scholarly journals Farm labor productivity and the impact of mechanization

Author(s):  
Stephen F. Hamilton ◽  
Timothy J. Richards ◽  
Aric P. Shafran ◽  
Kathryn N. Vasilaky
Author(s):  
Omer Combary ◽  
Salimata Traore

Abstract This article has used the method of instrumental variables to evaluate the impact of health services on the productivity of rural households’ farming labor in Burkina Faso. The distance from the household's homestead to the Health and Social Promotion Center (HSPC) was considered as an instrumental variable. The results revealed that resorting to a HSPC in case of an unexpected illness in the rainy season significantly improves the farm labor productivity by FCFA 3170.5880 per person-day. For improving agricultural productivity, we suggest that public decision-makers should focus on the availability and the quality of HSPC services in rural areas.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Andu Nesrey Berha ◽  
Yohannes Kefale Mogess ◽  
Mengistu Alamneh Wassie

Abstract Background Among others, the productive use of surplus labor is a viable mechanism to transform the agricultural sector and thus the whole economy in low-income countries. It is critically important to understand the factors that condition labor productivity to design and deploy effective agricultural and labor market policies. A few studies confirm that, at low-income levels, improving nutrition can contribute to the labor productivity of households. These studies rely heavily on self-reported farm data, which are prone to systematic and random measurement errors. The empirical evidence on this topic remains inadequate and inconclusive for this reason. Here, we substantiate whether better nutritional status enhances the labor productivity of farm households using objective measures of plot-level data from a recent household survey in Ethiopia. We also employ alternative measures of nutrition status indicators known as, Food Consumption Score (FCS) and Household Dietary Diversity Score (HDDS), inter alia, to capture additional aspects of nutrition such as diet quality and diversity, which are overlooked by calorie intake data. To deal with possible endogeneity, we employ a panel fixed effect estimation technique with a rich set of household socioeconomic and plot characteristics. Results We observe that the impact of current nutritional status, as measured by HDDS, on labor productivity varies considerably depending on the initial level of diet quality and diversity with a stronger and positive effect for low-consumption households. In an alternative specification, we also observe a positive farm labor productivity effect of current nutritional status as measured by FCS with a homogenous effect across households. However, the effect of the outcome of past nutritional status as evaluated by the Activity of Daily Living Index (ADLI) seems negligible. Conclusion Our findings indicate that improving nutrition can contribute to farm labor productivity at least for households with low current diet quality and diversity. Also, based on the findings, we conclude that there is a possibility of a low consumption–low productivity trap in Ethiopia.


2021 ◽  
pp. 11-20
Author(s):  
Federico Castillo ◽  
Armando Sánchez Vargas ◽  
J. K. Gilless ◽  
Michael Wehner

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 466
Author(s):  
Xi Yu ◽  
Xiyang Yin ◽  
Yuying Liu ◽  
Dongmei Li

Agricultural machinery services play an increasingly important role in the land transfer market, especially in developing countries. Prior studies have explored the impact factors of machinery use on agricultural production and land transfer, respectively. However, little research has focused on the relationship between the adoption of agricultural machinery services and the land transfer of rice farmers. To bridge this gap, this study investigated the correlation between machinery services and land transfer, using unique survey data of 810 rice farmers collected from Sichuan province in China. Additionally, this study further explored the impact mechanism on land transfer of rural households with IV-Probit and IV-Tobit models. The empirical results show the following: (i) Agricultural machinery services have a significantly positive and robust effect on both the incidence and area of rice farmers’ land transfer-in, while the impact degree is different. Specifically, with other conditions remaining unchanged, and with a 1% increase in the proportion of machinery services, the average probability of land transfer-in of rice farmers increased by 2.4%, and the area of land transfer-in increased by 13.4 mu, on average. (ii) For control variables, head education, agricultural certificates and whether the majority of land, are in a flat area have positive impacts on land transfer-in behavior. Yet, age and off-farm labor have a negative impact on land transfer-in area. Moreover, our findings highlight the importance of agricultural machinery services in stimulating the development of rural land rental markets.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3667
Author(s):  
Claudia Diana Sabău-Popa ◽  
Luminița Rus ◽  
Dana Simona Gherai ◽  
Codruța Mare ◽  
Ioan Gheorghe Țara

In this paper we analyzed the link between companies’ performance, in terms of cash and income, and the labor productivity or management rates, in case of the companies from the energy sector listed on the Bucharest Stock Exchange. We focused on the energy sector because of the impact that its expansion has on the evolution of economies around the world and because of its dynamics in the sense of gradually shifting to the use of energy from renewable sources. We have used panel regression models to analyze the operating cash flow and the profitability rates and the determination of a causal or dependency relationship with labor productivity or management rates. The results of this study show a significant negative correlation between operating cash flows and the average duration of stock rotation, and no correlation between productivity and the operating cash flow. Instead, the average duration of stock turnover does not at all influence the profitability rates, and productivity is always significant for the return on assets, ie forthe return on equitywith a positive coefficient, as expected. The gap between the average duration of payment of suppliers and the average duration of receivables does not significantly influence neither the cash flow nor the rates of return.


2017 ◽  
Vol 15 ◽  
pp. 04017 ◽  
Author(s):  
Galina Pinigina ◽  
Irina Kondrina ◽  
Svetlana Smagina ◽  
Viktor Tatsienko ◽  
Anatoliy Meshkov

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xueli Chen ◽  
Wanshu Ma ◽  
Vivian Valdmanis

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.


Author(s):  
Zain Ghazi Al-Kofahi ◽  
Amirsaman Mahdavian ◽  
Amr Oloufa

It is vital to investigate the system dynamics (SD) between the change orders and labor productivity to identify the causes of the productivity loss of the construction projects. Most productivity loss studies were financed from the contractor’s part and rely on the contractor’s data. This research highlighted the problem of productivity loss resulting from issuance of a change order by utilizing a previously developed SD model. It conducted a sensitivity analysis to evaluate the impact of overtime, overmanning, temperature and learning on the behavior of the SD model quantifying change orders' impact on labor productivity. Based on the results, SD provides more reliable results comparing with the measured mile analysis (MMA) approach for the compensation request, considering the leading factors affecting the productivity loss other than the change order. The model developed in this study can accept or reject the responsibility of a change order for occurrence of productivity loss.


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