ACTIVEResearch Project

Credit Constraints and Innovation Investment

A model of how credit constraints shape entrepreneurial R&D under venture-capital financing. Borrowing limits restrict how much entrepreneurs can invest in quality-ladder innovation, and the funding structure influences the rate of technological progress.

Model
Prod.
Demand
LTV
Standard · VC
0.945
-0.605
0.611
Standard · credit constrained
0.978
-0.988
0.220
Markup · VC
0.941
-0.694
0.617
Markup · credit constrained
0.981
-0.988
0.807
Table 4 · Model simulations

Key Findings

  1. № 001

    Credit constraints bind for entrepreneurs: Patient households provide seed funding but entrepreneurs face borrowing limits that restrict optimal R&D investment

  2. № 002

    Quality ladder innovation generates endogenous growth: R&D expenditure creates probabilistic quality improvements with cost increasing in technological sophistication

  3. № 003

    Venture capital structure affects innovation dynamics: The equity-sharing arrangement between patient households and entrepreneurs creates different incentives compared to standard debt financing

  4. № 004

    Arrow replacement effect modified: Credit constraints can override the standard result that incumbents have lower innovation incentives than entrants

Methodology

  1. № 001

    Two-agent DSGE model: Patient households (high β) and impatient entrepreneurs (low β) with different time preferences

  2. № 002

    Schumpeterian quality ladder: Innovation increases sectoral quality levels by factor λ with probability η(z^E_t)

  3. № 003

    Credit market friction: Entrepreneurs can only borrow against expected firm value, creating financing constraints

  4. № 004

    Endogenous mark-ups: Monopolistic competition with price mark-ups determined by number of firms per sector

  5. № 005

    Calibration to business cycle moments: Model parameters chosen to match stylized facts about R&D and output volatility

Implications

  1. № 001

    Financial development matters for growth: Improving access to credit for entrepreneurs can boost aggregate innovation and long-run growth

  2. № 002

    Venture capital policy: Policies supporting equity financing may be more effective than debt market interventions for innovation

  3. № 003

    Cyclical innovation patterns: Credit constraints can explain why R&D behaves differently from theoretical predictions during business cycles

  4. № 004

    Firm size and innovation: The model suggests optimal firm size depends on the balance between financing constraints and market power effects

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