Measuring Variability and Factors Affecting the Agricultural Production: A Ridge Regression Approach

2020 ◽  
Author(s):  
Monika Devi ◽  
D. P. Malik ◽  
Vinay Mehala ◽  
P. Mishra
Keyword(s):  
Ridge Regression ◽  
Agricultural Production ◽  
Factors Affecting ◽  
Regression Approach

EVALUATING THE CONTRIBUTION OF TOTAL FACTOR PRODUCTIVITY ON AGRICULTURAL GROWTH IN AN GIANG PROVINCE

2018 ◽  
Vol 1 (29) ◽  
pp. 29-37
Author(s):  
Tan Van Truong
Keyword(s):  
Total Factor Productivity ◽  
Agricultural Production ◽  
Science And Technology ◽  
Agricultural Labor ◽  
Factor Productivity ◽  
Agricultural Growth ◽  
Regression Approach ◽  
Investment Capital ◽  
Agricultural Demand

By the growth regression approach, the research has identified that the investment capital contributed 1,939 and agricultural labor contributed 1,291 to the agricultural growth of An Giang province. More specifically, the contribution of TFP (Total Factor Productivity) to the agricultural growth in the period 2000 - 2004 was averagely 0,11%, in 2005 - 2010 was -5,03%, and in period 2011 - 2016 was 0,81%. The total factor productivity contributed to the agricultural growth slowly. In order to raise the contribution of TFP, the research represents 05 solutions including the increase of the effectiveness of using the investment capital, the increase of the quality of labor, the application of the science and technology into agricultural production, agriculturalrestructuring, and the increase of  agricultural demand.

scholarly journals Addressing the Differences in Farmers’ Willingness and Behavior Regarding Developing Green Agriculture—A Case Study in Xichuan County, China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 316
Author(s):  
Yingchao Li ◽  
Zhiyuan Fan ◽  
Guanghui Jiang ◽  
Zhuo Quan
Keyword(s):  
Sustainable Development ◽  
Agricultural Production ◽  
Chemical Fertilizer ◽  
Service Organization ◽  
Chinese Government ◽  
Technical Service ◽  
Factors Affecting ◽  
Land Type ◽  
Green Development ◽  
Production Behavior

The development of green agriculture is an effective way to realize the sustainable development of agriculture, which is of great significance for guaranteeing national food security, improving the supply ability of agricultural products, promoting the healthy development of cultivated land, and realizing green development. Since the 18th National Congress of the Communist Party of China, China has proposed the establishment of a green-development-oriented agricultural support system, which intends to reverse the worsening of the agricultural ecological environment; however, in 2019, the input of agricultural chemical fertilizer still exceeded the international limit of the safe application of chemical fertilizer. In recent years, agriculture has surpassed industry to become the largest non-point source pollution industry in China, seriously affecting the rural ecological civilization construction and the advancement of green sustainable development coordinated. To analyze the key factors affecting the development of green agriculture, in this study, logistic binary regression analysis was used to measure the main factors affecting farmers’ green agricultural production willingness and green agricultural production behavior. The results show that a farmer’s age, land type, compensation for land transfer, technical service organization, related training, and economic and technological subsidies had significant effects on their green agricultural production willingness. The age of farmers, number of staff, risk of green agricultural production technology, technical service organization, and economic and technological subsidies were shown to have significant effects on the green agricultural production behavior of farmers, where the different factors influenced the behavior to different degrees. Based on the above findings, it is suggested that the Chinese government should help farmers to carry out agricultural green transformation through technical training, policy popularization, economic subsidies, and educational support.

Correcting for Selection Bias in Social Movement Research

1998 ◽  
Vol 3 (2) ◽  
pp. 141-161 ◽  
Author(s):  
Simon Hug ◽  
Dominique Wisler
Keyword(s):  
Social Movement ◽  
Selection Bias ◽  
Truncated Regression ◽  
Factors Affecting ◽  
Local Newspapers ◽  
Data Analyses ◽  
Regression Approach ◽  
Scant Attention ◽  
The Media ◽  
Cross National

Longitudinal and cross-national research on new social movements often relies on newspaper reports for data on the frequency and type of events. Reporting by newspapers is, however, known to be strongly affected by selection bias. Newspapers report events that they find "newsworthy." Surprisingly, the effect of these selection biases on data analyses has received scant attention, and the methodology to correct for these biases hardly has been discussed. Based on data covering events in four cities in Switzerland we propose two types of corrections for the selection bias. The first is based on a simple weighting scheme for events reported in local newspapers. These weights are likely to provide useful corrections even in other contexts. The second correction attempts to model explicitly the selection bias of the media. This truncated regression approach is shown to be a useful strategy when the selectivity by the newspapers is severe, and the factors affecting this selection are largely known.

An analysis of Indian agricultural workers: A ridge regression approach

2021 ◽  
Vol 34 (1) ◽  
pp. 121-127
Author(s):  
Banti Kumar ◽  
Manish Sharma ◽  
Anil Bhat ◽  
Pawan Kumar
Keyword(s):  
Ridge Regression ◽  
Agricultural Workers ◽  
Regression Approach

Factors affecting Vietnamese farmers' intention toward organic agricultural production

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thi Phuong Linh Nguyen ◽  
Xuan Hau Doan ◽  
Thu Thuy Nguyen ◽  
Thi Mai Nguyen
Keyword(s):  
Factor Analysis ◽  
Organic Farming ◽  
Organic Agriculture ◽  
Agricultural Production ◽  
Subjective Norms ◽  
Rational Approach ◽  
Research Model ◽  
Content Type ◽  
Factors Affecting ◽  
Personal Norm

PurposeThe purpose of this paper is to investigate factors affecting Vietnamese farmer's intention toward organic agricultural production based on research model integrating theories: theory of planned behavior (TPB) and norm activation model (NAM).Design/methodology/approachAfter in-depth interviews with 5 agricultural researchers and 5 farmers, the authors determined the official research model and built a complete survey. Data were collected from 318 farmers in the Hanoi, Vietnam by directly survey. Statistical methods, such as Cronbach's alpha analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM), were used to analyze the data.FindingsThis paper shows that attitude, subjective norms, perceived behavioral control and personal norm were significantly related to intention of the farmers; awareness of consequences was positively related to ascription of responsibility, personal norm, attitude and subjective norms; ascription of responsibility has a positive relationship with personal norm. The TPB-NAM integration model is proven to be superior to the original TPB model when studying factors affecting Vietnamese farmer's intention toward organic agricultural production.Research limitations/implicationsThe main limitation of this paper is that the sampling method is not representative for the whole country and just stops at researching the intentions of farmers without understanding the practices of organic agricultural production.Practical implicationsThe findings indicate that state management agencies in Vietnam need to pay attention to raise awareness among farmers about the role of organic farming, communicate to farmers through different channels about the benefits of organic farming compared to conventional agriculture and form information spillover groups between farmers who have produced organic agriculture and have not yet produced organic agriculture.Originality/valueThis paper contributes to the existing literature by focusing on integrating TPB and NAM when understanding farmers' intention toward organic agricultural production in Vietnam. This integrated model has proven the suitability of combining two approaches, a rational approach and an ethical approach, when studying farmer intentions.

Factors affecting methane emissions in OPEC member countries: does the agricultural production matter?

2020 ◽  
Author(s):  
Mohammad Hassan Tarazkar ◽  
Navid Kargar Dehbidi ◽  
Rohul Ameen Ansari ◽  
Hamid Reza Pourghasemi
Keyword(s):  
Agricultural Production ◽  
Methane Emissions ◽  
Factors Affecting ◽  
Opec Member

scholarly journals Abandonment or Regeneration and Re-Use? Factors Affecting the Usage of Farm Premises in Different Social Spaces of the Rural

2020 ◽  
Vol 12 (21) ◽  
pp. 9124
Author(s):  
Josef Navrátil ◽  
Tomáš Krejčí ◽  
Stanislav Martinát ◽  
Kamil Pícha ◽  
Petr Klusáček ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Agricultural Land ◽  
Point Of View ◽  
Factors Affecting ◽  
Fodder Crops ◽  
The Sixties ◽  
Agricultural Use ◽  
Eastern European Countries ◽  
National Databases ◽  
Use Factors

Nearly every village in Central and Eastern European countries with heavily collectivized agriculture has its collective farm premises that encompass substantial parts of the village area, were built in the sixties, and now are unable to be used in former ways. The aim of the paper is to identify indicators that are relevant for spatial disparities in the utilization of agricultural premises thirty years after the fall of the Iron Curtain. The location and its area of all pre-1989 rural farm premises within two NUTS 3 regions of the Czech Republic with its current uses were identified, and differences in present uses were tested against agri-natural and socio-economic characteristics (of the municipalities where rural farm premises are located) obtained from national databases. From a global point of view, socio-economic characteristics of municipalities were found to be exceedingly more important than agri-natural—thus, changing of uses is rather dependent on socio-economic context than on geographical preconditions of agriculture. Surprisingly, agricultural use or re-use can be primarily found in municipalities not suitable for intensive agriculture located in the fodder crops and potatoes areas of agricultural production with the highest shares of permanent grassland on agricultural land. On the other hand, areas with the best preconditions for agriculture tend to re-use former farm premises for non-agricultural production.

scholarly journals Analysis of determinants of maize price variations in Nigeria (1978 - 2014)

2019 ◽  
Vol 11 (2) ◽  
pp. 237-234
Author(s):  
Opeyemi Eyitayo Ayinade ◽  
Ifedotun Victor Aina ◽  
Kayode Ayinade
Keyword(s):  
Food Security ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Price Change ◽  
Secondary Data ◽  
Descriptive Statistics ◽  
Price Variation ◽  
Factors Affecting ◽  
The Government ◽  
Food Staples

Skyrocketing prices of food staples such as maize can lead to inefficient agricultural production and definitely have detrimental effects on the economic, social, and political growth of any country. Most studies on maize in Nigeria are focused on the increasing consumption or competitiveness, very few address the determinants of maize price change as a panacea for the increase of productivity. Filling this gap requires a study on the various factors that contribute to the variations in the price of maize. In this study, secondary data were used. The study used descriptive statistics tools to analyze the pattern of price variations and changes in the production of maize over a period of 36 years in Nigeria. Also, various factors affecting price variation of maize were examined. It was recommended that the positive and significant impact of country’s population to maize price change should serve as an impulse to encourage investment in agricultural sector of Nigeria in order to ensure food security in the country. Also, the government should use the inflation measures to regulate prices of maize in the country

scholarly journals Factors Affecting the Yield of Indonesia Government Bonds 10 Years

2021 ◽  
Vol 6 (1) ◽  
pp. 243-248
Author(s):  
Intan Permanasari ◽  
Augustina Kurniasih
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Government Bond ◽  
Government Bonds ◽  
Factors Affecting ◽  
Indonesian Government ◽  
Bond Yield ◽  
The Us ◽  
Regression Approach ◽  
Study Population

The purpose of this research is to analyze the effect of inflation, interest rates, the rupiah exchange rate, and the US 10-Year Treasury on the Indonesian Government Bond Yield. The study population was all yield tenors of the benchmark series Government bonds for the period 2017 to 2019. This study is an associative causality study. The research sample is Indonesian government bonds with a tenor of 10 years. Data were analyzed using multiple linear regression approach. The results show that inflation and US 10-Year Treasury have no effect on the Indonesian Government Bond Yield. Interest rates and the rupiah exchange rate have a positive and significant effect on the Indonesian Government Bond Yield.

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