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Mi Lin

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First Name:Mi
Middle Name:
Last Name:Lin
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RePEc Short-ID:pli611
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Affiliation

Division of Business and Management
United International College - Bijing Normal University - Hong Kong Baptist University

Zhuhai, China
http://uic.edu.hk/en/dbm
RePEc:edi:dbuiccn (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Lin, Mi & Kwan, Yum K., 2014. "FDI Spatial Spillovers in China," MPRA Paper 60754, University Library of Munich, Germany.
  2. Lin, Mi & Kwan, Yum K., 2013. "FDI Technology Spillovers and Spatial Diffusion in the People’s Republic of China," Working Papers on Regional Economic Integration 120, Asian Development Bank.
  3. Wu, Alfred M. & Lin, Mi, 2010. "Determinants of government size: Evidence from China," MPRA Paper 27089, University Library of Munich, Germany.
  4. Lin, Mi & Kwan, Yum K., 2010. "Sectoral Location of FDI in China," MPRA Paper 27088, University Library of Munich, Germany.

Articles

  1. Lin, Mi & Kwan, Yum K., 2016. "FDI technology spillovers, geography, and spatial diffusion," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 257-274.
  2. Dang, Ha V. & Lin, Mi, 2016. "Herd mentality in the stock market: On the role of idiosyncratic participants with heterogeneous information," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 247-260.
  3. Alfred Wu & Mi Lin, 2012. "Determinants of government size: evidence from China," Public Choice, Springer, vol. 151(1), pages 255-270, April.
  4. Mi Lin & Yum K. Kwan, 2011. "Sectoral Location of FDI in China," The World Economy, Wiley Blackwell, vol. 34, pages 1181-1198, July.

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. Wu, Alfred M. & Lin, Mi, 2010. "Determinants of government size: Evidence from China," MPRA Paper 27089, University Library of Munich, Germany.

    Cited by:

    1. Nayak, Dinesh Kumar & Hazarika, Bhabesh, 2022. "Linkage between Income and Government Expenditure at Indian Sub-nationals: A Second Generation Panel Co-integration Techniques," Working Papers 22/374, National Institute of Public Finance and Policy.
    2. McCloud, Nadine & Delgado, Michael S. & Holmes, Chanit'a, 2018. "Does a stronger system of law and order constrain the effects of foreign direct investment on government size?," European Journal of Political Economy, Elsevier, vol. 55(C), pages 258-283.
    3. Wu, Alfred M. & Wang, Wen, 2013. "Determinants of Expenditure Decentralization: Evidence from China," World Development, Elsevier, vol. 46(C), pages 176-184.
    4. Samuel Kwabena Obeng, 2021. "Fiscal decentralization, democracy and government size: Disentangling the complexities," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(6), pages 975-1004, August.
    5. Pablo Casas & José L. Torres, 2024. "Government size and automation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 780-807, June.
    6. Chen, Yang & Regis, Paulo José, 2014. "Strategic interactions in corporate tax between Chinese local governments," RIEI Working Papers 2014-01, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration, revised 27 Oct 2015.
    7. Manuel Ja n-Garc a, 2017. "A Demand Determinants Model for Public Spending in Spain," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 372-386.
    8. Hassan Mohammadi & Rati Ram, 2015. "Economic Development and Government Spending: An Exploration of Wagner’s Hypothesis during Fifty Years of Growth in East Asia," Economies, MDPI, vol. 3(4), pages 1-11, October.
    9. Suzanna-Maria Paleologou, 2016. "The long-run tendency of government expenditure: a semi-parametric modelling approach," Empirical Economics, Springer, vol. 50(3), pages 753-776, May.
    10. Philipp Heimberger, 2021. "Does economic globalization affect government spending? A meta-analysis," Public Choice, Springer, vol. 187(3), pages 349-374, June.
    11. Tao Qian & Qi Zhang, 2017. "Fiscal Decentralization and Pattern of County Public Expenditures in a Chinese Province," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 201-226, May.
    12. Zhikuo Liu & Tao Qian & Qi Zhang, 2021. "Power Signaling and Intergovernmental Transfers: Evidence from the Distribution of Center‐to‐Province Earmarked Transfers in China," Social Science Quarterly, Southwestern Social Science Association, vol. 102(2), pages 683-705, March.
    13. Alfred M Wu, 2019. "The logic of basic education provision and public goods preferences in Chinese fiscal federalism," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    14. Wang, Zhiguo & Ma, Liang, 2012. "New Development of Fiscal Decentralization in China," MPRA Paper 36918, University Library of Munich, Germany.
    15. Zhiguo Wang & Liang Ma, 2014. "Fiscal Decentralization in China: A Literature Review," Annals of Economics and Finance, Society for AEF, vol. 15(1), pages 51-65, May.
    16. Xiao Tan, 2017. "Explaining provincial government health expenditures in China: evidence from panel data 2007–2013," China Finance and Economic Review, Springer, vol. 5(1), pages 1-21, December.
    17. Vida Varahrami & Arghavan Novin Vajari, 2019. "FDI, Government Budget and Efficiency of Public Infrastructure Capital," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(2), pages 148-158, December.
    18. Bilal KARGI, 2016. "Is Wagner’s law applicable for fast growing economies? BRICS and MATIK countries," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 9(1), pages 1-15, June.
    19. Mo Qiao & Siying Ding & Yongzheng Liu, 2018. "Fiscal Decentralization and Government Size: The Role of Democracy," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1818, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    20. Marcelo Capello & David Giuliodori & Lucía Iglesias, 2019. "Los determinantes del empleo público en las provincias argentinas," Asociación Argentina de Economía Política: Working Papers 4117, Asociación Argentina de Economía Política.
    21. Choudhury, Atrayee & Sahu, Sohini, 2022. "Revisiting the nexus between fiscal decentralization and government size - The role of ethnic fragmentation," European Journal of Political Economy, Elsevier, vol. 75(C).
    22. Jia, Junxue & Guo, Qingwang & Zhang, Jing, 2014. "Fiscal decentralization and local expenditure policy in China," China Economic Review, Elsevier, vol. 28(C), pages 107-122.
    23. Chien-Chiang Lee & Chi-Chuan Lee & Chun-Ping Chang, 2015. "Globalization, Economic Growth and Institutional Development in China," Global Economic Review, Taylor & Francis Journals, vol. 44(1), pages 31-63, March.
    24. Jean-Paul Faguet & Fabio Sánchez, 2009. "Decentralization and Access to Social Services in Colombia," Documentos CEDE 5401, Universidad de los Andes, Facultad de Economía, CEDE.
    25. Qurat ul Ain & Tahir Yousaf & Yan Jie & Yasmeen Akhtar, 2020. "The Impact of Devolution on Government Size and Provision of Social Services: Evi¬dence from Pakistan," Hacienda Pública Española / Review of Public Economics, IEF, vol. 234(3), pages 105-135, September.
    26. Nazlı KEYİFLİ & Sacit Hadi AKDEDE, 2020. "Political Polarization and Size of Government," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
    27. Adam A. Millsap & Bradley K. Hobbs & Dean Stansel, 2019. "Local Governments and Economic Freedom: A Test of the Leviathan Hypothesis," Public Finance Review, , vol. 47(3), pages 493-529, May.
    28. Brehm, Stefan, 2013. "Fiscal Incentives, Public Spending, and Productivity – County-Level Evidence from a Chinese Province," World Development, Elsevier, vol. 46(C), pages 92-103.
    29. Daehaeng Kim & Chul-In Lee, 2021. "Government Size, Trade Openness, and Intersectoral Income Fluctuation: An International Panel Analysis," Public Finance Review, , vol. 49(2), pages 294-332, March.
    30. Fedotenkov, Igor & Idrisov, Georgy, 2021. "A supply-demand model of public sector size," Economic Systems, Elsevier, vol. 45(2).

  2. Lin, Mi & Kwan, Yum K., 2010. "Sectoral Location of FDI in China," MPRA Paper 27088, University Library of Munich, Germany.

    Cited by:

    1. Raphael Chiappini & F. Viaud, 2021. "Macroeconomic, institutional, and sectoral determinants of outward foreign direct investment: Evidence from Japan," Post-Print hal-03407483, HAL.
    2. Mi Lin & Yum K. Kwan, "undated". "FDI Technology Spillovers, Geography, and Spatial Diffusion," GRU Working Paper Series GRU_2016_002, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. Salike, Nimesh, 2016. "Role of human capital on regional distribution of FDI in China: New evidences," China Economic Review, Elsevier, vol. 37(C), pages 66-84.
    4. Augusto Ninni & Ping Lv & Francesca Spigarelli & Pengqi Liu, 2020. "How home and host country industrial policies affect investment location choice? The case of Chinese investments in the EU solar and wind industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 531-557, December.

Articles

  1. Lin, Mi & Kwan, Yum K., 2016. "FDI technology spillovers, geography, and spatial diffusion," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 257-274.

    Cited by:

    1. Nicola Cortinovis & Riccardo Crescenzi & Frank van Oort, 2020. "Multinational enterprises, industrial relatedness and employment in European regions [Innovation: mapping the winds of creative destruction]," Journal of Economic Geography, Oxford University Press, vol. 20(5), pages 1165-1205.
    2. Xi, Xun & Xi, Baoxing & Miao, Chenglin & Yu, Rongjian & Xie, Jie & Xiang, Rong & Hu, Feng, 2022. "Factors influencing technological innovation efficiency in the Chinese video game industry: Applying the meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Feng, Wei & Li, Jiajia, 2021. "International technology spillovers and innovation quality: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 289-308.
    4. Vujanović, Nina & Stojčić, Nebojša & Hashi, Iraj, 2021. "FDI spillovers and firm productivity during crisis: Empirical evidence from transition economies," Economic Systems, Elsevier, vol. 45(2).
    5. Pushkarev, A. A., 2018. "Cluster analysis of regional innovation activity in Russia in 2010-2015," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 4(1), pages 10-17.
    6. Polyxeni, Kechagia & Theodore, Metaxas, 2019. "An empirical investigation of FDI inflows in developing economies: Terrorism as a determinant factor," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    7. Moralles, Herick Fernando & Moreno, Rosina, 2020. "FDI productivity spillovers and absorptive capacity in Brazilian firms: A threshold regression analysis," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 257-272.
    8. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).
    9. Stojčić, Nebojša & Aralica, Zoran & Anić, Ivan-Damir, 2019. "Spatio-temporal determinants of the structural and productive transformation of regions in Central and East European countries," Economic Systems, Elsevier, vol. 43(3).
    10. Xiuzhi He & Samiha Khan & Ilhan Ozturk & Muntasir Murshed, 2023. "The role of renewable energy investment in tackling climate change concerns: Environmental policies for achieving SDG‐13," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1888-1901, June.
    11. Hu, Feng & Xi, Xun & Zhang, Yueyue, 2021. "Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: An empirical examination of Chinese firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. Eristian Wibisono, 2023. "Foreign Direct Investment (FDI) Spillovers in Visegrad Countries," Papers in Evolutionary Economic Geography (PEEG) 2301, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2023.
    13. Pan, Yuling & Dong, Feng, 2022. "Dynamic evolution and driving factors of new energy development: Fresh evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Li, Guoxing & Yeh, Yin-Hua, 2023. "Western cultural influence on corporate innovation: Evidence from Chinese listed companies," Global Finance Journal, Elsevier, vol. 55(C).
    15. Giorgio Prodi & Francesco Nicolli & Federico Frattini, 2020. "Embeddedness and local patterns of innovation: evidence from Chinese prefectural cities," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1219-1242, September.
    16. Song, Young Chul & Son, Sung Hyun, 2020. "Identifying the impact of geographical proximity on spillover effect of FDI: The evidence from Indian local firms’ performance gains," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    17. Pan, Xiongfeng & Wang, Yuqing & Tian, Mengyuan & Feng, Shenghan & Ai, Bowei, 2023. "Spatio-temporal impulse effect of foreign direct investment on intra- and inter-regional carbon emissions," Energy, Elsevier, vol. 262(PA).
    18. Sajid Anwar & Sizhong Sun, 2019. "Firm heterogeneity and FDI-related productivity spillovers: A theoretical investigation," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 28(1), pages 1-10, January.

  2. Dang, Ha V. & Lin, Mi, 2016. "Herd mentality in the stock market: On the role of idiosyncratic participants with heterogeneous information," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 247-260.

    Cited by:

    1. Young‐Soo Choi & Svetlana Mira & Nicholas Taylor, 2022. "Local versus foreign analysts' forecast accuracy: does herding matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1143-1188, April.
    2. Indars, Edgars Rihards & Savin, Aliaksei & Lublóy, Ágnes, 2019. "Herding behaviour in an emerging market: Evidence from the Moscow Exchange," Corvinus Economics Working Papers (CEWP) 2019/01, Corvinus University of Budapest.
    3. Huo, Liang’an & Guo, Hongyuan & Cheng, Yingying & Xie, Xiaoxiao, 2020. "A new model for supply chain risk propagation considering herd mentality and risk preference under warning information on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    4. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    5. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Alhaj-Yaseen, Yaseen S. & Yau, Siu-Kong, 2018. "Herding tendency among investors with heterogeneous information: Evidence from China’s equity markets," Journal of Multinational Financial Management, Elsevier, vol. 47, pages 60-75.
    7. Yardley, Ben, 2020. "The Effects of Donald Trump’s Tweets on The Stock Exchange," MPRA Paper 102578, University Library of Munich, Germany.
    8. Imran Yousaf & Shoaib Ali & Elie Bouri & Anupam Dutta, 2021. "Herding on Fundamental/Nonfundamental Information During the COVID-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market," SAGE Open, , vol. 11(3), pages 21582440211, July.
    9. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    10. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    11. Singh, Bharati, 2021. "A Bibliometric Analysis of Behavioral Finance and Behavioral Accounting," American Business Review, Pompea College of Business, University of New Haven, vol. 24(2), pages 198-230, November.
    12. Mary Loxton & Robert Truskett & Brigitte Scarf & Laura Sindone & George Baldry & Yinong Zhao, 2020. "Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing," JRFM, MDPI, vol. 13(8), pages 1-21, July.
    13. Ramzi Benkraiem & Mondher Bouattour & Emilios Galariotis & Anthony Miloudi, 2021. "Do investors in SMEs herd? Evidence from French and UK equity markets," Small Business Economics, Springer, vol. 56(4), pages 1619-1637, April.
    14. Vo, Xuan Vinh & Phan, Dang Bao Anh, 2019. "Herding and equity market liquidity in emerging market. Evidence from Vietnam," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    15. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    16. Gong, Pu & Wen, Zhuzhu & Xiong, Xiong & Gong, Cynthia M., 2021. "When do investors gamble in the stock market?," International Review of Financial Analysis, Elsevier, vol. 74(C).
    17. Yao, Can-Zhong & Liu, Cheng & Ju, Wei-Jia, 2020. "Multifractal analysis of the WTI crude oil market, US stock market and EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    18. Vo, Xuan Vinh & Phan, Dang Bao Anh, 2019. "Herd behavior and idiosyncratic volatility in a frontier market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 321-330.
    19. Yaseen S. Alhaj-Yaseen & Dana Ladd, 2019. "Which sentiments do US investors follow when trading ADRs?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(3), pages 506-527, July.
    20. Ah Mand, Abdollah & Sifat, Imtiaz, 2021. "Static and regime-dependent herding behavior: An emerging market case study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    21. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    22. Shen, Na & Chen, Jiayi, 2023. "Asymmetric multifractal spectrum distribution based on detrending moving average cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    23. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    24. Manh-Tung Ho & Ngoc-Thang B. Le & Hung-Long D. Tran & Quoc-Hung Nguyen & Manh-Ha Pham & Minh-Hoang Ly & Manh-Toan Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2021. "A Systematic and Critical Review on the Research Landscape of Finance in Vietnam from 2008 to 2020," JRFM, MDPI, vol. 14(5), pages 1-24, May.
    25. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
    26. Syed Riaz Mahmood Ali, 2022. "Herding in different states and terms: evidence from the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 322-336, July.
    27. Zhen Li & Hongming Zhu & Qingfeng Meng & Changzhi Wu & Jianguo Du, 2019. "Manufacturers’ Green Decision Evolution Based on Multi-Agent Modeling," Complexity, Hindawi, vol. 2019, pages 1-14, April.

  3. Alfred Wu & Mi Lin, 2012. "Determinants of government size: evidence from China," Public Choice, Springer, vol. 151(1), pages 255-270, April.
    See citations under working paper version above.
  4. Mi Lin & Yum K. Kwan, 2011. "Sectoral Location of FDI in China," The World Economy, Wiley Blackwell, vol. 34, pages 1181-1198, July.
    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 4 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-TRA: Transition Economics (3) 2010-12-18 2010-12-18 2013-11-29
  2. NEP-CSE: Economics of Strategic Management (2) 2013-11-29 2015-11-01
  3. NEP-INT: International Trade (2) 2010-12-18 2013-11-29
  4. NEP-CNA: China (1) 2015-11-01
  5. NEP-DEV: Development (1) 2010-12-18
  6. NEP-GEO: Economic Geography (1) 2013-11-29
  7. NEP-PBE: Public Economics (1) 2010-12-18

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