scholarly journals Dampak Banjir Terhadap Pendapatan Petani Padi di Pinggir Danau Singkarak Nagari Paninggahan Kecamatan Junjung Sirih Kabupaten Solok

JURNAL BUANA ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 45
Author(s):  
Meri Andani ◽  
Yurni Suasti ◽  
Ahyuni .
Keyword(s):  
Agricultural Land ◽  
Total Sample ◽  
Quantitative Approach ◽  
Agricultural Products ◽  
Production Costs ◽  
Land Area ◽  
Rice Farmers ◽  
The Impact

DAMPAK BANJIR TERHADAP PENDAPATAN PETANI PADI DI PINGGIR DANAU SINGKARAK NAGARI PANINGGAHAN KECAMATAN JUNJUNG SIRIH KABUPATEN SOLOK Meri Andani[1], Yurni Suasti[2], Ahyuni2 Program Studi Pendidikan Geografi Fakultas Ilmu Sosial, Universitas Negeri Padang Email [email protected] Abstrak Penelitian ini bertujuan mengetahui dampak banjir terhadap pendapatan petani padi di Pinggir Danau Singkarak Nagari Paninggahan. Jenis Penelitian ini adalah deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah seluruh petani padi yang lahan pertanian padinya terkena banjir yaitu 160 KK dengan jumlah sampel 40 KK. Hasil penelitian ini menunjukkan bahwa dampak banjir terhadap pendapatan petani padi sangat besar. Petani padi pada saat tidak terkena dampak banjir memperoleh pendapatan akan tetapi pada saat terkena dampak banjir sebagian besar mengalami kerugian. Petani padi yang memiliki luas lahan kurang dari 0,25 ha mengalami penurunan pendapatan sebesar 138,20%, luas lahan antara 0,26 - 0,50 ha mengalami penurunan pendapatan sebesar 130,90%, luas lahan antara 051 - 0,99 ha mengalami penurunan pendapatan sebesar 109,63% dan luas lahan lebih dari 1 ha mengalami penurunan pendapatan sebesar 99,12%. Kata kunci : Luas Lahan, Biaya Produksi, Hasil Pertanian, Pendapatan. Abstract This study aims to determine the impact of flooding on the income of rice farmers on the shores of Lake Singkarak Nagari Paninggahan. This type of research is descriptive with a quantitative approach. The population in this study were all rice farmers whose agricultural land affected by flooding was 160 households with a total sample of 40 families. The results of this study indicate that the impact of the flood on the income of rice farmers is very large. Rice farmers when they are not affected by the flood receive income but when affected by the flood most experience losses. Rice farmers who have a land area of less than 0.25 ha have decreased income by 138.20%, the land area between 0.26 - 0.50 ha has decreased income by 130.90%, the land area between 051 - 0.99 ha experienced a decrease in income of 109.63% and a land area of more than 1 ha experienced a decrease in income of 99.12%. Keywords: Land Area, Production Costs, Agricultural Products, Income [1] Mahasiswa Program Studi Pendidikan Geografi [2] Dosen Jurusan Geografi Fakultas Ilmu Sosial Universitas Negeri Padang dengan Pembimbing I Dra. Yurni Suasti, M.Si dan Pembimbing II Ahyuni, ST M.Si

scholarly journals The Effect of Price, Land Area and Production Costs on Rice Farmer’s Income: Case in Bone Bolango Regency

2022 ◽  
Vol 4 (1) ◽  
Author(s):  
Karsum Usman ◽  
Usman Moonti ◽  
Sri Endang Saleh
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Research Method ◽  
Multiple Linear Regression Model ◽  
Total Sample ◽  
Production Costs ◽  
Coefficient Of Determination ◽  
Land Area ◽  
Independent Variables ◽  
Rice Farmers

This study aims to determine the effect of price, land area and production costs on the income of rice farmers in North Toto Village, Tilongkabila District, Bone Bolango Regency. Data collection techniques used in this study were observation, interviews, questionnaires, and documentation. With a total sample of 44 farmers in North Toto Village. This research method uses a quantitative approach with multiple linear regression model analysis. The results showed that the price had a negative and insignificant effect on the income of rice farmers in North Toto Village. This means that every 1% increase in price can reduce income by 0.237. Land area has a positive and significant effect on the income of rice farmers in North Toto Village. This means that every 1% increase in land area can increase income by 0.682. Production costs have a negative and significant effect on the income of rice farmers in North Toto Village. This means that every 1% increase can reduce income by -0.254. The coefficient of determination (R Square) is 0.596, this shows that the percentage of rice farmers' income variation which is explained by the variation of the independent variables, namely price, land area and production costs is 59.6% for the remaining 40.4% influenced by other variables.

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.

scholarly journals The Factors Affecting Farmland Rental Prices in Slovakia

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 96
Author(s):  
Ivan Takáč ◽  
Jarmila Lazíková ◽  
Ľubica Rumanovská ◽  
Anna Bandlerová ◽  
Zuzana Lazíková
Keyword(s):  
Agricultural Land ◽  
Economic Value ◽  
Production Costs ◽  
The European Union ◽  
Total Revenue ◽  
Factors Affecting ◽  
Positive Effects ◽  
Land Rental ◽  
Land Valuation ◽  
The Impact

Agricultural land is a limited natural resource with increasing economic value. This study analyses land rental relationships in Slovakia, including legal rental regulations, and identifies the impact of certain factors, such as the European Union Common Agricultural Policy (CAP) payments, and geographical and economic factors on land rental prices. From the results of econometric models, it was found that certain CAP payments have an effect on rental prices, mainly the single area payment scheme (SAPS), payments for agri-environmental-climate schemes (AECS), and animal welfare, which were found to have positive effects. Other important factors found to influence rental prices are economic indicators (such as total revenue share of total costs, share of revenue from agricultural production in terms of total revenue, share of production costs as a percentage of total costs, wages, and number of employees) and geographical factors (such as region or partial production areas). However, the distance of the farm from the district city (LAU 1) and the share of farmland affected by natural constraints do not considerably affect rental prices in Slovakia. Land consolidation is a statistically significant factor according to the models; however, its impact is almost zero. Knowledge of these factors constitutes important know-how, not only for policy makers but also for the actors operating in the land rental market (e.g., landlords, tenants, experts on land valuation, and real estate agents).

scholarly journals Assessing the impact of saltwater intrusion on agricultural land in Nghe An’s coastal areas in the context of climate change

2017 ◽  
Vol 1 (T4) ◽  
pp. 274-281
Author(s):  
Ve Ngoc Hoang ◽  
Thai Hong Tran
Keyword(s):  
Climate Change ◽  
High Risk ◽  
Saltwater Intrusion ◽  
Agricultural Land ◽  
Coastal Areas ◽  
Agricultural Lands ◽  
Land Area ◽  
Production Forests ◽  
Paddy Land ◽  
The Impact

Climate change is occurring increasingly complex and unpredictable, therefore the phenomenon of saltwater intrusion at coastal areas is also increasingly serious. The saltwater intrusion threatens the production and life of people in Nghe An’s coastal areas. Our study used MIKE11, MIKE 21 and ArcGIS software to assess the effects of saltwaters intrusion on agricultural land. The results indicate that the agricultural lands in Nghe An’s coastal areas are at high hazards of saltwater intrusion. Cua Lo town is the most affected by the saltwater intrusion, typically with land for cultivation of perennial trees (BHK), paddy land (LUC, LUK), land for production forests (RST), and land for aquaculture (TSL) are at high risk from the base (with more than 90 % of the total land area).

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI PADI WANITA DI KECAMATAN SAMUDERA KABUPATEN ACEH UTARA

2020 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
Umaruddin Usman ◽  
Mauliza Yanti
Keyword(s):  
Linear Regression ◽  
Production Costs ◽  
Women Farmers ◽  
Primary Data ◽  
Research Model ◽  
Land Area ◽  
Factors Affecting ◽  
Rice Farmers ◽  
Negative Effect ◽  
Female Farmers

This study aims to analyze the factors affecting the income of female rice farmers in Samudera District, North Aceh Regency. The data used in this study are primary data, namely women farmers in Samudera District, amounting to 51 people. This research model uses multiple linear regression. The results of the research. Partially, capital, land area and experience affect the income of female farmers in Samudera District. Production costs have a negative effect on the income of female farmers in Samudera District. The amount of production does not affect the income of female farmers in Samudera District

THE IMPACT OF THE SELECTED INSTRUMENTS OF THE COMMON AGRICULTURAL POLICY ON CHANGES IN THE LAND RESOURCES OF THE SMALL FARMS FROM MAŁOPOLSKA PROVINCE

2017 ◽  
Vol XIX (3) ◽  
pp. 345-350
Author(s):  
Dariusz Żmija
Keyword(s):  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Agricultural Land ◽  
Land Resources ◽  
Small Farms ◽  
Land Area ◽  
Small Impact ◽  
The Common ◽  
The Impact

The aim of the study was to identify and evaluate the changes in land resources of small farms in the Małopolskie Province in the years 2004-2015 which were a result of using of selected CAP instruments. In the light of the results of the research, it should be noted that the examined CAP instruments had a relatively small impact on the size of land area. Less than one fifth of the respondents made changes in the land resources. Considering only farms that have increased their area it can be stated that the area of agricultural land of these farms increased by 3.7%. This situation is not favorable, especially in the situation of large agrarian fragmentation of farms in Małopolskie Province.

scholarly journals DAMPAK KEANGGOTAAN KELOMPOK LUMBUNG PANGAN MASYARAKAT TERHADAP PENDAPATAN USAHATANI PADI DI KABUPATEN TAKALAR

Agric ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 69
Author(s):  
Muh Tahir ◽  
Sri Murdiyati ◽  
Sitti Arwati
Keyword(s):  
Data Analysis ◽  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Total Sample ◽  
T Test ◽  
Land Area ◽  
Income Levels ◽  
South Sulawesi ◽  
The Impact

<span class="fontstyle0">This study aims to analyze the income of paddy farming in members and non-members of the community granary group, and to know the impact of the membership of the granary group on the income of paddy farming. This research was conducted in Bontoloe Village, Galesong Sub District, Takalar District, South Sulawesi Province. Sampling was done by two methods, first for sample of granary member using purposive sampling method, second fornon-member of granary using simple random sampling method. So the total sample in this study were 34 farmers. Data analysis used is the analysis of different test (t test) and multiple linear regression. The results showed that the income earned by farmer members of the granary group amounted to Rp 9,386,227.00, while the income earned by non-member farmers in the granary group was Rp 9,175,144.00. Differences in paddy production, revenue, and income levels between member farmers and non-members of the granary group based on t test proved not significantly different. Factors that significantly affect the income level of paddy farming are land area, paddy seed price, pesticide price, and labor wage. While the impact of membership of community granary group was not significant to the income of paddy farming. But simultaneously (land area, price of paddy seed, price of urea fertilizer, phonska fertilizer price, pesticide price, labor wage, dummy member) can affect paddy farming income of 84.99%.</span>

scholarly journals THE IMPACT OF SHARE CROPPING SYSTEM ON THE PRODUCTIVITY OF RICE FARMING IN CENTRAL JAVA

2020 ◽  
Author(s):  
Lestari Rahayu Waluyati ◽  
Jamhari ◽  
Abi Pratiwa Siregar
Keyword(s):  
Land Tenure ◽  
Agricultural Land ◽  
Cropping System ◽  
Rice Production ◽  
Rice Farming ◽  
Land Area ◽  
Productivity Level ◽  
Regression Methods ◽  
Central Java ◽  
The Impact

The problem in rice production in Java is the decrease of agricultural land area, and the increase of old farmers, the share cropping system is a system of land tenure distribution that is mostly carried out in Java. The research was conducted in Klaten Regency as the centre for rice production in Central Java. This study aims to determine the management of rice farming using a share cropping system and factors that affect its productivity. The research involved 60 farmers as the research samples who were collected using multiple linear regression methods. The analysis revealed that the number of tenant farmers amounted to 38% with a relatively younger age and a land area of 0.7 ha. Economically, they live a decent life with revenue per cost 1.6 and profit per cost C 0.25, and a productivity level of 6.3 tons/ha, which is higher than the landowners are. The share cropping system in rice farming in Klaten Regency is a system of land use and labor that provides good incentives for the tenant

scholarly journals Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS, and Multicriteria Analysis in the Coastal Region of Bangladesh

2021 ◽  
Vol 13 (22) ◽  
pp. 12360
Author(s):  
Billal Hossen ◽  
Helmut Yabar ◽  
Takeshi Mizunoya
Keyword(s):  
Remote Sensing ◽  
Agricultural Research ◽  
Coastal Region ◽  
Production Costs ◽  
Green Gram ◽  
Landsat 8 ◽  
Land Area ◽  
Southeastern Part ◽  
The Impact ◽  
Suitable Land

The agricultural potential of Bangladesh’s coastal region has been threatened by the impact of climate change. Pulse crops with high nutritional value and low production costs such as green gram constitute an important component of a healthy and accessible diet for the country. In order to optimize the production of this important staple, this research aims to promote climate-smart agriculture by optimizing the identification of the appropriate land. The objective of this research is to investigate, estimate, and identify the suitable land areas for green gram production based on the topography, climate, and soil characteristics in the coastal region of Bangladesh. The methodology of the study included a Geographic Information System (GIS) and the Multicriteria Decision-Making approach: the Analytical Hierarchy Process (AHP). Datasets were collected and prepared using Landsat 8 imagery, the Center for Hydrometeorology and Remote Sensing (CHRS) data portal and the Bangladesh Agricultural Research Council. All the datasets were processed into raster images and then reclassified into four classes: Highly Suitable (S1), Moderately Suitable (S2), Marginally Suitable (S3), and Not Suitable. Then, the AHP results were applied to produce a final green gram suitability map with four classes of suitability. The results of the study found that 12% of the coastal area (344,619.5 ha) is highly suitable for green gram production, while the majority of the land area (82.3% of the area) shows moderately suitable (S2) land. The sensitivity analysis results show that 3.3%, 63.4%, 28.0%, and 1.2% of the study area are S1, S2, S3, and NS, respectively. It is also found that the highly suitable land area belongs mostly to the southeastern part of the country. The result of this study can be utilized by policymakers to adopt a proper green gram production strategy, providing special agricultural incentive policies in the highly suitable area as a provision for the increased food production of the country.

scholarly journals The impact of liquefaction disaster on farming systems at agriculture land based on technical and psychosocial perspectives

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245591
Author(s):  
Muhammad Basir-Cyio ◽  
Mahfudz ◽  
Isrun ◽  
Zeffitni
Keyword(s):  
Experimental Design ◽  
Organic Material ◽  
Agricultural Land ◽  
Farming Systems ◽  
Agricultural Products ◽  
Agricultural Lands ◽  
Plant Weight ◽  
The Republic ◽  
The Impact ◽  
Central Sulawesi

This research aims to determine the attitudes of the farmers whose lands are affected by liquefaction in Jono Oge, Central Sulawesi Province, The Republic of Indonesia. The methods used here were integrated survey and experimental design. The survey approach was intended to figure out the attitudes of the farmers viewpoints: (1) to return to their activities on the agricultural lands affected by liquefaction; (2) to consume their own agricultural products; and (3) of their willingness to be relocated. The experimental design approach was used to figure out the effectiveness of organic material input combined with the SP-36 fertilizer. The obtained results were analyzed using the Likert Scale, diversity test, correlational test, and regression test. The results showed that the farmers persevered farming on the lands affected by liquefaction (Index = 88.82%) yet refused to consume their own agricultural products with the reason that corpses remained buried beneath their lands (Index = 27.82%); and they also refused to be relocated (Index = 28.80%). The continued production suitability of the affected land was also investigated. Terrain profile identification results in Jono Oge showed the disaster impact was dominantly landslide as it still showed a clear characteristic horizon between the topsoil and the sub soil. This contrasts to terrain at Petobo, Central Sulawesi Province, where the high mix of the topsoil with the sub soil of agricultural land affected by liquefaction, prevented demarcation of the horizon. The land treatment of organic material and SP-36 fertilizer showed that the combined dose (M) of 40-kg ha-1 with P 300-kg ha-1 had the highest effect by changing the field pH from 5.7 to 6.41, increased the availability of P and increased the corncob indicator plant weight. Based on these indications, the lands affected by the liquefaction in Jono Oge can still be used as agricultural lands through restoration, from both social and technical aspects.

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