To investigate the development trend of revenue-expenditure structure of rural residents, revenue and expenditure data during thirty years of the reform and opening-up in China were collected. Linear regression was used to analyze the development trend, hierarchical cluster was conducted to reveal the distribution characteristics and hierarchical partitioning was innovatively used to quantify the relationship between revenue and expenditure. The results showed that revenue-expenditure structure of rural residents exhibited a four-step linear increasing trend during the thirty years, and adjusted R2 of linear regressions for each step were mostly above 0.9. Distribution characteristics of revenue and expenditure were similar, and the highest level both occurred in seven independent branches, including Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong and Fujian. Wage revenue and transferability-property revenue had become the main types of contributing revenue for expenditure structure of rural residents. They respectively explained 22.34%-41.59% and 41.35%-55.45% of variations in all types of expenditure. In conclusion, with characteristics of stages, unevenness, and a trend towards enjoyment type, revenue of Chinese rural residents had a similar development trend with that of expenditure and played an important role in changing expenditure structure. The findings from this study of 30 years’ long term development and methods used in this paper may provide a reference for further studies on rural economy structure and the exploration on the development of rural areas in China.
Key words
rural economy; development trend; revenue-expenditure structure; hierarchical partitioning;independent contribution; combined contribution
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 燕宏娟,李辉.改革开放30年中国农村居民消费结构演变分析[J].陇东学院学报,2009(4):132-134.
[2] Azam M, Shariff A. Income inequality in rural India: decomposing the Gini by income sources[J]. Economic Bulletin,2011,31(1):739-748.
[3] 林文炼.中国农村居民收支结构及趋势分析——基于2006—2010年全国农村居民收支分析[J].东方企业文化,2012(8):228.
[4] 周健.中国农村居民消费结构合理化探讨[J].农村经济,2003(5):25-27.
[5] 岑道权,汪占猛,赵明珠.对农村居民消费问题的思考——基于陕西陕南农村的调查分析[J].农村经济,2011(9):41-43.
[6] 李翔,朱玉春.受教育程度对农村居民消费结构影响研究[J].统计与决策,2013(12):112-114.
[7] 王志勇.我国农村居民收支结构回归模型比较分析[J].西安财经学院学,2012(5):83-87.
[8] 祝伟,汪晓文.中国省际间农村居民收入结构和收入差距分析[J].中国人口·资源与环境,2010(4):137-142.
[9] Walsh C J, Mac-Nally R. CRAN-Package hier.part[EB/OL]. http://cran.r-project.org/,2007-04-12.
[10] Heikkinen R K, Luoto M, Kuussaari M, et al. Newinsights into butterfly-environment relationships using partitioning methods [J]. Proceeding of Royal Society London B Biological Sciences,2005,272(1577):2203.
[11] Zhao J J, Chen S B, Wang H, et al. Quantifying the impacts of socio-economic factors on air quality in Chinese cities from 2000 to 2009[J]. Environmental Pollution,2012(167):148-54.
[12] Mac-Nally R. Multiple regression and inference in ecology and conservation biology: further comments on identifying important predictor variables[J]. Biodiversity Conservation,2002,11(8):1397-401.
[13] 陈刚,张卉.中国农村居民消费结构及其影响因素[J].广告大观:理论版,2010(2):7-16.
[14] 杨雪,于冷.投资视角下中国农村居民收入—消费结构实证分析[J].农业技术经济,2009(1):74-80.
[15] 于文超,虞洪.农村居民消费结构与收入类型的关系研究——基于中国省级面板数据的实证分析[J].农村经济,2013(3):88-90.
[16] 滕永乐,孙雪萍.中国农村居民消费结构分析——基于隐性直接相加需求系统的研究[J].江西财经大学学报,2013(3):85-93.
[17] 巩师恩.收入结构、消费结构与恩格尔定律:基于中国农村居民的实证研究[J].社会科学研究,2013(6):27-31.
[18] Davis B, Winters P, Carletto G, et al. A cross-country comparison of rural income generating activities[J]. World Development,2010,38(1):48-63.
[19] Filipski M, Taylor J E. A simulation impact evaluation of rural income transfers in Malawi and Ghana[J]. Journal of Development Effectiveness,2012,4(1):109-129.
[20] 范良.中国农村居民收入差异分析[D].福州:福建师范大学,2001:8-10.
[21] 郑震,罗述权.农村家庭收入结构对其消费行为的影响——基于1997—2008年中国四大地区的面板数据比较分析[J].财务与金融,2011(3):73-77.
[22] Khandker S R, Koolwal G B. How infrastructure and financial institutions affect rural income and poverty: evidence from Bangladesh[J]. The journal of development studies,2010,46(6):1109-1137.
{{custom_fnGroup.title_en}}
Footnotes
{{custom_fn.content}}
PDF(1535 KB)
