Kyle C. Meng
Bren School of Environmental
Science and Management
Department of Economics
University of California, Santa Barbara
4416 Bren Hall
Santa Barbara, CA 93106
NBER Program Affiliations:
NBER Affiliation: Faculty Research Fellow
NBER Working Papers and Publications
|November 2017||Temperature Effects on Productivity and Factor Reallocation: Evidence from a Half Million Chinese Manufacturing Plants|
with Peng Zhang, Olivier Deschenes, Junjie Zhang: w23991
This paper uses detailed production data from a half million Chinese manufacturing plants over 1998-2007 to estimate the effects of temperature on firm-level total factor productivity (TFP), factor inputs, and output. We detect an inverted U-shaped relationship between temperature and TFP and show that it primarily drives the temperature-output effect. Both labor- and capital- intensive firms exhibit sensitivity to high temperatures. By mid 21st century, if no additional adaptation were to occur, we project that climate change will reduce Chinese manufacturing output annually by 12%, equivalent to a loss of $39.5 billion in 2007 dollars. This implies substantial local and global economic consequences as the Chinese manufacturing sector produces 32% of national GDP and supplies 12% of globa...
Published: Peng Zhang & Olivier Deschenes & Kyle Meng & Junjie Zhang, 2017. "Temperature Effects on Productivity and Factor Reallocation: Evidence from a Half Million Chinese Manufacturing Plants," Journal of Environmental Economics and Management, .
|August 2016||Estimating Path Dependence in Energy Transitions|
Addressing climate change requires transitioning away from coal-based energy. Recent structural change models demonstrate that temporary interventions could induce permanent fuel switching when transitional dynamics exhibit strong path dependence. Exploiting changes in local coal supply driven by subsurface coal accessibility, I find that transitory shocks have strengthening effects on the fuel composition of two subsequent generations of U.S. electricity capital. To facilitate a structural interpretation, I develop a model which informs: tests that find scale effects as the relevant mechanism; recovery of the elasticity of substitution between coal and non-coal electricity; and simulations of future carbon emissions following temporary interventions.
|May 2016||Using a Free Permit Rule to Forecast the Marginal Abatement Cost of Proposed Climate Policy|
This paper develops a method for forecasting the marginal abatement cost (MAC) of climate policy using three features of the failed Waxman-Markey bill. First, the MAC is revealed by the price of traded permits. Second, the permit price is estimated using a regression discontinuity design (RDD) comparing stock returns of firms on either side of the policy’s free permit cutoff rule. Third, because Waxman-Markey was never implemented, I extend the RDD approach to incorporate prediction market prices which normalize estimates by policy realization probabilities. A final bounding analysis recovers a MAC range of $5 to $19 per ton CO2e.
Published: Kyle C. Meng, 2017. "Using a Free Permit Rule to Forecast the Marginal Abatement Cost of Proposed Climate Policy," American Economic Review, vol 107(3), pages 748-784.
|December 2013||Estimating Habit Formation in Voting|
with Thomas Fujiwara, Tom Vogl: w19721
We estimate habit formation in voting--the effect of past on current turnout--by exploiting transitory voting cost shocks. Using county-level data on U.S. presidential elections from 1952-2012, we find that precipitation on current and past election days reduces voter turnout. Our estimates imply that a 1-point decrease in past turnout lowers current turnout by 0.7-0.9 points. Consistent with a dynamic extension of the Downsian framework, current precipitation has stronger effects following previous rainy elections. Further analyses suggest that this habit formation operates by reinforcing the intrinsic satisfaction associated with voting.
Published: Fujiwara, Thomas, Kyle Meng, and Tom Vogl. 2016. "Habit Formation in Voting: Evidence from Rainy Elections." American Economic Journal: Applied Economics, 8 (4): 160-88.