The Post-1945 Food Shortage in British Malaya

1988 ◽  
Vol 19 (1) ◽  
pp. 27-47 ◽  
Author(s):  
Paul H. Kratoska
Keyword(s):  
Population Growth ◽  
Food Shortage ◽  
Rice Cultivation ◽  
Considerable Proportion ◽  
Japanese Occupation ◽  
Domestic Production ◽  
Civilian Population ◽  
Food Shortages ◽  
The Government

British Malaya before the Japanese occupation was heavily dependent on imported rice, producing on average only 35 per cent of its requirements between 1920 and 1940. During the 1930s, efforts were made to expand rice cultivation, but progress was slow and did not even keep pace with population growth: imports increased at the same rate as domestic production.As war approached, the government of Malaya built up a stockpile of rice and had about one year's supply in reserve when the occupation began. However, a considerable proportion of this grain was appropriated for military use and the civilian population soon faced food shortages.

POTENSI PENGEMBANGAN PEMBANGKIT LISTRIK PANASBUMI SUHU RENDAH DI KABUPATEN MANOKWARI SELATAN

2014 ◽  
Vol 13 (3) ◽  
Author(s):  
Agustinus Denny Unggul Raharjo
Keyword(s):  
Population Growth ◽  
Natural Resources ◽  
Geothermal System ◽  
Reservoir Temperature ◽  
Geothermal Resources ◽  
Autonomous Region ◽  
Electric Generator ◽  
Binary Cycle ◽  
West Papua ◽  
The Government

<p class="BodyA">South Manokwari Regency is a new autonomous region in West Papua Province with abundant natural resources. As a new autonomous region South Manokwari Regency will be experiencing significant population growth. Population growth along with development and modernization will give burden to electricity demand. Alternatively, electricity can be provided with geothermal resources in Momiwaren District. Based on survey conducted by the government through the Geology Resources Centre in 2009, the reservoir temperature of the geothermal sources is 84<sup>o</sup>C with non volcanic geothermal system. Thus, the geothermal resources in South Manokwari Regency could be developed into binary cycle electric generator.</p>

scholarly journals Impacts of Agricultural Land Acquisition for Urbanization on Agricultural Activities of Affected Households: A Case Study in Huong Thuy Town, Thua Thien Hue Province, Vietnam

2021 ◽  
Vol 13 (15) ◽  
pp. 8559
Author(s):  
Nhung Pham Thi ◽  
Martin Kappas ◽  
Heiko Faust
Keyword(s):  
Agricultural Development ◽  
Agricultural Land ◽  
Rice Cultivation ◽  
Mixed Data ◽  
Land Acquisition ◽  
Agricultural Activity ◽  
Agricultural Activities ◽  
Farmland Abandonment ◽  
Before And After ◽  
The Government

Agricultural land acquisition for urbanization (ALAFU) has strongly impacted agriculture in Vietnam during the last decades. Given the mixed data obtained from a survey with 50 households who lost 50% of their farmland area (in-depth interviews, a group-focused discussion and observation) this study shows the different impacts of ALAFU on each agricultural activity of affected household by comparing before and after ALAFU. Rice cultivation and animal breeding have sharply declined, but potted flower plantation (PFP) has quickly grown and is the main income of 34% of surveyed households. Rice cultivation has declined not only as a result of agricultural land acquisition, which has resulted in the loss of rice land, but also as a result of urbanization, which has resulted in rice land abandonment. Conversely, PFP is growing due to advantages associated with urbanization, such as a good consumer market and upgraded infrastructure. However, whether they are declining or increasing, all agricultural activities have to face challenges related to the shortcomings in agricultural land allocation and agricultural development plans. This study suggests that if ALAFU projects are continued, the government should evaluate agricultural development and forecast farmland abandonment after ALAFU. Simultaneously, they should put more effort into maintaining agriculture in the form of peri-urban or urban agriculture, which is significant for sustainable development in affected communities.

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING BIRTH RATE IN BATAM CITY USING BACKPROPAGATION METHOD

JURTEKSI ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 85-94
Author(s):  
Muhammad Jufri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Family Planning ◽  
Population Growth ◽  
Birth Rate ◽  
The Past ◽  
Backpropagation Method ◽  
Artificial Neural ◽  
The Government ◽  
The City

Abstract: The population growth in Indonesia is increasing rapidly every year, so to help the government control the population growth through family planning programs, especially in the city of Batam. This study explains and describes one of the Artificial Terms Network methods, namely Backpropagation, where this method can predict what will happen in the future using data and information in the past. This study aims to predict the birth rate in the city of Batam to help the government with the family planning program. The data used is the annual data on the number of births in the city of Batam in 2016-2020 at The Civil Registry Office. To facilitate the analysis of research data, the data were tested using Matlab R2015b. In this study, the training process was carried out using 3 network architectures, namely 4-10-1, 5-18-1, and 4-43-1. Of these 3 architectures, the best is the 4-43-1 architecture with an accuracy rate of 91% and an MSE value of 0.0012205. The Backpropagation method can predict the amount of population growth in the city of Batam based on existing data in the past.           Keywords: artificial neural network; backpropagation; prediction   Abstrak: Pertumbuhan jumlah penduduk diindonesia yang setiap tahun meningkat dengan pesat, maka untuk membantu pemerintah mengendalikan jumlah pertumbuhan penduduk melalui program keluarga berencana khususnya dikota Batam. Penelitian ini  menjelaskan dan memaparkan tentang salah satu metode Jaringan Syarat Tiruan yaitu Backpropagation, dimana metode ini dapat memprediksi apa yang akan terjadi masa yang akan datang dengan menggunakan data dan informasi dimasa lalu. Penelitian ini bertujuan untuk memprediksi tingkat kelahiran di kota Batam sehingga membatu pemerintah untuk perencanaan keluarga berencana. Data yang digunakan yaitu data tahunan jumlah kelahiran di kota Batam pada tahun 2016-2020 pada Dinas Kependudukan dan Catatan Sipil. Untuk mempermudah analisis data penelitian maka, data diuji menggunakan Matlab R2015b. Pada penelitian ini dilakukan proses pelatihan menggunakan  3 arsitektur jaringan yaitu 4-10-1, 5-18-1, dan 4-43-1. Dari ke-3 arsitektur ini yang terbaik adalah arsitektur 4-43-1 dengan tingkat akurasi sebesar 91% dan nilai MSE 0,0012205. Metode backpropagation mampu memprediksi jumlah pertumbuhan penduduk di kota Batam berdasarkan data yang ada dimasa lalu. Kata kunci: backpropagation; jaringan syaraf tiruan; prediksi 

scholarly journals Factors Influencing Food Shortage in Mtwara Mikindani Municipality, Tanzania

2018 ◽  
Vol 5 (2) ◽  
pp. 123-130
Author(s):  
Robert Ngelela Shole
Keyword(s):  
Food Shortage ◽  
Government Support ◽  
Strong Base ◽  
Scientific Methods ◽  
Factors Influencing ◽  
The Status ◽  
Probable Answer ◽  
The Government ◽  
Small Producers ◽  
Structured Questionnaire

Globally food shortage is still a problem for instance Africa, the most of popular region in the world still has the highest of under nourished. The probable answer to what are the factors influencing food shortage In Tanzania are not well known and documented. This study sought to assess the factors influencing the food shortage in Mtwara Mikindani Municipality by identifying factors influencing food shortage, determining the status of food availability and accessibility and finding out the possible measures to be taken in order to overcome the problem of food. Structured questionnaire, observation and Oral interview had been useful for collecting primary information in which the best recorded interviewees were analyzed supplemented by documentaries. Generally, this study concludes that food shortage in the study area is influencing by, climate change, bad tradition believe, poor government support, laziness culture, land degradation and infertility land. However, the government should not delay to implement its policies practically especially to the small producers so as to establish strong base on agriculture. Also, the government to employ as many as it can agricultural officers so as to allow farmers to get frequent visitors who will  advise them on how to produce efficiently their products by using irrigation methods and scientific methods like the use of improved seeds.  

scholarly journals SVM ALGORITHM FOR PREDICTING RICE YIELDS

2020 ◽  
Vol 13 (2) ◽  
pp. 50-54
Author(s):  
Nur Nafi'iyah
Keyword(s):  
Agricultural Land ◽  
Rice Yield ◽  
Weather Conditions ◽  
Original Data ◽  
Research Process ◽  
Svm Algorithm ◽  
Food Shortages ◽  
Rice Yields ◽  
The Government ◽  
Linear Svm

Agriculture in Indonesia is highly dependent on reservoir irrigation water sources and rain. Because some agricultural land in Indonesia is rainfed. Plants in Indonesia rely on water from rain and irrigation. Weather conditions greatly affect the number of farmers' harvest. Farmers often experience crop failures due to changing weather. From data from the Central Statistics Agency, it is stated that the number of rice yields in 2019 decreased by 7.76% compared to 2018. In order to avoid rice imports and rice food shortages, a breakthrough is needed that can help the government in making policies. One of the breakthroughs is creating a rice yield prediction system. The research process consisted of collecting data via the web: https://www.pertanian.go.id/home/?show=page&act=view&id=61. The data shows the variables of province, year, land area, production. The total number of data is 170 rows, with a division of 130 lines for training, and 40 for testing. Furthermore, the data is processed and processed and normalized. The results of data processing are then trained and predicted with a linear SVM kernel. The results of SVM prediction with original data without normalization of MAPE 6635.53%, and RMSE 1094810.74. The results of SVM prediction with normalized data first, the MAPE value was 9427.714%, and RMSE 0.017.

scholarly journals An Econometric Validation of Malthusian Theory: Evidence in Nigeria

2018 ◽  
Vol 7 (1) ◽  
pp. 77-90
Author(s):  
Musa Abdullahi Sakanko ◽  
Joseph David
Keyword(s):  
Population Growth ◽  
Food Production ◽  
Time Series Data ◽  
Control Measure ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Bound Test ◽  
Malthusian Theory

Rising population is an asset, provided, the skills of the workforce are used to the maximum extent. If not appropriately channelized, it can be a liability for a nation. A skilled and hardworking population can emerge as a foundation for a country’s development. This study examines the validity of Malthusian Theory in Nigeria using time series data from 1960 to 2016, employs the ARDL bound test techniques. The result shows that in the long-run, population growth and food production move proportionately, while population growth poses a depleting effect on food production in the short-run, thus validating the incidence of Malthusian impact in Nigerian economy in the short-run. The researcher recommended the government should strategize plans, which will further intensify family planning and birth control measure, compulsory western education and revitalization of the agricultural sector.DOI: 10.150408/sjie.v7i1.6461

The Contribution of Information Science through Intellectual Property to Innovation in the Brazilian Health Sector

2014 ◽  
pp. 83-115 ◽  
Author(s):  
Adelaide Maria de Souza Antunes ◽  
Flavia Maria Lins Mendes ◽  
Suzanne de Oliveira Rodrigues Schumacher ◽  
Luc Quoniam ◽  
Jorge Lima de Magalhães
Keyword(s):  
Public Health ◽  
21St Century ◽  
Global Economy ◽  
Information Science ◽  
Health Sector ◽  
Emerging Countries ◽  
Domestic Production ◽  
Notable Feature ◽  
Leading Role ◽  
The Government

In response to the challenges of the 21st century, emerging countries have played an increasingly leading role in the global economy, and public health has been a notable feature of the government agendas in these countries. According to the IMF, Brazil is one of the countries with the greatest potential to stand out in this context. The quantity of research and development into technologies for drugs and medications is important for supporting innovation in the health sector. Information science can therefore help considerably in the analysis of patents, indicating trends, revealing opportunities for investors, and assisting the decision-taking process by private sector managers and government agents. This study is based on the extraction of valuable information contained in the hidden Web through technology foresight of products deemed strategic by the Brazilian Ministry of Heath, which are the target of public policies and investments by the state for domestic production.

Getting Started

2019 ◽  
pp. 1-18
Author(s):  
Elizabeth Lominska Johnson ◽  
Graham E. Johnson
Keyword(s):  
Twentieth Century ◽  
Japanese Occupation ◽  
New Town ◽  
Industrial City ◽  
Fishing Villages ◽  
Wage Labour ◽  
Large Numbers ◽  
Small Industry ◽  
The Government ◽  
Post Industrial

In the first decades of the twentieth century, Tsuen Wan began its transformation from an impoverished district of Hakka farming and fishing villages to one in which wage labour became available in infrastructure construction and small industry. After the Japanese occupation the area industrialized rapidly, attracting large numbers of immigrants from China. They adapted by forming associations, while the original people rented land and housing to the newcomers. The government initially was overwhelmed, but eventually began planning a ‘new town’, with the original inhabitants remaining in their villages, their rights protected in today’s post-industrial city.

The “Government of the Sertões and Indians”

2020 ◽  
Vol 77 (1) ◽  
pp. 3-39
Author(s):  
Rafael Chambouleyron
Keyword(s):  
Eighteenth Century ◽  
Central Element ◽  
Amazon Region ◽  
Sugar Production ◽  
Domestic Consumption ◽  
Domestic Production ◽  
Early Eighteenth Century ◽  
Sugar Plantations ◽  
The Government

AbstractThis article discusses the role played by the production of sugar and cane liquor (aguardente) in the seventeenth and early eighteenth-century Amazon region. It shows how the development of sugar production had a double significance: sugar plantations had to produce a commodity that could be exported so as to generate revenues for the Royal Treasury, but they also had to produce aguardente for domestic consumption (including by those Indians who worked for the Portuguese). This domestic production provoked distrust on the part of the Crown, since it was believed to threaten sugar production overall. Nevertheless, aguardente production became a central element in the Portuguese dominion of the sertões (or sertão, the hinterland), while continuing to increase the revenues of the royal treasury.

The Patronymic of Her Choice

2021 ◽  
pp. 21-55
Author(s):  
Mie Nakachi
Keyword(s):  
Population Growth ◽  
Government Policy ◽  
Family Law ◽  
Well Being ◽  
Fundamental Change ◽  
Soviet Leadership ◽  
The Creation ◽  
New Vision ◽  
The Government ◽  
The Masses

As the victory over the Nazis came into sight and the demographic disaster became apparent, the Soviet leadership keenly felt the need to strengthen pronatalist policy. Several proposals submitted in 1943–1944 expanded existing pronatalist measures without a fundamental change in the vision of population growth. However, Khrushchev, proconsul of devastated Ukraine, submitted the most comprehensive overhaul based on a new vision for population and pronatalism. The government policy reveals a two-faced practice of Bolshevik language, claiming to “protect motherhood” when addressing the masses, and non-Bolshevik discourse, population engineering language, among the top leadership. In the final law, policymakers prioritized giving men the incentive to father extramarital children over assuring the overall well-being of unmarried mothers and their children. This chapter traces the creation of the 1944 Family Law, legislation that definitively shaped the postwar generation in a deeply gendered manner.

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