By Markus Merz

This thesis makes use of neoclassical development types to judge what influence the constrained availability of nonrenewable assets has at the economy’s (world’s) progress power. Markus Merz concludes that recycling may well function a mid-term technique to endured progress, yet technological growth is required within the long-run. The theoretical research begins with the well known Dasgupta-Heal version and considers the impression of recycling and technological growth at the source constraints; resource-augmenting and backstop know-how are analyzed. After an intensive research of the types it truly is concluded that the final word approach to long term financial progress is a backstop technology.

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Additional resources for Scarce Natural Resources, Recycling, Innovation and Growth

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Recently, increased global waste production has resulted in research from a macroeconomic point of view. e. recycling as a pollution abatement activity). The conservation of nonrenewable resources is considered in more detail. Weinstein and Zeckhauser (1974) and Schulze (1974) were among the first to study the conservation of nonrenewable resources. They theorize the optimal consumption pattern of exhaustible resources with recycling. Weinstein and Zeckhauser (1974) allow for complete recycling whereas Schulze (1974) considers the more realistic case where only an exogenous given share of waste is recyclable.

The motion of waste is then given by: D˙ = −J + (J + R)(1 − χ)κ. 17) where 0 < χ < 1 denotes the fractional loss of material through use. The optimal consumption path is: C˙ = FK − ρ + C 1 1−χ FJ μ μ˙ FK (1 − κ) + . 18) The previously obtained results are still accurate. Consumption, however, peaks earlier. Since only part of the consumed output can be recycled, the amount of waste available for recycling is more rapidly used. The lifetime of the economy will be shorter compared to complete recycling.

The solution to the dynamic optimization problem uses the maximum principle of optimal control and combines the optimality conditions. The solution to this constrained optimization problem is derived in Appendix E. Note that the following solution is only true until the substitute is discovered. After the discovery date T the post technological breakthrough optimal policy is followed. 28) ! ! 29) HS := −ψ˙2 = e−ρt ωWS . 30) ! 5). The shadow price of capital equals the marginal utility if the technological breakthrough has not been reached.

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