唐建军
近期热点
资料介绍
个人简历
唐建军,现任中国人民大学任农业与农村发展学院副教授,受聘中国人民大学“杰出学者计划”青年学者B岗。2014年毕业于荷兰格罗宁根大学,获资源与环境经济学博士学位,师从欧洲环境与资源经济学家学会 (EAERE) 创始人和首届主席Henk Folmer教授。博士论文获得博士就读院校的Cum Laude(优等)称号,该称号只有5%的优秀博士毕业生可获得,并获得格罗宁根大学2014 年度最佳毕业论文提名,2015年度国际区域科学协会(Regional Science Association International)最佳学位论文提名。2014-2018年曾任英国女王大学土地、食品和环境研究中心/公共卫生研究中心博士后研究员。截止目前已经在英文学术期刊发表学术论文20篇,其中以第一作者身份在《Food Policy》、《Journal of Agricultural Economics》、《Agricultural Economics》、《Journal of Environmental Management》等知名农经和环境管理类期刊,在健康经济学领域研究成果以第一作者身份发表于《Lancet Global Health》、《International Journal of Obesity》、《BMC Public Health》等期刊。已发表论文影响因子总和超过70,总被引用200余次,H指数为 8。个人经历工作经历2019.09-至今,副教授,中国人民大学农业与农村发展学院2018.09-2019.08,讲师,中国人民大学农业与农村发展学院,入选中国人民大学引进人才 “杰出学者计划”青年学者B岗2014.10–2018.08,博士后研究员,土地、食品和环境研究中心/公共卫生研究中心,英国女王大学教育背景2014 经济学博士(优等,Cum Laude),荷兰格罗宁根大学(University of Groningen)经济地理系2010 农业经济管理,管理学硕士,西北农林科技大学经济管理学院2008 农林经济管理,管理学学士,西北农林科技大学经济管理学院所授课程本科:《经济学原理I》研究生:《应用计量经济学》科研项目2020-2023, 国家自然科学基金青年科学基金项目 – “干旱预警的风险抵御和节水效应研究:基于随机对照实验的实证分析”(项目批准号:71903192),主持人2020-2024, 国家自然科学基金重点项目 – “乡村振兴战略实施中政府与市场的关系及其协调研究”(项目批准号:71933004),主要参与人2019-2022, 国家自然科学基金青年科学基金项目 – “同群效应对贫困人群金融行为的影响机制研究:基于随机干预实验的实证分析”(项目批准号:71803150),主要参与人2019-2021, 中国人民大学新教师启动金项目 – “农村老年居民健康行为激励机制研究”(项目批准号:2019030080),主持人2015年6月–2016年7月,英国国家健康研究中心(NIHR) – “Behavioural economic field experiments among Physical Activity Loyalty Scheme participants” (Effectiveness and cost-effectiveness of a Physical Activity Loyalty Scheme to maintain behaviour change: A cluster randomised controlled trial (项目编号: PHR-12/211/82)), 研究经费: 11,290英镑,子课题主持人2015年3月–7月,英国女王大学科研启动经费 – “Time preference of elderly Chinese diabetic patients”, 研究经费: 6,360英镑,项目负责人奖励与荣誉2018年入选中国人民大学引进人才 “杰出学者计划”青年学者B岗2015年度国际区域科学协会(Regional Science Association International)最佳学位论文提名2014年格罗宁根大学年度最佳毕业论文提名教研成果Tang, J. (2014) Demand-oriented irrigation water management in northwestern China: Methodologies, empirics, institutions and policies. ISBN 978-90-367-6981-5.研究领域
农业经济学;资源环境经济学;健康经济学""近期论文
农业经济学、资源环境经济学领域论文[1] Qiu, H., Su, L., Feng, X., Tang, J.* 2020. Role of monitoring in environmental regulation: An empirical analysis of grazing restrictions in pastoral China. Environmental Science and Policy 114, 295-304.[2] Tang, J., Ren, H., Folmer, H. (2020) Subjective wellbeing as valuation system of environmental quality: an environmental social sciences approach. edited by Katrin, R., Maddison, D., Welsch, H. Handbook on wellbeing, happiness and the environment. chapter 5, 85-103.[3] Leng, C., Ma, W., Tang, J., Zhu, Z. (2020) ICT adoption and income diversification among rural households in China. Applied Economics 52(33), 3614-3628.[4] Wang, J., Yang, C., Ma, W., Tang, J.* (2020) Risk preference, trust, and willingness-to-accept subsidies for pro-environmental production: An investigation of hog farmers in China. Environmental Economics and Policy Studies 22, 405-431.[5] Liu, M., Dries, L., Huang, J., Min, S., Tang, J. * (2019) The impacts of the eco-environmental policy on grassland degradation and livestock production in Inner Mongolia, China: An empirical analysis based on the simultaneous equation model. Land Use Policy 88: 104167.[6] Ma, W., Renwick, A., Nie, P., Tang, J., Zhang, P. (2018) Off-farm work, smartphone use and household income: Evidence from rural China. China Economic Review 52, 80-94.[7] Tang, J. *, Folmer, H., Xue, J. (2015) Technical and allocative efficiency of irrigation water use in the Guanzhong Plain, China. Food Policy 50: 43–52.[8] Tang, J. *, Folmer, H., van der Vlist, A.J., Xue, J. (2014) The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China. Papers in Regional Science 93(2): 455–475.[9] Wang, J., Chu., M., Yang, C., Lam, H., Tang, J. (2018) Determinants of pesticide application: An empirical analysis with theory of planned behaviour. China Agricultural Economic Review 10(4), 608-625.[10] Tang, J. *, Folmer, H., Xue, J. (2016) Adoption of irrigation water-saving techniques in the Guanzhong Plain, China. Agricultural Economics 47(4): 445–455. [11] Tang, J. *, Folmer, H. (2016) Latent versus observed variables: Analysis of irrigation water efficiency using SEM and SUR. Journal of Agricultural Economics 67(1): 173–185.[12] Jiang, L., Folmer, H., Ji, M., Tang, J. (2016) Energy efficiency in the Chinese provinces: A fixed effects stochastic frontier-spatial Durbin error panel analysis. Annals of Regional Science 58(2): 301–319.[13] Tang, J. *, Folmer, H., Xue, J. (2013) Estimation of awareness and perception of water scarcity among farmers in the Guanzhong Plain, China, by means of a structural equation model. Journal of Environmental Management 126: 55–62.健康经济学领域论文[1] Murray, J.M., French, D.P., Kee, F., Gough, A., Tang, J., Hunter, R.F. (2020) Mechanisms of physical activity behavior change in an incentive-based intervention: Mediation analysis. Health Psychology 39(4), 281–297.[2] Murray, J.M., French, D.P., Patterson, C.C., Kee, F., Gough, A., Tang, J., Hunter, R.F. (2019) Predicting Outcomes from Engagement with Specific Components of an Internet-Based Physical Activity Intervention with Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 21(4): e11394.[3] Tang, J., Liang, Y. *, O'Neill, C., Kee, F., Jiang, J., Congdon, N. (2019) Cost-effectiveness and cost-utility of population-based glaucoma screening in China: a decision-analytic Markov model. Lancet Global Health 7(7), 968-978.[4] Hunter, R.F., Gough, A., Murray, J.M., Tang, J. et al. (2019). A loyalty scheme to encourage physical activity in office workers: a cluster RCT. Public Health Research, No. 7.15.[5] Power, J.M., Tang, J. *, Kenny, R.A., Lawlor, B.A., Kee, F. (2019) Mediating the relationship between loneliness and cognitive function: the role of depressive and anxiety symptoms. Aging & Mental Health. Forthcoming.[6] Tang, J. *, Chrzanowski-Smith, O.J., Hutchinson, G., Kee, F., Hunter, R.F. (2019) Relationship between monetary delay discounting and obesity: a systematic review and meta-regression. International Journal of Obesity 43, 1135-1146.[7] Hunter, R.F., Murray, J.M., Gough, A., Tang, J., Patterson, C.C., French, D.P., McIntosh, E., Xin, Y., Kee, F. (2018) Effectiveness and cost-effectiveness of a loyalty scheme for physical activity behaviour change maintenance: results from a cluster randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 15: 127.[8] Hunter, R.F.#, Tang, J.#, Hutchinson, G., Chilton, S., Holmes, D., Kee F. (2018) Association between time preference, present-bias and physical activity: implications for designing behavior change interventions. BMC Public Health 18: 1388. (#共同第一作者)[9] McHugh, P.J., Tang, J., Lawlor, B., Kenny, R.A., Kee, F. (2018). Mediators of the relationship between social activities and cognitive function among older Irish adults: results from the Irish longitudinal study on ageing. Aging & Mental Health 22(1), 129-134.[10] Reddy, P.A., Congdon, N., et al., Tang, J., et al. (2018) Effect of Providing Near Glasses on Productivity Among Presbyopic Rural Indian Tea Workers: the PROSPER (PROductivity Study of Presbyopia Elimination in Rural-dwellers) Randomised Controlled Trial. Lancet Global Health. 6(9): e1019-e1027.[11] Hunter R.F., Brennan S.F., Tang J., et al. (2016). Effectiveness and cost-effectiveness of a physical activity loyalty scheme for behaviour change maintenance: a cluster randomised controlled trial. BMC Public Health 16: 618.[12] Zhang, Y., van Dijk, T., Tang, J., van den Berg, A.E. (2015) Green space attachment and health: A comparative study in two urban neighborhoods. International Journal of Environmental Research and Public Health 12(11): 14342–14363. 中文期刊论文:[1] 高帅,史婵,唐建军*(2020)基于增能赋权视角的农户贫困脆弱性缓解研究——以太行山连片特困地区为例.中国农村观察,1, 61-75.[2] 仇焕广,苏柳方,张祎彤,唐建军*(2020)风险偏好、风险感知与农户保护性耕作技术采纳. 中国农村经济,7, 59-79.[3] 王建华,杨晨晨,唐建军*(2019)养殖户损失厌恶与病死猪处理行为——基于404家养殖户的现实考察.中国农村经济,4, 130-144. 相关热点
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