scholarly journals Protectionist Trade Policies and Agricultural Productivity in WAEMU Countries

2018 ◽  
Vol 4 (1) ◽  
pp. 1-9
Author(s):  
HonoreSewanoude Houngbedji

This paper assesses the effect of protectionist trade policies on the agricultural productivity of WAEMU countries from 1995 to 2016. A multiple linear regression model with panel data was used in this study. The estimations results indicate that the protectionist trade policy captured by State subsidy to agriculture and tax on the import of goods have a positive effect on agricultural productivity of WAEMU countries. In addition, the study reveals that sufficient availability of farm machinery and fertile soil would be of particular importance to the development of agricultural sector. In the face of globalization, these results encourage the adoption of a protectionist trade policy which would certainly improve the agricultural productivity in WAEMU countries.

Telaah Bisnis ◽  
2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Enny Ariyanto ◽  
Gazali Rahman

AbstractThis study aims to examine the effect of compensation and job satisfaction on the labor productivity of Suzuki car salesman at PT Restu Mahkota Karya. The study sample involves 162 respondents from six personal salers from different areas and determined through saturation sampling technique. Primary data is obtained through a questionnaire. Multiple linear regression model is used to test the hypothesis of the influence of variable compensation and job satisfaction on productivity. The research proves that the variable compensation partially has no significant effect on the productivity of the sales force. However, the variable of job satisfaction has weak significant influence on the productivity of the sales force. Furthermore, simultaneous variable compensation and job satisfaction have weak significant positive effect on the productivity of the sales force of PT Restu Mahkota Karya.


2019 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
RIFQI MUHAMMAD ◽  
CAHYANINGTYAS TIRZA SILVIANI BIYANTORO

This study aims to determine the effect of profitability, leverage, firm size, and growth of the company to the sukuk ratings. The main purpose of this rating is to provide information to investors about the state of sukuk issuers and what risks will be borne, so that can be used as consideration of investors in investing. The sample in this research is sukuk issuer company rated by rating agency Fitch Rating period 2013-2016. Samples were chosen using purposive sampling method and 15 companies were selected. Data analysis was done by multiple linear regression model and using SPSS 22.0 software. The results of this study indicate that the profitability and firm size have a positive and significant impact on the rating of sukuk. Leverage has a negative and significant impact on the sukuk rating. While the growth of the company has a positive effect is not significant on the rating of sukuk


Author(s):  
Pundra Chandra Shaker Reddy ◽  
Alladi Sureshbabu

Aims & Background: India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into an orientation in farming sector to deciding the start of the planting season and furthermore quality and amount of their harvesting. One of the variables are influencing agriculture is rainfall. Objectives & Methods: The main goal of this project is early and proper rainfall forecasting, that helpful to people who live in regions which are inclined natural calamities such as floods and it helps agriculturists for decision making in their crop and water management using big data analytics which produces high in terms of profit and production for farmers. In this project, we proposed an advanced automated framework called Enhanced Multiple Linear Regression Model (EMLRM) with MapReduce algorithm and Hadoop file system. We used climate data from IMD (Indian Metrological Department, Hyderabad) in 1901 to 2002 period. Results: Our experimental outcomes demonstrate that the proposed model forecasting the rainfall with better accuracy compared with other existing models. Conclusion: The results of the analysis will help the farmers to adopt effective modeling approach by anticipating long-term seasonal rainfall.


Author(s):  
Olivia Fösleitner ◽  
Véronique Schwehr ◽  
Tim Godel ◽  
Fabian Preisner ◽  
Philipp Bäumer ◽  
...  

Abstract Purpose To assess the correlation of peripheral nerve and skeletal muscle magnetization transfer ratio (MTR) with demographic variables. Methods In this study 59 healthy adults evenly distributed across 6 decades (mean age 50.5 years ±17.1, 29 women) underwent magnetization transfer imaging and high-resolution T2-weighted imaging of the sciatic nerve at 3 T. Mean sciatic nerve MTR as well as MTR of biceps femoris and vastus lateralis muscles were calculated based on manual segmentation on six representative slices. Correlations of MTR with age, body height, body weight, and body mass index (BMI) were expressed by Pearson coefficients. Best predictors for nerve and muscle MTR were determined using a multiple linear regression model with forward variable selection and fivefold cross-validation. Results Sciatic nerve MTR showed significant negative correlations with age (r = −0.47, p < 0.001), BMI (r = −0.44, p < 0.001), and body weight (r = −0.36, p = 0.006) but not with body height (p = 0.55). The multiple linear regression model determined age and BMI as best predictors for nerve MTR (R2 = 0.40). The MTR values were different between nerve and muscle tissue (p < 0.0001), but similar between muscles. Muscle MTR was associated with BMI (r = −0.46, p < 0.001 and r = −0.40, p = 0.002) and body weight (r = −0.36, p = 0.005 and r = −0.28, p = 0.035). The BMI was selected as best predictor for mean muscle MTR in the multiple linear regression model (R2 = 0.26). Conclusion Peripheral nerve MTR decreases with higher age and BMI. Studies that assess peripheral nerve MTR should consider age and BMI effects. Skeletal muscle MTR is primarily associated with BMI but overall less dependent on demographic variables.


2021 ◽  
Vol 2 (2) ◽  
pp. 75-87
Author(s):  
Kardinah Indrianna Meutia ◽  
Hadita Hadita ◽  
Wirawan Widjarnarko

The economy in the current era of globalization has fierce competition, especially in the business world, where each company moves to continue to make products primarily to meet what is needed by consumers and companies are always innovating to make products that are different from before and from  competitors and strive to be superior to other products.  This study was conducted with the aim of analyzing the independent variables which include brand image and price variables on their influence on the dependent variable, namely purchasing decisions.  This study uses multiple linear regression model and with classical assumption test using SPSS software version 24. Data were obtained primarily by distributing questionnaires to 162 students at Bhayangkara University, Jakarta Raya.  This study states that brand image and price variables can partially and significantly influence consumer purchasing decisions positively. The F test explains that the brand image and price variables together can influence purchasing decisions with results showing f-count>f-table.


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