scholarly journals Off-Farm Employment Effects on Adoption of Nutrient Management Practices

2011 ◽  
Vol 40 (2) ◽  
pp. 293-306 ◽  
Author(s):  
Haluk Gedikoglu ◽  
Laura McCann ◽  
Georgeanne Artz
Keyword(s):  
Household Income ◽  
Management Practices ◽  
Nutrient Management ◽  
Negative Impact ◽  
Positive Impact ◽  
Farm Income ◽  
Conservation Practices ◽  
Record Keeping ◽  
Employment Effects ◽  
The Impact

Off-farm income as a share of total farm household income has been increasing. Previous studies found inconsistent results regarding the impact of off-farm income on adoption of conservation practices. We test the hypothesis that off-farm employment has a positive impact on adoption of capital incentive practices and a negative impact on adoption of labor-intensive practices. The results confirm that adoption of injecting manure into the soil, a capitalintensive practice, is positively and significantly impacted by off-farm employment of the operator. However, off-farm employment variables had no effect on adoption of record keeping.

scholarly journals Impact of Better Management Practices on Sustainable Cotton Production: Evidence from South Punjab

2019 ◽  
Vol 1 (3) ◽  
pp. 92-97
Author(s):  
Tayyaba Hina ◽  
Muhammad Asad ur Rehman Naseer
Keyword(s):  
Management Practices ◽  
Negative Impact ◽  
Positive Impact ◽  
Farmyard Manure ◽  
Agricultural Practices ◽  
Positive Sign ◽  
Cotton Production ◽  
Data Set ◽  
Adoption Rate ◽  
The Impact

The basic purpose of this study was to look at the position of Better Management Practices (BMPs) of cotton crop in order to reduce the burden on our natural scarce resources. Relevant information was taken from 150 respondents from the district Khanewal, Punjab. The results of this study revealed that the education level and landholding size of respondents have a positive impact on the adoption of sustainable agricultural practices. While the farmer’s age and farming experience were found a negative impact on BMPs adoption rate. Similarly, contact of respondents with the staff of farmer’s field schools and the number of visits of farmer’s field school staff were found positively correlated to BMPs adoption rate. The results of the regression analysis revealed the impact of different agriculture inputs and BMPs on cotton yield. The results showed that the age of the farmers, education, fertilizer, irrigations, water scouting, cotton area, farmyard manure, and hybrid seed variety and sowing method had a positive sign while the sign of pesticide coefficient was negative. The gross margins of BMPs adopter and non-adopter were 45,955 PKR and 28,790 PKR per acre respectively. The model also indicated that the production function fits well with the given data set. Therefore, the results of this study conveyed policy messages for the private and public organizations to promote BMPs for the betterment of the farming community.

scholarly journals THE IMPACT OF FISCAL POLICY TOWARD ECONOMIC PERFORMANCE AND POVERTY RATE IN INDONESIA

2010 ◽  
Vol 12 (4) ◽  
pp. 391-424
Author(s):  
Indra Maipita ◽  
Mohd. Dan Jantan ◽  
Nor Azam Abdul Razak
Keyword(s):  
Fiscal Policy ◽  
Income Distribution ◽  
Economic Performance ◽  
Household Income ◽  
Negative Impact ◽  
Positive Impact ◽  
Poverty Rate ◽  
Policy Measures ◽  
The Government ◽  
The Impact

The government is continuously formulating some policies in order to boast economic growth and downsize poverty rate. However, the government is facing some obstacles such as an increasingly in budget deficit which is potentially impacting to the determining of priority scale as well as the pro and contra within it. Based on that consideration, economic policy is needed to be revised and redesigned in order to meet the need of pro growth, pro job, and pro poor. Generally, this research aims to examine the impact of an expansion and contraction of fiscal policy measures on Indonesia economic performance. For the purpose of this study, the change of macro economic indicators, economic sector performance, and the change of poverty and income distribution are examined using the Computable General Equilibrium (CGE) model. In order to evaluate the disparity of income distribution, beta distribution function is used which is adopted from Decaluwe, et al. (1999). This study employs Foster, Greer, and Thorbecke (F-G-T) and Cockburn (2001) methods to evaluate poverty (poverty incidence) on each household group. The results of this study show that the impact of an increase in subsidy is more favourable than two others fiscal policy measures. Even though the policy of transfer income gives a positive impact for the upsizing of rural household income and the downsizing in poverty, but on the other hand it has negative impact on others household income which aggregately has a negative impact on the decreasing of GDP. JEL Classification: I32, E62.Keywords: fiscal policy, poverty, income distribution

INFLUENCE OF GREENHOUSE SHADING AND DIFFERENT NUTRIENT MANAGEMENT PRACTICES ON ALLEVIATING HEAT STRESS, IMPROVING PLANT NUTRIENTS STATUS, FLOWERING GROWTH AND YIELD OF TOMATO

2020 ◽  
Vol 51 (4) ◽  
pp. 1001-1014
Author(s):  
Sulaiman & Sadiq
Keyword(s):  
Heat Stress ◽  
Management Practices ◽  
Nutrient Management ◽  
Block Design ◽  
Nutrient Status ◽  
Growth And Yield ◽  
Reproductive Growth ◽  
Positive Effects ◽  
Nutrition Programs ◽  
The Impact

The experiment was conducted in a greenhouse during 2017 and 2018 growing seasons to evaluate the impact of the shading and various nutrition programs on mitigating heat stress, reducing the use of chemical minerals, improving the reproductive growth and yield of tomato plant. Split-plot within Randomized Complete Block Design (RCBD) with three replications was conducted in this study. Shading factor was allocated in the main plots and the nutrition programs distributed randomly in the subplots. Results indicate that shading resulted in the decrease of daytime temperature by 5.7˚C as an average for both seasons; thus a significant increasing was found in leaf contents of macro nutrients (Nitrogen, Phosphorous, and Potassium), and micro nutrients (Iron, Zinc and Boron), except the Iron content in 2018 growing season. Furthermore, shading improved significantly the reproductive growth and tomato yield. Among the plant nutrition programs, the integrated nutrient management (INM) including the application of organic substances, bio inoculum of AMF and 50% of the recommended dose of chemical fertilizers; lead to the enhancement of nutrients content, reproductive characteristics and plant yield. Generally, combination of both shading and INM showed positive effects on plants nutrient status and persisting balance on tomato flowering growth and fruits yield.

043 Sleep Restriction Affects Memory in Healthy Adults: Preliminary Findings

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A18-A19
Author(s):  
Molly Zimmerman ◽  
Christiane Hale ◽  
Adam Brickman ◽  
Lok-Kin Yeung ◽  
Justin Cochran ◽  
...  
Keyword(s):  
Working Memory ◽  
Negative Impact ◽  
Positive Impact ◽  
Healthy Adults ◽  
Task Demands ◽  
Sleep Restriction ◽  
Neuropsychological Function ◽  
Wake Time ◽  
Sleep Condition ◽  
The Impact

Abstract Introduction Sleep loss has a range of detrimental effects on cognitive ability. However, few studies have examined the impact of sleep restriction on neuropsychological function using an experimental design. The goal of this study was to examine the extent to which maintained insufficient sleep affects cognition in healthy adults compared to habitual adequate sleep. Methods This study used a randomized, crossover, outpatient sleep restriction design. Adults who regularly slept at least 7 h/night, verified by 2 weeks of screening with actigraphy, completed 2 phases of 6 weeks each: habitual sleep (>7 h of sleep/night) or sleep restriction (habitual sleep minus 1.5 h) separated by a 6-week washout period. During the sleep restriction phase, participants were asked to delay their bedtime by 1.5 hours/night while maintaining their habitual wake time. Neuropsychological function was evaluated with the NIH Toolbox Cognition Battery at baseline (week 0) and endpoint (week 6) of each intervention phase. The NIH Toolbox evaluates a range of cognitive abilities, including attention, executive functioning, and working memory. General linear models with post hoc paired t-tests were used to assess demographically-adjusted test scores prior to and following each sleep condition. Results At the time of analyses, 16 participants were enrolled (age 34.5□14.5 years, 9 women), 10 of whom had completed study procedures. An interaction between sleep condition and testing session revealed that individuals performed worse on List Sorting, a working memory test, after sleep restriction but improved slightly after habitual sleep (p<0.001). While not statistically reliable, the pattern of test results was similar on the other tests of processing speed, executive function, and attention. Conclusion In these preliminary results from this randomized experimental study, we demonstrated that sleep restriction has a negative impact while stable habitual adequate sleep has a positive impact on working memory, or the ability to temporarily hold information in mind while executing task demands. This finding contributes to our understanding of the complex interplay between different aspects of sleep quality (i.e., both sleep restriction as well as the maintenance of stable sleep patterns) on cognition and underscores the importance of routine sleep screening as part of medical evaluations. Support (if any):

scholarly journals Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

2021 ◽  
Vol 13 (8) ◽  
pp. 4513
Author(s):  
Summaira Malik ◽  
Muhammad Taqi ◽  
José Moleiro Martins ◽  
Mário Nuno Mata ◽  
João Manuel Pereira ◽  
...  
Keyword(s):  
Project Success ◽  
Negative Impact ◽  
Positive Impact ◽  
Construction Project ◽  
Project Team ◽  
Relationship Conflict ◽  
Team Members ◽  
Mediating Role ◽  
The Impact

The success of a construction project is a widely discussed topic, even today, and there exists a difference of opinion. The impact of communication and conflict on project success is an important, but least addressed, issue in literature, especially in the case of underdeveloped countries. Miscommunication and conflict not only hinder the success of a project but also may lead to conflicts. The focus of this paper was to examine the impact of communication on project success with the mediating role of conflict. By using SPSS, demographics, descriptive statistics and correlation were determined. Smart PLS version 3.0 was used for confirmatory factor analysis (CFA), internal accuracy and validity estimates, hypothesis checking and mediation testing. The results showed that formal communication has a negative impact on the success of a construction project, resulting in conflicts among project team members, whereas informal communication and communication willingness have a positive impact on project success because people tend to know each other, and trust is developed. Task, process and relationship conflicts were used as mediating variables. It was found that task conflict effects the relations positively because project team members suggest different ways to do a certain task, and, hence, project success is achieved. On the contrary, process conflict and relationship conflict have a negative impact on communication and project success. Both of these conflicts lead to miscommunication, and project success is compromised. Hence, it is the responsibility of the project manager to enhance communication among project team members and to reduce the detrimental effects of process and relationship conflict on project success.

scholarly journals Environmental Regulation, Environmental Awareness and Environmental Governance Satisfaction

2021 ◽  
Vol 13 (7) ◽  
pp. 3960
Author(s):  
Meng-Meng Geng ◽  
Ling-Yun He
Keyword(s):  
Environmental Regulation ◽  
Environmental Governance ◽  
Negative Impact ◽  
Positive Impact ◽  
Subjective Evaluation ◽  
Environmental Awareness ◽  
General Social Survey ◽  
Probit Model ◽  
The People ◽  
The Impact

It is a problem worth thinking about whether the government’s environmental regulation policies can meet the residents’ requirements for environmental quality, and benefit the people. The study of the public’s subjective evaluation can more intuitively judge whether the government’s environmental regulation has realized “ecological benefits for the people”. Based on the data of the Chinese General Social Survey (CGSS) in 2013, this paper studied the impact of environmental regulation and environmental awareness on environmental governance satisfaction by an ordered probit model. The study found that environmental regulation has a significant positive impact on environmental governance satisfaction, while environmental awareness has a significant negative impact on environmental governance satisfaction. We also found that when public environmental awareness is taken into account, the positive relationship between environmental regulation and environmental governance satisfaction is affected. The robustness test proved this conclusion.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

The Impact of the Business Environment on the Formalization of Informal Firms. The Case of Kosovo

Südosteuropa ◽  
2020 ◽  
Vol 68 (4) ◽  
pp. 505-529
Author(s):  
Kujtim Zylfijaj ◽  
Dimitar Nikoloski ◽  
Nadine Tournois
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Business Environment ◽  
Positive Influence ◽  
Policy Implications ◽  
Tax Reforms ◽  
Firm Level ◽  
Characteristics Analysis ◽  
Significant Negative Impact ◽  
The Impact

AbstractThe research presented here investigates the impact of the business environment on the formalization of informal firms, using firm-level data for 243 informal firms in Kosovo. The findings indicate that business-environment variables such as limited access to financing, the cost of financing, the unavailability of subsidies, tax rates, and corruption have a significant negative impact on the formalization of informal firms. In addition, firm-level characteristics analysis suggests that the age of the firm also exercises a significant negative impact, whereas sales volume exerts a significant positive impact on the formalization of informal firms. These findings have important policy implications and suggest that the abolition of barriers preventing access to financing, as well as tax reforms and a consistent struggle against corruption may have a positive influence on the formalization of informal firms. On the other hand, firm owners should consider formalization to be a means to help them have greater opportunities for survival and growth.

scholarly journals The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana

2021 ◽  
Vol 13 (3) ◽  
pp. 1059
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Bismark Addai ◽  
Zhao Ding ◽  
Abbas Ali Chandio ◽  
...  
Keyword(s):  
Peer Influence ◽  
Household Income ◽  
Sample Selection ◽  
Institutional Arrangement ◽  
Fish Farm ◽  
Farm Income ◽  
Switching Regression ◽  
Farm Work ◽  
Household Heads ◽  
The Impact

The emergence of agricultural cooperatives is extensively viewed as a necessary institutional arrangement that can help farmers in developing countries overcome the constraints that impede them from improving sustainable agricultural production and acquiring new marketing opportunities. Therefore, this study examines the determinants of cooperative membership and its impact on fish farm household income, using data collected from two regions in Ghana. An endogenous switching regression (ESR) model is utilized to address the potential sample selection bias issue. The results show that household heads’ decisions to join cooperatives are affected by their access to credit, off-farm work, education level, and peer influence. Cooperative membership can increase both household and farm income by 28.54% and 34.75%, respectively. Moreover, we show that different groups of households’ cooperative impacts on farm and household income are heterogeneous. Our findings highlight the importance of cooperative patronization and provide implications that can improve households’ welfare.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

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