American Journal of Economics
p-ISSN: 2166-4951 e-ISSN: 2166-496X
2016; 6(3): 147-157
doi:10.5923/j.economics.20160603.01

Hendra Saragih1, Pudjihardjo2, Ghozalie Maskie2, Khusnul Ashar2
1Doctoral Program of Economics Science, Faculty of Economics and Business, University of Brawijaya, Indonesia
2Faculty of Economics and Business, University of Brawijaya, Indonesia
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Riau provincial government policies oriented to improving the welfare of oil palm growers should be based on factors that affect the condition of the plantation area. Factors that cause the welfare of smallholders may be characteristic of the region, social values contained in communities, households, and individuals (World Bank, 2002). Besides that policies adopted by governments can be precisely targeted, local governments are expected to able to see palm farmer welfare problems in terms of areal. This study aimed to describe the characteristics of the region and the influence of social capital on the welfare of farmers, especially in oil palm. The method used consisted of Analysis of Structural Equation Models (SEM) to explain the influence of regional characteristics and social capital in the welfare of smallholders in Libo Jaya in subdistrict Kandis.The final results of this study explains that the variable character of the area plantations significantly affect the welfare of smallholders in Libob Jaya subdistrict Kandis. Variables that affect the character of the area plantations of oil palm farmers' welfare, ie, fixed income, jobs, damage to the environment, market access, the land held and the number of family members. The results of the analysis of the linkages between capital with well-being, namely: (1). the coefficient of direct influence Variable norm (X1) to Variable welfare (Y1) of 0.408 and is positive and significant shows that the shape of the influence of variable norm of the variable being is directly proportional (positive) and significant, which means that the increase factor variable norms will impact significantly to improving the welfare of variable factors, (2). the coefficient of direct influence Variable network (X2) on the variable being (Y1) of 0.638 and is positive and significant shows that the form of influencing variables for networks with variable prosperity is directly proportional (positive) and significant, which means that the increase factor variable network will have a significant impact variable factors to increased welfare and (3). the coefficient of direct influence Variable trust (X3) on Variable welfare (Y1) of 0.621 and is positive and significant shows that the form of influencing variables of confidence in the Variable prosperity is directly proportional (positive) and significant, which means that the increase factor variable trust will have a significant impact to improving the welfare of variable factors.
Keywords: Regional characteristics, Social Capital and Welfare Oil Palm Smallholders
Cite this paper: Hendra Saragih, Pudjihardjo, Ghozalie Maskie, Khusnul Ashar, Analysis of Region Characteristics and Social Capital to Welfare of Palm Farmers in the Siak District (Studies in Libo Jaya Subdistrict Kandis), American Journal of Economics, Vol. 6 No. 3, 2016, pp. 147-157. doi: 10.5923/j.economics.20160603.01.
Further confidence-dimensional measurement model is as follows:
![]() | Figure 1. Line Diagram Structural Equation Modeling (SEM) |
![]() | Figure 2. Research Location Map |
Compilation of dimensional measurement model norms, beliefs and became the model of network measurement of social capital variables with the end result as follows:
Based on the above measurement model known that the loading indicator Z1 (norms) for 0.979. This means that the diversity of social capital variables able to be explained by the indicators Z1 (norm) of 97.9%. In other words, the contribution Z1 (norm) in measuring social capital variables amounted to 97.9% .Then loading indicator value Z2 (confidence) of 0.941. This means that the diversity of social capital variables able to be explained by the Z2 indicator (trust) amounted to 94.1%. In other words, the contribution Z2 (trust) in measuring social capital variables amounted to 94.1%. Furthermore, the value of the loading indicator Z3 (network) of 0.846. This means that the diversity of social capital variables able to be explained by the indicator Z3 (network) amounted to 84.6%. In other words, the contribution Z3 (network) variables in measuring social capital by 84.6%. Model measurement of social capital variables also informed that the indicators Z1 (norm) has the greatest value loading. This means indicators Z1 (norm) is an indicator of the most dominant in measuring social capital.b. Contributions Indicators Verifiers Welfare Capital VariableAs for the well-being of variable measurement model is as follows:
Based on the above measurement model known that the loading indicator Y1 (production of palm oil can be sufficient for the basic needs of a family) of 0802. This means diversity welfare variables able to be explained by the indicator Y1 (production of palm oil can be sufficient for the basic needs of the family) amounted to 80.2%. In other words, the contribution of Y1 (production of palm oil can be sufficient for the basic needs of the family) in measuring the well-being of 80.2% variable. Then the loading indicator Y2 (palm oil production could be sufficient to send children to the high school level and Higher Education) of 0703. This means that the diversity of variables able to be explained by the well-being indicators Y2 (palm oil production could be sufficient to send children to the high school level and Higher Education) amounted to 70.3%. In other words, the contribution Y2 (palm oil production could be sufficient to send children to the high school level and Higher Education) in measuring the well-being of 70.3% variable.Furthermore, the value of the loading indicator Y3 (palm oil production could be sufficient to be able to buy motorcycle) by 0766. This means diversity welfare variables able to be explained by Y3 indicators (production of palm oil could be sufficient to be able to buy a motorcycle) of 76.6%. In other words, the contribution Y3 (palm oil production could be sufficient to be able to buy a motorcycle) in measuring the well-being of 78.9% variable. Then the loading indicator Y4 (production of palm oil could be sufficient to be able to enjoy family entertainment) of 0.717 This means diversity of variables well-being able to be explained by indicators Y4 (production of palm oil could be sufficient to be able to enjoy family entertainment) amounted to 71.7%. In other words, the contribution Y4 (palm oil production could be sufficient to be able to enjoy family entertainment) in measuring the well-being of 71.7% variable.Next loading indicator value Y5 (production of palm oil can be used sufficient to provide the facilities and infrastructure of palm oil production) of 0.798. This means diversity welfare variables able to be explained by Y5 indicators (production of palm oil can be used sufficient to provide the facilities and infrastructure of palm oil production) amounted to 79.8%. In other words, the contribution Y5 (production of palm oil can be used sufficient to provide the facilities and infrastructure of palm oil production) in measuring the well-being of 79.8% variable. Then the loading indicator Y6 (palm oil production could be sufficient to make the house livable oil palm farmers and healthy) of 0.781. This means diversity welfare variables able to be explained by Y6 indicators (production of palm oil could be sufficient to make the house livable oil palm farmers and healthy) amounted to 78.1%. In other words, the contribution Y6 (palm oil production could be sufficient to make the house livable oil palm farmers and healthy) in measuring the well-being of 78.1% variable.Furthermore, the value of the loading indicator Y7 (palm oil production could be sufficient to save) by 0.512. This means diversity welfare variables able to be explained by the indicator Y7 (palm oil production could be sufficient to save) amounted to 51.2%. In other words, the contribution Y7 (palm oil production could be sufficient to save) in measuring the well-being of 51.2% variable.Variable measurement model welfare also informed that the indicator Y1 (production of palm oil can be sufficient for the basic needs of the family) has the greatest value loading. This means that the indicator Y1 (production of palm oil can be sufficient for the basic needs of the family) is an indicator of the most dominant variable in measuring wellbeing.c. Evaluation of Structural ModelThe results of the feasibility testing construct that has been summarized in the following table.
Based on the summary of the goodness of fit, it is known that the six index are chi-square, RMSEA, GFI, AGFI, TLI and CFI have criteria that correspond to cut off its value, so that the six indices have been met. Thus constructs that have been formed otherwise appropriate (feasible).d. Hypothesis testingHypothesis testing is intended to test whether there is a direct effect of exogenous variables on endogenous variables. Significance testing can be known through a probability value. Testing criteria mentioned that if the probability (level of significance (alpha (α = 5%)) then declared there is significant influence exogenous variables on endogenous variables. The results of analysis can be seen through the summary in the following table,
e. Conversion Charts Path to the Structural ModelConversion into the path diagram measurement model is intended to determine how the effects of exogenous variables on endogenous variables. The resulting structural models are as follows:
From equation 1 and the above image can be informed that:1. Coefficient direct effect on the welfare of area characteristics of 0.035 states that the characteristics of the region and a significant positive effect on well-being. This means that the stronger the regional characteristics tend to improve well-being. Although the characteristics of the region to enhance the welfare, but the increase was not significant.2. Direct coefficient effect of social capital on the welfare of 0.924 states that social capital and significant positive effect on well-being. This means that the higher the social capital tend to improve well-being.
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