PERFORMANCE OF AGRIBUSINESS AND SOCIO-ECONOMIC SYSTEMS OF SOYBEAN FARMERS IN NORTH SUMATRA

2021 ◽  
Vol 2 (4) ◽  
pp. 15-31
Author(s):  
Leni Handayani ◽  
Bambang Hermanto ◽  
Dian Habibie ◽  
Sugiar Sugiar

Many factors must be considered in agricultural development in North Sumatra ranging from farmers as producers, availability of land for production, cultivation of planting, superior seeds, fertilizers, agricultural facilities/tools, infrastructure, post-harvest, distribution, processing of produce, price stability, to fulfilled food at the level of consumption. The purpose of this study is to analyze the performance of agribusiness systems as well as socio-economic factors of soybean farmers in North Sumatra. To assess the performance of agribusiness systems with good criteria, good enough and less good used questionnaire data by shifting the answer score by weight. To test socioeconomic factors, a formula for multiple linear regression is used. The results showed that farmers in carrying out aspects of organizing on average were good (score 31.6). Statistical tests of socio-economic factors of age (X2), education (X3), number of dependents (X5) have no real effect on the income of soybean farmers (Y) while land area (X1)and experience (X4) have a real effect on the income of soybean farmers (Y).

2020 ◽  
Vol 21 (1) ◽  
pp. 42-49
Author(s):  
Erni Dida ◽  
Made Tusan Surayasa ◽  
Serman Nikolaus

ABSTRACT This research was conducted in Nunkurus Village, East Kupang District, Kupang Regency. Data collection was carried out in April-June 2019. The purpose of this study was to: determine the level of dynamics of farmer groups in Nunkurus Village, East Kupang Subdistrict, Kupang Regency, and to analyze the relationship between socio-economic factors and the level of dynamism of farmer groups in Nunkurus Village, East Kupang Subdistrict, Kupang Regency in trying to farm. The location of the study was determined intentionally (purposive sampling), while the respondents were determined by means of professional random sampling of members of farmer groups, and intentionally towards the chairmen and secretaries of each farmer group. The number of respondents was 48 people. The type of data collected is primary data and secondary data. Data collected was analyzed using a Likert Scale, and Sperman Rank nonparametric statistical tests. The results showed that: (1) the dynamics of farmer groups in Nunkurus Village, East Kupang District, Kupang Regency was classified as "quite dynamic" (65%). The atmosphere of the group contributes the most, namely 70% while the element of developing and fostering the group contributes only 60%, and (2) the socioeconomic factor of the level of education has a significant relationship with the dynamics of the farmer group in Nunkurus Village. While socio-economic factors of age, experience of farming, land area and number of family dependents have insignificant relationship with the dynamics of farmer groups in Nunkurus Village, East Kupang District, Kupang Regency.


2020 ◽  
Vol 12 (6) ◽  
pp. 2457 ◽  
Author(s):  
Xue Zhong ◽  
Xiaohui Jiang ◽  
Leilei Li ◽  
Jing Xu ◽  
Huanyu Xu

Under the influence of climate change and human activities, sediment load in rivers has changed significantly, which has a profound impact on the stability of ecosystems and the sustainable development of human beings. Taking the Yanhe River watershed as a case, this paper expounds the dynamic relationship among the Grain for Green Project, social and economic development, population migration, and sediment transport. The variability of sediment load was detected by Pettitt test, the double cumulative curve method, and the regression analysis method, and the effects of climate and human activities on sediment load were quantitatively analyzed. The results showed that 1) from 1956 to 2016, the precipitation of Yanhe River watershed rose slightly in the past 10 years, but the sediment load decreased significantly; 1996 was identified as the catastrophic year of the study period, when the contribution of climate change and human activity to reduced sediment load was 14.1% and 85.9%, respectively. 2) The Grain for Green Project increased the vegetation coverage of the study area from 40.6% to 78.5%. 3) The proportion of agricultural GDP in total GDP decreased from 52.26% to 7.3%, and the proportion of agricultural GDP was positively correlated with sediment transport and cultivated land area (p < 0.01). 4) Population migration resulted in the urbanization rate reaching 40.23%, and the urbanization rate is negatively correlated with sediment load and cultivated land area (p < 0.01), while the cultivated land area is positively correlated with sediment load (p < 0.01). The decrease of cultivated land area makes the sediment load gradually decrease. Therefore, socio-economic factors promote the sustainable development of the river basin.


Author(s):  
Riski Ika Aksari ◽  
Sitti Aida Adha Taridala ◽  
Musadar Mappasomba

This study analyzes socio-economic factors based on age, education, farming experience, labor, and land area on lowland rice farmers' decision-making using Tabela (direct seed planting) with and without tools in Ujung Tanah Village, Mare Sub-District of Bone District. South Sulawesi. This research was conducted in January-December 2020. This research was conducted in Ujung Tanah Village, Mare Sub-District, Bone District. The population in this study were all lowland rice farmers in Ujung Tanah Village, as many as 347 farmers. Determination of the number of samples was carried out in 2 ways, namely the census method for Tabela tool farmers by taking the total population of 15 farmers and for Tabela farmers without tools by taking 10% members of 10 farmer groups with 332 population numbers, determining the sample using the cluster proportional random sampling technique. With 33 farmers, the total of the samples in this study were 48 people. The data method is logistic regression analysis. The results of this study are that the socio-economic factors that influence the decisions of lowland rice farmers in the use of direct seed planting technology (Table Toola), namely the farming experience variable and the land area variable have a negative effect. In contrast, the labor variable has a positive impact.


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