Land- and Water-Based Adaptive Farming Practices to Cope with Waterlogging in Variably Elevated Homesteads

Rahman, Md. Moshiur; Chakraborty, Tapan Kumar; Mamun, Abdullah Al Al; Kiaya, Victor

doi:10.3390/su15032087

Cited by 6 publications

(3 citation statements)

References 55 publications

(77 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The natural attributes of contracted land are production combined with labor to form agricultural output income [54,55]. The natural attribute of homestead land is life, mainly providing safe shelter for farmers, more manifested as an asset function and ethical function [56,57].…”

Section: Correlation Effect Of Farmers' Willingness To Withdraw From ...mentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

View full text Add to dashboard Cite

Because of the increased expansion of the non-agricultural industry spurred on by vigorous urbanization, labor migration or transfer from farm to urban regions is to become more predominant in China. Studying the effect of labor transfer on farmers’ willingness to withdraw from land is conducive to deepening the understanding of the reality of the “separation of human and farmland”. As most rural livelihoods, directly and indirectly, depend upon farming, the socio-economic impact of leaving the homestead fosters profound research value. Moreover, it would provide a decision-making reference for the government to improve the design of the rural land withdrawal system and related support policies. This article uses the survey data of 953 farmers in Shaanxi, Sichuan, and Anhui, China, to empirically analyze labor transfer’s effect on farmers’ willingness to withdraw from farmland. We construct a bivariate Probit model by eliminating the endogenous issue to craft its findings. This study outlines its findings: (i) 61.805% of the farmers were unwilling, and 18.048% were willing to withdraw from the contracted land and homestead. While 12.067% of the farmers were only willing to withdraw from the contracted land, 8.080% of the farmers were only willing to withdraw from the homestead. Further testing found a positive correlation between farmers’ willingness to withdraw from contracted land and the homestead. (ii) The overall labor transfer of households can increase the willingness of farmers to quit contracted land and homestead farming. The incomplete labor transfer of households can improve the willingness of farmers to quit contracted land. Still, it has no significant impact on the willingness of farmers to quit their homesteads. The family’s complete labor transfer incentivizes farmers’ willingness to withdraw from contracted land and the homestead, which is more potent than incomplete family labor transfer. (iii) Incomplete labor transfer of female households has an incentive effect on farmers’ willingness to quit contracted land, and the effect is more robust than that of incomplete household labor transfer. Seemingly, complete female labor transfer of households has an incentive effect on farmers’ willingness to quit contracted land and the homestead, and the effect is stronger than the complete labor transfer of the family. Because of this, the government should respect the wishes of farmers and strengthen the effective connection and mutual promotion between the homestead and contracted land withdrawal policy. Moreover, pay concentrated attention to the vital role of different types of labor transfer, and targeted labor transfer mechanisms should be used to guide farmers in an orderly manner.

show abstract

Section: Correlation Effect Of Farmers' Willingness To Withdraw From ...mentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…Over 700 million people go hungry every day and do not have access to the basic foodstuffs needed for their existence [1]. Due to global warming, finding methods and strategies which may increase crop tolerance under different types of stress is of significance [2][3][4]. Furthermore, since arable area is limited and the need for food is growing year by year, the application of more efficient methods of food production is crucial for survival [5,6].…”

Section: Introductionmentioning

confidence: 99%

New Methodology for Corn Stress Detection Using Remote Sensing and Vegetation Indices

Cvetkovic

Đoković

Dobrota³

et al. 2023

Sustainability

View full text Add to dashboard Cite

Since corn is the second most widespread crop globally and its production has an impact on all industries, from animal husbandry to sweeteners, modern agriculture meets the task of preserving yield quality and detecting corn stress. Application of remote sensing techniques enabled more efficient crop monitoring due to the ability to cover large areas and perform non-destructive and non-invasive measurements. By using vegetation indices, it is possible to effectively measure the status of surface vegetation and detect stress on the field. This study describes the methodology for corn stress detection using red-green-blue (RGB) imagery and vegetation indices. Using the Excess Green vegetation index and calculated vegetation index histogram for healthy crop, corn stress has been effectively detected. The obtained results showed higher than 89% accuracy on both experimental plots, confirming that the proposed methodology can be used for corn stress detection using images acquired only with the RGB sensor. The proposed method does not depend on the sensor used for image acquisition and vegetation index used for stress detection, so it can be used in various different setups.

show abstract

“…In 2018, the Government proposed the separation of homestead ownership, qualification rights, and use rights, providing a policy basis for house sharing [18][19][20][21]. The new "Land Management Law", first introduced in 2019, allows rural villagers who have settled in cities to withdraw from their homesteads with voluntarily compensation, as well as encouraging rural collective economic organizations and their members to revitalize and utilize idle homesteads and houses [22][23][24]. This policy will not only affect the willingness of a particular farmer to revitalize the idle house but also have a significant impact on other members of his kinship network.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Kinship Networks on Farmers’ Willingness to Revitalize Idle Houses

Luo

et al. 2023

Sustainability

View full text Add to dashboard Cite

China is vigorously promoting the strategy of rural revitalization, encouraging farmers to revitalize their idle houses and developing rural tourism. In rural China, kinship networks are essential in farmers’ willingness and decision–making tools. It is significant to explore the influence of kinship networks on farmers’ willingness to revitalize idle houses. This study constructs a research framework of “kinship networks–revitalization willingness–revitalization action”. It describes farmers’ kinship networks from five aspects: kinship networks structure, kinship networks relationship, kinship networks cognition, kinship networks members’ sense of belonging, and their social participation enthusiasm. Taking Bishan Village, a typical rural tourism–type ancient village, as an example, this study surveyed 197 farmers to demonstrate the influence of kinship networks on farmers willingness to revitalize idle houses. This paper uses a multiple regression model to empirically study the influence of kinship networks on farmers’ willingness to revitalize idle houses. The results show that: (1) In addition to the kinship networks structure having no significant positive impact on farmers’ willingness to revitalize idle houses, kinship networks relationship, kinship networks cognition, kinship networks members’ sense of belonging, and kinship networks members’ social participation enthusiasm all have positive effects on farmers’ willingness. (2) Considering the critical influence of kinship networks on farmers’ willingness to revitalize idle houses, the government should use the structure of kinship networks to formulate relevant policies to guide farmers to increase their willingness to revitalize their idle houses.

show abstract

Land- and Water-Based Adaptive Farming Practices to Cope with Waterlogging in Variably Elevated Homesteads

Cited by 6 publications

References 55 publications

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

New Methodology for Corn Stress Detection Using Remote Sensing and Vegetation Indices

Influence of the Kinship Networks on Farmers’ Willingness to Revitalize Idle Houses

Contact Info

Product

Resources

About