Regional Patterns and Determinants of Commuting Between Rural and Urban India

Bhatt, V. V.; Chandrasekhar, S.; Sharma, Ajay

doi:10.1007/s41027-020-00276-9

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Deconstructing the National New Urbanization Plan (2014-2020) issued by the State Council based on the system science perspective reveals that NU is a major national systematic project with urban-rural integrated development and regional synergistic development as the goal orientation, smart growth theory and sustainable development concept as the outline guideline, and urban-rural factor mobility and regional innovation division of labor as the basic scheme [68,69]. Based on this logic, this paper tries to analyze the role mechanism of NU affecting UME from these three dimensions.…”

Section: Mechanism Of the Nu Effect On Umementioning

confidence: 99%

Does New Urbanization Promote Urban Metabolic Efficiency?

Liao

2024

Sustainability

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Existing studies have paid less attention to the impact of new urbanization (NU) on urban metabolic efficiency (UME). This paper empirically tests the mechanism and the effect of NU on UME based on China’s panel data from 2008 to 2020, using China’s NU pilot as a quasi-natural experiment. The study draws the following conclusions: (1) NU can significantly promote UME. (2) NU can promote UME for cities in neighboring regions. (3) The effect of NU on UME presents the heterogeneous characteristics of eastern region > central region > western region, non-urban agglomeration cities > urban agglomeration cities, and is greater in central cities than in non-central cities. (4) Mechanism analysis shows that NU can promote UME through six paths: promoting urban–rural integration and regional synergistic development, reducing urban sprawl and energy mismatch, strengthening urban–rural population mobility, and green innovation division of labor. The above results are not only conducive to incorporating UME into NU’s appraisal system but also to making UME, which can reflect the quality of urban development in a more comprehensive and systematic way, a performance measurement tool for NU.

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Section: Mechanism Of the Nu Effect On Umementioning

confidence: 99%

Does New Urbanization Promote Urban Metabolic Efficiency?

Liao

2024

Sustainability

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“…The study highlights the significance of validation techniques for comprehensive employment trend analysis. In "Regional Patterns and Determinants of Commuting between Rural and Urban India," Vasavi Bhatt et al explore rural-urban commuting trends, providing insights into worker mobility patterns and their determinants [6]. Their study complements migrationcentric literature and emphasizes the role of commuting in shaping rural-urban dynamics.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the realm of technological advancement, "Artificial Intelligence and Labor Productivity Paradox" by Jamielyn Bonsay et al investigates the impact of AI on economies, questioning whether it could surpass human labor in driving growth [7]. By examining AI's influence on economic growth in China, India, Japan, and Singapore, the study contributes to the discourse on technological unemployment and its implications.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Analysis of Unemployment Rates Between China and India

Peng

2023

AEMPS

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This study examines the unemployment rate in two major developing economies, China and India, to forecast their economic trajectories. Through an autoregressive integrated moving average (ARIMA) model, this study analyzes historical trends and potential future scenarios that can help make informed decisions for sustainable growth. By evaluating the literature on the labor market, informal economy, demographics, and the impact of technology, this study enriches the understanding of these intricate economies. The study concludes that Chinas unemployment rate has remained stable, indicating an equilibrium, while Indias unemployment rate has fluctuated slightly, which may be due to health crises, technological shifts, and global trade dynamics. This study emphasizes the role of domestic policies, demographic and global economic factors in influencing unemployment rates. Overall, this study provides insights into the dynamics of unemployment in China and India, providing a valuable resource for policymakers, researchers, and businesses to understand the complexities of these economies.

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“…Rural occupations encompass various economic activities such as agriculture, livestock rearing, forestry, fishing, mining, handicrafts, and small-scale industries. These occupations are often influenced by factors such as geographic location, natural resources, technological advancements, market demand, and government policies (Bhatt et al, 2020). Rural occupations contribute significantly to the economic well-being of rural households and communities.…”

Section: Introductionmentioning

confidence: 99%

Occupational dimension of food security: A rural household level assessment in Kogi State, Nigeria

Shaibu UM,

Shaibu MT,

Adejoh E

et al. 2023

World J. Adv. Res. Rev.

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This study empirically assessed the occupational dimension of food security among rural households in Kogi State, Nigeria. The study adopted a multi-stage random sampling technique to select one hundred and forty-four (144) rural households for data collection. Primary data obtained from the respondents were analyzed using descriptive statistics, food security index (FSI), and a binary logit regression model. The results revealed a mean age of 43 years among the rural household heads. Married households accounted for 79.29% of the sample size with a mean household size of 4 members. The level of illiteracy was relatively low. The mean monthly income among the households was N71,796.43 (($154.40)). The majority (91.30%) of the farmers were food secure while only 8.70% were food insecure. The incidence of food insecurity was higher (77.8%) among the artisans, followed by household heads in other occupations, traders, and civil servants with an incidence rate of 58.3%, 54.8%, and 51.5%, respectively. It was also found that sex (p<0.01) and farming as a major occupation of household head (p<0.01) had a positive impact on rural household food security, while age (p<0.01) had a negative impact on household food security. It was recommended that relevant stakeholders should encourage rural households to practice agricultural production and farmers should be supported by the government and other relevant actors to expand their scale of production as this will have a multiplier effect on rural households’ food security.

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Regional Patterns and Determinants of Commuting Between Rural and Urban India

Cited by 7 publications

References 25 publications

Does New Urbanization Promote Urban Metabolic Efficiency?

Does New Urbanization Promote Urban Metabolic Efficiency?

Comparative Analysis of Unemployment Rates Between China and India

Occupational dimension of food security: A rural household level assessment in Kogi State, Nigeria

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