Financial sector development, financial innovation and economic growth: case of a selected SADC countries
- Mpukumpa, Siphosethu https://orcid.org/0000-0001-7342-8751
- Authors: Mpukumpa, Siphosethu https://orcid.org/0000-0001-7342-8751
- Date: 2023-04
- Subjects: Financial services industry -- Africa, Southern , Investments -- Africa, Southern , Economic development -- Africa, Southern
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/26852 , vital:66036
- Description: The financial sector plays a pivotal role in an economy of a country; hence the importance of financial sector development cannot be underestimated. Financial sector development is widely regarded as another conduit through which financial innovation and economic growth can be alleviated. The study firstly empirically examines the effect of financial sector development on financial innovation and also the impact of financial sector development and financial innovation on economic growth in selected Southern African Development Community (SADC) countries, employing the Generalized Method of Moments (GMM) technique for the period 1990 to 2020. Empirical results revealed that financial sector development overall does have an impact on financial innovation in the selected SADC countries. And also, financial sector development together with financial innovation does have an impact on economic growth in the selected SADC countries. However, on the relationship between financial system stability, financial innovation and economic growth, results reveal that a stable financial system is beneficial to new technological advancement and improved economic growth. Therefore, the overall findings from the study indicate that financial access or financial inclusion and financial stability is what increases financial innovation and boosts economic growth instead of mere financial sector development at a broader level. , Thesis (MCom) -- Faculty of Management and Commerce, 2023
- Full Text:
- Authors: Mpukumpa, Siphosethu https://orcid.org/0000-0001-7342-8751
- Date: 2023-04
- Subjects: Financial services industry -- Africa, Southern , Investments -- Africa, Southern , Economic development -- Africa, Southern
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/26852 , vital:66036
- Description: The financial sector plays a pivotal role in an economy of a country; hence the importance of financial sector development cannot be underestimated. Financial sector development is widely regarded as another conduit through which financial innovation and economic growth can be alleviated. The study firstly empirically examines the effect of financial sector development on financial innovation and also the impact of financial sector development and financial innovation on economic growth in selected Southern African Development Community (SADC) countries, employing the Generalized Method of Moments (GMM) technique for the period 1990 to 2020. Empirical results revealed that financial sector development overall does have an impact on financial innovation in the selected SADC countries. And also, financial sector development together with financial innovation does have an impact on economic growth in the selected SADC countries. However, on the relationship between financial system stability, financial innovation and economic growth, results reveal that a stable financial system is beneficial to new technological advancement and improved economic growth. Therefore, the overall findings from the study indicate that financial access or financial inclusion and financial stability is what increases financial innovation and boosts economic growth instead of mere financial sector development at a broader level. , Thesis (MCom) -- Faculty of Management and Commerce, 2023
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Analysis of factors affecting technical efficiency of a1 smallholder maize farmers under command agriculture scheme in Zimbabwe: the case of Chegutu and Zvimba districts.
- Authors: Muzeza, Norman Tatenda
- Date: 2021-09
- Subjects: Food security , Farms, Small , Agricultural extension work
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/20826 , vital:46607
- Description: Maize is the most essential cereal crop grown in Zimbabwe. This crop is produced across the country under different conditions and environments. The study focused on analyzing technical efficiency of A1 smallholder maize farmers in Chegutu and Zvimba districts under the Command Agriculture Scheme. Understanding technical efficiency is essential under developing agriculture, especially where resources are limited, and high population growth is quite common. In such a setting, increased output depends on efficiency improvements. The specific objectives of the study focused on estimating the level of technical efficiency, determinants of technical efficiency and the level of productivity among a randomly selected sample of 240 A1 smallholder maize farmers under the Command Agriculture Scheme. Purposive, cluster and random sampling techniques were used to collect primary data from the selected sample. The study applied the single-stage modelling stochastic frontier approach to assess technical efficiency of A1 smallholder maize farmers. The stochastic frontier results revealed that A1 smallholder farmers in Chegutu and Zvimba districts are technically efficient at 85 percent and 94 percent, respectively. The major determinants of technical efficiency varied across each district. In Chegutu district, major determinants of technical efficiency were basal fertilizer, labour and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 10 percent and 1 percent (0.012, 0.000 and 0.000) respectively. In Zvimba district, major determinants of technical efficiency were basal fertilizer, topdressing and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 5 percent, 10 percent and 1 percent (0.002, 0.021, 0.000) respectively. The study further estimated determinants of technical inefficiency. Main determinants of technical inefficiency in Chegutu district were age, maize farming experience and level of education. In Zvimba district, main determinants were maize farming experience, level of education, marital status, occupation status and other sources of income. The return to scale that measures the productivity level of farmers varied among the two districts in which farmers from Chegutu district had increasing returns to scale (1.43), whilst famers from Zvimba district had decreasing returns to scale (0.54). The study, therefore, argues that despite observed high technical efficiencies, Chegutu farmers could bridge their 15 percent gap between their observed output and the frontier output by focusing more on input usage with increasing returns to scale (1.43 percent). On the other hand, Zvimba farmers could bridge their 6 percent gap between their observed output and frontier output by focusing more on socio-economic drivers of technical inefficiency, given the decreasing returns to scale of their inputs (0.54 percent). , Thesis (MSc) (Agricultural Economics) -- University of Fort Hare, 2021
- Full Text:
- Authors: Muzeza, Norman Tatenda
- Date: 2021-09
- Subjects: Food security , Farms, Small , Agricultural extension work
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/20826 , vital:46607
- Description: Maize is the most essential cereal crop grown in Zimbabwe. This crop is produced across the country under different conditions and environments. The study focused on analyzing technical efficiency of A1 smallholder maize farmers in Chegutu and Zvimba districts under the Command Agriculture Scheme. Understanding technical efficiency is essential under developing agriculture, especially where resources are limited, and high population growth is quite common. In such a setting, increased output depends on efficiency improvements. The specific objectives of the study focused on estimating the level of technical efficiency, determinants of technical efficiency and the level of productivity among a randomly selected sample of 240 A1 smallholder maize farmers under the Command Agriculture Scheme. Purposive, cluster and random sampling techniques were used to collect primary data from the selected sample. The study applied the single-stage modelling stochastic frontier approach to assess technical efficiency of A1 smallholder maize farmers. The stochastic frontier results revealed that A1 smallholder farmers in Chegutu and Zvimba districts are technically efficient at 85 percent and 94 percent, respectively. The major determinants of technical efficiency varied across each district. In Chegutu district, major determinants of technical efficiency were basal fertilizer, labour and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 10 percent and 1 percent (0.012, 0.000 and 0.000) respectively. In Zvimba district, major determinants of technical efficiency were basal fertilizer, topdressing and area of land cultivated for maize production, and all indicated a positive relationship with level of significance less than 5 percent, 10 percent and 1 percent (0.002, 0.021, 0.000) respectively. The study further estimated determinants of technical inefficiency. Main determinants of technical inefficiency in Chegutu district were age, maize farming experience and level of education. In Zvimba district, main determinants were maize farming experience, level of education, marital status, occupation status and other sources of income. The return to scale that measures the productivity level of farmers varied among the two districts in which farmers from Chegutu district had increasing returns to scale (1.43), whilst famers from Zvimba district had decreasing returns to scale (0.54). The study, therefore, argues that despite observed high technical efficiencies, Chegutu farmers could bridge their 15 percent gap between their observed output and the frontier output by focusing more on input usage with increasing returns to scale (1.43 percent). On the other hand, Zvimba farmers could bridge their 6 percent gap between their observed output and frontier output by focusing more on socio-economic drivers of technical inefficiency, given the decreasing returns to scale of their inputs (0.54 percent). , Thesis (MSc) (Agricultural Economics) -- University of Fort Hare, 2021
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