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The aim of this paper is to identify the factors that influence rice farmers' decisions to adopt crop insurance and premium payments (willingness to pay [WTP] amounts). The paper also demonstrates the usefulness of the complementary log-log (cloglog) truncated Poisson double-hurdle model as an alternative hurdle model.

The study first investigated the nature of the dependent variable, which had non-normal residuals and was overdispersed. The probit truncated normal regression double-hurdle model was tried but it failed the normality and homoscedasticity tests; hence, the cloglog truncated Poisson double-hurdle model was employed in the study.

An estimated 61% of respondents would purchase crop insurance, despite farmers not having prior experience with this product. Amongst others, the factors that influence insurance adoption amongst rice farmers are the share of rice in total income, reliability perception of crop insurance schemes and the probability of failure to achieve target yields. The latter helps the authors to address adverse selection, a central issue to the viability of such an insurance programme. The determinants of farmers' WTP are also identified.

Sampling was limited to farmers using irrigation and living in one region of Ghana, which may limit the study’s wider applicability.

As far as the authors are aware, this study is the first to select the appropriate hurdle model based on established properties of the dependent variable on this topic – crop insurance decisions.

The purpose of this paper is to consider borrower-specific characteristics to understand the factors affecting both the probability and quantum of loan default by individual borrowers under Islamic and conventional banking.

Borrower-specific characteristics that explain the probability of default may not necessarily be similar factors that determine the quantum of default. The authors therefore apply a Box-Cox double hurdle model to treat both the probability and quantum of default in a two-step approach. The authors also explain the differences in default risk and quantum of default between Islamic and conventional banking borrowers from their behavioral perspectives following the Sharia principles in financial transactions between lenders and borrowers. The authors use borrower-specific information of two separate bank branches of the United Arab Emirates that solely deal with either Islamic or conventional banking products.

The paper demonstrates that the probability of default and the quantum of default appear to be influenced by different set of client-specific factors. The results suggest that the probability of default does not vary significantly between Islamic and conventional banking borrowers. The evidence also shows that Islamic banking defaulters, compared to those in conventional banking, repay a large quantum of overdue when their financial leverage improves. However, they do not tend to reduce their outstanding quantum of overdue faster than conventional banking defaulters.

Availability of data from only two bank branches may limit the explanatory power of empirical findings.

The study findings will enable the Islamic and conventional banks to appropriately address Basel Capital requirements based on the borrowers’ behavior.

The study findings have the potential for Islamic and conventional financing institutions to be more flexible with equity in their lending practices.

Religious beliefs are crucial in borrower’s default behavior in Islamic banking.

The purpose of this paper is to investigate the determinants of pork consumption in urban western China and the different consumption patterns across income strata with respect to income elasticity and price elasticity of demand.

The double-hurdle model is fit to the household data of Sichuan and Xinjiang provinces which is from the National Bureau of Statistics urban household surveys.

The paper finds that consumers’ purchasing decisions regarding pork are related to both non-economic and economic factors. The results also indicate large differences among the determinants for decision of how much pork to buy across the three income strata. Low-income households have higher income elasticity than middle-income and high-income households. High-income and middle-income households’ level of pork consumption is more sensitive to pork price. High-income households have greater cross-price elasticity.

In the previous studies, the non-economic determinants of pork consumption have not been addressed, and neither does the issue of difference pork purchasing behavior across income strata for urban households in western China. So this study uses the double-hurdle model to investigate the determinants of pork consumption in urban western China.

China has experienced a fast economic growth and shown a significant rise in income inequality in the past decades. During the same period, fluid milk consumption in urban areas has rapidly expanded. The objective of this paper is to analyze and simulate the influence of income distribution changes on fluid milk consumption of households in urban China.

This study applies an inverse hyperbolic sine (IHS) double-hurdle model to modeling at-home fluid milk consumption of households across different income strata based on a sample of 11,861 urban households in five provinces in China, and simulating the impact of changing income distribution, including five income growth patterns, on fluid milk consumption of total households as well as specific household groups.

The fluid milk consumption in urban China will continue to increase, with the unconditional income elasticity being 0.334 for the full sample and 0.347, 0.335 and 0.162 for the low-, middle-, and high-income groups, respectively. The simulation results show an evidence that, compared with distribution-neutral and disparity-enlarging income growth patterns, a rising income equality would lead to a more significant increase in fluid milk consumption. And the inequality-reducing income growth pattern has a larger impact on fluid milk consumption of households with seniors and no children, as well as households having no local urban household registration (hukou).

The government should strengthen the supply measures of fluid milk in urban areas, enlarge domestic dairy production, and diversify the sources of milk imports. It is also necessary to subsidize low-income families, especially households with seniors or households migrated from other areas without getting local urban hukou, which could simultaneously improve nutritional benefits and alleviate financial pressures.

A simulation considering the evolution of income distribution as well as different household groups is conducted. Widely distributed data with a large sample size and detailed demographic information are used. The problems of zero consumption and non-normal distribution are addressed by the IHS double-hurdle model.

The purpose of this paper is to critically examine the impact of a growth enhancement support scheme (GESS) on the enabling environment of smallholder farmers in sub-Saharan Africa. The main aim is to investigate the impact of the GESS on access to rural farm credit and the transport cost of smallholder farmers in the agricultural transformation agenda (ATA) in Nigeria.

This paper adopts a survey research technique, aimed at gathering information from a representative sample of the population, as it is essentially cross-sectional, describing and interpreting the current situation. A total of 1,200 were sampled across the six geopolitical zones of Nigeria.

The results from the use of a double-hurdle model indicate that the GESS has a significant impact on farmers’ access to credit, but does not significantly impact on rural farm transport cost, which subsequently influences the price of food in the country.

This implies that if the Federal Government of Nigeria is to work toward an ideal agricultural transformation agenda, transport networks should be closely aligned with the GESS priorities to provide connectivity to rural areas that provide most of the country’s agricultural output.

This research adds to the literature on the agricultural and rural development debate in developing countries. It concludes that embracing a rural finance and transportation infrastructure should form the foundation of the ATA in Nigeria, which, in turn, would provide a conducive environment for a more widespread rural economy in sub-Saharan Africa.

China is not only the biggest mutton consumer, but also the top mutton importer in the world. China’s urban households are becoming the key driving force behind a surge in mutton consumption. Therefore, the purpose of this paper is to investigate the determinants of mutton demand in urban China.

Based on a sample of 32,910 urban households across six provinces and autonomous regions, an inverse hyperbolic sine (IHS) double-hurdle model is estimated, by maximum likelihood estimation, to reveal the determinants of mutton consumption-at-home.

The empirical results indicate that, first, household income has a positive effect on mutton consumption, and higher income households have a higher income elasticity; second, wet weather increases probability, but reduces conditional level and unconditional level; finally, minority group households consume more mutton than Han group households.

It is necessary for policymakers to develop a long-term outlook in relation to the increase of China’s mutton appetite and to shift from a domestic perspective to a global one and develop diversified import strategies. Furthermore, policymakers require to make a practicable emergency preplan for tackling short-term agglomeration of demand for mutton, attributed to festivals, and religious events of a minority ethnic group.

This is a major work based on a large sample of 32,910 urban households conducted by the National Bureau of Statistics of China. This paper uses an IHS double-hurdle model to quantify the determinants of mutton consumption; it sheds light on the climatic, regional, and ethnic characteristics of mutton consumption in urban China.

Inadequate finance is considered a major factor limiting the growth of small-scale women-owned farm enterprises in Sub-Saharan Africa. Women empowerment programs such as table banking (TB) and women enterprise fund were initiated in an attempt to curb the credit gap affecting women in agribusiness. This paper determines the factors influencing the extent of credit access among women farm-entrepreneurs who are either members or nonmembers of TB groups in Kenya.

The study was conducted in Kericho County using a sample of 384 respondents. Factor analysis was used to generate three indicators of entrepreneurial orientation which were included as explanatory variables in the regressions. Double hurdle econometric model was employed to analyze the factors influencing the decisions on credit uptake and amount of borrowed loan. Separate models were estimated for members and nonmembers of TB groups since they differed in volume and source of loan accessed.

Results reveal that age of the woman and innovativeness negatively influenced credit access, whereas education level, participation in off-farm activities, number of farm enterprises, perception on interest rate, extension contacts and financial knowledge positively influenced the decision to access credit. On the other hand, participation in off-farm activities, risk-taking behavior, total land size, extension access and financial knowledge were statistically significant with positive correlation on the amount of loan borrowed. Significant factors differ between members and nonmembers of TB groups implying divergence in underlying credit access challenges once one has joined such groups.

The study did not consider supply-side factors affecting the amount of loan accessed by women farm-entrepreneurs.

To the best of the authors’ knowledge, this paper is one of the pioneer studies using the double hurdle model to analyze factors influencing the extent of credit access specifically among women farm-entrepreneurs and carrying out the analysis by membership in TB groups.

This article aims to examine the determinants of farmers' decisions on the adoption of modern rice varieties in two stages, including whether to adopt and, if so, how much to adopt.

The Double-Hurdle and Tobit models are applied to determine whether farmers make their two-stage decisions separately or simultaneously.

The findings reveal that farmers make their decisions on the probability of adoption and the intensity of adoption separately. Ethnicity, agricultural labor, land, rice production asset and non-farm self-employment are determinants of the farmers' decision on the adoption of modern rice varieties in both stages. Previous adoption, gender and an irrigation program only have a significant effect on the farmers' probability of adoption, while the market only significantly explains the farmers' decision on the intensity of adoption.

Due to the unavailability of data, this article does not include the attributes of the rice varieties or farmers' perception about the varieties in the model.

The uniqueness of this research is that it attempts to examine the determinants of farmers' two-stage decisions on whether to adopt and how much to adopt the modern rice varieties by application of the Double-Hurdle method.

We estimate a double-hurdle (DH) model of the Hungarian wage distribution assuming censoring at the minimum wage and wage under-reporting (i.e. compensation consisting of the minimum wage, subject to taxation and an unreported cash supplement). We estimate the probability of under-reporting for minimum wage earners, simulate their genuine earnings and classify them and their employers as ‘cheaters’ and ‘non-cheaters’. In the possession of the classification, we check how cheaters and non-cheaters reacted to the introduction of a minimum social security contribution base, equal to 200 per cent of the minimum wage, in 2007. The findings suggest that cheaters were more likely to raise the wages of their minimum wage earners to 200 per cent of the minimum wage, thereby reducing the risk of tax audit. Cheating firms also experienced faster average wage growth and slower output growth. The results suggest that the DH model is able to identify the loci of wage under-reporting with some precision.

The purpose of this paper is to analyze households’ acquisition of healthy food away from home (FAFH) from restaurants. Specifically, determinants of households’ decision to purchase healthy FAFH, the share of households’ FAFH expenditures allocated to healthy FAFH and the share of households’ FAFH calories obtained from healthy items are identified.

Using data from the National Household Food Acquisition and Purchase Survey, the UK Food Standards Agency’s Nutrient Profiling Model is used to classify the healthfulness of households’ FAFH purchases. A double-hurdle model is estimated to identify determinants of households’ decision to purchase healthy FAFH and the share of their FAFH expenditures and calories allocated to healthy items.

Households’ acquisition of healthy FAFH varies with income, food assistance, FAFH purchase frequency, dieting, restaurant type, household composition, region and season. There is little difference in the impact of these factors on healthy FAFH expenditure shares vs calorie shares, suggesting that healthy FAFH expenditures proxy the contribution of healthy FAFH to a households’ diet.

Results suggest that increased availability of healthy FAFH may need to be supplemented by targeted advertising and promotions, revisions to nutrition education programs, improved nutrition information transparency and value pricing in order to improve the dietary quality of households’ FAFH acquisitions.

This study is the first to analyze household acquisition of healthy FAFH.