The relationship between agricultural technologies and carbon emissions in Pakistan: Peril and promise
The objective of the study is to investigate the influence of agricultural technologies on carbon emissions in Pakistan by using annual data from 1975 to 2010. Data is analyzed by some econometrics techniques including cointegration theory, Granger causality test, variance decomposition, etc. The results reveal that agricultural technologies act as an important driver for increase in carbon emissions in Pakistan. Results indicate that unidirectional causality runs from agriculture machinery to carbon emissions but not vice versa. Agricultural technologies are closely associated with economic growth and carbon emissions in Pakistan. Variance decomposition analysis shows that among all the agricultural technologies, granting subsidies to the agriculture sector have exerts the largest contribution to changes in carbon emissions. Conversely, agricultural irrigated land seems relatively the least contributors on changes in carbon emissions due to infertility of total irrigated land available in Pakistan.
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- Engle, Robert & Granger, Clive, 2015.
"Co-integration and error correction: Representation, estimation, and testing,"
Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2009.
"The Environment and Directed Technical Change,"
NBER Working Papers
15451, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Aghion, Philippe & Bursztyn, Leonardo & Hemous, David, 2011. "The Environment and Directed Technical Change," CEPR Discussion Papers 8660, C.E.P.R. Discussion Papers.
- Acemoglu, Daron & Aghion, Philippe & Bursztyn, Leonardo & Hemous, David, 2010. "The Environment and Directed Technical Change," Seminar Papers 762, Stockholm University, Institute for International Economic Studies.
- Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2010. "The Environment and Directed Technical Change," Working Papers 2010.93, Fondazione Eni Enrico Mattei.
- Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
- Matthew A. Cole & Robert J. R. Elliott, 2005. "FDI and the Capital Intensity of "Dirty" Sectors: A Missing Piece of the Pollution Haven Puzzle," Review of Development Economics, Wiley Blackwell, vol. 9(4), pages 530-548, November.
- Tamazian, Artur & Chousa, Juan Piñeiro & Vadlamannati, Krishna Chaitanya, 2009. "Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries," Energy Policy, Elsevier, vol. 37(1), pages 246-253, January.
- Zaman, Khalid & Khan, Muhammad Mushtaq & Ahmad, Mehboob & Rustam, Rabiah, 2012. "The relationship between agricultural technology and energy demand in Pakistan," Energy Policy, Elsevier, vol. 44(C), pages 268-279.
- Gene M. Grossman & Alan B. Krueger, 1995.
"Economic Growth and the Environment,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 110(2), pages 353-377.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- World Bank, 2010. "World Development Indicators 2010," World Bank Publications, The World Bank, number 4373, March.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- Granger, C. W. J., 1988. "Causality, cointegration, and control," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 551-559.
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