and Market Structure: A Case Study of the Agricultural - - PowerPoint PPT Presentation

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Endogenous R&D Investment and Market Structure: A Case Study of the Agricultural Biotechnology Sector Benjamin C. Anderson Ian M. Sheldon Contact Information: anderson.1423@osu.edu This project was supported by the AFRI of the


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SLIDE 1

Endogenous R&D Investment and Market Structure:

A Case Study of the Agricultural Biotechnology Sector

Benjamin C. Anderson† Ian M. Sheldon

  • † Contact Information: anderson.1423@osu.edu
  • This project was supported by the AFRI of the NIFA at the USDA. Grant # 2008-35400-18704.
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SLIDE 2

Motivation

  • Why agricultural biotechnology?

– Young (dynamic) industry – Property rights – Increasing importance in global agriculture

  • Why an endogenous fixed cost (EFC) model?

– Product quality and sunk investments in R&D – Levels of industry concentration bounded away from perfect competition

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SLIDE 3

Research Questions

  • Is the agricultural biotechnology industry,

specifically the GM corn seed industry, characterized by an EFC-type model?

  • How is this analysis relevant to:

– Past consolidation activity – Current discussions on anticompetitive actions – Implications on future sector growth

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SLIDE 4

The Agricultural Biotechnology Sector

  • The seed industry before biotechnology

– Innovation, IPRs, and patenting – Mendelian genetics and hybridization

  • Consolidation and concentration: the first

generation of commercialized GM crops

  • Subsequent

generations and renewed concerns of concentration

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SLIDE 5

Data

  • R&D Concentration

– APHIS Field Trial Data on applications (6697) for the release of GM crops (1990-2010) – Dates, phenotypes/genotypes, states – Petitions for deregulation (heterogeneity)

  • Market Size

– NASS Acreage Reports (1996-2010) – “Adoption of Genetically-Engineered Crops”, ERS data product (2000-2010)

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SLIDE 6

Market Definition

  • Share of total corn acres planted
  • Share of corn acres planted to total cropland
  • Herbicide Use

– % of corn acres treated – Intensity of application (lb/acre)

  • Pesticide Use

– % of corn acres treated – Intensity of application (lb/acre)

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SLIDE 7

Market Definition

Appalachia

(2.2%)

Source: Authors’ calculations from NASS 2010 Acreage Report.

Figure 3: Core and Fringe Regions of the US Corn Belt

(Regional Share of Total Corn Acres Planted) Legend ( - ): Regional Share of US Corn Acres Planted (2010) West

(3.4%)

Southeast

(1.6%)

Northeast

(0.2%) %)

Mid-Atlantic

(4.2%)

East “Fringe”

(15.2%)

“Core”

(29.5%)

North “Fringe”

(20.6%)

West “Fringe”

(19.1%)

Southern Plains

(4.0%)

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SLIDE 8

Empirical Model

  • Sutton (1991, 1998)

– Ellickson (2007), Berry and Waldfogel (2006), Marin and Siotis (2007), Dick (2007)

  • Theoretical prediction:
  • Empirical model:

– where

𝐷1 ≥ 𝑏0 𝑙0

𝛾∗ ∙ ℎ

𝐷 𝑜 ℎ 𝑗 = 𝛾0 +

𝛾1 ln 𝑇 𝐺 + 𝜁𝑗,

𝐺 𝜁 = 1 − exp −

𝜁−𝜈 𝜀 𝜒

, 𝜒, 𝜀 > 0.

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SLIDE 9

Concluding Remarks

  • Supportive

evidence for agricultural biotechnology being characterized by EFC

  • Going forward:

– Refining markets – Estimating model accounting for specific product traits – Comparison with other GM seed industry markets (soybeans/cotton)