About

Professor Barry Goodwin is a member of the People Management Advisory Board at NC State University's Poole College of Management. The advisory board's purpose is to support faculty in providing relevant, effective education and quality research that is meaningful to current and future leaders. The board aims to enable students and stakeholders through teaching, research, and service to develop a deep understanding of the complexities of modern business environments, including strategy formulation, implementation, staffing, and resourcing. Specific details about Professor Goodwin's research focus, background, or key contributions are not provided in the page text.

Research topics

• Economics
• Business
• Microeconomics
• Econometrics
• Agricultural economics
• Agricultural science
• Biology
• Agronomy
• Engineering
• Monetary economics
• Environmental science
• Biotechnology
• Marketing
• Industrial organization
• Natural resource economics
• Geography
• Mathematics
• Finance
• Ecology

Selected publications

• European seaweed prices: The influence of major seaweed-exporting countries and substitute commodities

  Figshare · 2026-04-16

  articleOpen access

  Uncertainty in price formation hinders European seaweed farmers from attracting investments for scaling. This study analyses the impact of seaweed prices in four major exporting countries (China, South Korea, Chile, Ireland) and the prices of three substitute commodities (guar gum, gelatin, pectin) on the price of seaweed in Europe. Using an autoregressive distributed lag model with algae export prices for the years 2016 to 2023, we identified short-run relationships between European seaweed prices and prices of major seaweed-exporters (spatial price transmission) and substitute commodities (cross-commodity price transmission). Our results reveal positive and negative price transmission effects, varying across countries and time lags. Seaweed prices in almost all European countries are affected by at least one of the major exporters or substitutes. Estimated short-run elasticities indicates partial and heterogeneous price transmission. The statistically significant relationships indicate that the European seaweed market shows evidence of short-run integration with global seaweed markets and, to a lesser extent, with hydrocolloid markets. This suggests that the European industry faces international competition and price effects of substitute commodities. We highlight the need for better data collection of seaweed prices, specifically more detail on species and processing forms, to better understand the price relationships identified.

  PublisherDOI

• European seaweed prices: The influence of major seaweed-exporting countries and substitute commodities

  Figshare · 2026-04-16

  articleOpen access

  Uncertainty in price formation hinders European seaweed farmers from attracting investments for scaling. This study analyses the impact of seaweed prices in four major exporting countries (China, South Korea, Chile, Ireland) and the prices of three substitute commodities (guar gum, gelatin, pectin) on the price of seaweed in Europe. Using an autoregressive distributed lag model with algae export prices for the years 2016 to 2023, we identified short-run relationships between European seaweed prices and prices of major seaweed-exporters (spatial price transmission) and substitute commodities (cross-commodity price transmission). Our results reveal positive and negative price transmission effects, varying across countries and time lags. Seaweed prices in almost all European countries are affected by at least one of the major exporters or substitutes. Estimated short-run elasticities indicates partial and heterogeneous price transmission. The statistically significant relationships indicate that the European seaweed market shows evidence of short-run integration with global seaweed markets and, to a lesser extent, with hydrocolloid markets. This suggests that the European industry faces international competition and price effects of substitute commodities. We highlight the need for better data collection of seaweed prices, specifically more detail on species and processing forms, to better understand the price relationships identified.

  PublisherDOI

• Soil Characteristics and Crop Insurance Losses

  Journal of Agricultural and Applied Economics · 2026-02-18

  articleOpen access1st authorCorresponding

  Abstract We consider the relationship between soil characteristics and crop insurance losses. Note that crop insurance losses are typically considered to be a reliable measure of overall yield risk. Our results indicate that several soil characteristics linked to erosion are related to overall loss ratios in the federal crop insurance program. If premium rates adequately account for the risks associated with soil characteristics, there should be no relationship between loss ratios and soil characteristics. Thus, our results indicate that gains in the accuracy of insurance premium rates may be achievable from a greater focus on soil characteristics. We also consider the relationship of specific hazards with soil characteristics and find that different soil factors have varied relationships with specific causes of loss in the federal crop insurance program.

  PublisherOA PDFDOI

• Nonlinear Price Dynamics in the Pine Sawtimber Market

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• The Impact of Trade Measures to Address IllegalWood Trafficking on the Global Forest ProductsMarket

  SSRN Electronic Journal · 2026-01-01

  preprintOpen accessSenior author
  PublisherDOI

• European seaweed prices: The influence of major seaweed-exporting countries and substitute commodities

  Aquaculture Economics & Management · 2026-04-16

  articleOpen access

  Uncertainty in price formation hinders European seaweed farmers from attracting investments for scaling. This study analyses the impact of seaweed prices in four major exporting countries (China, South Korea, Chile, Ireland) and the prices of three substitute commodities (guar gum, gelatin, pectin) on the price of seaweed in Europe. Using an autoregressive distributed lag model with algae export prices for the years 2016 to 2023, we identified short-run relationships between European seaweed prices and prices of major seaweed-exporters (spatial price transmission) and substitute commodities (cross-commodity price transmission). Our results reveal positive and negative price transmission effects, varying across countries and time lags. Seaweed prices in almost all European countries are affected by at least one of the major exporters or substitutes. Estimated short-run elasticities indicates partial and heterogeneous price transmission. The statistically significant relationships indicate that the European seaweed market shows evidence of short-run integration with global seaweed markets and, to a lesser extent, with hydrocolloid markets. This suggests that the European industry faces international competition and price effects of substitute commodities. We highlight the need for better data collection of seaweed prices, specifically more detail on species and processing forms, to better understand the price relationships identified.

  PublisherDOI

• Market Integration and Nonlinear Price Transmission in 19th‐Century British Wheat Markets

  Journal of Agricultural Economics · 2026-04-26

  articleOpen access1st authorCorresponding

  ABSTRACT Important developments in infrastructure and institutions characterized 19th‐Century wheat markets in Great Britain. Among these developments was the construction of the national rail system which enabled cheaper and more efficient transport of grain and other bulky cargoes between inland towns and ports. We consider the degree to which wheat markets in twelve British cities were spatially integrated over the nineteenth century by applying conventional threshold models and semi‐nonparametric (generalized additive) models of spatial price linkages. Although results concerning market integration are qualitatively similar, the semi‐nonparametric models capture important nonlinearities that may be missed by conventional threshold models. Both approaches support a high degree of integration among the spatially distinct markets. We then consider two sub‐samples from 1800–1840 and 1870–1913 to capture price transmission before and after the repeal of the Corn Laws, the development of the railway system, the improvement of steam engines for ocean transport, and the introduction of the telegraph system. The nonlinear models suggest faster equilibration in response to large shocks and tighter transaction cost bands in the second period.

  PublisherDOI

• Measuring and Forecasting Inflation in China with Disaggregated Price Data

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Convergence Bias in Lean Hog Futures

  Journal of Agricultural and Applied Economics · 2025-06-23

  articleOpen accessSenior author

  Abstract We examine the convergence of lean hog futures and cash prices, focusing on the thinning of negotiated cash markets. Using daily Livestock Mandatory Reporting data from 2001 to 2024, we confirm significant non-convergence between negotiated and futures prices over the past two decades. Regression results show that as the share of negotiated transactions declines, the absolute basis increases, emphasizing the critical role of negotiated markets in ensuring convergence. These findings highlight concerns about the reliability of negotiated prices as a benchmark for contracts and offer valuable insights for price risk management in the hog industry.

  PublisherOA PDFDOI

• Do Cover Crops Reduce Downside Production Risk?

  Agricultural Economics · 2025-11-16

  articleSenior author

  ABSTRACT This study examines whether cover crop adoption reduces downside production risk. A crop insurance loss measure is used as the main measure of downside production risk. To achieve the study objective, we utilize a unique county‐level panel data set with information on cover crop adoption rate, crop insurance production losses, and weather variables. The data covers the main corn and soybean production regions in the Midwestern United States for the period 2005–2018. We employ linear fixed effects econometric models and a number of robustness checks in the empirical analysis (i.e., implementing different estimation procedures and a variety of empirical specifications). The different estimation methods employed leverage the panel nature of the data to address various specification and endogeneity issues. Our estimation results suggest that counties with higher cover crop adoption tend to have lower crop insurance losses and lower downside production risk. This finding supports the idea that the soil health benefits from cover crop use translate to a reduced likelihood of production losses.

  PublisherDOI

Frequent coauthors

• Allen M. Featherstone

  Kansas State University

  42 shared

• Teresa Serra

  Instituto de Biologia Experimental e Tecnológica

  38 shared

• Ashok K. Mishra

  Arizona State University

  34 shared

• Sujit K. Ghosh

  North Carolina State University

  26 shared

• Nicholas E. Piggott

  21 shared

• Roderick M. Rejesus

  North Carolina State University

  20 shared

• Jeffrey Gillespie

  Economic Research Service

  19 shared

• Carl Johan Lagerkvist

  Swedish University of Agricultural Sciences

  18 shared

Labs

• People Management Advisory BoardPI

Awards & honors

• Holladay Medal (2018)