How Internet usage contributes to livelihood resilience of migrant peasant workers? Evidence from China

Chen, Hong; Chen, Chien-Ping; Qin, Lijie; Qin, Mingshuai

doi:10.1016/j.jrurstud.2022.09.028

Cited by 30 publications

(11 citation statements)

References 30 publications

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“…(3) Control variables. To avoid the problem of omitted variables as much as possible, referring to the previous literature [41,[45][46][47], the control variables in this paper include individual characteristics, household characteristics, and regional characteristics. Specific variables are described below, and the summary statistics of these variables are shown in Table 1.…”

Section: Variables Selection and Descriptionmentioning

confidence: 99%

Digital Revolution and Employment Choice of Rural Labor Force: Evidence from the Perspective of Digital Skills

et al. 2023

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The practical implementation of the employment promotion effect of the digital economy is closely linked to rural laborers’ digital skills (DS). Therefore, this study uses the Mprobit model to empirically test the impact of DS on rural labor employment choices. The results show that: (1) the acquisition of DS by the rural labor force significantly increases the rate of off-farm employment and entrepreneurship but has no significant effect on farm employment, with work skills having the most significant positive impact on the rural labor force off-farm employment and online business skills having the most significant positive impact on rural labor force entrepreneurship. (2) The mechanism test reveals that DS influences the employment choices of the rural labor force by alleviating the information access constraint and financing constraints faced by rural labor. (3) Heterogeneity analysis shows that males and rural laborers in rich regions can benefit from entrepreneurship. In contrast, females and low-skilled and rural laborers in middle and poor regions can benefit more from off-farm employment. Our findings provide empirical evidence on effectively cultivating DS to increase the diversity of employment choices for the rural workforce and highlight the importance of improving DS.

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Section: Variables Selection and Descriptionmentioning

confidence: 99%

Digital Revolution and Employment Choice of Rural Labor Force: Evidence from the Perspective of Digital Skills

et al. 2023

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“…Studies assessing the impact of broadband on rural income, sometimes in addition to employment, largely find a positive impact; broadband increases rural income (Whitacre et al 2014b; Gallardo and Whitacre 2018; Chen et al 2022). Within this group of studies, two of them provide interesting details about the linkage between broadband and income.…”

Section: Resultsmentioning

confidence: 99%

A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022)

Mack,

Loveridge,

Keene

et al. 2023

International Regional Science Review

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This article provides a systematic review of the quantitative social science research on broadband Internet technology in rural areas. Specifically, we summarize the literature on 1) rural broadband availability and adoption behaviors and 2) the implications of these behaviors for rural businesses, public policy initiatives, and regional development. In the studies reviewed, rural areas suffer from both lower availability and lower adoption rates compared to their urban counterparts. However, researchers disagree on whether supply frictions inherent to rural areas or heterogeneous demand and adoption behaviors are the major cause of this outcome. Researchers widely agree that high-speed Internet improves economic outcomes of rural areas, whether it is through increases in business activity or in more general economic development measures (e.g. productivity, jobs, income). Impact evaluations of rural broadband policy initiatives produced mixed results, highlighting the need for a better understanding of agents’ incentives. This review points to four areas for future research. One, assessments of the long-term impact of broadband on rural economies. Two, analyses of the net effect of broadband on economic development outcomes (e.g. migrants, job creation). Three, assessments of economic development impacts associated with broadband speed. Four, assessments of the efficacy of broadband policies.

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“…Some scholars have studied from the perspective of rural decline, focusing on population loss [15,16] and rural hollowing out [17,18]. Some scholars have conducted research from the perspective of rural value enhancement, focusing on rural urbanization [19,20] and rural settlement consolidation [21,22]. In addition, some studies have taken the state and trends of rural development as the basis to study the pattern of urban-rural development [23][24][25], and have been divided into two research focuses.…”

Section: Introductionmentioning

confidence: 99%

Coupling of Population and Settlement Change Trends in Traditional Rural Areas and Urban–rural Development Spatial Patterns: A Case Study of Heilongjiang Province, China

Lin,

Du,

Zhang

et al. 2024

Preprint

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Achieving the dual development of rural revitalization and urbanization is an important strategic goal of China’s current modernization. Rural population and settlements are the main components of the countryside in traditional agricultural areas, and play an important role in the development of the countryside itself in terms of urban and rural land use and in the formation of urban and rural development patterns. This study analyzes the spatial and temporal changes in rural populations and settlements at the township level, as well as the degree and type of coupled development. A framework for urban–rural development relationships based on different types of coupled development is proposed, and a model of urban–rural forces is constructed to derive the spatial pattern of urban–rural development at the township level that may be formed in the future. Our study shows that the rural population and settlements in the study area are characterized by significant spatial and temporal dynamics, indicating that traditional rural areas are in a process of rapid development and change. The results of the township-level coupling measurements present four types of development in terms of the spatial pattern of urban–rural development: A-type is most likely to produce new cities or satellite towns in the Jixi–Harbin–Qiqihar area in the future; B-type is the fastest dying area in the future, located in the Harbin and Qitaihe clusters, with a tendency to merge into Harbin; C-type is the area to be focused on in the future to attract population and strictly control the growth of the rural settlement area to avoid it turning into B-type; D-type may develop regional township centers in the future in the combined area of Jiamusi City, Suihua City and Mudanjiang City. The results of the study provide experience in realizing rural revitalization according to local conditions. The new spatial pattern of urban–rural development provides an important reference for formulating land use policies, optimizing urban–rural land allocation and realizing integrated urban–rural development strategies.

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How Internet usage contributes to livelihood resilience of migrant peasant workers? Evidence from China

Cited by 30 publications

References 30 publications

Digital Revolution and Employment Choice of Rural Labor Force: Evidence from the Perspective of Digital Skills

Digital Revolution and Employment Choice of Rural Labor Force: Evidence from the Perspective of Digital Skills

A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022)

Coupling of Population and Settlement Change Trends in Traditional Rural Areas and Urban–rural Development Spatial Patterns: A Case Study of Heilongjiang Province, China

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