Crop Insurance, a Frugal Innovation in Tanzania, Helps Small Maize Farmers and Contributes to an Emerging Land Market

Dijk, Meine Pieter van

doi:10.3390/land11070954

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…There is also agreement that there is a positive relationship between land scale and farm productivity [7,8]. The Chinese government has developed its land rental markets by reforming the land system [9] and encouraging off-farm employment [10][11][12]. The land transfer rate in China increased from 4.51 percent in 2006 to 34.1 percent in 2020 1 .…”

Section: Introductionmentioning

confidence: 99%

How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?

Zhang

Yuan

Wang

et al. 2022

Land

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Land costs in agricultural production are rapidly becoming apparent and increasing in light of the market’s rapid development in rural China. This study examines how agricultural operators’ farming decisions are affected by explicit and implicit costs associated with land transfers. This study first categorizes explicit and implicit land costs theoretically and demonstrates that both types of land costs affect farmers’ crop-planting selections. The study then uses the most recent household survey data from the Chinese Family Database (CFD) and the China Household Finance Survey (CHFS), released in 2017, to empirically test the theoretical analysis and examine the mechanisms underlying the impact of land costs on crop-planting selections. This study makes the case that higher land costs, both explicit and implicit, cause agricultural operators to grow more crops for cash and less for food. The impact of land costs on planting selection can vary depending on the heterogeneity of production areas and geography. In terms of production area heterogeneity, the explicit cost of land has a greater influence on planting decisions in non-major food-producing areas, whereas the implicit cost of land has a greater influence on planting decisions in major food-producing areas. In terms of topographic heterogeneity, the less flat the terrain, the more growers would choose to grow cash crops. A complementary relationship between the two forms of costs is also suggested by this study’s confirmation that explicit and implicit land costs can positively reduce each other’s impact on cropping decisions. Additional mechanism research revealed that explicit and implicit land costs impact crop crop-planting selections. The explicit cost of land primarily affects the local land transfer market effect, whereas the implicit cost of land affects the land transfer service.

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Section: Introductionmentioning

confidence: 99%

How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?

Zhang

Yuan

Wang

et al. 2022

Land

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Digitalization, Frugal Innovation, and Sustainable Development in the Global South: Opportunities and Challenges of a Frugal Smart Water Pump

van Tuijl,

Intriago Zambrano,

Knorringa

2024

The Palgrave Handbook of Sustainable Digitalization for Business, Industry, and Society

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The role of risk preferences: voluntary health insurance in rural Tanzania

Kagaigai

Grepperud

2023

Health Econ Rev

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Background Lower-middle-income countries (LMICs) have a common goal to achieve universal health coverage (UHC) through voluntary health insurance schemes. This is important to improve access to healthcare services and ensure financial protection for all by reducing out-of-pocket expenditures. This study aimed to examine the role of risk preferences on enrollment status (currently insured, previously insured, and never insured) into a Tanzanian voluntary health insurance scheme targeted at the informal sector. Methods Data were collected from households in a random sample of 722 respondents. The risk preference measure was based on a hypothetical lottery game which applies the BJKS instrument. This instrument measures income risk where the respondents are to choose between a certain income and a lottery. Both multinomial and simple logistic regression models have been used to analyze the relationship between risk aversion and enrollment status. Results On average, the respondents have a high degree of risk aversion, and the insured are more risk averse than the uninsured (previously insured and never insured). There is a weak tendency for the wealthiest, measured by household income or total household expenditure, to be somewhat more risk averse than the less wealthy. Logistic and multinomial logistic regressions show that risk aversion is strongly associated with enrollment status. A higher degree of risk aversion significantly increases the probability of being insured, relative to being previously insured, and relative to being never insured. Conclusion Risk aversion matters in a decision to enroll into the iCHF scheme. Strengthening the benefit package for the scheme, might increase the enrollment rate and hence improve access to healthcare services for people in rural areas and those employed in the informal sector.

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Crop Insurance, a Frugal Innovation in Tanzania, Helps Small Maize Farmers and Contributes to an Emerging Land Market

Cited by 3 publications

References 9 publications

How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?

How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?

Digitalization, Frugal Innovation, and Sustainable Development in the Global South: Opportunities and Challenges of a Frugal Smart Water Pump

The role of risk preferences: voluntary health insurance in rural Tanzania

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