Farm Tractorization, Fertilizer Use and Productivity of Mexican Wheat in Pakistan

1981 ◽  
Vol 20 (3) ◽  
pp. 323-345 ◽  
Author(s):  
Abdul Salam
Keyword(s):  
Comparative Analysis ◽  
Survey Data ◽  
Production Function ◽  
Significant Contribution ◽  
Function Analysis ◽  
Wheat Crop ◽  
Chemical Fertilizers ◽  
Yield Data ◽  
Fertilizer Use ◽  
The Impact

Using survey data the impact of tractorization on wheat productivity is examined in this paper. A comparative analysis of yield data indicates that wheat yields on tractor farms are significantly higher than those on bullock farms. It is also found that tractor farms use higher amounts of chemical fertilizers on their wheat crop. The results of production function analysis also confirm the significant contribution of tractorization in achieving higher wheat yields.

A modified production function analysis of changing southern forest productivity

1991 ◽  
Vol 21 (8) ◽  
pp. 1278-1287 ◽  
Author(s):  
David H. Newman
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Public Lands ◽  
Forest Productivity ◽  
Southern States ◽  
The Past ◽  
Lower Productivity ◽  
Aggregate Production Function ◽  
The Impact ◽  
Productivity Gains

The analysis in this paper measures changes in forest productivity for 12 southern states using a modified, aggregate production function. The function combines cross section – time series, biological, and acreage data to estimate the shift in productivity, measured as either standing inventory plus removals or changes in inventory plus removals, over the past 4 decades. The annual shift in productivity is estimated to be approximately 0.5% for the standing volume measures used. However, productivity gains in the region have virtually stopped during the past decade. The largest contributions to productivity gains were from industrially owned lands and land managed as planted pine. Mixed pine–hardwood stands and public lands (except for plantations) showed lower productivity impacts. These results present an essential component for understanding the impact of technical change on aggregate forest productivity in the southern United States.

scholarly journals Business results change under effects of farm size and degree of production specialization

2003 ◽  
Vol 48 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Ljubomir Bastajic
Keyword(s):  
Regression Analysis ◽  
Comparative Analysis ◽  
Correlation Analysis ◽  
Production Function ◽  
Function Analysis ◽  
Economic Effects ◽  
Farm Size ◽  
Business Results ◽  
Cultivable Land ◽  
Business Conditions

The study was conducted with the objective of analyzing the economic effects provoked by the change in farm size, depending on the degree of production specialization (questionnaires encompassing 30 farms of different size were used) using comparative analysis, regression analysis, correlation analysis and production function analysis. Research comprised essential parameters of business conditions on the farms and results of their business. The farms analyzed were classified according to the size of used cultivable land and degree of production specialization. In both farm groups, with different degrees of production specialization, the indices of business results were found to rise with size increase and were noticed to be the most favorable in the case of over 10 ha-farms. Comparing farms of identical size but of different degree of specialization, the following may be concluded: more favorable business results were achieved on farms with higher degree of specialization.

scholarly journals HIV INFECTION AMONG PATIENTS WITH TUBERCULOSIS IN MOSCOW

2018 ◽  
Vol 23 (4) ◽  
pp. 178-185
Author(s):  
Mikhail Valerevich Sinitsyn ◽  
S. E. Borisov ◽  
E. M. Belilovskiy ◽  
E. M. Bogorodskaya
Keyword(s):  
Comparative Analysis ◽  
Hiv Infection ◽  
Monitoring System ◽  
Drug Users ◽  
Significant Contribution ◽  
Age Group ◽  
Tuberculosis Patients ◽  
Number Of Patients ◽  
The Impact ◽  
Epidemiological Situation

The study is devoted to the evaluation of the impact of the spread of HIV infection on the epidemiological indicators of tuberculosis in a megacity. Based on information from the registers of the tuberculosis monitoring system in Moscow for 2014-2015. A comparative analysis of indicators for patients with tuberculosis was conducted with the presence and absence of co-infected HIV infection. The results showed that among patients with tuberculosis combined with HIV infection, patients from the city’s permanent population, from the age group of 31-40 years old, non-working, injecting drug users are much more likely than other TB patients. The number of tuberculosis patients who died of HIV infection, in comparison with the number of patients who died from tuberculosis, accounted for more than a third of the total number of tuberculosis-related deaths. Thus, when assessing the epidemiological situation of tuberculosis, it is necessary to take into account the significant contribution of HIV infection to the values of the main indicators and their dynamics.

scholarly journals The intensification of the outer suburbs and the impact on travel behaviour: an analysis of York Region

2021 ◽  
Author(s):  
Paul Grove
Keyword(s):  
Comparative Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Survey Data ◽  
Public Transit ◽  
Travel Behaviour ◽  
Reverse Effect ◽  
Mode Split ◽  
In Transit ◽  
The Impact

In an effort to retrofit outer suburban municipalities to be more supportive of public transit, and less oriented toward private auto, intensification is being practiced throughout the Greater Golden Horseshoe. York Region, an outer suburban municipality undergoing intensification, has been selected for analysis. This report studies TTS (Transportation Tomorrow Survey) data using multiple linear regression, as well as comparative analysis to evaluate the effect an increase in density has upon transit modal split. Findings align strongly with reviewed literature. Findings are that while density and transit mode split are positively statistically correlated, the impact density is estimated to have on transit mode split is minimal. This suggests intensifying the outer suburbs may have the reverse effect of increasing auto traffic at the expense of small increases in transit mode split. A series of recommendations regarding transportation policies for outer suburban municipalities are then provided to coexist with intensification policies.

scholarly journals III Health and agricultural production: Evidence from Kogi State of Nigeria

2014 ◽  
Vol 14 (61) ◽  
pp. 8488-8503
Author(s):  
U Onuche ◽  
◽  
HI Opaluwa ◽  
MH Edoka
Keyword(s):  
Production Function ◽  
Rural Areas ◽  
Agricultural Production ◽  
Formal Education ◽  
Function Analysis ◽  
Farm Size ◽  
Development Effort ◽  
Farm Work ◽  
Household Heads ◽  
The Impact

This study was carried out to analyse the impact of ill health on agricultural outputs in rural areas of Kogi state, central Nigeria. The motivation derives from the fact that rural areas which are strategically important for national food security are more prone to health hazards as a result of the poor nature of health services arising partly from neglect by government. The objectives were to present the socioeconomic characteristics of the rural farm households and identify the prevailing health and agricultural production nexus in the area. The use of multistage random sampling procedure was employed in the selection of 263 rural households for questionnaire administration in order to elicit relevant data related to their farming enterprises and health. The use of descriptive statistics and production function analysis were employed. The study revealed that the average age of the household heads was 46.4 years while the average household size was 6.5 persons. Also, the average farm size was 1.43 ha and the average number of years of formal education was found to be 7.4. Furthermore, the study revealed that the most prominent disease conditions affecting farm families were malaria fever, typhoid fever and diarrhea and these led to an average of 8.2 days reduction in time available for farm work in a farming season. Result from the production function analysis revealed that the elasticities of farm size (0.419), family size (0.099), number of contacts with extension staff (0.018), labour (0.012) and naira amount of credit accessed (0.25) were positively signed and significant at 1%, 10%, 1%, 5% and 1% respectively; while number of days of farm work lost to ill health was negatively signed (-0.09) and significant at 5%. Findings suggest that focusing on number of days of farming activities lost to ill health in a household might help elicit a clearer picture of the effect of transient ill health on agricultural production. More research and development effort in the provision of and accessibility to health care in the rural areas in order to reduce the incidence of diseases are recommended. Such efforts should also include the provision of adequate health and environmental education for the rural population as the most common ailments discovered in the study area are actually hygiene and environment related.

scholarly journals The intensification of the outer suburbs and the impact on travel behaviour: an analysis of York Region

2021 ◽  
Author(s):  
Paul Grove
Keyword(s):  
Comparative Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Survey Data ◽  
Public Transit ◽  
Travel Behaviour ◽  
Reverse Effect ◽  
Mode Split ◽  
In Transit ◽  
The Impact

In an effort to retrofit outer suburban municipalities to be more supportive of public transit, and less oriented toward private auto, intensification is being practiced throughout the Greater Golden Horseshoe. York Region, an outer suburban municipality undergoing intensification, has been selected for analysis. This report studies TTS (Transportation Tomorrow Survey) data using multiple linear regression, as well as comparative analysis to evaluate the effect an increase in density has upon transit modal split. Findings align strongly with reviewed literature. Findings are that while density and transit mode split are positively statistically correlated, the impact density is estimated to have on transit mode split is minimal. This suggests intensifying the outer suburbs may have the reverse effect of increasing auto traffic at the expense of small increases in transit mode split. A series of recommendations regarding transportation policies for outer suburban municipalities are then provided to coexist with intensification policies.

scholarly journals HIV INFECTION AMONG PATIENTS WITH TUBERCULOSIS IN MOSCOW

2018 ◽  
Vol 23 (4) ◽  
pp. 178-185
Author(s):  
Mikhail Valerevich Sinitsyn ◽  
S. E. Borisov ◽  
E. M. Belilovskiy ◽  
E. M. Bogorodskaya
Keyword(s):  
Comparative Analysis ◽  
Hiv Infection ◽  
Monitoring System ◽  
Drug Users ◽  
Significant Contribution ◽  
Age Group ◽  
Tuberculosis Patients ◽  
Number Of Patients ◽  
The Impact ◽  
Epidemiological Situation

The study is devoted to the evaluation of the impact of the spread of HIV infection on the epidemiological indicators of tuberculosis in a megacity. Based on information from the registers of the tuberculosis monitoring system in Moscow for 2014-2015. A comparative analysis of indicators for patients with tuberculosis was conducted with the presence and absence of co-infected HIV infection. The results showed that among patients with tuberculosis combined with HIV infection, patients from the city’s permanent population, from the age group of 31-40 years old, non-working, injecting drug users are much more likely than other TB patients. The number of tuberculosis patients who died of HIV infection, in comparison with the number of patients who died from tuberculosis, accounted for more than a third of the total number of tuberculosis-related deaths. Thus, when assessing the epidemiological situation of tuberculosis, it is necessary to take into account the significant contribution of HIV infection to the values of the main indicators and their dynamics.

scholarly journals Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield

2020 ◽  
Vol 23 (3) ◽  
pp. S59-S80
Author(s):  
Michael Keane ◽  
Timothy Neal
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
Production Function ◽  
Fixed Effects ◽  
Data Models ◽  
Corn Yield ◽  
Panel Data Models ◽  
Yield Data ◽  
Impact Of Climate Change ◽  
The Impact

Summary Predicting the impact of climate change on crop yield is difficult, in part because the production function mapping weather to yield is high dimensional and nonlinear. We compare three approaches to predicting yields: (a) deep neural networks (DNNs), (b) traditional panel-data models, and (c) a new panel-data model that allows for unit and time fixed effects in both intercepts and slopes in the agricultural production function—made feasible by a new estimator called Mean Observation OLS (MO-OLS). Using U.S. county-level corn-yield data from 1950 to 2015, we show that both DNNs and MO-OLS models outperform traditional panel-data models for predicting yield, both in-sample and in a Monte Carlo cross-validation exercise. However, the MO-OLS model substantially outperforms both DNNs and traditional panel-data models in forecasting yield in a 2006–2015 holdout sample. We compare the predictions of all these models for climate change impacts on yields from 2016 to 2100.

Corruption as “one‑stop‑shop”: theory and empirical analysis

2018 ◽  
pp. 32-51
Author(s):  
R. Yu. Kochnev ◽  
L. I. Polishchuk ◽  
A. Yu. Rubin
Keyword(s):  
Comparative Analysis ◽  
Business Environment ◽  
Enterprise Performance ◽  
Double Jeopardy ◽  
One Stop ◽  
The Commons ◽  
Public Production ◽  
Performance Project ◽  
The Impact ◽  
Sector Theory

We present the comparative analysis of the impact of centralized and decentralized corruption for private sector. Theory and empirical evidence point out to a “double jeopardy” of decentralized corruption which increases the burden of corruption upon private firms and weakens the incentives of bureaucracy to provide public production inputs, such as infrastructure. These outcomes are produced by simultaneous free-riding and the tragedy of the commons effects. The empirical part of the paper utilizes data of the Business Environment and Enterprise Performance project.

Materialism and Green Purchase Intention: A Study of Urban Vietnamese Consumers

2017 ◽  
pp. 89-106 ◽  
Author(s):  
Mai Nguyen Thi Tuyet ◽  
Hung Nguyen Vu ◽  
Linh Nguyen Hoang ◽  
Minh Nguyen Hoang
Keyword(s):  
Conceptual Framework ◽  
Survey Data ◽  
Purchase Intention ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Perceived Behavioral Control ◽  
Policy Makers ◽  
Tpb Model ◽  
Research Findings ◽  
The Impact

This study focuses on examining the impact of three components of materialism on green purchase intention for urban consumers in Vietnam, an emerging economy. An extended Theory of Planned Behavior (TPB) is applied as the conceptual framework for this study. The hypotheses are empirically tested using survey data obtained from consumers in Hanoi, the capital of Vietnam. The regression results show support for most of our hypotheses. The findings indicate that two out of three facets of materialism are significant predictors of green purchase intention. Specifically, success is found to be negatively related to purchase intention, while happiness is related positively to the intention. All three antecedents in the TPB model, including attitude towards green purchase, subjective norm, and perceived behavioral control are also found to have positive impacts on purchase intention. The research findings are discussed and implications for managers and policy makers are provided.

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