scholarly journals The Impact of Socio-Economic Factors on Sediment Load: A Case Study of the Yanhe River Watershed

2020 ◽  
Vol 12 (6) ◽  
pp. 2457 ◽  
Author(s):  
Xue Zhong ◽  
Xiaohui Jiang ◽  
Leilei Li ◽  
Jing Xu ◽  
Huanyu Xu
Keyword(s):  
Sediment Load ◽  
Economic Factors ◽  
Cultivated Land ◽  
Land Area ◽  
The Sustainable Development ◽  
River Watershed ◽  
Grain For Green ◽  
Grain For Green Project ◽  
Urbanization Rate ◽  
Socio Economic Factors

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.

scholarly journals Socio-economic factors and child health status in Ghana

2017 ◽  
Vol 5 (2) ◽  
pp. 100 ◽  
Author(s):  
Mustapha Immurana ◽  
Arabi Urmi
Keyword(s):  
Health Status ◽  
Child Health ◽  
Urban Areas ◽  
Probit Model ◽  
Economic Factors ◽  
The Sustainable Development ◽  
Economic Determinants ◽  
Central Regions ◽  
Child Health Status ◽  
Socio Economic Factors

Ghana’s under-five mortality rate far exceeds the Sustainable Development Goal (SDG) 3.2 Target of 25 deaths per thousand live births by 2030. Therefore to improve upon the situation, it is imperative that the factors which determine the health status of children are investigated. This study therefore used data from the 2014 Ghana Demographic and Health Survey to investigate the socio-economic determinants of child health status in Ghana by employing the binary probit model. The study revealed that, Ewe, Grusi, Muslim and Christian children, children from urban areas, Greater Accra, Northern, Ashanti, Upper east, Eastern and Central regions, were more probable to contract cough. Also children with uneducated mothers, those whose mothers had uneducated partners as well as those whose mothers had no health insurance were revealed to be more likely to be anaemic. Further, male children and children from non-wealthy households were revealed to be more likely to have suffered diarrhoea, fever and anaemia. Also children with employed mothers and those with mothers with big distance challenges to seek care were found to be more likely to have fever. These findings, point out the essence of socio-economic factors to child health outcomes and hence the need to be given attention in child health survival interventions in Ghana.

Impact of Socio-economic Factors on Synoptic Assessment for Prioritizing BMP Implementation to Reduce Sediment Load

2011 ◽  
Author(s):  
Taeil Jang ◽  
George Vellidis ◽  
Jeffrey B Hyman ◽  
Erin Brook ◽  
Luba A Kurkalova
Keyword(s):  
Sediment Load ◽  
Economic Factors ◽  
Synoptic Assessment ◽  
Socio Economic Factors

DINAMIKA KELOMPOK TANI DI DESA NUNKURUS KECAMATAN KUPANG TIMUR KABUPATEN KUPANG

2020 ◽  
Vol 21 (1) ◽  
pp. 42-49
Author(s):  
Erni Dida ◽  
Made Tusan Surayasa ◽  
Serman Nikolaus
Keyword(s):  
Statistical Tests ◽  
Secondary Data ◽  
Socioeconomic Factor ◽  
Primary Data ◽  
Economic Factors ◽  
Land Area ◽  
Farmer Groups ◽  
Nonparametric Statistical ◽  
The Relationship ◽  
Socio Economic Factors

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.

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
Keyword(s):  
Agricultural Development ◽  
Statistical Tests ◽  
Economic Systems ◽  
Economic Factors ◽  
Questionnaire Data ◽  
Land Area ◽  
Real Effect ◽  
Good Score ◽  
North Sumatra ◽  
Socio Economic Factors

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).

scholarly journals Response of Land Use Change to the Grain for Green Program and Its Driving Forces in the Loess Hilly-Gully Region

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 194
Author(s):  
Xiao Zhang ◽  
Yuanjie Deng ◽  
Mengyang Hou ◽  
Shunbo Yao
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Population Density ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Driving Forces ◽  
Cultivated Land ◽  
Forest Land ◽  
Land Area ◽  
Grain For Green

Implementation of the Grain for Green program (GGP) intensifies land use/cover change (LUCC) in the loess hilly-gully region. Clarifying the response of LUCC to the GGP and its driving forces are basic premises to implement the GGP more effectively for alleviating soil erosion in this region. This study analyzed the spatio-temporal characteristics of conversion of cultivated land to forest land and grassland in two study periods of 2000–2010 and 2010–2018. The transition matrix model and the dynamic degree model were utilized to explore changes among cultivated land, forest land, and grassland based on the remote sensing (RS) and monitoring data of land use in 2000, 2010, and 2018. Secondly, further detection on driving forces of increase of forest land and grassland was conducted through the logistic regression model. Fourteen driving factors were selected: the GGP, elevation, slope, population density, GDP per land area, distance to city, distance to residential area, etc. The results revealed that: (1) Area of cultivated land was mainly transferred to forest land and grassland during two study periods. The conversion of cultivated land to forest land and grassland occupied 21.48% and 68.01% of outward-transferring area of cultivated land from 2000 to 2010, and accounted for 13.26% and 74.3% from 2010 to 2018; (2) From the results of the logistic regression model, elevation, the GGP, annual mean temperature, slope III (6–15°), and GDP per land area were the main driving forces from 2000 to 2010. Moreover, the most prominent driving forces were the GGP, elevation, rural population density, slope III (6–15°), and soil pH from 2010 to 2018. The findings of this study can help us better understand the conversion of cultivated land to forest land and grassland under the GGP and provide a scientific basis to facilitate sustainable development of land resources in the study area.

scholarly journals Socio-Economic Factors Affecting Rice Farmers' Decisions Using Direct Seed Planting Technology (Tabela) and Without Tools in Ujung Tanah Village, Mare Sub-District, Bone District, South Sulawesi

2021 ◽  
Vol 6 (3) ◽  
pp. 77
Author(s):  
Riski Ika Aksari ◽  
Sitti Aida Adha Taridala ◽  
Musadar Mappasomba
Keyword(s):  
Positive Impact ◽  
Sampling Technique ◽  
Lowland Rice ◽  
Economic Factors ◽  
Land Area ◽  
Factors Affecting ◽  
Rice Farmers ◽  
South Sulawesi ◽  
Negative Effect ◽  
Socio Economic Factors

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.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

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