Impact evaluation of credit guarantee schemes in agriculture

2021 ◽  
Keyword(s):  
Impact Evaluation ◽  
Credit Guarantee

Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Ondřej Dvouletý ◽  
Jan Čadil ◽  
Karel Mirošník
Keyword(s):  
Impact Evaluation ◽  
Central And Eastern Europe ◽  
Average Treatment Effect ◽  
Short Term ◽  
Return On Assets ◽  
Firm Level ◽  
Credit Guarantee ◽  
Personnel Costs ◽  
Fixed Assets ◽  
Financial Outcome

Abstract The study contributes to underdeveloped knowledge on effects of SME policies in Central and Eastern Europe. We evaluate two Czech credit guarantee schemes funded from EU funds during years 2007–2013. We conduct micro-econometric firm-level impact evaluation based on propensity score matching approach. We estimate average treatment effect on the treated (ATET) for six financial outcome variables (total assets, tangible fixed assets, personnel costs, sales, price-cost-margin and return on assets) measuring firm´s competitiveness. Two years after the programme, no statistically conclusive results were obtained for the most of the outcome variables. We found only a positive change in tangible fixed assets for the programme participants. However, we cannot say, that the supported firms would be better off, compared to those non-supported in a short-term. Our analysis shows that without reliable data gathered by public sector authorities, no rigorous evaluations can be made and thus no evidence driven policies can be formed.

scholarly journals Improving financial access to rural business. An impact evaluation of Mexico's credit guarantee programs

2018 ◽  
Author(s):  
Agustin Palao Mendizabal
Keyword(s):  
Impact Evaluation ◽  
Interrupted Time Series ◽  
Average Amount ◽  
Financial Access ◽  
Credit Guarantee ◽  
Guarantee System ◽  
Rural Business ◽  
Rural Businesses ◽  
Rural Producers ◽  
Rural Enterprises

<p>Whether improved financial access after the implementation of a new program on a credit guarantee system leads to a change in targeted rural businesses. Data from Mexican Credit Guarantee System for rural enterprises.</p> <p> A reduction in the average amount per guaranteed operations is found and it leads to a CGS shift in the targeted beneficiaries. Smaller rural producers are being included in the CGS due to changes in program eligibility conditions. The CGS beneficiary shift is assessed using Interrupted Time Series. Financial support and accessibility increased after the implementation of the Fondo Nacional de Garantías (FONAGA). The study shows temporal and permanent shifts on some of the credit guarantee operation parameters.<i></i></p>

scholarly journals Improving financial access to rural business. An impact evaluation of Mexico's credit guarantee programs

2018 ◽  
Author(s):  
Agustin Palao Mendizabal
Keyword(s):  
Impact Evaluation ◽  
Interrupted Time Series ◽  
Average Amount ◽  
Financial Access ◽  
Credit Guarantee ◽  
Guarantee System ◽  
Rural Business ◽  
Rural Businesses ◽  
Rural Producers ◽  
Rural Enterprises

<p>Whether improved financial access after the implementation of a new program on a credit guarantee system leads to a change in targeted rural businesses. Data from Mexican Credit Guarantee System for rural enterprises.</p> <p> A reduction in the average amount per guaranteed operations is found and it leads to a CGS shift in the targeted beneficiaries. Smaller rural producers are being included in the CGS due to changes in program eligibility conditions. The CGS beneficiary shift is assessed using Interrupted Time Series. Financial support and accessibility increased after the implementation of the Fondo Nacional de Garantías (FONAGA). The study shows temporal and permanent shifts on some of the credit guarantee operation parameters.<i></i></p>

Impact Evaluation

2019 ◽  
Author(s):  
Markus Frölich ◽  
Stefan Sperlich
Keyword(s):  
Impact Evaluation

The Impact Evaluation of the Maryland Break the Cycle Initiative

2003 ◽  
Author(s):  
Adele Harrell ◽  
John Roman ◽  
Avinash Bhati ◽  
Barbara Parthasarathy
Keyword(s):  
Impact Evaluation ◽  
The Impact

DAMPAK DAN IMPLEMENTASI BANTUAN PEMERINTAH TERHADAP PEMBERDAYAAN MASYARAKAT KABUPATEN BANGGAI

2019 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Andi Hartati
Keyword(s):  
Impact Evaluation ◽  
Cluster Sampling ◽  
One Stage

Tujuan penelitian ini adalah untuk menganalisis dampak dan implementasi bantuan pemerintah daerah terhadap pemberdayaan masyarakat Kabupaten Banggai. Penentuan daerah sampel dilakukan Teknik pengambilan sampel yang dilakukan menggunakan Metode One-Stage Cluster Sampling yang merupakan teknik memilih sebuah sampel dari kelompok-kelompok unit yang kecil atau membagi populasi menjadi kelompok atau kluster. Beberapa kluster kemudian dipilih sebagai wakil dari populasi yaitu Kecamatan Luwuk Timur, Kecamatan Luwuk Utara dan Kecamatan Luwuk dengan mempertimbangkan jumlah dan jenis bantuan pemerintah yang diterima. Kemudian seluruh elemen dalam kluster terpilih dijadikan sebagai sampel penelitian. Metode   analisis data dengan menggunakan metode deskriptif untuk menjelaskan gambaran umum mengenai Dampak Dan Implementasi Bantuan Pemerintah Terhadap Pemberdayaan Masyarakat Kabupaten Banggai dengan menggunakan metode ImportancePerformance Analysis (IPA). Pengukuran faktor dilakukan membandingkan antara harapan dan kinerja pelaksanaan bantuan pemerintah terhadap pemberdayaan masyarakat Kabupaten Banggai. Metode ini dilakukan dengan pendekatan evaluasi dampak (impact evaluation). Hasil penelitian menunjukkan bahwa implementasi bantuan pemerintah terhadap pemberdayaan masyarakat Kabupaten Banggai diperoleh hasil bahwa bantuan pemerintah yang diberikan kepada masyarakat 99 persen tepat jumlah, 99 persen guna namun 18, 87 persen tidak tepat sasaran, 25, 31 persen tidak tepat waktu. Berdasarkan hasil perhitungan SPSS 17 nilai Sig (2-tailed) adalah sebesar 0,000 < 0,05 bahwa terdapat perbedaan yang signifikan antara pendapatan perbulan sebelum menerima bantuan pemerintah dengan pendapatan perbulan setelah menerima bantuan pemerintah. Dari hasil perhitungan uji t dapat dilihat bahwa harga t = |20,586| dengan tingkat signifikansi 0,00. Harga t pada tabel alpha 0,05 (df 301) adalah 1,967Dengan demikian t hitung 20,586 > t tabel 1,967 dapat ditarik kesimpulan bahwabantuan pemerintah berdampak pada pendapatan masyarakat.

The effect of credit guarantee on creating employment and keeping employees of small businesses

2014 ◽  
Vol 34 (1) ◽  
pp. 29-58
Author(s):  
Sung-ho Kang ◽  
Chang-Kyun Chae ◽  
오승현 ◽  
문외솔 ◽  
Chong Ook Rhee ◽  
...  
Keyword(s):  
Small Businesses ◽  
Credit Guarantee
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