Analysis of Factors Influencing Rice Production in Labuhan Batu District

Q4 Social Sciences
T. S. Elvina, Akbar A. Siregar, R. Ginting
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引用次数: 0

Abstract

This study aims to analyze the factors that influence rice production in Labuhan Batu District. The research was conducted in Labuhanbatu Regency, North Sumatra Province. The determination of the research area was carried out purposively (deliberately) with the consideration that the area of Labuhanbatu Regency was because according to BPS data for 2021, there was a deficit in dry milled rice production and corn production in Labuhanbatu which was not proportional to the population growth. The population in this study were all sub-districts that existed in Labuhanbatu Regency, which totaled 9 sub-districts the method used in sampling was a census, and the selection of samples was taken from 9 sub-districts in Labuhan Batu District. Data analysis in this study used Multiple Regression Analysis (multiple regression) through the Cobb-Dougla function, while the results of this study were that in the study the variable area of land had an effect on rice production because t count > t table (6,184 > 2,010) and a significant level 0.000 < 0.05. In the research, the agricultural sector variable has an effect on rice production because of t-count > t table (3,398 > 2,010) and a significant level of 0.002 <0.05. In the research, the variable fertilizer has an effect on rice production because t-count > t table (5.075 <2.010) and a significant level of 0.000 <0.05. In this study, the seed variable has an effect on rice production because of t-count > t-table (4,341 < 2,010) and a significant level of 0.000 < 0.05. The form of a linear regression model of the Cobb-Douglas production function for the study of factors influencing rice production. Shows the results of (bx1+bx2+bx3+bx4) = 4,761 meaning that in this study the area of land, the contribution of the agricultural sector, the use of fertilizers, and the use of seeds can be projected to see the amount of rice production in harbor stone of 47.61%.
拉布汗巴图地区水稻生产影响因素分析
本研究旨在分析影响拉布汗巴图地区稻米生产的因素。这项研究是在北苏门答腊省的Labuhanbatu县进行的。研究区域的确定是有目的的,考虑到Labuhanbatu Regency的区域是因为根据BPS的数据,2021年Labuhanbatu的干米生产和玉米生产出现赤字,这与人口增长不成比例。本研究人口为拉布汉巴图县现有的全部街道,共9个街道,抽样方法为人口普查,样本选取自拉布汉巴图县的9个街道。本研究的数据分析采用Cobb-Dougla函数进行多元回归分析(Multiple Regression analysis, Multiple Regression),研究结果表明,在本研究中,可变土地面积对水稻产量的影响在表中为6184 > 2010,显著水平为0.000 < 0.05。在本研究中,农业部门变量对水稻产量的影响主要表现为t-count(3,398 > 2010)和显著水平(0.002 t表(5.075 t表(4,341 < 2010))和显著水平(0.000 < 0.05)。以柯布-道格拉斯生产函数的线性回归模型的形式,研究影响水稻生产的因素。由(bx1+bx2+bx3+bx4) = 4,761的结果可知,在本研究中,土地面积、农业部门的贡献、肥料的使用、种子的使用可以推算出港石水稻产量为47.61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Social Research and Policy
Journal of Social Research and Policy Social Sciences-Sociology and Political Science
CiteScore
0.30
自引率
0.00%
发文量
0
审稿时长
8 weeks
期刊介绍: Welfare states have made well-being one of the main focuses of public policies. Social policies entail, however, complicated, and sometimes almost insurmountable, issues of prioritization, measurement, problem evaluation or strategic and technical decision making concerning aim-setting or finding the most adequate means to ends. Given the pressures to effectiveness it is no wonder that the last several decades have witnessed the imposition of research-based social policies as standard as well as the development of policy-oriented research methodologies. Legitimate social policies are, in this context, more and more dependent on the accurate use of diagnostic methods, of sophisticated program evaluation approaches, of benchmarking and so on. Inspired by this acute interest, our journal aims to host primarily articles based on policy research and methodological approaches of policy topics. Our journal is open to sociologically informed contributions from anthropologists, psychologists, statisticians, economists, historians and political scientists. General theoretical papers are also welcomed if do not deviate from the interests stated above. The editors also welcome reviews of books that are relevant to the topics covered in the journal.
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