scholarly journals FACTORS INFLUENCING NET RETURN OF TRANSGENIC COTTON WORLDWIDE OVER TIME;

2016 ◽  
Vol 8 (1) ◽  
pp. 21
Author(s):  
Julian Witjaksono
Keyword(s):  
Regression Analysis ◽  
Crop Yields ◽  
Field Trials ◽  
Economic Benefits ◽  
Labor Costs ◽  
Meta Data ◽  
Socioeconomic Condition ◽  
Net Return ◽  
Yield Gain ◽  
The Government

<p>Meta data tentang manfaat ekonomi dari kapas transgenik yang bersumber dari hasil-hasil penelitian lebih dari satu dekade di empat negara, yaitu Amerika, Australia, China, dan India dapat dianalisa. Penelitian ini bertujuan untuk mengkaji kapas transgenik dari sudut pandang nilai ekonomi atau keuntungan usaha tani petani kapas dengan menggunakan data global dari lebih dari satu dekade hasil percobaan dan survei la-pangan. Indikator ekonomi yang dilihat meliputi hasil panen, biaya benih, biaya pestisida, biaya manajemen dan tenaga kerja, serta keuntungan usaha tani sebagai parameter yang dianalisis. Data dari indikator yang dikumpulkan merupakan meta data dari penelusuran literatur yang terkait dengan tujuan penelitian ini dan dilakukan analisis regresi untuk mengetahui dan memperkirakan hubungan antara variabel respon dan varia-bel penjelas pada parameter ini. Hasil penelitian menggunakan pendekatan analisis regresi menunjukkan bahwa variabel produksi adalah faktor utama yang mempengaruhi keuntungan usaha tani kapas transgenik. Dengan demikian, kapas transgenik merupakan teknologi yang dapat meningkatkan hasil dan sebagai faktor utama yang mempengaruhi tingkat keuntungan usaha tani. Teknologi kapas transgenik Bt dapat dimanfaat-kan oleh petani miskin sumber daya di negara-negara berkembang dalam upaya meningkatkan pendapatan mereka. Pemanfaatan kapas transgenik di Indonesia harus mempertimbangkan kondisi agroekosistem dan sosial ekonomi, serta dukungan kebijakan agar teknologi ini dapat bermanfaat bagi petani. Oleh karena itu, masih perlu dilakukan penelitian dan kajian lebih lanjut dengan mempertimbangkan faktor-faktor tersebut.</p><p>The evidence of metadata based on the economic benefits using genetically modified (GM) cotton with different patterns across space and time could be analysed. To this end, investigation on the effects of GM cotton using global data from more than one decade of field trials and surveys were done. More specifically, the effects of GM cotton on crop yields, seed costs, pesticide costs, management and labor costs, and net return were analyzed. Based on the literature searched, regression analysis was conducted to investigate and estimate the relationship between response variables and explanatory variables on these parameters. The results using a regression analysis approach indicated that yield gain was the high expectation of cotton growers to optimize net returns. Put in another way, yield gain is the main factor influencing net return. As such, this study concludes that GM cotton is the technology which can lead to yield increases and capture higher net return. More so, lessons from this study may contribute to the assessment of this technology especially for the poor-resource farmers in the developing countries. The application of this technology in Indonesia has to consider the agroecosystem and socioeconomic condition, as well as support from the government policy. Indeed, research and assessment in deep analysis should be done with the consideration of the factors above before implementing this technology.</p>

scholarly journals Efficacy of Reduced Rates of Soil-Applied Dimethenamid-P and Pendimethalin Mixture Followed by Postemergence Herbicides in Maize

Agriculture ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 163
Author(s):  
Robert Idziak ◽  
Zenon Woznica
Keyword(s):  
Grain Yield ◽  
Weed Control ◽  
Negative Impact ◽  
Control Program ◽  
Field Trials ◽  
Economic Benefits ◽  
Net Return ◽  
Herbicide Mixture ◽  
Reduced Rate ◽  
Postemergence Herbicides

Field trials were conducted with preemergence dimethanamid-P + pendimethalin (D + P; 850 + 1000 g·ha−1) and reduced rates (637.5 + 750 g·ha−1 and 452 + 500 g·ha−1, 75% and 50% of label rate), followed by strongly reduced rates of postemergence herbicides nicosulfuron + rimsulfuron + dicamba (N + R + D; 4 + 15.6 + 93.5 g·ha−1, 50%), tembotrione (T; 33 g·ha−1, 50%), mesotrione + nicosulfuron (M + N; 37.5 + 15 g·ha−1, 50%), foramsulfuron + iodosulfuron (F + J; 7.5 + 0.25 g·ha−1, 20%), and nikosulfuron (N; 15 g·ha−1, 33%) applied with methylated seed oil (MSO; 1.0 L·ha−1) and ammonium nitrate (AMN; 2 kg·ha−1) on 3–5 leaves of maize to assess weed control, grain yield, and economic net return. Reduced rate of soil-applied herbicide followed by reduced rates of any postemergence herbicides applied with adjuvants was the most efficacious weed control program, provided the highest grain yield of maize and similar or higher economic net return, despite 44 to 48% lower herbicide input than the program based on soil-applied herbicide mixture only. It brings not only notable economic benefits but also less negative impact on the environment.

scholarly journals Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis

2019 ◽  
Vol 11 (12) ◽  
pp. 3273 ◽  
Author(s):  
Xu Kuang ◽  
Fuquan Zhao ◽  
Han Hao ◽  
Zongwei Liu
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Economic Benefits ◽  
Cost Ratio ◽  
Connected Vehicles ◽  
Benefit Analysis ◽  
Labor Costs ◽  
Unified Framework ◽  
Socioeconomic Impacts ◽  
The Government

The deployment of intelligent connected vehicles (ICVs) is regarded as a significant solution to improve road safety, transportation management, and energy efficiency. This study assessed the safety, traffic, environmental, and industrial economic benefits of ICV deployment in China under different scenarios. A bottom-up model was established to deal with these impacts within a unified framework, based on the existing theories and literature of ICVs’ cost–benefit analysis, as well as China’s most recent policies and statistics. The results indicate that the total benefits may reach 13.25 to 24.02 trillion renminbi (RMB) in 2050, while a cumulative benefit–cost ratio of 1.15 to 3.06 suggests high cost-effectiveness. However, if the government and industry only focus on their own interests, the break-even point may be delayed by several years. Hence, an effective business model is necessary to enhance public–private cooperation in ICV implementation. Meanwhile, the savings of travel time costs and fleet labor costs play an important part in all socioeconomic impacts. Therefore, the future design of ICVs should pay more attention to the utilization of in-vehicle time and the real substitution for human drivers.

scholarly journals Potassium nutrient response in the rice-wheat cropping system in different agro-ecozones of Nepal

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248837
Author(s):  
Roshan Babu Ojha ◽  
Shova Shrestha ◽  
Yajna Gajadhar Khadka ◽  
Dinesh Panday
Keyword(s):  
Crop Production ◽  
Crop Yields ◽  
Cropping Systems ◽  
Block Design ◽  
Cropping System ◽  
Field Trials ◽  
Fertilizer Rate ◽  
Crop Varieties ◽  
K Fertilizer ◽  
The Government

Most of the soils of Nepal had a higher potassium (K, expressed as K2O) level inherently. Later in 1976, the Government of Nepal has recommended K fertilizer rate at 30 kg K2O ha-1 in rice-wheat cropping systems. However, those crops began showing K deficiency symptoms in recent decades, which could be due to a large portion of soils with depleted K level or the insufficient input of K fertilizer for crop production. This study explored a limitation of K nutrient in the crops by establishing field trials from 2009–2014 at three agro-ecozones i.e., inner-Terai (2009–2010), high-Hills (2011–2012), and Terai (2012–2014) in Nepal. Seven rates of K fertilizer at 0, 15, 30, 45, 60, 75, and 90 kg K2O ha-1 were replicated four times in a randomized complete block design, where crop yields and yield-attributing parameters of rice-wheat cropping system were recorded. Results revealed that an increase in K rates from 45 to 75 kg K2O ha-1 under inner-Terai and Terai conditions and 45 to 60 kg ha-1 under high-Hills conditions produced significantly higher grain yields compared to the recommended K dose. Economically, the optimum rate of K fertilizer should not exceed 68 kg K2O ha-1 for rice in all agro-ecozones, or 73 kg K2O ha-1 for wheat in inner-Terai and 60 kg K2O ha-1 for wheat in high-Hills and Terai. Our findings suggest to increase potassium application in between 1.5 to 2.5 times of the current K fertilizer rate in rice-wheat cropping system of Nepal that need to be tested further in different locations and crop varieties.

Fertiliser evenness - losses and costs: A study on the economic benefits of uniform applications of fertiliser

1999 ◽  
pp. 215-220 ◽  
Author(s):  
R. Horrell ◽  
A.K. Metherell ◽  
S. Ford ◽  
C. Doscher
Keyword(s):  
Crop Yields ◽  
Cumulative Effect ◽  
Economic Loss ◽  
Economic Benefits ◽  
Significant Loss ◽  
Economic Losses ◽  
Financial Return ◽  
Spread Pattern ◽  
Fertiliser Application ◽  
Seed Crops

Over two million tonnes of fertiliser are applied to New Zealand pastures and crops annually and there is an increasing desire by farmers to ensure that the best possible economic return is gained from this investment. Spreading distribution measurements undertaken by Lincoln Ventures Ltd (LVL) have identified large variations in the evenness of fertiliser application by spreading machines which could lead to a failure to achieve optimum potential in some crop yields and to significant associated economic losses. To quantify these losses, a study was undertaken to calculate the effect of uneven fertiliser application on crop yield. From LVL's spreader database, spread patterns from many machines were categorised by spread pattern type and by coefficient of variation (CV). These patterns were then used to calculate yield losses when they were combined with the response data from five representative cropping and pastoral situations. Nitrogen fertiliser on ryegrass seed crops shows significant production losses at a spread pattern CV between 30% and 40%. For P and S on pasture, the cumulative effect of uneven spreading accrues, until there is significant economic loss occurring by year 3 for both the Waikato dairy and Southland sheep and beef systems at CV values between 30% and 40%. For nitrogen on pasture, significant loss in a dairy system occurs at a CV of approximately 40% whereas for a sheep and beef system it is at a CV of 50%, where the financial return from nitrogen application has been calculated at the average gross revenue of the farming system. The conclusion of this study is that the current Spreadmark standards are a satisfactory basis for defining the evenness requirements of fertiliser applications in most circumstances. On the basis of Spreadmark testing to date, more than 50% of the national commercial spreading fleet fails to meet the standard for nitrogenous fertilisers and 40% fails to meet the standard for phosphatic fertilisers.Keywords: aerial spreading, crop response, economic loss, fertiliser, ground spreading, striping, uneven application, uneven spreading, yield loss

FRAUD CONFIRMATION, CLIENT SATISFACTION AND CLIENT LOYALTY

2019 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Ngurah Pandji Mertha Agung Durya
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Client Satisfaction ◽  
Audit Quality ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Quality Attributes ◽  
Path Model ◽  
Coefficient Of Determination ◽  
The Government

<p>This study aims to find evidence, the influence of Audit Quality Attributes, Client Satisfaction and Client Loyalty, which are moderated by Fraud Confirmation. The research was conducted at the BKM, a community-based organization, formed by the Government, through the <em>Kotaku</em> Program. The research used Regression statistical analysis and conducted a hypothesis test. Regression analysis used includes Simple Linear Regression Analysis, Multiple Regression Analysis, and MRA Regression Analysis, and Path Model Linear Regression Analysis. This study also pays attention to the calculation of the coefficient of determination to give an idea of the ability of the model in explaining the phenomenon of Client Satisfaction and Client Loyalty. The result that both partially and simultaneously, Audit Quality Attributes, Fraud Confirmation affected Client Satisfaction and Loyalty. The research also succeeded in proving that Client Satisfaction mediates the effect of Audit Quality Attributes on Client Loyalty, but failed to provide empirical evidence, that the Fraud Confirmation moderated the effect of Audit Quality Attributes on Client Satisfaction and Loyalty. Contribution to audit practices, where it is important to realize Client Satisfaction through Audit Quality Attributes and Fraud Confirmation, especially in situations where Fraud acts are suspected.</p>

Strategic Innovation and Service Delivery in Public Universities in Kenya: A Case of Kenyatta University

2019 ◽  
Vol 3 (III) ◽  
pp. 199-211
Author(s):  
Stella Gati Maroa ◽  
Mary Namusonge
Keyword(s):  
Regression Analysis ◽  
Service Delivery ◽  
Diffusion Of Innovation ◽  
Technology Use ◽  
Public Universities ◽  
Policy Objective ◽  
The Public ◽  
Strategic Innovation ◽  
Use Of Technology ◽  
The Government

Strategic innovation is a strategic tool that can be used to align the institution’s resources and capabilities with opportunities in the external environment in order to enhance survival and long term success of the organization.  Innovation promotes use of technology consequently impacting positively on service delivery. Public universities reforms have been a necessary and on-going policy objective for the Government of Kenya. Innovation as one of the approaches to the reforms is intended to induce an overhaul the public university system to better serve the needs of both government and the citizens with improved delivery of public services. In Kenya technology in public institutions has not been effectively used to enhance service delivery more so institutions where technology use has been embraced, its impact on service delivery has not been assessed effectively. This study applied the institutional theory, diffusion of innovation theory and stakeholders theory of management to determine how strategic innovation at Kenyatta University impacts on service delivery. The general objective of this study therefore was to determine the effect of strategic innovation on service delivery in Kenyatta University. Specific objectives included finding out the influence of eLearning, online student registration and use of e-messaging services on service delivery in Kenyatta University. A population of 72,000 students admitted to Kenyatta University was used from which random sampling was conducted to a sample of 200 students using Nassiuma’s formula. Data was collected by disbursing physically the questionnaires to the students. Descriptive and regression analysis was conducted using SPSS 22 to provide findings on the study. The study conducted a multiple regression analysis to estimate the model for the study. The study had a coefficient of correlation R of 0.912 an indication of strong of correlation between the variables and a coefficient of adjusted R2 was 0.814.This means that there was a significant correlations between the variables and service delivery at Kenyatta University however other factors that are not considered in the research paper contribute approximately 18.6% of the service delivery at Kenyatta University. Therefore, a very extensive further research is highly required to investigate and come up with other factors of the viability to service delivery at Kenyatta University. The study concluded that the strategic innovation of the public universities ranges from the products and services offered and is determined by the technology that is revolutionizing the current global world and has improved the service delivery at Kenyatta University. A strategic innovation brings a lot of advantages and has a great impact on human and business daily life. Therefore, strategic innovation development is the best choice in helping higher institution of learning stay on track.

scholarly journals An Investigation of the Socio-Economic Benefits of Small-Scale Gold Mining in Malawi

Mining ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 19-34
Author(s):  
Tiyamike Haundi ◽  
Gift Tsokonombwe ◽  
Steven Ghambi ◽  
Theresa Mkandawire ◽  
Ansley Kasambara
Keyword(s):  
Gold Mining ◽  
Indigenous Communities ◽  
Economic Benefits ◽  
Gold Rush ◽  
Basic Knowledge ◽  
Small Scale ◽  
Low Literacy ◽  
Policy Makers ◽  
Key Stakeholders ◽  
The Government

In the recent years, there has been a surge in artisanal and small-scale gold mining (ASGM) in various districts of Malawi. Reports of a gold rush have emerged in various districts, including Mangochi, Lilongwe, Balaka, and lately in Kasungu. There has been persistence by many indigenous communities participating in ASGM activities, yet little is being done by the government to formalize and support the sub-sector. The purpose of this study was to investigate the benefits of artisanal small-scale gold mining in Malawi and expose the shortfalls so that key stakeholders and policy makers are well informed. A quantitative approach which used semi-structured questionnaires was used and the data was analyzed using Microsoft excel and Statistical Packages for the Social Sciences (SPSS). The study shows that ASGM is characterized by people with low literacy levels, who use traditional tools (low-tech) and use methods fueled by lack of capital, and deficiency of basic knowledge of mining and geology. The study found that the government could achieve substantial socio-economic development from the sector by: (1) revising the current artisanal and small-scale mining (ASM) legislation so that it embraces the customary practices whilst safeguarding the environment and improving the tax collection base; (2) providing support in form of mining related training and education to these communities; (3) leading in transfer of modern technologies for improved extraction; (4) supporting ASM cooperatives in securing credit facilities from financial institutions; and (5) closing the existing knowledge gap for ASM related issues through introduction of mining desk officers in district councils.

scholarly journals High probability of yield gain through conservation agriculture in dry regions for major staple crops

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yang Su ◽  
Benoit Gabrielle ◽  
Damien Beillouin ◽  
David Makowski
Keyword(s):  
Management Practices ◽  
Crop Yields ◽  
Positive Impact ◽  
Relative Yield ◽  
Conservation Agriculture ◽  
Conventional Tillage ◽  
Machine Learning Algorithms ◽  
Agricultural Practice ◽  
Crop Species ◽  
Yield Gain

AbstractConservation agriculture (CA) has been promoted to mitigate climate change, reduce soil erosion, and provide a variety of ecosystem services. Yet, its impacts on crop yields remains controversial. To gain further insight, we mapped the probability of yield gain when switching from conventional tillage systems (CT) to CA worldwide. Relative yield changes were estimated with machine learning algorithms trained by 4403 paired yield observations on 8 crop species extracted from 413 publications. CA has better productive performance than no-till system (NT), and it stands a more than 50% chance to outperform CT in dryer regions of the world, especially with proper agricultural management practices. Residue retention has the largest positive impact on CA productivity comparing to other management practices. The variations in the productivity of CA and NT across geographical and climatical regions were illustrated on global maps. CA appears as a sustainable agricultural practice if targeted at specific climatic regions and crop species.

Analyzing taxpayer support for the Krasnodar Krai's agricultural sector

2021 ◽  
Vol 19 (8) ◽  
pp. 1457-1476
Author(s):  
Valentina L. ZAZIMKO ◽  
Nadezhda V. SEDYKH
Keyword(s):  
Regression Analysis ◽  
Agricultural Sector ◽  
Positive Impact ◽  
Raw Materials ◽  
Agricultural Products ◽  
Agricultural Producers ◽  
Krasnodar Krai ◽  
Correlation And Regression Analysis ◽  
Budget Support ◽  
The Government

Subject. This article analyzes the implementation of the government programme of the Krasnodar Krai, Development of Agriculture and Regulation of Markets for Agricultural Products, Raw Materials and Food. Objectives. The article aims to assess the measures of budget support for the agricultural sector of the Krasnodar Krai. Methods. For the study, we used a correlation and regression analysis of official statistics. Results. The article finds that the government programme of the Krasnodar Krai, Development of Agriculture and Regulation of Markets for Agricultural Products, Raw Materials and Food has a positive impact on the progress of production in the agriculture of the region, but it does not contribute to the growth of investment in the industry. Conclusions. It is necessary to move from targeted support for individual agricultural producers to the creation of a modern sectoral infrastructure.

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