Dayton M. Lambert

ORCID: 0000-0001-9742-9927
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About
Contact & Profiles
Research Areas
  • Economic and Environmental Valuation
  • Agricultural Innovations and Practices
  • Spatial and Panel Data Analysis
  • Regional Economics and Spatial Analysis
  • Agricultural Economics and Policy
  • Economics of Agriculture and Food Markets
  • Organic Food and Agriculture
  • Housing Market and Economics
  • Crop Yield and Soil Fertility
  • Forest Management and Policy
  • Research in Cotton Cultivation
  • Regional Economic and Spatial Analysis
  • Bioenergy crop production and management
  • Water resources management and optimization
  • Soil Geostatistics and Mapping
  • Irrigation Practices and Water Management
  • Soil and Water Nutrient Dynamics
  • Soil Carbon and Nitrogen Dynamics
  • Agronomic Practices and Intercropping Systems
  • Firm Innovation and Growth
  • Efficiency Analysis Using DEA
  • Climate Change Policy and Economics
  • Smart Agriculture and AI
  • Agricultural risk and resilience
  • Agriculture Sustainability and Environmental Impact

Oklahoma State University
2018-2025

Oklahoma State University Oklahoma City
2022-2024

John Wiley & Sons (United States)
2023

Liechtenstein Institute
2023

Hudson Institute
2023

University of Tennessee at Knoxville
2010-2020

Agricultural & Applied Economics Association
2006-2020

United States Department of Agriculture
2006-2018

University of Tennessee System
2010-2017

North Carolina State University
2017

Recent work challenges the notion that attracting creative workers to a place is sufficient for generating local economic growth. In this article, we examine problem of sustaining robust growth in periphery USA, demonstrating contingent nature talent as an engine We test hypothesis rural knowledge economy dependent on ability utilize new knowledge, perhaps generated elsewhere, addressing challenges. Tests confirm interaction entrepreneurial context with share workforce employed class...

10.1093/jeg/lbq007 article EN cc-by-nc Journal of Economic Geography 2010-05-17

Creative class theory posits that creative people are attracted to places most conducive activity. The association of the share employment in arts with various indicators economic dynamism provides plausible support for this conjecture. We explicitly test conjecture by modeling 1990 at county level, and then use residual from regression explain differences measures between 2000. Our results hypothesis an unobserved milieu attracts artists increases local dynamism.

10.1093/jeg/lbm029 article EN cc-by-nc Journal of Economic Geography 2007-05-17

Abstract Conservation agriculture (CA) systems are based upon minimal soil disturbance; crop residue retention and rotation and/or intercrop association increasingly seen to recycle nutrients, increase yield reduce production costs. This study examines the effects of CA practices on productivity, profitability quality under conditions encountered by smallholder farmers in two farming communities from 2005 2011 Malawi, as part contribution remedy a lack supporting agronomic research for these...

10.1017/s1742170512000257 article EN cc-by-nc-sa Renewable Agriculture and Food Systems 2012-08-24

Abstract The gravity model is used extensively to investigate the trade flow effects of Regional Trade Agreements (RTAs). A notable feature common previous research use aggregate data. These studies typically report conflicting, and even negative results effect RTAs on members' trade. Using recent developments in equation suggested by Baier Bergstrand (2007) Anderson van Wincoop (2003), this article demonstrates that RTA depend fundamentally whether analysis focuses agricultural or...

10.1111/j.1467-8276.2008.01134.x article EN American Journal of Agricultural Economics 2008-04-03

Many studies on the adoption of precision technologies have generally used logit models to explain behavior individuals. This study investigates factors affecting intensity agriculture adopted by cotton farmers. Particular attention is given role spatial yield variability number farming adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field higher technologies. Younger better educated producers were significantly correlated....

10.1017/s1068280500004561 article EN Agricultural and Resource Economics Review 2011-04-01

This research analyzes the adoption patterns among cotton farmers for remote sensing, yield monitors, soil testing, electrical conductivity, and other precision agriculture technologies using a Multiple Indicator Causation regression model. Adoption are analyzed principle component analysis to determine natural technology groupings. Identified bundles regressed on farm structure operator characteristics. The propensity adopt was greater producers managing relatively larger operations who...

10.22004/ag.econ.206599 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2015-05-01

Adoption of precision agriculture technology has received considerable attention, but abandonment little. This paper identifies factors motivating adoption and soil sampling in cotton. Younger producers who farmed more cotton area, owned their cropland, planted non-cotton or used a computer were likely to adopt sampling. Those with area livestock abandon, while those longer, variable-rate fertilizer application less abandon

10.22004/ag.econ.46556 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2008-12-01

Using rank-ordered logit regression, researchers typically analyze consumer preference data collected with Best-Worst Scaling (BWS) surveys. We propose a generalized (GROL) model that allows flexibility in modeling heterogeneity. The GROL and mixed (MROL) accommodate However, the also one to heterogeneity as function of demographic or environmental variables. A Monte Carlo experiment compares estimates accuracy precision proposed estimation MROL specification. Simulation results suggest...

10.1016/j.jocm.2024.100475 article EN cc-by-nc-nd Journal of Choice Modelling 2024-02-05

Interactions among environmental factors, management decisions, and field characteristics cause temporal spatial variability in corn ( Zea mays L.) soybean [ Glycine max (L.) Merr.] yields. The objectives of this paper are (i) to test whether yield response N P spatially temporally stable, (ii) evaluate the profitability a variable rate (VR) fertility strategy over 5‐yr, corn–soybean rotation using information. A near Windom, MN, USA, was cropped with (1997, 1999, 2001) (1998, 2000). Three...

10.2134/agronj2005.0005 article EN Agronomy Journal 2006-01-01

Abstract This research note examined the performance of Geographically Weighted Regression (GWR) using two calibration methods. The first method, Cross Validation (CV), has been commonly used in applied literature GWR. A second criterion selected an optimal bandwidth that corresponded with smallest spatial error Lagrange Multiplier (LM) test statistic. We find there is a tradeoff between addressing autocorrelation and reducing degree extreme coefficients Although can be controlled for by LM...

10.1080/13504850802314452 article EN Applied Economics Letters 2009-01-22

SUMMARY Agricultural production in southern Africa is constrained by numerous factors, including low soil fertility, frequent droughts and flooding, limited access to fertilizers the use of unsustainable management techniques that increase erosion rates. Conservation agriculture (CA) based on principles minimum disturbance, crop residue retention rotations. CA systems have been proposed alleviate negative externalities associated with conventional systems. This study was conducted examine...

10.1017/s0014479713000306 article EN Experimental Agriculture 2013-05-13

Traditionally grown soybean [ Glycine max (L.) Merr.] Maturity Groups V and VI are subject to late‐season drought in the US Mid‐South, resulting yield reductions when planted mid‐May. Earlier maturing soybean, such as more recently adapted Group III cultivars, have generated interest among farmers a way avoid effects of drought. We investigated economically optimal plant population density for considering seeding rate, row spacing, seed prices, weather V, IV, on rainfed soils rolling uplands...

10.2134/agronj14.0453 article EN Agronomy Journal 2015-03-20

Core Ideas Investment into no‐till reduces risk. Risk averse producers prefer over tillage. Cover crops increased risk compared to no cover crops. Upland cotton ( Gossypium hirsutum L.) fields have minimal amounts of soil surface crop residue after harvest, exposing and increasing the erosion. This is especially challenging in Mid‐South United States where commonly grown on soils naturally prone Winter planting are two practices that can mitigate erosion by biomass, but there uncertainty how...

10.2134/agronj2017.08.0431 article EN Agronomy Journal 2017-11-30

Precision agriculture (PA) technology has been on the market for over ten years. Global Positioning Systems (GPS), Geographic Information (GIS), yield monitors, variable rate technologies (VRT) and other spatial management are being used by farmers worldwide, but questions remain about profitability of its future. This paper summarizes: 1) data adoption PA 2) review economics studies 3) efforts to make better use monitor sensor in crop management. The estimates based reports an international...

10.22004/ag.econ.28615 article EN Staff Papers 2004-01-01

This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping using three datasets different spatial resolutions. We found that although GWR yields regardless resolution dataset or types kernel function: (1) tends to generate for less spatially dense datasets; (2) coefficient maps based polygon data representing aggregated areal units are more sensitive coefficients; (3) bandwidths generated by a fixed calibration procedure...

10.2747/1548-1603.46.3.273 article EN GIScience & Remote Sensing 2009-07-01

The United States (US) uses landfills to dispose paper cups at a rate of 40 percent. Landfill rates on plastic disposable dinnerware are even higher around 80 This study examines consumer preferences for single-use with the attributes: no trees; contains plastic; made from agricultural crop byproduct cellulose; cellulose dedicated crops, and/or organically sourced certified biobased; and compostable or recyclable. A Multiple Indicator Causes (MIMIC) model is used estimate effects...

10.1016/j.resconrec.2020.104965 article EN cc-by-nc-nd Resources Conservation and Recycling 2020-06-11

The research objective is to estimate consumer willingness pay (WTP) for electricity grid fortification. Data are from a representative survey of Oklahoma citizens. Extreme weather events, aging utility infrastructure, increased demand affordable energy, and terrorism threaten the safety security way most citizens access electricity. This study first look at public support energy measures in United States Southern Great Plains. Findings suggest that consumers would an additional $14.69...

10.1016/j.eneco.2024.107345 article EN cc-by-nc Energy Economics 2024-01-22
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