Passers‐by or Blessings? Have College Graduate Village Officials Fostered Neo‐Endogenous Rural Development?
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DOI: 10.1111/grow.70140
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- Ray Hudson, 2007. "Regions and Regional Uneven Development Forever? Some Reflective Comments upon Theory and Practice," Regional Studies, Taylor & Francis Journals, vol. 41(9), pages 1149-1160.
- Tong, De & Sun, Yiyu & Tang, Junqing & Luo, Zhenying & Lu, Jinfeng & Liu, Xuan, 2023. "Modeling the interaction of internal and external systems of rural settlements: The case of Guangdong, China," Land Use Policy, Elsevier, vol. 132(C).
- Mathias, Blake D. & Hutto, Haley & Williams, Trenton Alma, 2024. "Amish brain gain: Building thriving rural communities through a creation perspective toward work," Business Horizons, Elsevier, vol. 67(2), pages 147-160.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Haider, L. Jamila & Boonstra, Wiebren J. & Peterson, Garry D. & Schlüter, Maja, 2018. "Traps and Sustainable Development in Rural Areas: A Review," World Development, Elsevier, vol. 101(C), pages 311-321.
- Wen, Qi & Li, Jin & Ding, Jinmei & Wang, Jue, 2023. "Evolutionary process and mechanism of population hollowing out in rural villages in the farming-pastoral ecotone of Northern China: A case study of Yanchi County, Ningxia," Land Use Policy, Elsevier, vol. 125(C).
- Bernard, Tanguy & Collion, Marie-Hélène & de Janvry, Alain & Rondot, Pierre & Sadoulet, Elisabeth, 2008. "Do Village Organizations Make a Difference in African Rural Development? A Study for Senegal and Burkina Faso," World Development, Elsevier, vol. 36(11), pages 2188-2204, November.
- Guo, Yuanzhi & Liu, Yansui, 2021. "Poverty alleviation through land assetization and its implications for rural revitalization in China," Land Use Policy, Elsevier, vol. 105(C).
- Yang, Jui-Chung & Chuang, Hui-Ching & Kuan, Chung-Ming, 2020. "Double machine learning with gradient boosting and its application to the Big N audit quality effect," Journal of Econometrics, Elsevier, vol. 216(1), pages 268-283.
- Nishant Dass & Omesh Kini & Vikram Nanda & Bunyamin Onal & Jun Wang, 2014. "Board Expertise: Do Directors from Related Industries Help Bridge the Information Gap?," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1533-1592.
- Xiang Gao, 2017. "Promotion prospects and career paths of local party-government leaders in China," Journal of Chinese Governance, Taylor & Francis Journals, vol. 2(2), pages 223-234, April.
- Ruling Hong & Minlu Zhan & Fuxi Wang, 2023. "What determines the development of a rural collective economy? A fuzzy set qualitative comparative analysis (fsQCA) approach," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 15(3), pages 506-533, April.
- M. Rose Olfert & Mark D. Partridge, 2010. "Best Practices in Twenty‐First‐Century Rural Development and Policy," Growth and Change, Wiley Blackwell, vol. 41(2), pages 147-164, June.
- Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022.
"Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
- Hugo Bodory & Martin Huber & Luk'av{s} Laff'ers, 2020. "Evaluating (weighted) dynamic treatment effects by double machine learning," Papers 2012.00370, arXiv.org, revised Jun 2021.
- Mengjuan Zhang & Hongwei Shi & Leon Williams & Paul Lighterness & Mingxing Li & Asad Ullah Khan, 2023. "An Empirical Test of the Influence of Rural Leadership on the Willingness to Participate in Public Affairs from the Perspective of Leadership Identification," Agriculture, MDPI, vol. 13(10), pages 1-21, October.
- Dong, Jing & Xu, Wanyu & Cha, Jun, 2021. "Rural entrepreneurship and job creation: the hybrid identity of village-cadre-entrepreneurs," China Economic Review, Elsevier, vol. 70(C).
- Lv, Yahui & Zhang, Siqi & Li, Hanyue & Wang, Shitong, 2025. "Coupling analysis of rural revitalization and talent development in disadvantaged counties in China," Finance Research Letters, Elsevier, vol. 82(C).
- Guojun He & Shaoda Wang, 2017.
"Do College Graduates Serving as Village Officials Help Rural China?,"
American Economic Journal: Applied Economics, American Economic Association, vol. 9(4), pages 186-215, October.
- Guojun He & Shaoda Wang, 2016. "Do College Graduates Serving as Village Officials Help Rural China?," HKUST IEMS Working Paper Series 2016-39, HKUST Institute for Emerging Market Studies, revised Nov 2016.
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