Search results

This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

The purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.

This study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.

The results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.

This study has several shortcomings, such as very low R² and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.

The government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.

As Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.

The productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

This paper analysed the motives behind farmers' savings with Rural and Community Banks (RCBs) and the effect of these savings on rice yield in the Hohoe Municipality of the Volta region of Ghana.

A multi-stage sampling approach was used to draw a random sample of 222 rice farmers, and a structured questionnaire was employed to collect cross-sectional data. A Likert scale was used to rank the motive behind farmers' savings while the endogenous switching regression model was used to estimate the effect of savings on rice yield.

The results of the study showed that most farmers mobilise savings to enhance farm investment which is critical to increasing rice productivity. Improved labour and fertiliser use had a positive influence on rice yield, while farm size had an inverse relation with rice yield. Further, the findings show that savings with RCBs help mobilise the necessary finance to enhance rice productivity. In terms of the treatment effect of savings, the results indicate that farmers who patronise saving products of RCBs recorded a statistically significant average yield of 1.41 Mt/ha more than those not patronising saving products from any bank.

While the literature on agricultural finance focuses largely on credit, this study demonstrates that savings hold significant benefits for the development of agriculture through productivity gains. The importance of this demonstration is further shown by the fact that credit access depends on the ability to save in most developing countries.

There is a need to educate farmers about the essence of patronising formal savings products.

This study represents the first attempt at linking farmers' savings to agricultural productivity using an econometric methodology in Ghana. The study serves as a foundation paper and for that matter will serve as a guide to future research on savings mobilisation and agricultural productivity nexus.

This paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.

Using recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.

The results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.

The sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.

This study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.

To the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.

The purpose of this paper is to investigate the determinants of the gender gap in the gross value of rice yield in Vietnam.

A panel data set of 12 provinces of Vietnam from 2010 to 2014 was used, collected from the Vietnam access to resources household survey. To measure the gender gap in the gross value of rice yield, two-stage least squares and Blinder – Oaxaca decomposition methods were used.

The gross value of rice productivity of male-headed households was 10.3 percent higher than that of female-headed households. The gender gap in rice productivity is caused by the endowment and structural effects; the endowment effect explained 53 percent of the gender gap in rice productivity and the structural effect 42 percent.

In order to reduce the gender gap and improve the gross value of rice yield, the following policies are suggested: female education and access to institutional services (extension and credit) should be improved and future research is needed to determine the reasons for gender discrimination in the agricultural production system.

The findings suggest that the difference in the gross value of rice yield between male- and female-headed households were mainly caused by endowments and returns from those endowments.

The purpose of this paper is to analyse the effect of enhanced knowledge and technology innovations, which were resulted from training, on the simultaneous production of rice and soybean in Java, Indonesia.

A model of product possibility frontier with two outputs produced using the same resources was employed. Based on the model, supply responses of soybean and rice were derived. Aggregate data consisting of 12 regions during the ten years of 2000–2009 were compiled from relevant agricultural institutions at the provincial level.

Improvement in farmers’ capacity has been able to increase production of soybean and rice simultaneously. Farmers’ capacity increased after completion of the school. Knowledge and skill gained from the school have been applied to both rice and soybean farming. Other economic factors also affected the supply response of both commodities.

Available data covered periods 2000–2009. However, the outcomes are still relevant to the current situation because food crops are the basic necessity. This study used secondary aggregate data, which might be less accurate than primary data. However, secondary data have the advantage concerning coverage and time span.

The Government, in collaboration with non-government organisations and the private sectors, should continue to enhance farmers’ capacity to increase the production of food crops to feed people in Indonesia, and over the world in general.

An analysis of joint production using a concept of product transformation curve can measure the impact of training on multi products.

The purpose of this paper is to analyze how institutional credit affected the productivity of rice crop in District Lahore, Punjab Pakistan.

For this purpose, stratified random sampling technique was adopted to select the sample respondents. The district was divided into three strata; from each stratum two villages were randomly selected and from each village ten loanee farmers were randomly selected from the given list of borrowers. An equal number of non‐loanee farmers were also selected. Cobb Douglas function was used to calculate the impact of credit on rice productivity.

The coefficient of credit was significant, which indicated that credit has a positive impact on the productivity of rice, providing a clue that credit is an important tool for improving and increasing the agricultural productivity in general and that of rice in particular.

The paper will be an important addition to the literature in the current credit impact studies and will help especially the agricultural planners who are responsible for allocating funds for the agricultural sector in general and for the rice sector in particular. The paper's recommendations will help mitigate the problems of the farming community, especially of the small farmers in securing the institutional credit.

The purpose of this paper is to examine the impacts of rural–urban migration on agricultural (labor) productivity in China.

This paper closely follows the framework of Rozelle et al. (1999), Taylor et al. (2003) and Atamanov and Van den Berg (2012)—new economics of labor migration—to demonstrate the heterogeneous effects of migration on agricultural productivity, using simultaneous equations extended by an interaction term of off-farm income and household wealth.

The results empirically verify two key theoretical predictions: the loss of labor available for agricultural activities decreases rice yield per worker per day, and the off-farm income that may relax liquidity constraints has a positive offsetting effect, which becomes weaker with increasing household wealth. The final calculation based on these two contradictory influences indicates that the lost-labor effect dominates across all levels of household wealth, resulting in a negative net impact of rural–urban migration on agricultural productivity. The key results are shown to hold for land productivity as well.

To the best of the author’s knowledge, it is the first paper to examine the impacts of rural–urban migration on labor productivity and the heterogeneity across households with different levels of wealth. A major policy issue facing national leaders is whether the massive and ongoing outflow of labor will be a threat to China’s rural development and its food security in the future. This paper provides insightful ideas in a different way.

The purpose of this study is to examine the impact of Anchor Borrowers Programme (APB) on youth rice farmers’ productivity (yield/ha).

Using cross-sectional data from youth rice farmers in Kaduna State, Northern Nigeria, probit regression was used to examine the determinants of participation in ABP amongst the youth rice farmers. In addition, the instrumental variable (IV) regression approach that could mitigate selection bias due to unobservable factors resulting from the cross-sectional nature of the data was also used to determine the impact of the ABP on rice productivity of youth farmers.

Findings from the study indicated that marital status, education, access to credit and membership of cooperative association were the significant determinants of participation in the ABP amongst the youth rice farmers.

The implication of the result is that participation in the ABP leads to an increase in yield by about 42.46%, which shows the effectiveness of the ABP in the study area.

This study provides a rigorous econometric analysis of the determinants of ABP and its impact on rice productivity amongst youth farmers in Northern Nigeria. Thus, the study recommends improvement in credit accessibility, participation in the cooperative association and more education of the farmers to sustain the inputs distribution aim of the ABP.

This study aims to evaluate the impact of climate change on some specific areas of agricultural production in Quang Nam Province, including assessing the possibility of losing agricultural land owing to sea level rise; assessing the impact on rice productivity; and, assessing the impact on crop water demand.

This study used the method of collecting and processing statistics data; method of analysis, comparison and evaluation; method of geographic information system; method of using mathematical model; and method of professional solution, to assess the impacts of climate change.

Evaluation results in Quang Nam Province show that, by the end of the 21st century, winter–spring rice productivity may decrease by 33%, while summer–autumn rice productivity may decrease by 49%. Under representative concentration pathway (RCP) 4.5 scenario, water demand increases by 31.1% compared to the baseline period, of which the winter–spring crop increases by 28.4%, and the summer–autumn crop increased by 34.3%. Under RCP 8.5 scenario, water demand increases by 54.1% compared to the baseline period, of which the winter–spring crop increases by 46.7%, and the summer–autumn crop increased by 63.1%. The area of agricultural land likely to be inundated by sea level rise at 50 cm is 418.32 ha, and at 80 cm, it is 637.07 ha.

To propose adaptation solution to avoid the impacts of climate change on agriculture, it is necessary to consider about the impact on losing land for agriculture, the impact on rice productivity, assess the impact on crop water demand and other. The result of this assessment is useful for policymakers for forming the agriculture development plan.