How livelihood capital affects farmers’ willingness to pay for farmland non-market value? Evidence from Jianghan Plain, China

Yang, Xin; Sang, Yiming; An-lu, Zhang

doi:10.1007/s11356-022-19327-3

Cited by 9 publications

(5 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With economic and social development, the level of NGPCL has increased remarkably; however, this differed obviously among different areas [ 61 ]. In this process, the geographical division of labor in food production is further clarified, and the comparative advantages of regional agriculture are highlighted [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

“…Secondly, it is supposed to vigorously promote land transfer and strengthen machinery input, so as to improve grain production efficiency and profit. Third, many studies advocate that grain subsidies should be increased to make grain growing truly profitable for farmers [ 61 , 63 ]. Fourth, fostering diversified grain production subjects.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Wang

Dai

2022

Foods

View full text Add to dashboard Cite

Non-grain production of cropland (NGPCL) is a common phenomenon in the process of rapid urbanization in order to meet the diversified food demand and prosperity of the rural economy. However, excessive NGPCL will threaten grain production. How to control the moderate development of NGPCL in order to achieve the balance between food security and rural development has become a salient issue. In this study, we constructed a framework to measure NGPCL, revealed the spatial–temporal pattern of NGPCL, and then analyzed its influencing factors from the perspective of the human–land relationship. The results indicate that, firstly, the overall degree of NGPCL in China experienced an increase from 0.44 to 0.51, while the gap among cities was consistently enlarging, with the range value increasing from 0.74 to 0.91. Secondly, the spatial pattern of NGPCL was high in the northwest and southeast, and low in the northeast and central regions. The southern economic developed area exhibited the highest increase, while the Inner Mongolia, northwest China, and traditional agricultural areas experienced a decreasing trend in NGPCL. Thirdly, the spatial agglomeration of NGPCL has been intensified, with the Gansu–Xinjiang Desert plateau, southeast coastal economic belt, and urban agglomeration areas exhibiting a “high–high” agglomeration, while the traditional agricultural areas exhibited “low–low” agglomeration. Fourthly, NGPCL is positively correlated with the urbanization rate, land fragmentation, landscape diversity, land price, and grain production policy, while it is negatively linked with the agricultural employment rate, agricultural machinery level, and cultivated land per capita. The findings of this research are not only deepen the understanding of NGPCL, but are also of great significance for policy makers in order to propose targeted control measures.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Wang

Dai

2022

Foods

View full text Add to dashboard Cite

show abstract

“…As a result, the degree of improvement in the livelihood capital of the relocated people influences how satisfied policymakers are with the post-relocation assistance programs for the relocation of rural households. Human capital, natural capital, material capital, financial capital, and social capital are commonly used to characterize and measure the livelihood capital [19,49,50]. Therefore, this study breaks down livelihood capital into human capital, natural capital, material capital, financial capital, and social capital.…”

Section: Analysis Framework Constructionmentioning

confidence: 99%

Influencing Factors of the Post-Relocation Support Policy’s Satisfaction Degree for Rural Household: A Case Study of County M, Sichuan Province

Fan

Chen

et al. 2023

Sustainability

View full text Add to dashboard Cite

With the decisive results of poverty alleviation in China, figuring out how to consolidate the results and transform them into the driving force of rural revitalization is an important adjustment for rural revitalization and high-quality development. The efficiency of policy implementation as well as the sustainable development of the areas out of poverty are both reflected in rural households’ satisfaction with the ex-suit poverty alleviation policy for relocation. Based on survey data collected from 293 households in County M, Sichuan Province, this paper selects 23 indicators of satisfaction with post-relocation support policies from livelihood capital, political trust, policy participation, and public service perception. On this basis, we use the multinomial logistic model to analyze the impact of each influencing factor on the post-relocation support policy’s satisfaction degree for rural households. The results show that the satisfaction degree of relocated households with post-relocation support policies is upper-middle. Among the livelihood capital of relocated households, the proportion of non-agricultural income, cultivated land area, infrastructure conditions, number of family workers, and number of civil servants are all factors that positively affect policy satisfaction. In addition, with regard to relocating households’ engagement in political trust, policy participation, and public service perception, it should be pointed out that policy results trust, policy understanding, opinions expressed, local government, back-up personnel, policy process, and support funds all have appreciably positive effects on policy satisfaction. These evaluation results can serve as a reference for the revision of post-relocation support policies in China and other developing countries.

show abstract

“…Under this analytical framework, farmers in the context of vulnerability will change their livelihood choices in the face of policy shocks [58]. Their behavioral decisions are affected by natural capital, physical capital, human capital, financial capital, and social capital [59,60]. Farmers have different utility functions, which affect their resource allocation [61].…”

Section: The Influence Of Sustainable Livelihood Capital On Farmers' ...mentioning

confidence: 99%

Heterogeneity Impacts of Farmers’ Participation in Payment for Ecosystem Services Based on the Collective Action Framework

Zhang

Cao

et al. 2022

Land

View full text Add to dashboard Cite

Payments for ecosystem services (PES) are designed to reduce the impact of human activities on eco-sensitive areas. PES programs often adopt economic-incentive and command-control strategies. Increasing the enthusiasm of farmers’ participation is crucial for the sustainability of PES programs and ecosystem restoration. The watershed ecological compensation in Xin’an River Basin is the first horizontal ecological compensation pilot in China. In this study, economic-incentive strategy and command-control strategies in living and farming are implemented simultaneously to improve water quality. Under the collective action framework, we analyze the drivers of farmers’ participation in three concurrent strategies using hierarchical linear models (HLM). The results show: (1) Overall, 81.79%, 76.26%, and 79.11% of farmers are willing to participate in economic-incentive strategy, command-control strategy in living, and command-control strategy in farming, respectively, while 18.21%, 23.74%, and 20.89% are from the village level. (2) Among statistically significant (p < 0.01) factors at the farmer level, social trust (β = 0.305), and social participation (β = 0.134) have positive effects on the economic-incentive strategy; the number of communication and entertainment equipment has a positive effect on the willingness to participate in command-control strategy in living (β = 0.287) and command-control strategy in farming (β = 0.336). (3) At the village level, village characteristics have a direct impact on the farmers’ willingness to participate in strategies. Village woodland area is positively correlated with strategies participation. In addition, village characteristics play a moderating role by influencing farmers’ sustainable livelihood capital. We conclude that different concurrent strategies and collective actions need to be considered in the design of PES programs, particularly in ecologically sensitive areas, which can enrich the theory of collective action and the connotation of PES.

show abstract

How livelihood capital affects farmers’ willingness to pay for farmland non-market value? Evidence from Jianghan Plain, China

Cited by 9 publications

References 43 publications

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Influencing Factors of the Post-Relocation Support Policy’s Satisfaction Degree for Rural Household: A Case Study of County M, Sichuan Province

Heterogeneity Impacts of Farmers’ Participation in Payment for Ecosystem Services Based on the Collective Action Framework

Contact Info

Product

Resources

About