Mohamad Fahmi
Departemen Ilmu Ekonomi Universitas Padjadjaran

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

Factors to Improve Fishery Household Welfare: Empirical Analysis of Indonesia Bayu Rhamadani Wicaksono; Mohamad Fahmi
Economics and Finance in Indonesia Volume 67, Number 1, June 2021
Publisher : Institute for Economic and Social Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.458 KB) | DOI: 10.47291/efi.v67i1.874

Abstract

This study attempts to verify the linkage between the characteristics of fishers and the welfare of fishery  household in Indonesia, which is explained by the surplus obtained by fishers. Based on the empirical results using multiple linear regression analysis, variables with significant impacts on improving the welfare of fishery household in Indonesia in both marine and inland open water fisheries are fishing gear, number of fishers, number of crew, salary, province, age, gender, education level, processed storage, transportation, and market target. Furthermore, the characteristics of fishers are divided into similarities and differences. Observed from the similarities, the main fishers play a prominent role to fulfill the daily needs of their families. Observed from the differences, fishers in marine fisheries prefer to use a boat with an inboard motor, prepare more funds, and require more crew members because they usually catch fish on long trips. On the other hand, fishers in inland open water fisheries prefer to use a boat without an inboard motor, prepare less funds, and require less crew members because they usually catch fish on short trips. The government needs to formulate effective, efficient, and targeted policies for the welfare of fishers. The findings suggest several policy recommendations related to the improvement of fishery household welfare in Indonesia, such as soft loan in the form of People’s Business Credit (KUR), storage facilities for a better supply chain, and revitalization of fish auction sites.
Pendidikan, Human Capital ataukah Signaling? Studi Kasus Indonesia Fahmi, Mohamad; Mulyono, Yeni Oktavia
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 15, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to test whether the behavior of Indonesian people in determining education is the manifestation of human capital theory or signaling theory. Using the ordinary least square (OLS) model and the Indonesian Family Life Survey (IFLS) 2007 data, we find that both theories mutually have effect to influence the behavior of Indonesian people to determine their education.
Analisis Karakteristik Anak Tidak Bersekolah di Indonesia Fahmi, Mohamad; Marizka, Demy
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 14, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research identified and analyzed school participation of children in Indonesia from 7 to 15 years old. Using data collected by Survey Sosial Ekonomi Nasional (SUSENAS) in 2012, probit model estimates that there are more probabilities in boys rather that girls to leave their education. As well as living environment supported, citizen have more well educated children than villagers. Elementary schools had been highly needed to fulfil school supply so that out-of-school-children level will drop as low as possible. But an increase in junior high school supplied will not turned out as it applied on elementary schools.
Indonesian Provinces SDGs Composite Index: Lampung Province Analysis Andriati, Reny; Fahmi, Mohamad
Economics and Finance in Indonesia Vol. 67, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Publications of Sustainable Development Goals (SDGs) have mainly been conducted at a national level and separately for each goal. No prior research has been done on SDGs composite index at a provincial level in Indonesia. It is necessary to create a composite index that presents a single value at the provincial level to enable regional evaluation. The Indonesia Province SDGs composite index is developed from indicators based on Statistics Indonesia gathered from several publications. The data sources are the National Socio-Economic Survey (Susenas) and the Basic Health Research (Riskesdas) which were linked surveys held in 2018. Principal Component Analysis and Factor Analysis are used as the methods to select the indicators of the SDGs. Those selected indicators are then normalized using the min-max method and subsequently weighted using factor loading derived from the principal component analysis. Finally, the indicators are aggregated using an arithmetic mean to determine the composite index. The Indonesia Province SDGs composite index is an approach to measure achievement of SDGs agenda. In addition, each goal achievement is summarized as a goal index. The SDGs composite index for Lampung Province is 52.2%, meaning that Lampung Province is 52.2% of the way to fully achieving the SDGs, according to the measures used to calculate this index. The findings on goal index suggest that development is highly requested on public services such as housing and water supply.