近期论文
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[1]Tang J*, Yang Z, Kee F and Congdon N (2023) Time and risk preferences and the perceived effectiveness of incentives to comply with diabetic retinopathy screening among older adults with type 2 diabetes. Frontiers in Psychology 14: 1101909.
[2]Smyth, L.J., Cruise, S.M., Tang, J.*, Young, I., McGuinness, B., Kee, F., McKnight, A.J. (2023) Differential methylation in CD44 and SEC23A is associated with time preference in older individuals. Economics & Human Biology 49: 101233.
[3]Tang, J., Liu, A., Qiu, H. (2023) Early warning, adaptation to extreme weather, and attenuation of economic losses: Empirical evidence from pastoral China. International Journal of Disaster Risk Reduction 86: 103563.
[4]Liu, H., Li, R., Zhang, Y., Zhang, K., Yusufu, M., Liu, Y., Mou, D., Chen, X., Tian, J., Li, H., Fan, S., Tang, J., Wang, N. (2023) Economic evaluation of combined population-based screening for multiple blindness-causing eye diseases in China: a cost-effectiveness analysis. Lancet Global Health 11(3): e456-465.
[5]Tang, J., Xin, M., Wang, X. (2022) Herdsmen's willingness to accept compensation for grazing ban compliance: Empirical evidence from pastoral China, Journal of Cleaner Production 361, 132102.
[6]Qiu, H., Su, L., Tang, J.*(2022) Effects of environmental regulation on rural livelihood diversification: Evidence from pastoral China. Journal of Rural Studies 95, 26-39.
[7]Tang, J., Xu, Y., Qiu, H.* (2022) Integration of migrants in poverty alleviation resettlement to urban China. Cities 120, 103501.
[8]Feng, X., Tang, J., Qiu, H.* (2022) The effect of grassland transfer on herders’ livestock production and grazing intensity in Inner Mongolia and Gansu, China. China Agricultural Economic Review 14(2), 242 - 258.
[9]Li.,R., Yang, Z., Zhang, Y., Bai, W., Du, Y., Sun, R., Tang, J.*, Wang, N.*, Liu, H.* (2022) Cost-effectiveness and cost-utility of traditional and telemedicine combined population-based age-related macular degeneration and diabetic retinopathy screening in rural and urban China. Lancet Regional Health – Western Pacific 23, 100435.
[10]Tang, J., Xu, Y., Ma, W., Gao, S.* (2021) Does participation in poverty alleviation programmes increase subjective well-being? Results from a survey of rural residents in Shanxi, China. Habitat International 118 (12), 102455.
[11] Su, L., Tang, J., Qiu, H. (2021) Intended and unintended environmental consequences of grassland rental in pastoral China. Journal of Environmental Management 285, 112126.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] Power, J.M., Tang, J. *, Kenny, R.A., Lawlor, B.A., Kee, F. (2020) Mediating the relationship between loneliness and cognitive function: the role of depressive and anxiety symptoms. Aging & Mental Health 24(7): 1071-1078.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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)
[28] 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.
[29] Tang, J. *, Folmer, H., Xue, J. (2016) Adoption of irrigation water-saving techniques in the Guanzhong Plain, China. Agricultural Economics 47(4): 445–455.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] 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.
[36] 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.
中文期刊论文
[1]唐建军,龚教伟,宋清华(2022)数字普惠金融与农业全要素生产率——基于要素流动与技术扩散的视角,中国农村经济,7,81-102.
[2] 苏柳方,仇焕广,唐建军*(2021)草场流转的转入地悲剧——来自876个草场地块的微观证据,中国农村经济,3,68-85.
[3] 高帅,丛建辉,唐建军*(2020)特困地区可持续减贫:理论逻辑与实践路径,上海财经大学学报,22(6),61-75.
[4] 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.
[5] 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.
[6] 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.