Economic Growth and the Convergence in Carbon Emissions Across Countries M. Scott Taylor Department of Economics, Calgary Institute for Advanced Policy.

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Presentation transcript:

Economic Growth and the Convergence in Carbon Emissions Across Countries M. Scott Taylor Department of Economics, Calgary Institute for Advanced Policy Research, Calgary National Bureau of Economic Research, Cambridge MA

The Environment and Growth Is continuing economic growth compatible with an improving environment? What determines cross country differences in environmental quality?

Problem Continual growth with environmental improvement requires falling emissions per unit of output. But lowering emissions per unit of output comes at increasing cost, because of Diminishing Returns.

Implication Pollution abatement costs should rise precipitously This lowers the return to investment This should choke off growth

Potential Solution Technological progress holds costs down The return to capital accumulation is not choked off Growth with environmental improvement is possible

Is it possible? Maybe

The Solow Model One Aggregate Good produced via capital equipment and labor Aggregate output can be consumed or invested Capital accumulates over time via investment Technological progress makes inputs to goods production more efficient over time.

Rewrite in Different Units

k* (n+g+δ)k f(k) Capital per effective worker y* The Solow Model sf(k) i* k(0) Output Savings Investment

BGP Predictions Technological progress determines an economy’s long run growth. k* is constant along the BGP, but this means: Capital per worker, K/L grows at rate g Income per capita Y/L grows at rate g Aggregate output grows at rate g+n

k* (n+g+δ) sf(k)/k Capital per effective worker Rates of Change k(0) Transition Path Predictions

Unconditional Convergence Poor Countries Should grow faster than Rich ones

k* (n+g+δ) sf(k)/k Capital per effective worker Rates of Change Transition Path Predictions s’f(k)/k (n’+g+δ) k*’

Conditional Convergence Correct for SS differences

The Green Solow Model Technological progress makes inputs used in both goods production and abatement more efficient over time. Environmental standards rise slowly over time

Emissions produced are proportionate to output flow Emissions can be abated but at some cost

Manipulate to Obtain Emissions Growth along BGP Defined as G E =g+n-g A Transitional Growth Component

Two Time Frames Along the BGP we again have dk/dt = 0 Emissions fall or rise over time If G E > 0 we say growth is unsustainable If G E < 0 we say growth is sustainable

k* α(n+g+δ) αsf(k)/k [dE/dt]/E Capital per effective worker Rates of Change α(n+g+δ)-G E kTkT Sustainable Growth: G E <0 [dk/dt]/k

Empirical Implications

Declining Emissions to GDP ratios

Pollution Abatement costs/GDP are virtually constant

Sulfur Dioxide Emissions,

Carbon Monoxide Emissions,

Nitrogen Oxide Emissions,

Volatile Organic Compounds

Particulate Matter PM10,

What if Growth is Unsustainable?

k* α(n+g+δ) αsf(k)/k [dE/dt]/E Capital per effective worker Rates of Change α(n+g+δ)-G E kTkT UnSustainable Growth: G E >0

Unconditional Convergence

Conditional Convergence

Estimated Rate of Convergence Rate of convergence is 2% per year. This implies: 35 years to halve the gap between current position and steady state Observation of positive emission growth for a very long period is consistent with “sustainable” growth. Could Carbon be like sulfur, nitrogen oxides, particulates, etc?

Conclusions Green Solow model offers a consistent explanation for observed data on emission levels, emission intensities, and environmental control costs. Predicts conditional convergence in emissions per person. Estimated rate of convergence is very slow. 2% per year.

Predicts eventually rising environmental quality if technological progress is sufficiently rapid Left to do: Other pollutants and European countries; rest of the world and Carbon emissions; other estimation strategies.