Please wait a minute...
Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (5): 52-61    DOI: 10.11925/infotech.2096-3467.2017.05.07
Orginal Article Current Issue | Archive | Adv Search |
Information Consumption of Urban Chinese Residents: An Empirical Study Based on Dynamic Spatial Durbin Panel Model
Zhang Su()
(School of Economics and Management, Tongji University, Shanghai 200092, China)
(School of Economics and Management, Zhongyuan University of Technology, Zhengzhou 450007, China)
Download: PDF (648 KB)   HTML ( 1
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper analyzes the factors influencing information consumption, aiming to further promote such activities among urban Chinese residents. [Methods] First, we studied the development condition, spatial correlation and three types of internal and external influencing factors. Then, we constructed the corresponding Dynamic Spatial Durbin Panel Model and conducted an empirical study. [Results] The information consumption had the durable features but posed no spillover effects. The urban residents’ consumption could also affect the adjoining region residents’ behaviors. The increasing of price and income promoted the information consumption in short term. The improvement of education and information infrastructure posed spatial spillover effects to adjoining residents. In the long term, only the price and income had impacts on local residents. [Limitations] We only examined the impacts of the price, education level, information infrastructure, number of cyber citizen, and income. Other factors might also affect the results. [Conclusions] We must study the residents’ information consumption behaviors based on all spatial spillovers to avoid biased results.

Key wordsInformation Consumption      Spatial Correlation      Internal Influence      External Influence      Dynamic Spatial Durbin Panel Model     
Received: 15 February 2017      Published: 06 June 2017
ZTFLH:  F49 G35  

Cite this article:

Zhang Su. Information Consumption of Urban Chinese Residents: An Empirical Study Based on Dynamic Spatial Durbin Panel Model. Data Analysis and Knowledge Discovery, 2017, 1(5): 52-61.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.05.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I5/52

年份 Moran’s I 年份 Moran’s I
2002 0.137(0.057) 2008 0.325(0.001)
2003 0.151(0.042) 2009 0.330(0.001)
2004 0.163(0.036) 2010 0.312(0.001)
2005 0.184(0.025) 2011 0.346(0.000)
2006 0.248(0.005) 2012 0.336(0.001)
2007 0.290(0.002) 2013 0.341(0.000)
检验方法 结果
个体固定效应LR检验 399.9098(0.0000)
时间固定效应LR检验 104.9339(0.0000)
lmlag 5.1182(0.024)
lmlag_robust 0.0027(0.958)
lmerror 10.9857(0.001)
lmerror_robust 5.8702(0.015)
回归模型 空间和时间
固定效应模型
空间和时间
固定效应模型(偏差修正)
空间和时间
随机效应模型
动态空间杜宾模型
L. lnCZXF 0.4712(10.4168)***
W* L. lnCZXF 0.1887(2.3141)**
lnCZJG 1.06434(4.4578)*** 1.0848(4.2981)*** 1.0965(4.5556)*** 0.7646(3.4579)***
lnSJYSR -0.1046(-1.5962) -0.1077(-1.5542) -0.0398(-0.6349) -0.0396(-0.8667)
lnCTGL -0.0663(-3.9969)*** -0.0659(-3.7555)*** -0.0522(-3.6276)*** -0.0613(-4.1539)***
lnWMRS 0.0038(0.2124) 0.0038(0.2022) 0.0319(2.2737)** 0.0402(2.0903)**
lnCZSR 1.6516(20.2361) *** 1.6531(19.1488)*** 1.4574(22.7761)*** 1.1439(13.5611)***
W* lnCZJG -1.5298(-3.6136)*** -1.5614(-3.4889)*** -1.7939(-4.2502)*** -0.2362(-0.9285)
W* lnSJYSR 0.2964(2.1015)** 0.2988(2.0029)** 0.1601(1.1936) 0.1625(1.2939)
W* lnCTGL -0.0097(-0.2577) -0.0043(-0.1070) 0.0186(0.5578) 0.0601(1.5057)
W* lnWMRS 0.0254(0.7066) 0.0246(0.6471) -0.0728(-2.8898)*** 0.0263(0.6973)
W* lnCZSR -0.3943(-2.3268)** -0.5033(-2.9218)** -0.5752(-4.1326)*** -0.6938(-3.5374)***
W* lnCZXF 0.2100(3.1297)*** 0.2757(4.2727)*** 0.2560(3.9668)*** 0.1047(1.1838)
R2 0.9830 0.9831 0.9689 0.9878
LogL 572.0496 572.0496 -8441.0843 591.1580
Wald_spatial_lag 22.5950(0.0004) 23.6893(0.0003)
LR_spatial_lag 22.0533(0.0005) 22.0533(0.0005)
Wald_spatial_error 15.9661(0.0069) 13.4830(0.0192)
LR_spatial_error 15.4240(0.0087) 15.4240(0.0087)
$\tau +\rho +\eta $ 0.7646
Wald_test $\tau +\rho +\eta $=1 7.2460(0.0071)
时间效应检验 3.3850(0.0003)
直接效应 间接效应 总效应
L. lnCZXF -0.5237
(-13.3628)***
0.2612
(3.0806)***
-0.2625
(-2.8708)***
短期效应 长期效应
直接效应 间接效应 总效应 直接效应 间接效应 总效应
lnCZJG 0.7543(3.1676)*** 0.0276(0.3319) 0.7818(2.8301)*** 1.5833(1.9698)** 2.2604(0.1583) 3.8438(0.2592)
lnSJYSR -0.0405(-0.6691) 0.0389(1.7555)* -0.0015(-0.0220) -0.0738(-0.5347) 0.0088(0.0063) -0.0650(-0.0441)
lnCTGL -0.0322(-1.1729) 1.2592(8.4663)*** 1.2270(7.3295)*** 0.3030(0.3792) 5.5197(0.2847) 5.8227(0.2901)
lnWMRS 0.0331(1.4241) -0.2685(-0.5321) -0.2353(-0.4567) 0.0058(0.0111) -1.0672(-0.1008) -1.0614(-0.0965)
lnCZSR 1.1548(12.1742)*** 0.3256(1.6222) 1.4804(5.9462)*** 2.5013(2.5622)** 4.4877(0.2062) 6.9890(0.3103)
[1] 中华人民共和国国务院办公厅. 国务院关于促进信息消费扩大内需的若干意见[M]. 北京: 人民出版社, 2013.
[1] (General Office of the State Council of the People’s Republic of China. Some Suggestions About Promoting Information Consumption and Expand Domestic Demand Put Forward by the State Council [M]. Beijing: The Peoples’ Press, 2013. )
[2] Naik N Y, Moore M J.Habit Formation and Intertemporal Substitution in Individual Food Consumption[J]. The Review of Economics and Statistics, 1996, 78(2): 321-328.
doi: 10.2307/2109934
[3] Dynan K E.Habit Formation in Consumer Preferences: Evidence from Panel Data[J]. The American Economic Review, 2000, 90(3): 391-406.
doi: 10.1257/aer.90.3.391
[4] Guariglia A, Rossi M. Consumption, Habit Formation,Precautionary Saving: Evidence from British Household Panel Survey[J]. Oxford Economic Papers, 2002, 54(1): 1-19.
doi: 10.1093/oep/54.1.1
[5] Angelini V.Consumption and Habit Formation When Time Horizon is Finite[J]. Economics Letters, 2009, 103(2): 113-116.
doi: 10.1016/j.econlet.2009.02.007
[6] Alessie R, Teppa F.Saving and Habit Formation: Evidence from Dutch Panel Data[J]. Empirical Economics, 2010, 38(2): 385-407.
doi: 10.1007/s00181-009-0272-z
[7] 艾春荣, 汪伟. 习惯偏好下的中国居民消费的过度敏感性——基于1995-2005年省际动态面板数据的分[J]. 数量经济技术经济研究, 2008(11): 98-114.
doi: 10.1016/S1002-0721(08)60105-2
[7] (Ai Chunrong, Wang Wei.A Sensitivity Analysis of Chinese Household Consumption with Habit Formation[J]. The Journal of Quantity Economics and Technology Economics, 2008 (11): 98-114. )
doi: 10.1016/S1002-0721(08)60105-2
[8] 杭斌. 习惯形成下的农户缓冲储备行为[J]. 经济研究, 2009(1): 96-105.
[8] (Hang Bin.Rural Households’ Buffer-Stock Saving with Habit Formation[J]. Economic Research Journal, 2009(1): 96-105. )
[9] 杭斌, 郭香俊. 基于习惯形成的预防性储蓄——中国城镇居民消费行为的实证分析[J]. 统计研究, 2009, 26(3): 38-43.
doi: 10.3969/j.issn.1002-4565.2009.03.006
[9] (Hang Bin, Guo Xiangjun.Precautionary Saving Under Habit Formation: An Empirical Study of Chinese Urban Population Consumption Behavior[J]. Statistical Research, 2009, 26(3): 38-43. )
doi: 10.3969/j.issn.1002-4565.2009.03.006
[10] 闫新华, 杭斌. 内、外部习惯形成及居民消费结构——基于中国农村居民的实证研究[J]. 统计研究, 2010, 27(5): 32-40.
doi: 10.3969/j.issn.1002-4565.2010.05.005
[10] (Yan Xinhua, Hang Bin.Internal and External Habit Formation with Household Consumption Structure: An Empirical Study Based on Chinese Rural Household[J]. Statistical Research, 2010, 27(5): 32-40. )
doi: 10.3969/j.issn.1002-4565.2010.05.005
[11] 贾男, 张亮亮, 甘犁. 不确定性下农村家庭食品消费的“习惯形成”检验[J]. 经济学(季刊), 2011, 11(1): 327-348.
[11] (Jia Nan, Zhang Liangliang, Gan Li.A Test of Habit Formation in Food Consumption with Uncertainty in Rural Households: An Investigation Using Micro Panel Data[J]. China Economic Quarterly, 2011, 11(1): 327-348. )
[12] 崔海燕, 范纪珍. 内部和外部习惯形成与中国农村居民消费行为——基于省级动态面板数据的实证分析[J]. 中国农村经济, 2011(7): 54-61.
[12] (Cui Haiyan, Fan Jizhen.Internal and External Habit Formation with Consumption Behavior of Chinese Rural Households: An Empirical Study Based on the Provincial Lever Dynamic Panel Data[J]. Chinese Rural Economics, 2011(7): 54-61.)
[13] 崔海燕, 范纪珍. 习惯形成与中国城镇居民信息消费行为——基于省级动态面板数据的实证分析[J]. 情报科学, 2012, 30(5): 657-661.
[13] (Cui Haiyan, Fan Jizhen.Habit Formation and Information Consumption Behavior of Urban Households in China - An Empirical Study Based on the Provincial Lever Dynamic Panel Data Model[J]. Information Science, 2012, 30(5): 657-661.)
[14] 崔海燕. 习惯形成对我国农村居民信息消费的影响[J]. 情报科学, 2014, 32(3): 76-80.
[14] (Cui Haiyan.An Empirical Study of Habit Formation Influence Rural Residents’ Information Consumption in China[J]. Information Science, 2014, 32(3): 76-80. )
[15] 苏方林, 李臣, 张瑞. 省域城镇居民消费面板数据的空间计量分析[J]. 湖南财政经济学院学报, 2011, 27(6): 48-53.
doi: 10.3969/j.issn.2095-1361.2011.06.010
[15] (Su Fanglin, Li Chen, Zhang Rui.A Spatial Study on the Panel-Data of Consumption of Provincial Urban Residents[J]. Journal of Hunan Finance and Economics University, 2011, 27(6): 48-53. )
doi: 10.3969/j.issn.2095-1361.2011.06.010
[16] 焦志伦. 中国城市消费的空间分布与空间相关关系研究[J]. 经济地理, 2013, 33(7): 41-46.
[16] (Jiao Zhilun.Spatial Distribution and Dependence of City Consumption in China[J]. Economic Geography, 2013, 33(7): 41-46. )
[17] 曹景林, 郭亚帆. 我国农村居民消费行为的外部习惯形成特征——基于城镇化背景下的空间面板数据模型研究[J]. 现代财经(天津财经大学学报), 2013(11): 73-82.
[17] (Cao Jinglin, Guo Yafan.The External Habit Formation of Rural Residents’ Study on Spatial Panel Data Model in the Course of Urbanization[J]. Modern Finance and Economics-Journal of Tianjin University of Finance and Economics, 2013 (11): 73-82. )
[18] 陈燕武, 邓兴磊. 我国城乡居民信息消费比较研究[J]. 华侨大学学报: 哲学社会科学版, 2016(1): 48-55.
[18] (Chen Yanwu, Deng Xinglei.A Comparative Study of Information Consumption of Urban and Rural Residents in China[J]. Journal of Huaqiao University: Philosophy & Social Sciences, 2016(1): 48-55. )
[19] 沈小玲. 我国城镇居民信息消费问题研究[M]. 北京: 人民出版社, 2013.
[19] (Shen Xiaoling.Study on the Information Consumption of Urban Residents in China [M]. Beijing: The Peoples’ Press, 2013. )
[20] 任兴洲, 王微, 王青, 等. 新时期我国消费新增长点研究[M]. 北京: 中国发展出版社, 2014.
[20] (Ren Xingzhou, Wang Wei, Wang Qing, et al.China’s New Growth Sources of Consumption in the New Era [M]. Beijing: China Development Press, 2013. )
[21] 尹世杰. 消费经济学[M]. 北京:高等教育出版社, 2003.
[21] (Yin Shijie.Consumption Economics [M]. Beijing: Higher Education Press, 2003. )
[22] LeSage J P, Pace R K. Introduction to Spatial Econometrics [M]. Boca Raton: CRC Press Taylor& Francis Group, 2009.
[23] 陈强. 高级计量经济学及Stata应用[M]. 第2版.北京: 高等教育出版社, 2014.
[23] (Chen Qiang.Advanced Econometrics and Stata Application [M]. The 2nd Edition. Beijing: Higher Education Press, 2014.)
[24] Deaton A.Understanding Consumption[M]. Oxford: Oxford University Press, 1992.
[25] Lee L F, Yu J H.A Spatial Dynamic Panel Data Model with Both Time and Individual Fixed Effects[J]. Econometric Theory, 2010, 26(2): 564-597.
doi: 10.1017/S0266466609100099
[26] Yu J H, Jong R D, Lee L F.Estimation for Spatial Dynamic Panel Data with Fixed Effects: The Case of Spatial Cointegration[J]. Journal of Econometrics, 2012, 167(1): 16-37.
doi: 10.1016/j.jeconom.2011.05.014
[27] Elhorst J P, Zandberg E, Haan J D.The Impact of Interaction Effects among Neighbouring Countries on Financial Liberalization and Reform: A Dynamic Spatial Panel Data Approach[J]. Spatial Economic Analysis, 2013, 8(3): 293-313.
doi: 10.1080/17421772.2012.760136
No related articles found!
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn