Krishna Paudel

Prof. Krishna Paudel

Louisiana State University
+1
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 September 2018 in Environmental Management
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Journal Article
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Bijesh MishraBijesh Mishra
Bijesh Mishra
BGBuddhi R. Gyawali
Buddhi R. Gyawali
KPKrishna Paudel
Krishna Paudel
NPNeelam Poudyal
Neelam Poudyal
MSMarion F. Simon
Marion F. Simon
GAGeorge Antonious
George Antonious

1 July 2005 in Environmental and Resource Economics
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Journal Article
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KPKrishna Paudel
Krishna Paudel
HZHector Zapata
Hector Zapata
DSDwi Susanto
Dwi Susanto

12 September 2020 in Natural Hazards
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Journal Article
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SPSantosh Pathak
Santosh Pathak
HPHari Krishna Panta
Hari Krishna Panta
TBThaneshwar Bhandari
Thaneshwar Bhandari
KPKrishna Paudel
Krishna Paudel

4 March 2021 in Journal of Environmental Planning and Management
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Journal Article
Closed access
ZCZuocheng Chen
Zuocheng Chen
KPKrishna Paudel
Krishna Paudel
RZRongqing Zheng
Rongqing Zheng
This paper uses spatial econometric and the threshold effect models to study the effects of foreign direct investment (FDI) in China’s energy conservation and emissions reduction. We use provincial-level data on pollutants (CO2, wastewater emission, exhaust emission, and waste emission) available from 2001 to 2015. Results indicated that FDI not only promotes China’s “energy conservation,” but also improves China’s CO2 emission efficiency and environmental efficiency. We find that export-oriented foreign companies can significantly improve China’s energy efficiency and water quality. FDI enhances energy efficiency through eco-oriented technological progress and water quality, air quality through production-oriented technological progress. We also find that the impact of FDI on China’s energy conservation and emission reduction has significant threshold effects. Our findings contradict the often believed “pollution haven hypothesis.”

1 May 2009 in Waste Management
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Journal Article
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KPKrishna Paudel
Krishna Paudel
KBKeshav Bhattarai
Keshav Bhattarai
WGWayne M. Gauthier
Wayne M. Gauthier
LHLarry M. Hall
Larry M. Hall

30 May 2018 in Water
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Journal Article
Open access
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BPBijay Pokhrel
Bijay Pokhrel
KPKrishna Paudel
Krishna Paudel
ESEduardo Segarra
Eduardo Segarra
We use the 2013 cotton precision farming survey data to study the adoption of irrigation technologies by cotton farmers in 14 states of the United States. We find that farmers with a higher irrigated yield, and who are from the Southern Plains (Texas and Oklahoma), adopt water-efficient irrigation technologies, such as sub-surface drip and trickle irrigation technologies. There are 10 irrigation technologies that farmers can adopt for cotton production in these 14 cotton-growing states. The intensity of the irrigation technologies, as measured by the number of irrigation technologies adopted in cotton production, is affected by the irrigated cotton yield realized, land holding (total land owned), education, computer use, and the origin of the cotton farmer being from the Southern Plains. We use a multivariate fractional regression model to identify land allocation by the different irrigation technologies used. Our results indicate that significant variables affecting land allocation with different irrigation technologies are the age of the operator, the cover crop, the information sources used, the per acre irrigated yield, the education, and the cotton farmer being from the Southern Plains.