The Impact of Household Responsibility Systems on Farm Productivity

Author(s):  
Louis Putterman
Keyword(s):  
On Farm ◽  
Author(s):  
Caroline Dubbert ◽  
Awudu Abdulai

Abstract Many studies show that participation in contract farming has positive impacts on farm productivity and incomes. Most of the literature, however, does not take into account that contracts vary in their specifications, making empirical evidence scarce on the diverse impacts of different types of contracts. In this study, we investigate the driving forces of participation in marketing and production contracts, relative to spot markets. We also study the extent to which different contract types add additional benefits to smallholder farmers, using recent survey data of 389 cashew farmers in Ghana. To account for selection bias arising from observed and unobserved factors, we apply a multinomial endogenous switching regression method and implement a counterfactual analysis. The empirical results demonstrate that farmers who participate in production contracts obtain significantly higher cashew yields, cashew net revenues, and are more food secure compared to spot market farmers. We also find substantial heterogeneity in the impact of marketing and production contracts across scale of operation. Small sized farms that participate in production contracts tend to benefit the most. Marketing contracts, however, do not appear to benefit cashew farmers.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tongwei Qiu ◽  
Qinying He ◽  
S.T. Boris Choy ◽  
Yifei Li ◽  
Biliang Luo

PurposeThis study investigates the effect of renting in land on farm productivity, and the impacts of rented-in land size and transaction partner type on farm productivity.Design/methodology/approachData from the 2015 China Household Finance Survey are analyzed using an extended regression model and the two-stage least squares method.FindingsFarm households that rent in land are likely to achieve higher farm productivity, and ignoring endogeneity underestimates the positive effect of land renting-in. Further evidence indicates that rented-in land size has an insignificant impact on farm productivity, and that there is no difference in farm productivity between lessees renting-in land from acquaintances and those renting-in land from non-acquaintances. These results may be caused by the higher degree of marketization of land rentals between acquaintances in China. With increasing competition in agricultural factor markets, in theory, rented-in land size should not affect farm productivity.Practical implicationsOverall, the analysis suggests that renting in land improves farm productivity, which supports the land transfer policies that have been rolled out in recent decades in China. However, our finding that rented land size does not affect farm productivity, consistent with the results in the literature, implies that the Chinese government should no longer subsidize or prefer large farms with low productivity. More attention should be paid to small lessees and market-oriented land rentals between acquaintances. Promoting the marketization of land transfers inside acquaintance networks could realize the potential of the land market, especially if land transfers decrease.Originality/valueThis study identifies the effects of renting in land, rented-in land size and type of rental transaction partner on farm productivity using nationally representative data. The findings imply that the government should pay more attention to the marketization of land rentals between acquaintances. Although existing studies regard land rental between acquaintances as informal and of low efficiency, the recent evidence shows that China's land markets are changing, and policy makers should adjust their policies accordingly.


2019 ◽  
Vol 11 (3) ◽  
pp. 536-554 ◽  
Author(s):  
Yi Qing ◽  
Moyu Chen ◽  
Yu Sheng ◽  
Jikun Huang

Purpose The purpose of this paper is to investigate the impact of mechanization services on farm productivity in Northern China from an empirical perspective, with the aim to identify the underlying market and institutional barriers. Design/methodology/approach The authors apply the regression method with the control of village fixed effects to examining the relationship between capital–labor ratio, mechanization service ratio and farm productivity, using the panel data collected in 2013 and 2015 by CCAP. Findings Mechanization services improve farm productivity through substituting labor, but it may generate a less positive impact on farms who do not have self-owned capital equipment. Originality/value It is the first study to investigate how mechanization services affect farm productivity for grain producers in Northern China.


Author(s):  
Norma Gomez

Purpose – This paper aims to assess the vulnerability of the farmer-respondents in Southern Philippines, specifically Region XI and XII, to climate change. Design/methodology/approach – This study conducted an empirical analysis of the impact of climate change on maize (Zea mays), banana (Musa sapientum) and durian (Durio zibethinus) production. Furthermore, it estimated the determinants of adaptation to climate change and its corresponding effect on farm productivity. The analysis used primary data from 541 farmer-respondents producing maize, banana and durian in the 6 provinces and 18 municipalities of the sample areas. Findings – Based on the probit estimate results, farmers adaptation decisions were influenced by information about future climate change conditions, social capital, access to formal extension and farmer-to-farmer extension. The author found from the stochastic frontier estimation in the production function that climate change adaptations exerted a significant impact on farm productivity. It helped in coping with the adverse effects and risk of climate change while increasing agricultural productivities of the farmer-respondents. Originality/value – This research paper will be an addition to the body of knowledge on the socioeconomic aspects on the climate change and adaptation on the production of maize, banana and durian in the case of a developing country like Southern Philippines. This will bring more insights into the adaptation strategies that are crucial to cope with climatic variability and change.


2019 ◽  
Vol 47 (3) ◽  
pp. 1045-1093 ◽  
Author(s):  
Philipp Mennig ◽  
Johannes Sauer

Abstract According to WTO standards, agri-environmental schemes (AES) payments should distort neither trade nor production but instead only compensate for income forgone and costs incurred. At the same time, contract design shall give farmers enough flexibility to react to changing market and production conditions. We apply a difference-in-difference propensity score matching estimator to test if AES have an unintended effect on farm productivity. Our results suggest that schemes designed for arable land overcompensate farmers and thus do fail to comply with WTO rules. For dairy farms, we find that AES participation reduces farm productivity, implying that action-based scheme design not considering changing market and production situations might be too restrictive, potentially preventing farmers from participating.


Author(s):  
Bhargab Das ◽  
Debakshi Bora

Floods have threatened the agricultural productivity in Assam every year. Quality of soil, which is one of the important factors, that determines the production and income of farm, has been damaged by flood. Various study and secondary data reveal that deposition of sand due to flood has negative impact on farm productivity. This paper tries to investigate the impact of flood induced sand deposition and other factors on farm productivity in Dhemaji district, one of the mostly flood effected area of Assam. The study is based on primary survey which included 10 flood effected villages and 276 agricultural plots for testing the quality of soil. After testing the soil quality, the paper attempts to establish the relationship between quality of soil and paddy productivity. To identify the factors affecting the productivity of the paddy and estimate the damage due to flood induced sand deposition, the study used regression models by taking productivity of paddy as dependent variable. The regression model is estimated using Ordinary Least Square (OLS) method. In order to ensure the validity of OLS results, this study also tested a Tobit model. Results of the paper revealed that sand deposition created huge damage to the paddy fields and poor agricultural outcomes from the degraded lands were forcing people to look for other livelihood and opportunities.


Author(s):  
Sobnam Sultana ◽  
Pabitra K. Das ◽  
Dipankar Saikia ◽  
Indrajit Barman

The present study was conducted in Lakhimpur district of Assam to measure the impact of the interventions of the National Innovations on Climate Resilient Agriculture (NICRA) Project on farm income and farm productivity of the participant farmers. A total of 160 farmers (80 NICRA participant farmers and 80 non-participant farmers) were selected randomly for the purpose. The data were collected by a personal interview with the help of a structured schedule. The data collected were classified, tabulated and statistically analyzed. The findings of the study revealed that majority of the participant farmers (68.75%) were in the medium farm income category, while non-participant farmers (81.25%) were in the low farm income category. Majority of both participant farmers and non-participant farmers (63.75%) had a medium level of rice productivity. Majority of the participant farmers (62.50%) had a medium level of productivity of potato crop while most of the non-participant farmers (56.25%) had a medium level of productivity of potato crop Majority of the participant farmers (56.25%) had a medium level of productivity of rapeseed crop while the majority of the non-participant's farmers (67.50%) had a low level of productivity of rapeseed crop.


2017 ◽  
Vol 4 (1) ◽  
pp. 9-21 ◽  
Author(s):  
Musa Hasen Ahmed ◽  
Kassahun Mamo Geleta ◽  
Aemro Tazeze ◽  
Eden Andualem

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