The Contribution of Industrial Policies on Agriculture Sector in Tanzania: A Quantitative Appraisal

2019 ◽  
Author(s):  
Nuhu A. Sansa
Keyword(s):  
Industrial Policies ◽  
Agriculture Sector ◽  
Quantitative Appraisal

scholarly journals Analysis of the Contribution of China’s Industrial Policies to Agriculture Sector

2020 ◽  
pp. 143-148
Author(s):  
Nuhu A. Sansa
Keyword(s):  
Food Production ◽  
Economic Openness ◽  
Economic Variables ◽  
Industrial Policies ◽  
Agriculture Sector ◽  
The World Bank ◽  
Simple Regression Model ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship

Recent different literature argued that China‟s agriculture sector contribution to economic development is deteriorating. The agriculture sector contribution with regard to Agriculture GDP contribution, agriculture employment, and foreign exchange earnings were decreased. The present study is undertaken to investigate the contribution of industrial policies to the Agriculture sector of China during the period from 2007 to 2018. Simple regression model employed as a methodology to investigate the contribution of industrial policies to the agriculture sector in China during the period from 2007 to 2018. The data of all agriculture macro-economic variables applied in this study (Economic openness, Agriculture GDP, Agriculture Food Production, and Employment in Agriculture) were collected from the World Bank for the whole period from 2007 to 2018. In order to investigate the contribution of Industrial policies to the agriculture sector in China, industrial policies were represented by the economic openness which stands as independent variable, while agriculture GDP, Agriculture food production and employment in agriculture were dependent variables in the study. The information discovered in the study was in actual fact catching the attention. Information discovered as a result of the investigation shows that relationship between Economic openness and Agriculture GDP is Negative, While the relationship between economic openness and other Agriculture macro-economic variables (Agriculture Food Production and Agriculture Employment) is Positive and meaningfully during the period from 2009 to 2018 in China. That means Industrial policies had meaningful contribution to Agriculture Food production and Agriculture Employment, While Industrial policies had no contribution to Agriculture GDP during the period from 2009 to 2018 in China.

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

Impacts of Financial Integration in the Asia Economic Community on Competitiveness of the Commercial Banks in Vietnam

2018 ◽  
Vol 34 (4) ◽  
Author(s):  
Nguyen Cam Nhung
Keyword(s):  
Financial Services ◽  
Commercial Banks ◽  
Financial Integration ◽  
International Standards ◽  
Capital Adequacy ◽  
Viet Nam ◽  
Economic Community ◽  
Industrial Policies ◽  
Capital Adequacy Ratio ◽  
Internet Economy

This paper assesses the impacts of financial integration in the Asia Economic Community (AEC) on the capacity of finance and provision of financial services of Vietnamese commercial banks. In recent years, Vietnamese commercial banks have achieved some successes as reflected in the growth indicators of operation scales, charter capital and total assets. However, under the pressure of integration, the capital adequacy ratio (CAR) fell slightly in 2016 resulting from the applying of the CAR calculation method to commercial banks in accordance with the new regulations towards step by step approaching international standards. Compared to other countries in the AEC, the capacity of finance and provision of financial services of the Vietnamese commercial banks remains low. As a result, it is necessary to carry out synchronous and drastic measures in the coming time to enhance the competitiveness of the Vietnamese commercial banks. Keywords Competitiveness, financial integration, AEC, commercial bank, Vietnam References [1] UNCTAD, World Investment Report 2018: Investment and New Industrial Policies, June 2018.[2] Cục Đầu tư nước ngoài, “Tình hình thu hút Đầu tư nước ngoài 8 tháng năm 2018”, 2018, http://fia.mpi.gov.vn/tinbai/6045/Tinh-hinh-thu-hut-Dau-tu-nuoc-ngoai-8-thang-nam-2018.[3] Google and Temasek, “e-Conomy SEA Spotlight 2017: Unprecedented growth for Southeast Asia’s $50B internet economy, 2017”, 2017.[4] Tô Thị Thanh Trúc, “Khu vực tài chính Việt Nam trong bối cảnh hội nhập tài chính ASEAN”, Tạp chí Phát triển Khoa học và Công nghệ, 19 (2016) Q1, 2016.[5] Phạm Xuân Hoan, Nguyễn Cẩm Nhung, Nguyễn Bích Thủy, “Ngân hàng TMCP Ngoại thương Việt Nam: Chủ động đón AEC”, Tạp chí Kinh tế và Dự báo, Số 2 tháng 1/2016.[6] Phạm Xuân Hoan, Nguyễn Cẩm Nhung, Nguyễn Bích Thủy, “Khả năng thích ứng của các ngân hàng thương mại Việt Nam khi tham gia hội nhập AEC”, Tạp chí Tài chính, Kỳ 1 tháng 12/2015 (622).[7] Trần Thị Vân Anh, “Ngân hàng Việt Nam trong tiến trình gia nhập Cộng đồng Kinh tế ASEAN”, Tạp chí Khoa học Xã hội Việt Nam, 4 (2016) 101.[8] Nguyễn Thị Diễm Hiền, “Một số vấn đề về ngân hàng thương mại khi Việt Nam gia nhập Cộng đồng Kinh tế Asean”, Tạp chí Phát triển Khoa học và Công nghệ, 19 (2016) Q1, 2016.[9] Blattner N., “Competitiveness of Banks”, Journal of Financial Economics, N.21 (1992).[10] PwC Growth Markets Centre, The Future of ASEAN - Time to Act Financial Services, 2018.

Role of Research and Development in Sustaining Indian Agriculture: A Brief Review

2020 ◽  
pp. 396-401
Keyword(s):  
Research And Development ◽  
Production Process ◽  
Annual Increase ◽  
Agriculture Sector ◽  
The Past ◽  
Indian Agriculture ◽  
Self Sufficiency ◽  
Development Institutions ◽  
Agriculture Development

Technology united with research and development has evolved as a grave differentiator of the agriculture sector in India including production, processing, and agriculture packing and marketing of given crops. Near about 50 percent of the Indian workforce was engaged in the agriculture sector but its share in GDP was only 14 percent, much lower in comparison to former. Though, certain agriculture items showed a steady annual increase in terms of kilograms per hectare. Agriculture transformed significantly over the past few decades but when it comes to investment in research and development there is a lot more which needs to be done. The paper analyzes the role of various research and development institutions in boosting the growth of the agriculture sector that helps in attaining sustainable agriculture development and self-sufficiency in the production process since independence. It also focusesed on the various issues faced by these development institutions. The findings unveiled that since independence a lot more was done to boost the research and development in the agriculture sector at both the center and state levels but a proper implementation of these policies along with transparency could bring more desirable outcomes than were gained at present.

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