During the COVID-19 pandemic, all regions in Indonesia have had negative economic growth. It also increased the poverty rate in the country. The government must allocate pro-growth and poverty reduction programs to maintain economic growth and simultaneously reduce poverty. This study aims to measure the relative efficiency of pro-growth poverty reduction spending of local governments in seven regions in Indonesia. This study compares the efficiency scores before and during the COVID-19 pandemic from 2015 to 2019 and 2020. The inputs are five types of government spending: education, health, economic, social protection, and infrastructure. The outputs are economic growth and poverty reduction. Data envelopment analysis with an output-oriented model and a return to scale variable approach is applied. The results show that the highest average local government efficiency score was in Kalimantan, with the lowest being in Sulawesi. The efficiency scores of local governments in the COVID-19 pandemic differ between regions: it remained stable in Kalimantan, increased in Java-Bali, Sumatra, and Sulawesi, and experienced a decline in Nusa Tenggara, Maluku, and Papua. The study concludes that economic growth and poverty reduction can simultaneously measure government efficiency. To be relatively efficient, local governments need to consider allocating pro-growth poverty reduction spending to improve the conditions of both outputs.
This study aims to analyze the effect of agricultural workers, education level, female workers and the role of government policies on poverty rate in Sumatra. Observations were made in 151 districts/cities in Sumatra during the period 2013-2015 and 2017-2018. The approach used is a panel data regression model. The method applied is random effect. The findings show the labor in the agricultural sector has a significant and positive effect on the poverty rate in Sumatra, while the level of education and government spending has a significant and negative effect on the poverty rate. The policy implication is that it is necessary to increase labor productivity in the agricultural sector and other industries that are more efficient. The government also needs to strengthen the agricultural sub-sector in order to have better value-added products. Optimizing and improving basic services such as education, health, economic and social.
The objective of the research is to analyze the effect of government expenditure, economic growth and previous poverty rate on the current poverty rate in Java and Sumatra. The data set was 267 local governments in year 2017. The method used in this research was multiple regression. Results show that government expenditure and economic growth affect significantly positively the poverty rate. While the previous poverty rate has negative effect on the current poverty rate. Local governments in Java and Sumatra should make appropriate programmes and activities and allocate optimally their expenditures to build the new SMEs and improve the existing SMEs abilities in order to reduce the poverty rate. Keywords : A Previous Poverty Rate 1, Economic Growth 2, Government Expenditure 3, Poverty Rate 4
The objectives of this research are to analyze the influence of the number of population, the number of unemployment and Human Development Index (HDI) to poverty level in Bengkulu Province Indonesia. The types and sources of data used in this study was secondary data. The method of analysis used the data panel analysis as a data processing tool by using Eviews program. With the Common effect approach, Fixed Effect Model Approach, and Random Effect Model Approach. Based on the result of data analysis, the result of the research show that the regression analysis of panel data yields the conclusion that equation with the right fixed effect model used.The calculation of panel analysis is obtained from the equation of fixed effect model as follows: Y = 1.584864 - 5,206005 X1 + 0,282030 X2 + 0.000173 X3. Based on the F test the probability F value obtained is 0.0000 (smaller than α = 0.05). Thus we can reject H0 and draw the conclusion that the number of population, the number of unemployment and HDI variables simultaneously or together significantly influence poverty level in Bengkulu district/ city. Partially the number of population (X1), and the number of unemployment (X2) have significant influence to poverty level (Y) whereas HDI (X3) has insignificant influence on poverty level (Y) in District / City of Bengkulu significant (α = 0 , 05) with value R2 equal to 0,991.
A way to restore the fertility of rice fields is through improving soil structure and microbes by using organic fertilizer derived from livestock waste. Therefore it is necessary to implement an Integrated Farming System (IFS) particularly rice and cattle. The study aimed to analyze the determinants of farmers’ decisions in adopting IFS of rice in Bengkulu Province, Indonesia. This research applied a survey method, which was conducted in Seluma and Rejang Lebong Regencies, Bengkulu Province, Indonesia. The data included primary and secondary and analyzed with the use of Multinomial Logistic Regression. The results indicated that simultaneously all the predictor variables had a significant effect on the response variable, while the income, land area, number of cattle and farmers’ perceptions had a very significant effect on the adoption of the integration system while the variable costs of production, farming experience and labor did not have a significant effect on the decision to adopt a rice and cattle integration system.
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