SPATIAL ANALYSIS OF PADDY RICE PRICE VARIABILITY IN DASS AND TAFAWA BALEWA LGAS OF BAUCHI STATE, NIGERIA

2021 ◽  
pp. 31-42
Keyword(s):  
Spatial Analysis ◽  
Spatial Variation ◽  
Paddy Rice ◽  
T Test ◽  
Price Transmission ◽  
Capital Outlay ◽  
Price Variation ◽  
Price Variability ◽  
Rural Markets ◽  
Rice Price

The study was conducted on the spatial analysis of paddy rice (Oryza sativa) price variability in Dass and Tafawa Balewa LGAs of Bauchi State, Nigeria. Data were collected using questionnaires administered to 120 respondents sampled through random sampling technique. Secondary data were also collected from BSADP Bauchi on monthly prices of paddy rice. Data were analyzed using descriptive statistics (mean, frequency, ranking and likert scale), pearson product correlation, T-test and ratio to moving average model. It was revealed that the leading causes of spatial rice price variability were spatial variation in supply, high cost of transportation and inadequate market information. There was existence of price integration or perfect price transmission between and among the urban and rural markets during the period of study. The magnitude of paddy rice price variability in the rural markets were higher, and the t-test shows that there was a significant (P < 0.05) difference in price of paddy rice between rural and urban markets. Spatial variation in supply, bad road condition, seasonal variation in supply, inadequate contact with extension agents and low capital outlay were the major constraints militating against paddy rice marketing in the study area. Therefore, it is recommended that Rural feeder roads should be constructed by government, NGOs or individuals to enable easy movement of produce as well as all year round production/supply of rice should be encouraged through provision of fund and inputs by relevant stakeholders to farmers for dry season farming in order to curtail the problem of price variation due to seasonality in production.

scholarly journals A spatial database of colorectal cancer patients and potential nutritional risk factors in an urban area in the Middle East

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Neda Firouraghi ◽  
Nasser Bagheri ◽  
Fatemeh Kiani ◽  
Ladan Goshayeshi ◽  
Majid Ghayour-Mobarhan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Spatial Analysis ◽  
Spatial Variation ◽  
Cancer Patients ◽  
Age Groups ◽  
Geographical Information ◽  
Nutritional Risk ◽  
Research Report ◽  
The City

Abstract Objectives Colorectal cancer (CRC) is the third most common cancer across the world that multiple risk factors together contribute to CRC development. There is a limited research report on impact of nutritional risk factors and spatial variation of CRC risk. Geographical information system (GIS) can help researchers and policy makers to link the CRC incidence data with environmental risk factor and further spatial analysis generates new knowledge on spatial variation of CRC risk and explore the potential clusters in the pattern of incidence. This spatial analysis enables policymakers to develop tailored interventions. This study aims to release the datasets, which we have used to conduct a spatial analysis of CRC patients in the city of Mashhad, Iran between 2016 and 2017. Data description These data include five data files. The file CRCcases_Mashhad contains the geographical locations of 695 CRC cancer patients diagnosed between March 2016 and March 2017 in the city of Mashhad. The Mashhad_Neighborhoods file is the digital map of neighborhoods division of the city and their population by age groups. Furthermore, these files include contributor risk factors including average of daily red meat consumption, average of daily fiber intake, and average of body mass index for every of 142 neighborhoods of the city.

Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market

2019 ◽  
Vol 18 (01) ◽  
pp. 1950006 ◽  
Author(s):  
Chanchala Hathurusingha ◽  
Neda Abdelhamid ◽  
David Airehrour
Keyword(s):  
Price Volatility ◽  
Economic Factors ◽  
Sri Lankan ◽  
Price Variation ◽  
Rice Market ◽  
Rice Price ◽  
Relationship Of ◽  
The Relationship ◽  
Viable Mechanism

Paddy rice is a staple food that is common among the Sri Lankan populace. However, the frequent price variation of rice has negatively impacted the Sri Lankan economy. This is due to the Sri Lankan rice market lacking the mechanisms to evaluate and predict future rice price variations, often leaving domestic traders and consumers affected by sudden price spikes. This study identifies the quantifiable economic factors that affect the sudden rice price variations and presents a viable mechanism for forecasting Domestic Rice Price (DRP). In addition, it establishes three different regression models to emphasise the relationship of DRP in Sri Lanka with three economic factors: International Rice Price (IRP), International Crude Oil Price (ICOP), and USD Exchange Rate. Further, a time series model is formulated to forecast future variations in DRP while advancing factors that have a significant, but negative, correlative impact on the DRP. The results presented in this study show that the models proposed can be used by relevant food authorities to predict sudden hikes and dips in DRP, allowing them to establish a robust price control system.

scholarly journals Within-Industry Specialization and Global Market Power

2020 ◽  
Vol 12 (1) ◽  
pp. 75-124
Author(s):  
Ahmad Lashkaripour
Keyword(s):  
Income Inequality ◽  
Spatial Variation ◽  
Market Power ◽  
Export Price ◽  
National Income ◽  
Global Market ◽  
Price Variation ◽  
Industry Specialization ◽  
Pattern Of Specialization ◽  
Cross National

Export price levels exhibit tremendous cross-national and spatial variation, even within narrowly defined industries. Standard theories attribute this variation to within-industry quality specialization. This paper argues that a significant portion of the export price variation is driven by rich and remote economies specializing in high-market power segments of industries. I also argue that this particular pattern of specialization (i) accounts for 30 percent of the overall gains from trade, and (ii) explains more than 37 percent of the observed cross-national income inequality. (JEL D43, F12, F13, F14, L15, L22, O19)

scholarly journals Ambient Population and Larceny-Theft: A Spatial Analysis Using Mobile Phone Data

2020 ◽  
Vol 9 (6) ◽  
pp. 342
Author(s):  
Li He ◽  
Antonio Páez ◽  
Jianmin Jiao ◽  
Ping An ◽  
Chuntian Lu ◽  
...  
Keyword(s):  
At Risk ◽  
Spatial Analysis ◽  
Mobile Phone ◽  
Spatial Variation ◽  
Activity Patterns ◽  
Local Population ◽  
Mobile Phone Data ◽  
Alternative Measure ◽  
Population At Risk ◽  
Ambient Population

In the spatial analysis of crime, the residential population has been a conventional measure of the population at risk. Recent studies suggest that the ambient population is a useful alternative measure of the population at risk that can better capture the activity patterns of a population. However, current studies are limited by the availability of high precision demographic characteristics, such as social activities and the origins of residents. In this research, we use spatially referenced mobile phone data to measure the size and activity patterns of various types of ambient population, and further investigate the link between urban larceny-theft and population with multiple demographic and activity characteristics. A series of crime attractors, generators, and detractors are also considered in the analysis to account for the spatial variation of crime opportunities. The major findings based on a negative binomial model are three-fold. (1) The size of the non-local population and people’s social regularity calculated from mobile phone big data significantly correlate with the spatial variation of larceny-theft. (2) Crime attractors, generators, and detractors, measured by five types of Points of Interest (POIs), significantly depict the criminality of places and impact opportunities for crime. (3) Higher levels of nighttime light are associated with increased levels of larceny-theft. The results have practical implications for linking the ambient population to crime, and the insights are informative for several theories of crime and crime prevention efforts.

scholarly journals Analisis Transmisi Harga Beras di Kabupaten Ogan Komering Ilir Provinsi Sumatera Selatan

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Endang Lastinawati ◽  
Andy Mulyana ◽  
Imron Zahri ◽  
Sriati Sriati
Keyword(s):  
Basic Needs ◽  
Marketing Channel ◽  
Price Transmission ◽  
Series Data ◽  
Marketing System ◽  
Rice Market ◽  
Price Series ◽  
Consumer Prices ◽  
Rice Price ◽  
Rice Prices

Lastinawati et al, 2018. Price Transmission Analysis of Rice in Ogan Komering Ilir District, South Sumatra Province. JLSO 7(1) Price transmission is one indicator of whether or not a marketing system is efficient and also can explain the distribution of welfare between producers and consumers in the marketing channel. This study aimed to analyze the transmission of rice prices which are the basic needs of the Indonesian people, both the price transmission of consumer to farmers, and vice versa, with two groups of rice based on their quality, namely premium and medium rice. This research conducted at Ogan Komering Ilir District, South Sumatra Province. Price transmission was analyzed using price transmission elasticity, using weekly rice price series data from the second week of March 2016 to the second week of September 2018. The results showed that the transmission of consumer prices of premium and medium rice to the price of harvested dry grain at farmer level had an elasticity value not equal to one, and vice versa. This showed that the rice market in Ogan Komering Ilir Regency was in elastic and less efficient, because prices were transmitted asymmetrically.

scholarly journals Welfare Effect of Adaptation Policy for Rice Price Variation under Climate Change in Bangladesh

2021 ◽  
pp. 26-40
Author(s):  
M. A. Salam ◽  
Jun Furuya ◽  
Shintaro Kobayashi
Keyword(s):  
Social Welfare ◽  
Consumer Surplus ◽  
Price Policy ◽  
Welfare Effect ◽  
Adaptation Policy ◽  
Price Variation ◽  
Total Surplus ◽  
Rice Price ◽  
Producer Surplus ◽  
Support Price

This study was designed to evaluate the welfare effect of the climate adaptation policy for rice price variation in terms of producer surplus, consumer surplus, and net change in social welfare in Bangladesh, using the partial equilibrium model of the adaptation policy. The long-term trend of climate and policy adaptation for climate impact on price variation of the rice in Bangladesh is taken into economic model approach. The base period of this research is 1977-2009 and the extrapolation period is 2010-2030. To execute the designed analysis, the time series data from national and international organization are used. The results for the support price policy show that the total surplus that producers receive is equivalent to USD 1,164 million, substantially higher than the consumer surplus (USD 763 million) during the period 2010–2030. The net change in the social welfare owing to the support price policy is equivalent to –1483 million (USD) during the period 2010–2030. Moreover, analysis of the subsidized price policy shows that the total surplus that consumers receive (USD 1,958 million) is relatively higher than the producer surplus (USD 1,738 million) in the same period. The net change in social welfare owing to the subsidized price policy (–197 million USD) is much higher than that owing to price support –1483 million (USD). Implementing the dual price policy would result in a much higher net change in the society’s welfare (–1185 million USD) compared to that possible through each policy separately. In conclusion, these adaptation and price stabilization policies are recognized to be more useful in mitigating the severe price rise and fall in the future food market, in favour of both producers and consumers. Even though the change in net social welfare is higher, the higher cost of policy budget is imperative to make stable food supply and security.

scholarly journals INTEGRASI HARGA BERAS ERA PERDAGANGAN TERBUKA DAN DAMPAKNYA TERHADAP SWASEMBADA DAN KESEJAHTERAAN PELAKU EKONOMI BERAS

2020 ◽  
Vol 14 (1) ◽  
pp. 21-46
Author(s):  
Iwan Hermawan ◽  
Eka Budiyanti
Keyword(s):  
Error Correction ◽  
Free Market ◽  
Error Correction Model ◽  
Price Transmission ◽  
Open Market ◽  
Correction Model ◽  
Trade Off ◽  
Self Sufficiency ◽  
Rice Price ◽  
Market Regimes

Abstrak Kebijakan liberalisasi perdagangan beras dianggap kurang populis dibandingkan progam pencapaian swasembada beras. Volatilitas harga beras dunia dikhawatirkan akan mengganggu kondisi perberasan nasional. Tujuan penelitian ini untuk menganalisis (a) integrasi harga beras domestik di tingkat pasar dunia dan pasar regional, dan (b) dampak integrasi harga beras terhadap swasembada dan kesejahteraan pelaku ekonomi beras. Pendekatan analisis yang digunakan adalah metode gabungan, yaitu (a) error correction model (ECM), (b) index of market connection (IMC), dan (c) model persamaan simultan. Data yang digunakan adalah data sekunder tahun 1998-2017. Hasil analisis menunjukkan harga beras domestik terintegrasi dengan harga beras dunia pada rezim perdagangan terbuka bebas (tahun 1998-1999) dan terbuka terkendali (tahun 2000-2007 dan tahun 2008-2017). Sementara di tingkat regional, harga beras di Jakarta dengan beberapa kota besar lainnya tidak terintegrasi. Meskipun demikian, melalui transmisi harga beras yang terbentuk menunjukkan adanya trade off antara peningkatan kesejahteraan produsen dan konsumen saat rezim pasar terbuka-bebas dibandingkan rezim pasar terbuka-terkendali. Hasil analisis yang sangat menarik adalah kebijakan pasar bebas ternyata lebih merangsang peningkatan kesejahteraan produsen daripada rezim pasar terbuka-terkendali. Tingkat swasembada beras yang menurun mengindikasikan terjadinya realokasi sumber daya. Oleh karena itu, kebijakan perdagangan bebas bukan harus dihindari, tetapi dapat menjadi opsi kebijakan untuk membantu memenuhi kebutuhan beras domestik.   Abstract Trust through the rice world market was not considered as a populist option than the reach of rice self-sufficiency. Its volatility could negatively affect on domestic rice condition. This research analyzed (a) integration of domestic rice price at the world and regional market level, and (b) its impact on the rice self-sufficiency and the welfare of rice economic agents. The approach used joint methods, includes (a) error correction model (ECM), (b) index of market connection (IMC), and (c) simultaneous equations model. Secondary data was used in the period year 1998-2017. The result shows that domestic rice price is integrated with world rice price in open market regimes (the year 1998-1999) and open controlled market regimes (the year 2000-2007 and year 2008-2017). While at the regional level, rice prices in Jakarta with some of the big cities were relatively not integrated. Rice price transmission has revealed a trade-off between increasing producer’s and consumer’s welfare on free-market regimes compared with open under control regimes. Moreover, surprisingly, the free-market policy was more stimulating to increase producer’s welfare than opened under the control regime. Rice self-sufficiency level decreasing represented resource reallocation. Hence, free trade rice policy is not a sin. It should be a potential option to help meet domestic rice needs. JEL Classification: C13, F13, F14

The Metal Silo: An Effective Grain Storage Technology for Reducing Post-Harvest Losses in Paddy Storage

2017 ◽  
Vol 728 ◽  
pp. 353-358 ◽  
Author(s):  
Nithitorn Kongkaew ◽  
Theerasak Srimitrungroj ◽  
Somrat Kerdsuwan
Keyword(s):  
Storage Conditions ◽  
Paddy Rice ◽  
Grain Storage ◽  
Bulk Storage ◽  
Post Harvest ◽  
Storage Technology ◽  
Rice Price ◽  
Consumer Demands

Nowadays Thai farmers confront with the slowdown of rice price problems and the more increasing price of materials. Thus, the expense exceeds the revenue and the farmers do not have enough money. Because paddy rice that farmers sold are contain of more moisture more than 15%, thus the quality of paddy rice is not good. Therefore, the price is cheap based on the quality of paddy rice. Moreover, the consumer demands of rice are steady throughout the year but the rice products are sold by the farmer only after the harvest period. As a result, the price decreased during that period. The merchants/middlemen usually stock rice and resell again afterwards. The paddy silo is the concept for bulk storage of paddy; silo can control storage conditions which will constantly maintain the quality of paddy and prevent access by the rodents, birds and insects. After keep the paddy in silo for the period, the paddy will be sold to the market again at the suitable period. In addition, the qualities of paddy products are not change and the moisture in the paddy will meet the standard.

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