Efficient: Indonesian Journal of Development Economics
Efficient Journal is a scientific journal published by Department of Economics Development, Faculty of Economics, Universitas Negeri Semarang Indonesia. this journal published three times per year on January, June, and October and start publishing since 2018. Efficient Journal is a journal base on the economics and development studies. This journal publishes a research paper related to specific themes such as macro economics, small and medium enterprises, public policy, monetary economics, development studies, international economics, trade economics, agriculture economics, tourism, regional and finance economy, and related studies within economics and development. The scope of the reseach is local, regional and international perspective. Efficient journal accepting a research who conduct in a local locus research (case study), national locus research, regional locus research and international locus research, the purpose of this journal is making a global research. This journal welcoming a foreign research who want to publish their articles.
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<![CDATA[Determinants of MSMEs Access to WIBAWA Credit ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.47498
<![CDATA[Capital need is a challenge experienced by MSME. Semarang city government provides an innovation of capital access assistance to MSMEs with Revolving Fund Loan Program, namely WIBAWA Credit. MSMEs status is feasible and not bankable, due to non-fulfillment of 5C principle. This study credit determinant analysis aims to develop a study of granting WIBAWA credit patterns. Secondary research data were obtained from Dinkop & UMKM Kota Semarang and PERUMDA BPR Bank Pasar Kota Semarang by taking a sample of 600 WIBAWA Credit application data for 2017-2019. Binary Logistic Regression analysis results through IBM SPSS Statistics 22 software show that there are differences in gender of business owners, business size, and business age in decision to grant WIBAWA credit, while credit history variable has no effect. Dinkop & MSMEs Kota Semarang need to improve creditworthiness of female business owners, micro-Enterprises, and start-up/new early businesses so that they have more opportunities to qualify for credit financing. MSMEs that re-apply for WIBAWA Credit can also be given a faster assessment process period and larger disbursement ceiling, but still, pay attention to credit repayment factor by debtor. Kebutuhan modal menjadi tantangan yang dialami pemilik UMKM. Pemerintah Kota Semarang memberikan bantuan akses modal kepada UMKM dengan Program Pinjaman Dana Bergulir yaitu Kredit WIBAWA. Penelitian ini bertujuan untuk mengembangkan kajian terhadap pola pemberian Kredit WIBAWA. Data penelitian sekunder diperoleh dari Dinkop & UMKM Kota Semarang dan PERUMDA BPR Bank Pasar Kota Semarang dengan mengambil sampel 600 data pengajuan Kredit WIBAWA periode tahun 2017-2019. Hasil analisis Binary Logistic Regression melalui software IBM SPSS Statistics 22 menunjukkan bahwa terdapat perbedaan jenis kelamin pemilik usaha, ukuran usaha dan umur usaha dalam keputusan pemberian Kredit WIBAWA, sementara variabel riwayat kredit tidak memberikan pengaruh.]]>
<![CDATA[Determinant of HDI in Yogyakarta Special Region Province ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.47578
<![CDATA[Yogyakarta Special Region (DIY) occupies the second position of high categorical HDI in Indonesia. The UMP, which is the benchmark for the number of wages given to workers, has the lowest amount in Indonesia. Several other factors that were thought to have influenced the high in HDI were inflation, GRDP, and LFPR. This study aims to determine and analyze the factors that influence HDI in DIY. The type of data used in this study is secondary data. The data used are sourced from BPS, Indonesian Statistics Report, Yogyakarta Labour Affair Office and GlobalDataLab. The research method used is multiple regression analysis time series for the period 1990-2019 DIY. The variables used in this study are HDI, Inflation, GRDP, UMP, and LFPR. The results showed that inflation has a negative and not significant effect on HDI. GDRP, UM,P and LFPR have a positive and significant effect on HDI. Daerah Istimewa Yogyakarta (DIY) menempati posisi IPM tinggi kedua di Indonesia. UMP yang menjadi tolak ukur besarnya upah yang diberikan kepada pekerja memiliki besaran paling rendah di Indonesia. Beberapa faktor lain yang diduga mempengaruhi tingginya IPM adalah inflasi, PDRB dan TPAK. Penelitian ini bertujuan untuk mengetahui dan menganalisis faktor-faktor yang mempengaruhi IPM di DIY. Jenis data yang digunakan bersumber dari BPS, Laporan Statistik Indonesia, Dinas Tenaga Kerja DIY dan GlobalDataLab. Metode penelitian yang digunakan adalah analisis regresi berganda time series periode 1990-2019 DIY. Variabel yang digunakan dalam penelitian ini adalah IPM, Inflasi, PDRB< UMP dan TPAK. Hasil penelitian menunjukkan bahwa inflasi berpengaruh negatif dan tidak signifikan terhadap IPM. PDRB, UMP dan TPAK berpengaruh positif dan signifikan terhadap IPM.]]>
<![CDATA[The Effect of Economic Factors on Property Crime Rates ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.51036
<![CDATA[This research is motivated because the number of property crimes on the island of Sumatera is the highest in Indonesia during the 2014-2019 period. This study aims to examine the economic factors that influence property crime on the island of Sumatera. The type of data used is secondary data. The type of data used is panel data which is a combination of cross-section data from 10 provinces on the island of Sumatera and time series data for 2014-2019. The analytical method used is panel data regression analysis. The best model chosen is the Fixed Effect Model (FEM). The results of this study indicate that GRDP growth and unemployment have no significant effect, while poverty, income inequality, and per capita expenditure have a significant positive effect on property crime. The value of R2 is 0.9521, meaning that the independent variable can explain the dependent variable by 95.21%. Penelitian ini dilatarbelakangi karena jumlah kejahatan harta benda di Pulau Sumatera terbanyak di Indonesia selama periode 2014-2019. Penelitian ini bertujuan untuk meneliti faktor-faktor ekonomi yang mempengaruhi kejahatan harta benda di Pulau Sumatera. Jenis data yang digunakan adalah data sekunder. Tipe data yang digunakan adalah data panel yang merupakan kombinasi data cross section 10 Provinsi di Pulau Sumatera dan data time series tahun 2014-2019. Metode analisis yang digunakan adalah analisis regresi data panel. Model terbaik yang terpilih adalah Fixed Effect Model (FEM). Hasil penelitian ini menunjukkan bahwa Pertumbuhan PDRB dan pengangguran tidak berpengaruh signifikan, sedangkan kemiskinan, ketimpangan pendapatan dan pengeluaran per kapita berpengaruh positif signifikan terhadap kejahatan harta benda. Nilai R2 sebesar 0,9521, artinya variabel independen dapat menjelaskan variabel dependen sebesar 95,21%.]]>
<![CDATA[The Influence of the Tourism Sector and GRDP on Poverty ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.51092
<![CDATA[The purpose of this study was to analyze the influence of the tourism sector and GRDP on poverty in Central Java. This type of research is quantitative research, the data used in this study is secondary data obtained by the method of collecting library data from relevant agencies such as the Central Java Provincial Statistics Agency and the Youth, Sports, and Tourism Office of Central Java Province. The analytical tool used is panel data regression which combines time-series data (2015-2019) and cross-section (35 districts/cities in Central Java) with the best method, namely the Fixed Effect Model (FEM). The results of the analysis show that the variable number of tourists has a probability of 0.4497, the variable number of hotels has a probability of 0.0000 and the GRDP variable has a probability of 0.0000 against the percentage of the number of poor people. Based on the results of the study, it was concluded that the variable number of tourists had no effect on the variable percentage of the poor population and the variable number of hotels and GRDP had a negative effect on the percentage of the number of poor people. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh sektor pariwisata dan PDRB terhadap kemiskinan di Jawa Tengah. Jenis penelitian ini adalah penelitian kuantitatif, data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dengan metode pengumpulan data kepustakaan dari instansi terkait seperti Badan Pusat Statistik Provinsi Jawa Tengah dan Dinas Pemuda, Olahraga, dan Pariwisata Provinsi Jawa Tengah. Alat analisis yang digunakan adalah regresi data panel yang menggabungkan data time-series (2015-2019) dan cross section (35 kabupaten/kota di Jawa Tengah) dengan metode terbaik yaitu Fixed Effect Model (FEM). Hasil analisis menunjukkan bahwa variabel jumlah wisatawan memiliki probabilitas 0,4497, variabel jumlah hotel memiliki probabilitas 0,0000 dan variabel PDRB memiliki probabilitas 0,0000 terhadap persentase jumlah penduduk miskin. Berdasarkan hasil penelitian disimpulkan bahwa variabel jumlah wisatawan tidak berpengaruh terhadap variabel persentase penduduk miskin dan variabel jumlah hotel dan PDRB berpengaruh negatif terhadap persentase jumlah penduduk miskin.]]>
<![CDATA[Determinants of Employment Level in Java Island Primary Sector ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.51265
<![CDATA[This study aims to analyze the factors that affect the level of employment in the primary sector in Java in 2015-2019. The variables used are the level of employment opportunities, the level of the provincial minimum wage, foreign investment, domestic investment, and the average length of schooling. The method used in this study is panel data regression analysis using Eviews 9 software. This study uses a combination of cross section data from six provinces in Java and time series data for 2015-2019. The results show that the appropriate panel data regression estimation model is the Fixed Effect Model (FEM) with an R2 value of 0.932927. The WAGE Level (X1) and Average Length of School (X4) variables have a negative and significant effect on Employment Opportunity Rate. While the FI (X2) and DI (X3) variables have a positive and significant effect on Employment Opportunity Rate. Penelitian ini bertujuan untuk menganalisis faktor- faktor yang mempengaruhi Tingkat Kesempatan Kerja pada sektor primer di Pulau Jawa pada tahun 2015-2019. Variabel yang digunakan yaitu Tingkat Kesempatan Kerja, tingkat Upah Minimum Provinsi, Penanaman Modal Asing, Penanaman Modal Dalam Negeri, dan rata-rata lama sekolah. Metode yang digunakan dalam penelitian adalah analisis regresi data panel menggunakan software Eviews 9. Penelitian ini menggunakan gabungan data cross section enam provinsi yang ada di Pulau Jawa dan data time series tahun 2015-2019. Hasil penelitian menunjukkan bahwa model estimasi regresi data panel yang sesuai adalah Fixed Effect Model (FEM) dengan nilai R2 sebesar 0,932927. Variabel Tingkat WAGE (X1) dan Rata-rata Lama sekolah (X4) berpengaruh negatif dan signifikan terhadap Tingkat Kesempatan Kerja. Sedangkan variabel FI (X2) dan DI (X3) berpengaruh positif dan signifikan terhadap Tingkat Kesempatan Kerja.]]>
<![CDATA[Glapan Weir Irrigation System Optimization Strategy to Increase Agricultural Yield ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.51979
<![CDATA[This study aims to identify the constraints and problems that exist in the irrigation system and to develop an optimization strategy for the Glapan Dam irrigation system in Gubung District, Grobogan Regency. This type of research uses descriptive quantitative. The data collection technique in this study used a questionnaire distributed to key persons who had been determined by purposive sampling. The analysis used is Analytical Hierarchy Process (AHP) then processed using Expert Choice software. The results show that the obstacles and problems that are still faced in the management of the irrigation system in Glapan Weir are the sedimentations of the Tuntang River which causes a reduction in water supply, and the lack of availability of tools such as pumps, sluice gates, and water flow measuring devices. The most prioritized criteria in the strategy of optimizing the irrigation system in Glapan Dam to increase agricultural yields is the money criterion with a weight value of 0.520 and the first priority alternative in the irrigation system optimization strategy to increase agricultural yields is an alternative government fund with a weighted value of 0.211. Penelitian ini bertujuan untuk mengidentifikasi kendala dan permasalahan yang ada pada sistem irigasi serta menyusun strategi optimasi sistem irigasi Bendung Glapan di Kecamatan Gubung, Kabupaten Grobogan. Jenis penelitian ini menggunakan deskriptif kuantitatif. Teknik pengumpulan data dalam penelitian ini menggunakan kuesioner yang dibagikan kepada key person yang telah ditentukan secara purposive sampling. Analisis yang digunakan adalah Analytical Hierarchy Process (AHP) kemudian diolah menggunakan software Expert Choice. Hasil penelitian menunjukkan bahwa kendala dan permasalahan yang masih dihadapi dalam pengelolaan sistem irigasi di Bendung Glapan adalah sedimentasi Sungai Tuntang yang menyebabkan berkurangnya pasokan air, dan kurangnya ketersediaan alat seperti mesin pompa, pintu air, dan alat pengukur debit air. Kriteria yang paling diprioritaskan dalam strategi optimalisasi sistem irigasi di Bendung Glapan untuk meningkatkan hasil pertanian adalah kriteria uang dengan nilai bobot 0,520 dan alternatif prioritas pertama dalam strategi optimalisasi sistem irigasi untuk peningkatan hasil pertanian adalah alternatif dana pemerintah dengan nilai bobot 0,211.]]>
<![CDATA[Poverty Alleviation Strategy Through Leading Sector ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.52540
<![CDATA[This study aims to identify the leading sector and poverty alleviation strategies in Kulon Progo Regency. The method used in this study is the Location Quotient (LQ) analysis method, Shift Share analysis, and SWOT analysis. The results showed that the leading sectors in Kulon Progo Regency consisted of the mining and quarrying sector; water supply, waste management, waste and recycling sectors; construction sector; wholesale and retail trade sector; repair of cars and motorcycles; transportation and warehousing sector; government administration, defense, and mandatory social security sectors. The results of the SWOT analysis show that the strategy that can be implemented to reduce poverty through the leading sector in Kulon Progo Regency is by utilizing the S-O strategy which includes creating a people-based economy by optimizing the economic potential of the leading sector, utilizing the multiplier effect of the construction of Yogyakarta International Airport, implementing the spirit of self-defense. -Buy Kulon Progo and take advantage of the 84 waste banks in Kulon Progo Regency. Penelitian ini bertujuan untuk mengidentifikasi sektor unggulan, dan strategi pengentasan kemiskinan melalui sektor unggulan di Kabupaten Kulon Progo. Metode yang digunakan dalam penelitian ini yaitu metode analisis Location Quotient (LQ), analisis Shift Share dan analisis SWOT. Hasil penelitian menunjukkan bahwa sektor unggulan di Kabupaten Kulon Progo terdiri dari sektor pertambangan dan penggalian; sektor pengadaan air, pengelolaan sampah, limbah, dan daur ulang; sektor konstruksi; sektor perdagangan besar dan eceran; reparasi mobil dan sepeda motor; sektor trasportasi dan pergudangan; sektor administrasi pemerintahan, pertahanan, dan jaminan sosial wajib. Hasil analisis SWOT menunjukkan bahwa strategi yang dapat dilaksanakan dalam upaya pengentasan kemiskinan melalui sektor unggulan di Kabupaten Kulon Progo yaitu dengan memanfaatkan strategi S-O, meliputi menciptakan perekonomian berbasis kerakyatan dengan mengoptimalkan potensi ekonomi dari sektor unggulan, memanfaatkan multipier effect pembangunan Bandara Yogyakarta International, menginplementasikan semangat bela-beli Kulon Progo dan memanfaatkan 84 bank sampah yang ada di Kabupaten Kulon Progo.]]>
<![CDATA[Determinants of Economic Growth in the Selected ASEAN Countries ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.52895
<![CDATA[This study aims to analyze the effect of exports, imports, literacy rates, life expectancy at birth, and tourist visits on economic growth in 4 ASEAN countries from 2010-2019. This study uses panels data from four ASEAN Countries countries (Brunei Darussalam, Indonesia, Malaysia, and Singapore) from 2010 to 2019. The research method used is panel data regression analysis. The results showed that exports and tourist visits have negative and not significantly to economic growth, imports have positively and significantly to economic growth, and literacy rates and life expectancy have negative and significantly to economic growth. Penelitian ini bertujuan untuk menganalisis pengaruh dari ekspor, impor, angka melek huruf, angka harapan hidup saat lahir dan kunjungan turis terhadap pertumbuhan ekonomi di empat negara ASEAN. Penelitian ini menggunakan data panel di empat negara ASEAN (Brunei Darussalam, Indonesia, Malaysia, and Singapore) dari tahun 2010-2019. Metode penelitian yang digunakan adalah analisis regresi data panel. Hasil penelitian menunjukkan bahwa ekspor dan kunjungan wisatawan berpengaruh negatif dan tidak signifikan terhadap pertumbuhan ekonomi, impor berhubungan positif dan signifikan terhadap pertumbuhan ekonomi, angka melek huruf dan angka harapan hidup saat lahir berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi.]]>
<![CDATA[Deprivation of Multidimensional Poverty in Pekalongan City ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.53153
<![CDATA[Poverty is a challenge in development that needs to be solved by each region. However, the calculation of poverty is still oriented to a one-dimensional approach, namely the monetary approach, even though the problem of poverty is multidimensional. Multidimensional poverty includes various deprivations experienced by poor people in their daily lives. This study aims to determine the condition of poverty in a multidimensional manner and the main deprivation of poverty in Pekalongan City. This study uses data from the 2019-2021 National Socio-Economic Survey (Susenas) and the Alkire-Foster multidimensional poverty measurement method, as well as 12 indicators in 3 dimensions (education, health, and living standards). The results show that multidimensional poverty for 3 years in Pekalongan City is always higher than the poverty measurement carried out by BPS. This study also found the priority scale of poverty alleviation assistance needed in Pekalongan City based on its main deprivation, namely the assistance program to overcome the years of schooling in the education dimension, nutritional adequacy in the health dimension and asset ownership in the standard of living dimension. Kemiskinan merupakan tantangan pembangunan yang perlu diselesaikan oleh setiap daerah. Namun penghitungan kemiskinan sampai saat ini masih berorientasi pada pendekatan satu dimensi yaitu pendekatan moneter padahal permasalahan kemiskinan bersifat multidimensi. Kemiskinan multidimensi mencakup berbagai deprivasi (kekurangan) yang dialami oleh orang miskin dalam kehidupan sehari-hari mereka. Penelitian ini bertujuan untuk mengetahui kondisi kemiskinan secara multidimensi dan deprovasi utama kemiskinan di Kota Pekalongan. Penelitian ini menggunakan data hasil Survei Sosial Ekonomi Nasional (Susenas) tahun 2019-2021 dan metode pengukuran kemiskinan multidimensi Alkire-Foster, serta 12 indikator dalam 3 dimensi (pendidikan, kesehatan, dan standar hidup). Hasil menunjukkan bahwa kemiskinan multidimensi selama 3 tahun di Kota Pekalongan selalu lebih tinggi dibandingkan pengukuran kemiskinan yang dilakukan oleh BPS. Penelitian ini juga menemukan skala prioritas bantuan pengentasan kemiskinan yang dibutuhkan di Kota Pekalongan berdasarkan deprivasi utamanya, yakni progman bantuan untuk mengatasi lama sekolah dalam dimensi pendidkan, kecukupan gizi dalam dimensi kesehatan dan kepemilikan aset dalam dimensi standar hidup.]]>
<![CDATA[Forecasting the Inflation Rate in Central Java Using ARIMA Model ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 5 No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v5i2.54227
<![CDATA[One of the important aspects of the economy is the maintenance of prices in general. Indonesia's economy is still mostly focused on Java Island, one of which is Central Java. This study aims to analyze the projection of inflation rate in Central Java in the future by using the Box Jenkins method or what is called the Auto-Regressive Integrated Moving Average (ARIMA). The data used is monthly time series inflation data in the period January 2016 - April 2021 which is obtained from the Central Java Province Statistics Agency. The analysis conducted in this study, it shows that the best model is ARMA (3,0,3) or AR (3) and MA (3). The results show that inflation will tend to increase in the next few months. In the future, it is estimated that Bank Indonesia will continue to implement an expansionary monetary policy to stimulate the economy and achieve the inflation target, which is currently still low. Salah satu aspek penting dalam perekonomian adalah terjaganya harga-harga secara umum. Perekonomian Indonesia masih banyak bertumpu di Jawa Tengah. Penelitian ini bertujuan untuk menganalisis proyeksi laju inflasi di Jawa Tengah ke depannya dengan menggunakan metode Auto Regressive Integrated Moving Average (ARIMA). Data yang digunakan adalah data inflasi runtut waktu (times series) bulanan dalam kurun waktu Januari 2016 – April 2021 yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Tengah. Dari analisis yang dilakukan dalam penelitian ini menunjukkan bahwa model terbaik adalah ARMA (3,0,3 ) atau AR (3) dan MA (3) dengan stasioneritas pada tingkat level. Hasil penelitian menunjukkan bahwa inflasi akan cenderung meningkat dalam beberapa bulan ke depan. Ke depan, Bank Indonesia diperkirakan akan terus menerapkan kebijakan moneter ekspansif untuk mendorong perekonomian dan mencapai sasaran inflasi yang saat ini masih rendah.]]>
