Gradient effect on farmers’ income in the mountain areas and its implication for poverty alleviation strategies: Empirical analysis from the upper reach of Minjiang River, China

Fang, Yiping; Fan, Jie; Mao-ying, Shen; Song, Mengqiang

doi:10.1007/s11629-012-2364-z

Cited by 12 publications

(4 citation statements)

References 30 publications

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“…Settlement sites (villages) are the most basic units of culture and social organization, and the county is the direct unit to implement national policy, indeed it is the lowest level unit of policy making and execution in ethnic minority areas of China. There is much literature about villages or large regions as research units [4][5][6][7][8][9][10]13,15,22], we selected the county as the research unit which can provide an effective bridge between the micro and macro environments [23]. This paper focuses on quantitative analysis methods supported by the research results of domestic and foreign scholars on livelihood [1,2,[8][9][10][13][14][15][16][17][18][19][20][22][23][24][25], based on the connotation and relationship of multidimensional poverty and sustainable development.…”

Section: Construction Of Evolution Indicesmentioning

confidence: 99%

“…Poverty is both a worldwide problem that hinders human survival and development, and a spatially heterogeneous phenomenon, i.e., poor people tend to be clustered in specific places [1][2][3], which is particularly evident in minority regions of China compared with their important geographical positions [4,5]. The eradication of poverty and the realization of common prosperity is a major task for China to build a well-off society successfully.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Sustainable Livelihood and Geographic Detection of Settlement Sites in Ethnically Contiguous Poverty-Stricken Areas in the Aba Prefecture, China

Liu

Huang

Wang

et al. 2018

IJGI

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Abstract:The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regions, including mountainous ethnic regions with the highest concentration of poverty and chronic poverty. Based on a sustainable livelihood Framework, five capitals and 33 evaluation indices of livelihood were built, and 13 counties' resources of the Aba Tibetan and Qiang Autonomous Prefecture were compared in order to calculate the degree of poverty. Topographic factors index of settlement sites (TFIS) were constructed by eight topographic factors, and diagnoses of the dominant factors of differentiation of 2699 settlements were calculated by using the geographical detector model to establish the poverty alleviation policies and models for different regions. The results showed that the livelihood capital evaluation indices were different (0.56-1.88), and natural capitals (mean value 1.56) had obvious advantages, but physical (mean value 0.56), financial (mean value 0.78), and human capital were lower (mean value 0.93), limiting the rate of transforming the ecological resources advantage into the economy. In the TFIS, the settlement points indicate topographic factors of natural breakpoint classification superposition, including elevation, slope, relief amplitude, surface incision, variance coefficient in elevation, surface roughness, distance to roads, and distance to rivers. These are within the 8-34 range, and their power determinant value to TFIS are 0. 02, 0.70, 0.77, 0.76, 0.51, 0.66, 0.06, are positively correlated, and negative correlation (22-26 and 27-34) is at the 0.05 level. The county's poverty alleviation measures and development under different livelihood indices and TFIS indicate that the ecotourism industry has become the inevitable choice for promoting rapid and coordinated development of economy, society, and the environment in ethnic regions.

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Section: Construction Of Evolution Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Sustainable Livelihood and Geographic Detection of Settlement Sites in Ethnically Contiguous Poverty-Stricken Areas in the Aba Prefecture, China

Liu

Huang

Wang

et al. 2018

IJGI

View full text Add to dashboard Cite

show abstract

“…The average income of rural inhabitants is an important indicator of the level of economic development in rural areas [1]. It also provides an important reference scale of economic welfare for farmers [2].…”

Section: Introductionmentioning

confidence: 99%

“…In the influencing factor analysis of rural income inequality, factor decomposition and regression correlation analysis are mainly employed [45][46][47]. China's rural regional inequality is attributed to factors such as income structure [48][49][50], disparity composition [42,51,52], livelihood capital [53][54][55][56][57], geographical factors [1,58], and institutions and policies [59][60][61][62]. For income structure, wage income or nonfarm income is dominant in the increase in the rural regional gap, so farm-related income is helpful for narrowing the gap.…”

Section: Introductionmentioning

confidence: 99%

Factor Decomposition of the Changes in the Rural Regional Income Inequality in Southwestern Mountainous Area of China

Yang

et al. 2018

Sustainability

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This study aimed to determine factors of rural income inequality changes in Aba Tibetan and Qiang Autonomous Prefecture, Sichuan, China, to help formulate measures to reduce regional inequality and alleviate poverty in the southwestern mountainous area of China, which experiences frequent natural disasters and poor living conditions. Changes in rural income inequality are examined, which are then decomposed into different component factors based on the Gini index. Income inequality is comprised of four types of income source: wages, household operations, properties, and transfers. This analysis focuses on the period of 2003 to 2011—a special transitional stage during which the Wenchuan earthquake intervened. The results indicate that income from household operations plays a dominant role in income inequality. Its contribution to the overall inequality fluctuates from 36.40 to 50.39% and had a positive effect on reducing inequality after the earthquake. Wage income contributed the second-most to income inequality and had positive and negative effects on reducing inequality before and after the earthquake, respectively. Transfer and property incomes are important forces in income inequality that have different influencing mechanisms. Transfer income positively helps reduce income inequality. Exclusive favors or preferences should be granted to such areas.

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Spatio-temporal pattern and driving forces of urbanization in China’s border areas

Song

Qiao-ling

2020

J. Geogr. Sci.

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Border area is not only an important gateway for inland opening-up, but also an important part of completing the building of a moderately prosperous society and optimizing national urban spatial pattern in China. Due to the location, natural resources endowment, and traffic accessibility, the urbanization speed is relatively slow in border areas. Therefore, it is a special area that needs to pay close attention to, especially under the background of the Belt and Road Initiative and China's regional coordinated development program. Based on the county-level data from 2000 to 2015, this paper tries to analyze the spatio-temporal pattern of urbanization in 134 border counties, and applies geographical detector method to study the driving forces of urbanization in border areas. Conclusions are as follows: (1) From 2000 to 2015, urbanization rate in border areas has been lower than the national average, and the gap has been widening. Some border counties in southern Xinjiang, Tibet, northeast of Inner Mongolia, and Yunnan, are even facing the problem of population loss. (2) In the same period, urbanization rate in the northwestern and southwestern border is low, while their urbanization rate grows relatively faster comparing with other border counties; urbanization rate in Tibet border is the lowest and grows relatively slowly; urbanization rate in the northeastern and northern border is slightly higher, but it grows slowly or even stagnates. (3) Transportation and industry are the important driving forces of urbanization in border areas, while the driving forces of market is relatively weak. And there are obvious mutual reinforcements among the driving forces, while the effort and explanatory power of resource force increases obviously after interaction. (4) Urbanization rate in the northwestern and southwestern border areas grows relatively fast, with industrial force and transportation force, market force and administrative force as the main driving forces respectively. Tibet border area has the lowest urbanization rate and growth rate, as the driving force of urbanization with strong contribution has not yet formed in Tibet. In the northeastern and northern border areas, the contribution of transportation force to urbanization is greater than other forces, and its interaction with market and industry has obvious effects.

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Gradient effect on farmers’ income in the mountain areas and its implication for poverty alleviation strategies: Empirical analysis from the upper reach of Minjiang River, China

Cited by 12 publications

References 30 publications

Assessment of Sustainable Livelihood and Geographic Detection of Settlement Sites in Ethnically Contiguous Poverty-Stricken Areas in the Aba Prefecture, China

Assessment of Sustainable Livelihood and Geographic Detection of Settlement Sites in Ethnically Contiguous Poverty-Stricken Areas in the Aba Prefecture, China

Factor Decomposition of the Changes in the Rural Regional Income Inequality in Southwestern Mountainous Area of China

Spatio-temporal pattern and driving forces of urbanization in China’s border areas

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