without the political, legal, and economic changes before 1871, which are the main focus here.…”

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confidence: 99%

Indigenous Nations and the Development of the U.S. Economy: Land, Resources, and Dispossession

Carlos

Feir²,

Redish³

2022

J. Econ. Hist.

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Abundant land and strong property rights are conventionally viewed as key factors underpinning U.S. economic development success. This view relies on the “Pristine Myth” of an empty undeveloped land, but the abundant land of North America was already made productive and was the recognized territory of sovereign Indigenous Nations. We demonstrate that the development of strong property rights for European/American settlers was mirrored by the attenuation and increasing disregard of Indigenous property rights. We argue that the dearth of discussion of the dispossession of Indigenous nations results in a misunderstanding of some of the core themes of U.S. economic history.

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Technical efficiency estimates of Cherokee agriculture: A pre- and post-removal analysis

Cited by 6 publications

References 12 publications

Efficiency in South African agriculture: a two-stage fuzzy approach

Efficiency in South African agriculture: a two-stage fuzzy approach

An empirical study on measuring technical performance of industry based on ISIC classification

Indigenous Nations and the Development of the U.S. Economy: Land, Resources, and Dispossession

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