Journal of Resources and Ecology ›› 2020, Vol. 11 ›› Issue (4): 366-377.DOI: 10.5814/j.issn.1674-764x.2020.04.005
• Resource Economics and Resource Evaluation • Previous Articles Next Articles
SHANG Xiaowen1,2, CHEN Yufu1,2,*()
Received:
2019-12-30
Accepted:
2020-03-20
Online:
2020-07-30
Published:
2020-09-30
Contact:
CHEN Yufu
Supported by:
SHANG Xiaowen, CHEN Yufu. Rural Poverty Patterns and Influencing Factors in Yunnan Province, China: Based on County Level Dataset[J]. Journal of Resources and Ecology, 2020, 11(4): 366-377.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2020.04.005
Variables | Index (unit) | Variables | Index (unit) |
---|---|---|---|
X1 | The value-added of primary industry (Ⅹ104 yuan) | X8 | Per capita GDP (yuan person-1) |
X2 | Total power of agricultural machinery (Ⅹ104 kW) | X9 | Staff average wages (Ⅹ104 yuan person-1) |
X3 | The number of units of an industrial enterprise above a designated size (number) | X10 | Budgetary revenue from local public finances (Ⅹ108 yuan) |
X4 | Gross industrial output value above a designated size (Ⅹ104 yuan) | X11 | Budgetary revenue from local public finances per capita (yuan person-1) |
X5 | Fixed asset investment (Ⅹ108 yuan) | X12 | Total retail sales of consumer goods (Ⅹ108 yuan) |
X6 | The number of beds in medical and health institutions (number) | X13 | Household savings at the end of a year (Ⅹ108 yuan) |
X7 | GDP (Ⅹ104 yuan) | X14 | Annual per capita net income of rural residents (yuan person-1) |
Table 1 The socio-economic development indicators affecting rural poverty at the county level
Variables | Index (unit) | Variables | Index (unit) |
---|---|---|---|
X1 | The value-added of primary industry (Ⅹ104 yuan) | X8 | Per capita GDP (yuan person-1) |
X2 | Total power of agricultural machinery (Ⅹ104 kW) | X9 | Staff average wages (Ⅹ104 yuan person-1) |
X3 | The number of units of an industrial enterprise above a designated size (number) | X10 | Budgetary revenue from local public finances (Ⅹ108 yuan) |
X4 | Gross industrial output value above a designated size (Ⅹ104 yuan) | X11 | Budgetary revenue from local public finances per capita (yuan person-1) |
X5 | Fixed asset investment (Ⅹ108 yuan) | X12 | Total retail sales of consumer goods (Ⅹ108 yuan) |
X6 | The number of beds in medical and health institutions (number) | X13 | Household savings at the end of a year (Ⅹ108 yuan) |
X7 | GDP (Ⅹ104 yuan) | X14 | Annual per capita net income of rural residents (yuan person-1) |
Fig. 2 The spatial patterns of rural poverty incidence at the county level in Yunnan Province in 2010 and 2015, elevation and the four concentrated contiguous areas Note: (a) and (b) were drawn by the author according to the poverty incidence in Yunnan Province in the “Yunnan Survey Yearbook”; (c) is derived from Resources and Environment Science Data Center (http://www.resdc.cn/Default.aspx) of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; and (d) is compiled and drawn according to the instructions on releasing “the List of Counties in Contiguous Poverty-stricken Areas Nationwide” issued by the leading group office of poverty alleviation and development under the state council. The names of the prefecture-level cities and their abbreviations are also marked the above figures.
Decreasing amplitude (%) | Number | Number of poverty- stricken counties at the national level | Number of counties in Wumeng Mountain | Number of counties in the Tibetan areas in four provinces | Number of counties in the western Yunnan border mountain areas | Number of counties in Yunnan-Guangxi-Guizhou rocky desertification area |
---|---|---|---|---|---|---|
50-60 | 13 | 9 | 4 | 1 | 1 | 3 |
60-70 | 44 | 30 | 10 | 2 | 12 | 7 |
70-80 | 53 | 32 | 1 | 39 | 1 | |
80-90 | 5 | 1 | 3 | |||
90-100 | 5 |
Table 2 The decreasing amplitude of rural poverty incidence and the numbers of counties from 2010 to 2015
Decreasing amplitude (%) | Number | Number of poverty- stricken counties at the national level | Number of counties in Wumeng Mountain | Number of counties in the Tibetan areas in four provinces | Number of counties in the western Yunnan border mountain areas | Number of counties in Yunnan-Guangxi-Guizhou rocky desertification area |
---|---|---|---|---|---|---|
50-60 | 13 | 9 | 4 | 1 | 1 | 3 |
60-70 | 44 | 30 | 10 | 2 | 12 | 7 |
70-80 | 53 | 32 | 1 | 39 | 1 | |
80-90 | 5 | 1 | 3 | |||
90-100 | 5 |
Fig. 3 The distribution diagram of the decreasing amplitude of rural poverty incidence and state poverty counties in Yunnan Province from 2010 to 2015 Note: b was drawn based on “the List of Key Counties in Poverty Alleviation and Development” issued by the leading group office of poverty alleviation and development under the state council in 2012.
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -47.381 | 6.743 | -7.027 | 0.000 | |
X14 | 89.943 | 8.636 | 0.639 | 10.415 | 0.000 |
X2 | 41.589 | 9.082 | 0.281 | 4.579 | 0.000 |
Note: The dependent variable is Pi2010. |
Table 3 The stepwise regression results for the incidence of rural poverty at the county level and influencing factors in Yunnan Province in 2010
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -47.381 | 6.743 | -7.027 | 0.000 | |
X14 | 89.943 | 8.636 | 0.639 | 10.415 | 0.000 |
X2 | 41.589 | 9.082 | 0.281 | 4.579 | 0.000 |
Note: The dependent variable is Pi2010. |
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -16.347 | 2.810 | -5.817 | 0.000 | |
X14 | 32.811 | 3.889 | 0.581 | 8.437 | 0.000 |
X2 | 13.155 | 3.454 | 0.262 | 3.808 | 0.000 |
Note: The dependent variable is Pi2015. |
Table 4 The stepwise regression results for the incidence of rural poverty at the county level and influencing factors in Yunnan Province in 2015
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -16.347 | 2.810 | -5.817 | 0.000 | |
X14 | 32.811 | 3.889 | 0.581 | 8.437 | 0.000 |
X2 | 13.155 | 3.454 | 0.262 | 3.808 | 0.000 |
Note: The dependent variable is Pi2015. |
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -0.445 | 0.049 | -9.086 | 0.000 | |
RX1 | 1.003 | 0.361 | 0.0246 | 2.779 | 0.006 |
RX2 | 0.853 | 0.318 | 0.0238 | 2.686 | 0.008 |
Note: The dependent variable is RCi. |
Table 5 The stepwise regression results of the rate of change of rural poverty incidence at the county level and influencing factors in Yunnan Province from 2010 to 2015
Model variable | Unstandardized coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. error | Beta | |||
Constant | -0.445 | 0.049 | -9.086 | 0.000 | |
RX1 | 1.003 | 0.361 | 0.0246 | 2.779 | 0.006 |
RX2 | 0.853 | 0.318 | 0.0238 | 2.686 | 0.008 |
Note: The dependent variable is RCi. |
1 | Arouri M, Youssef A B, Nguyen C . 2017. Does urbanization reduce rural poverty? Evidence from Vietnam. Economic Modelling, 60:253-270. |
2 | Alkire S, Foster J . 2011. Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7-8):476-487. |
3 | Andreas K, André K . 2019. Social networks and coping with poverty in rural areas. Sociologia Ruralis, 59(3):447-473. |
4 | Awan M S, Waqas M, Aslam M A . 2011. Multidimensional poverty in Pakistan: Case of Punjab Province. Economic Behavior Studies, 3:133-144. |
5 | Bird K, Shepherd A . 2003. Livelihoods and chronic poverty in semiarid Zimbabwe. World Development, 31(3):591-610. |
6 | Cao X S, Ren Z H, Huang X Y . 2014. Local features and influence factors of rural poverty in the economic developed area: A case study of Lianzhou, Guangdong Province. Areal Research and Development, 33(2):34-40. (in Chinese) |
7 | Chen Y F, Liu Y, Li Y R . 2019. Agricultural development status and industrial prosperity path under the background of rural revitalization in China. Geographical Research, 38(3):632-642. (in Chinese) |
8 | Chen Y F, Wang Y H, Zhao W J , et al. 2017. Contributing factors and classification of poor villages in China. Acta Geographica Sinica, 72(10):1827-1844. (in Chinese) |
9 | Dhruba B G C, Cheng S K, Bhandari J , et al. 2015. Multidimensional poverty in Bajhang district of Nepal. Pakistan Journal of Agricultural Sciences. 52(4):1131-1137. |
10 | Ding J J, Leng Z M . 2018. Regional poverty analysis in a view of geography science. Acta Geographica Sinica, 73(2):232-247. (in Chinese) |
11 | Duclos J Y, Sahn D E, Younger S D . 2006. Robust multidimensional poverty comparisons. Economic Development & Cultural Change, 116:943-968. |
12 | Fransman T, Yu D . 2019. Multidimensional poverty in South Africa in 2001-16. Development Southern Africa, 36(1):50-79. |
13 | Guriev S, Vakulenko E . 2015. Breaking out of poverty traps: Internal migration and interregional convergence in Russia. Journal of Comparative Economics, 43:633-649. |
14 | Household Survey Department of National Bureau of Statistics. 2018. Poverty monitoring report of rural China(2017) . Beijing: China Statistics Press (in Chinese) China Statistics Press. (in Chinese) |
15 | Imai K S, Gaiha R, Thapa G . 2015. Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India. Journal of Asian Economics, 36:47-61. |
16 | Jiang W G, Deng Y, Tang Z H , et al. 2016. Adaptive capacity of mountainous rural communities under restructuring to geological disasters: The case of Yunnan Province. Journal of Rural Studies, 47:622-629. |
17 | Josef B . 2019. Where have all the rural poor gone? Explaining the rural-urban poverty gap in European countries. Sociologia Ruralis, 59(3):369-392. |
18 |
Kraay A, Raddatz C . 2007. Poverty traps, aid, and growth. Journal of Development Economics, 82:315-347.
DOI URL |
19 | Li Y R, Cao Z, Zheng X Y , et al. 2016. Regional and sustainable approach for target-poverty alleviation and development of China. Bulletin of Chinese Academy of Sciences, 31(3):279-288. (in Chinese) |
20 | Liu H . 2016. Study on implementation of targeted poverty alleviation and regional coordinated development. Bulletin of Chinese Academy of Sciences, 31(3):320-327. (in Chinese) |
21 | Liu X P, Su S L, Wang Y J , et al. 2014. The index system of spatial poverty of village level to monitor in concentrated contiguous areas with particular difficulties. Scientia Geographica Sinica, 34(4):447-453. (in Chinese) |
22 | Liu Y S, Liu J L, Zhou Y . 2017. Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. Journal of Rural Studies, 52:66-75. |
23 | Liu Y S, Zhou Y, Liu J L . 2016. Regional differentiation characteristics of rural poverty and targeted poverty alleviation strategy in China. Bulletin of Chinese Academy of Sciences, 31(3):269-278. (in Chinese) |
24 | Luo Q, Fan X S, Gao G D , et al. 2016. Spatial distribution of poverty village and influencing factors in Qinba Mountains. Economic Geography, 36(4):126-132. (in Chinese) |
25 | Lv S F . 2006. Cause analysis and measures of special poverty in Yunnan. Academic Exploration, ( 5):38-44. (in Chinese) |
26 | Mao H Y . 1991. Study on coordinating development of economic, social growth with population, resources and environment at county level. Acta Geographica Sinica, 46(4):385-395. (in Chinese) |
27 | Murayama Y, Thapa R B . 2011. Spatial analysis and modeling in geographical transformation process: GIS-based applications. Berlin, Germany: Springer. |
28 | National Bureau of Statistics of the People’s Republic of China. 2013. China statistical yearbook. Beijing: China Statistics Press. |
29 | Olivia S, Gibson J, Rozelle S , et al. 2011. Mapping poverty in rural China: How much does the environment matter? Environment and Development Economics, 16:129-153. |
30 | Ou H Y, Huang G Y . 2015. An empirical analysis of natural geography environment and poverty effect: from the perspective of space poverty theory. Journal of Anhui Agricultural University (Social Sciences Edition), 24(1):13-19. (in Chinese) |
31 | Padda I U H, Hameed A . 2018. Estimating multidimensional poverty levels in rural Pakistan: A contribution to sustainable development policies. Journal of Cleaner Production, 197(1):435-442. |
32 | Pei Y B, Liu X P, Li Y H , et al. 2015. Investigation and analysis of villages in extreme spatial poverty in Liupan Mountain contiguous areas: A case study of Xiji, Ningxia Province. Research of Agricultural Modernization, 36(5):748-754. (in Chinese) |
33 | Qu W, Tu Q, Niu S W , et al. 2012. The poverty effect test of physical geography environment—The empirical analysis of the influence of physical geography conditions on rural poverty. Chinese Rural Economy, ( 2):21-34. (in Chinese) |
34 | Radosavljevic S, Jamila H L, Lade S J , et al. 2020. Effective alleviation of rural poverty depends on the interplay between productivity, nutrients, water and soil quality. Ecological Economics . DOI: org/10.1016/j.ecolecon.2019.106494. |
35 | Saleem Z, Donaldson J A . 2016. Pathways to poverty reduction. Development Policy Review, 34(5):671-690. |
36 | Shahriar K, David B, Edwin P . 2019. Linkages between poverty and income inequality of urban-rural sector: A time series analysis of India’s urban-based aspirations from 1951 to 1994. Applied Economics Letters, 26(6):446-453. |
37 | State Council of China. 2011. China rural poverty alleviation and development program (2011-2020). Beijing: The State Council of China. |
38 | Su K C, Hu B Q, Shi K F , et al. 2019. The structural and functional evolution of rural homesteads in mountainous areas: A case study of Sujiaying village in Yunnan Province, China. Land Use Policy, 88:1-12. |
39 | Ul-Allah S, Khan A A, Burkert A , et al. 2014. Socio-economic aspects of fodder production in urban and peri-urban areas of Faisalabad. Pakistan Journal of Agricultural Sciences, 51(2):483-490. |
40 | UNDP. 2016. Human development report (2016). New York: United Nations Development Program. |
41 | Vera-Toscano E, Shucksmith M, Brown D L . 2020. Poverty dynamics in rural Britain 1991-2008: Did labour’s social policy reforms make a difference? Journal of Rural Studies, 75: 216-228. |
42 | World Bank. 2018. Poverty & equity data portal. . January 22, 2018. |
43 | Yang L X, Zhang H . 2015. A study on the structural differences and sustainable development “Straight-through Areas” of Yunnan. Social Sciences in Yunnan, 5:114-118. (in Chinese) |
44 | Yuan Y, Wang Y L, Ma Jing , et al. 2014. Multidimensional evaluation of county poverty degree in Hebei Province. Progress in Geography, 33(1):124-133. (in Chinese) |
45 | Yusuf S, Machano M, Ali . 2018. Tourism and poverty reduction: Evidence from Tanzania. International Journal of Asian Social Science, 8(12):1130-1138. |
46 | Zeng L B, Zhang J L, Li Y J . 2015. Research on spatial disparities for minority population distribution of Yunnan Province from 1990 to 2010. Areal Research and Development, 34(2):167-171. (in Chinese) |
No related articles found! |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||