Jian Li

Personal Details

First Name:	Jian
Middle Name:
Last Name:	Li
Suffix:
RePEc Short-ID:	pli1337
	https://sites.google.com/site/jianli507n841e/

Affiliation

Dongbei University of Finance and Economics

Dalian, China
http://www.dufe.edu.cn/
RePEc:edi:dufeecn (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. Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking?," CFS Working Paper Series 640, Center for Financial Studies (CFS).
   • Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking," European Economic Review, Elsevier, vol. 129(C).

   Cited by:

   1. Li, Lixu & Ye, Fei & Zhan, Yuanzhu & Kumar, Ajay & Schiavone, Francesco & Li, Yina, 2022. "Unraveling the performance puzzle of digitalization: Evidence from manufacturing firms," Journal of Business Research, Elsevier, vol. 149(C), pages 54-64.
   2. Christos Koulovatianos & Carsten Schröder, 2022. "Income-Dependent Equivalence Scales and Choice Theory: Implications for Poverty Measurement," Discussion Papers of DIW Berlin 1991, DIW Berlin, German Institute for Economic Research.
      • Christos Koulovatianos & Carsten Schröder, 2022. "Income-Dependent Equivalence Scales and Choice Theory: Implications for Poverty Measurement," SOEPpapers on Multidisciplinary Panel Data Research 1157, DIW Berlin, The German Socio-Economic Panel (SOEP).
      • Christos Koulovatianos & Carsten Schröder, 2023. "Income-dependent equivalence scales and choice theory: implications for poverty measurement," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 4, pages 39-49, Edward Elgar Publishing.
   3. Delis, Manthos D. & Dioikitopoulos, Evangelos V. & Ongena, Steven, 2023. "Population diversity and financial risk-taking," Journal of Banking & Finance, Elsevier, vol. 151(C).
      • Manthos D Delis & Evangelos V Dioikitopoulos & Steven Ongena, 2023. "Population Diversity and Financial Risk-Taking," Post-Print hal-04083169, HAL.
   4. Beeler, Lisa & Zablah, Alex R. & Rapp, Adam, 2022. "Ability is in the eye of the beholder: How context and individual factors shape consumer perceptions of digital assistant ability," Journal of Business Research, Elsevier, vol. 148(C), pages 33-46.
   5. Li, Jian & Koulovatianos, Christos, 2020. "The long shadows of war in China: Battle shocks in early life and health/wealth accumulation," China Economic Review, Elsevier, vol. 60(C).

2. Goldstein, Joshua R. & Koulovatianos, Christos & Li, Jian & Schröder, Carsten, 2017. "Evaluating how child allowances and daycare subsidies affect fertility," CFS Working Paper Series 568, Center for Financial Studies (CFS).

   Cited by:

   1. Beckmannshagen, Mattis & Schröder, Carsten, 2022. "Earnings inequality and working hours mismatch," Labour Economics, Elsevier, vol. 76(C).
   2. Jennifer Glass & Carolyn E. Waldrep, 2023. "Child Allowances and Work-Family Reconciliation Policies: What Best Reduces Child Poverty and Gender Inequality While Enabling Desired Fertility?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(5), pages 1-57, October.
   3. Kamila Ishchanova, 2022. "Home Alone: Exploring Childcare Options to Remove Barriers to Second Childbearing in Belarus," Social Inclusion, Cogitatio Press, vol. 10(3), pages 112-123.

3. Martin Gaynor & Jian Li & William B. Vogt, 2006. "Is Drug Coverage a Free Lunch? Cross-Price Elasticities and the Design of Prescription Drug Benefits," NBER Working Papers 12758, National Bureau of Economic Research, Inc.
   • Martin Gaynor & Jian Li & William B. Vogt, 2006. "Is Drug Coverage a Free Lunch? Cross-Price Elasticities and the Design of Prescription Drug Benefits," The Centre for Market and Public Organisation 07/166, The Centre for Market and Public Organisation, University of Bristol, UK.

   Cited by:

   1. Dana Goldman & Tomas Philipson, 2007. "Integrated Insurance Design in the Presence of Multiple Medical Technologies," NBER Working Papers 12870, National Bureau of Economic Research, Inc.
      • Tomas J. Philipson & Dana Goldman, 2007. "Integrated Insurance Design in the Presence of Multiple Medical Technologies," American Economic Review, American Economic Association, vol. 97(2), pages 427-432, May.
   2. Alan M. Garber & Jonathan Skinner, 2008. "Is American Health Care Uniquely Inefficient?," NBER Working Papers 14257, National Bureau of Economic Research, Inc.
   3. Alan M. Garber & Jonathan Skinner, 2008. "Is American Health Care Uniquely Inefficient?," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 27-50, Fall.
   4. Di Novi, Cinzia & Leporatti, Lucia & Levaggi, Rosella & Montefiori, Marcello, 2022. "Adherence during COVID-19: The role of aging and socio-economics status in shaping drug utilization," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 1-14.
   5. Cinzia Di Novi & Lucia Leporatti & Marcello Montefiori, 2020. "Older patients and geographic barriers to pharmacy access: When nonadherence translates to an increased use of other components of health care," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 97-109, October.
   6. Marianne Simonsen & Lars Skipper & Niels Skipper, 2010. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Economics Working Papers 2010-03, Department of Economics and Business Economics, Aarhus University.
      • Marianne Simonsen & Lars Skipper & Niels Skipper, 2016. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 320-337, March.
      • Simonsen, Marianne & Skipper, Lars & Skipper, Niels, 2010. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Working Papers 10-1, University of Aarhus, Aarhus School of Business, Department of Economics.
   7. Shi, Lijia & Chen, Xuqi & Gao, Zhifeng, 2013. "The Cross-Price Effect on Willingness-to-pay Estimates in Open-ended Contingent Valuation," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150774, Agricultural and Applied Economics Association.
      • Shi, Lijia & Gao, Zhifeng & Chen, Xuqi, 2014. "The cross-price effect on willingness-to-pay estimates in open-ended contingent valuation," Food Policy, Elsevier, vol. 46(C), pages 13-21.
   8. Gearhart Richard, 2019. "The Impact of Secondary Environmental Variables on OECD Healthcare Efficiency: A Robust Conditional Approach," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-16, April.

Articles

1. Li, Jian, 2022. "Financial risk-taking, religiosity and denomination heterogeneity," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 74-98.

   Cited by:

   1. Zuobao Wei & Yicheng Zhu, 2023. "Does religiosity improve analyst forecast accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 915-948, April.

2. Yao, Li & Li, Jun & Li, Jian, 2020. "Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

   Cited by:

   1. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
   2. Fischer, Bruno & Meissner, Dirk & Vonortas, Nicholas & Guerrero, Maribel, 2022. "Spatial features of entrepreneurial ecosystems," Journal of Business Research, Elsevier, vol. 147(C), pages 27-36.
   3. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
   4. Shiying Xu & Fuqiang Yang & Qian Yang & Binbin Chang & Kun Wang, 2024. "Drinking Poison to Quench Thirst: Local Government Land Financial Dependence and Urban Innovation Quality," Land, MDPI, vol. 13(4), pages 1-16, April.
   5. Mingming Guan & Siyu Wu & Chengliang Liu, 2022. "Comparing China’s urban aviation and innovation networks," Growth and Change, Wiley Blackwell, vol. 53(1), pages 470-486, March.
   6. Li, Fangye & Liu, Weiwei & Bi, Kexin, 2021. "Exploring and visualizing spatial-temporal evolution of patent collaboration networks: A case of China's intelligent manufacturing equipment industry," Technology in Society, Elsevier, vol. 64(C).
   7. Yu Zhang & Xi Cai & Yanying Mao & Liudan Jiao & Liu Wu, 2023. "What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective," Land, MDPI, vol. 12(8), pages 1-18, July.
   8. Feng, Zhijun & Cai, Hechang & Chen, Zinan & Zhou, Wen, 2022. "Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
   9. Yu, Liangliang & Cai, Yinying, 2021. "Do rising housing prices restrict urban innovation vitality? Evidence from 288 cities in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 276-288.
   10. Qin, Xionghe & Wang, Xueli & Kwan, Mei-Po, 2023. "The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
   11. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).

3. Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking," European Economic Review, Elsevier, vol. 129(C).
   • Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking?," CFS Working Paper Series 640, Center for Financial Studies (CFS).
   See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 7 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-MAC: Macroeconomics (4) 2018-01-08 2018-02-12 2018-12-24 2020-08-24
2. NEP-CNA: China (2) 2018-02-12 2018-12-24
3. NEP-LAB: Labour Economics (2) 2018-02-12 2018-12-24
4. NEP-TRA: Transition Economics (2) 2018-02-12 2018-12-24
5. NEP-BIG: Big Data (1) 2021-02-01
6. NEP-CMP: Computational Economics (1) 2021-02-01
7. NEP-DGE: Dynamic General Equilibrium (1) 2017-03-12
8. NEP-HEA: Health Economics (1) 2006-12-22
9. NEP-IAS: Insurance Economics (1) 2006-12-22
10. NEP-REG: Regulation (1) 2006-12-22
11. NEP-RMG: Risk Management (1) 2020-08-24
12. NEP-UPT: Utility Models and Prospect Theory (1) 2020-08-24

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