Jaepil Han

Personal Details

First Name:	Jaepil
Middle Name:
Last Name:	Han
Suffix:
RePEc Short-ID:	pha1493
	[This author has chosen not to make the email address public]

Affiliation

Department of Economics
College of Economics and Management
Chungnam National University

Taejon, South Korea
http://plus.cnu.ac.kr/english/M02/sub_0204_01.jsp?major_code=Economics
RePEc:edi:dechukr (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Han, Jaepil & Ryu, Deockhyun & Sickles, Robin, 2015. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Working Papers 15-015, Rice University, Department of Economics.
   • Jaepil Han & Deockhyun Ryu & Robin Sickles, 2016. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 259-294, Emerald Group Publishing Limited.

   Cited by:

   1. Gong, Binlei, 2018. "Interstate competition in agriculture: Cheer or fear? Evidence from the United States and China," Food Policy, Elsevier, vol. 81(C), pages 37-47.
      • Gong, B., 2018. "Interstate Competition in Agriculture: Cheer or Fear? Evidence from the United States and China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277462, International Association of Agricultural Economists.
   2. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
      • Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
   3. Han, Jaepil & Sickles, Robin C., 2019. "Estimation of Industry-level Productivity with Cross-sectional Dependence by Using Spatial Analysis," Working Papers 19-002, Rice University, Department of Economics.
   4. Sung, Bongsuk & Soh, Jin Young & Park, Chun Gun, 2022. "Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry," Energy, Elsevier, vol. 246(C).
   5. Yuan, Lingran & Zhang, Qizheng & Wang, Shuo & Hu, Weibin & Gong, Binlei, 2022. "Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
   6. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
   7. Gong, Binlei, 2020. "Multi-dimensional interactions in the oilfield market: A jackknife model averaging approach of spatial productivity analysis," Energy Economics, Elsevier, vol. 86(C).

Articles

1. Jaepil Han, 2020. "Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1690-1717, December.

   Cited by:

   1. Lauretta Rubini & Chiara Pollio & Giuseppe Lucio Gaeta & Elisa Barbieri, 2021. "Heterogeneous effects of spinoff foundations on the means of technology transfer: the role of past academic-industry collaborations," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 261-292, April.
   2. Zhenxu Guo & Jiarui Shen & Lihong Li, 2024. "Identifying the implementation effect of technology transfer policy using system dynamics: a case study in Liaoning, China," The Journal of Technology Transfer, Springer, vol. 49(2), pages 660-688, April.
   3. Zhunwoo Kim & Ohsung Kwon, 2024. "The moderating role of external private investment on government-sponsored commercialisation R&D," Economics and Business Letters, Oviedo University Press, vol. 13(1), pages 12-19.
   4. Samira Yusef Araújo Falani Bezerra & Ana Lúcia Vitale Torkomian, 2024. "Technology Transfer Offices: a Systematic Review of the Literature and Future Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4455-4488, March.

2. Han, Jaepil, 2018. "Effects of Technology Transfer Policies on the Technical Efficiency of Korean University TTOs," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(4), pages 23-45.

   Cited by:

   1. Jaepil Han, 2020. "Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1690-1717, December.

Chapters

1. Jaepil Han & Deockhyun Ryu & Robin C. Sickles, 2016. "Spillover Effects of Public Capital Stock Using Spatial Frontier Analyses: A First Look at the Data," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Robin Sickles & Michael Veall & Marcel-Cristian Voia (ed.), Productivity and Efficiency Analysis, edition 1, chapter 0, pages 83-97, Springer.

   Cited by:

   1. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
   2. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.

2. Jaepil Han & Deockhyun Ryu & Robin Sickles, 2016. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 259-294, Emerald Group Publishing Limited.
   • Han, Jaepil & Ryu, Deockhyun & Sickles, Robin, 2015. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Working Papers 15-015, Rice University, Department of Economics.
   See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-AIN: Artificial Intelligence (1) 2023-06-19. Author is listed
2. NEP-BIG: Big Data (1) 2023-06-19. Author is listed
3. NEP-EFF: Efficiency and Productivity (1) 2019-04-22. Author is listed
4. NEP-GEO: Economic Geography (1) 2019-04-22. Author is listed
5. NEP-PPM: Project, Program and Portfolio Management (1) 2023-06-19. Author is listed
6. NEP-SBM: Small Business Management (1) 2023-06-19. Author is listed
7. NEP-URE: Urban and Real Estate Economics (1) 2019-04-22. Author is listed

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