Rethinking the Prospects of Sustainable Finance and Challenges of Agribusiness Transformation in Nigeria

2022 ◽  
pp. 312-332
Author(s):  
Lukman Raimi ◽  
Morufu Oladimeji Shokunbi ◽  
Rabiu Olowo

The chapter explicates the need to rethink the prospects of sustainable finance (SF) for agribusiness transformation in spite of the challenges facing the sector in Nigeria. It extends to highlighting the implications of the nexus on entrepreneurship development. After a triangular data analysis using the world development indicators (2000-2016) and scholarly articles, the authors found that the prospects of SF are enormous: (1) Nigeria has a modest agricultural growth performance in the crop, food, livestock, and cereal production that could support SF; and (2) SF options such as green loans, green bonds, green credit, green investment funds, green mortgage scheme, and other green financial support instruments could be suitable for agribusiness transformation in the country. Also, the content analysis revealed there are 13 challenges facing agribusiness transformation in the country, and these have harmed the vegetation, farmland, and ocean leading to low productivity. The authors contribute to the literature by identifying SF options as a game-changer for agribusiness transformation.

2016 ◽  
Vol 9 (3) ◽  
pp. 39
Author(s):  
Alex Thomas Ijjo ◽  
Isaac M. B. Shinyekwa

Endemic supply side constraints including fluctuating output levels, deficient trade infrastructure, rampant non-tariff barriers and incapacity to ensure international quality standards continue to thwart the gainful participation of many Least Developed Countries (LDCs) in an increasingly liberal global trade environment. At its 2005 Hong Kong Ministerial Conference, the World Trade Organization launched its Aid for Trade (AFT) initiative aimed at coordinating global financial support for strengthening trade capacity in Least Developed Countries (LDCs). This paper examined the effect of foreign aid, particularly Official Development Assistance, on Uganda’s external trade and its AFT component in strengthening the country’s trade capacity. Using time series Error Correction Modelling and the World Bank’s World Development Indicators and official national statistics, the paper finds small but positive aid influence on Uganda’s exports and imports and generally close alignment between aid and national priorities. However, given general aid volatility but more especially following the anti-homosexuality legislation and gross corruption allegations in the case of Uganda, the paper advises that external aid be treated as a supplement rather than a substitute for domestic financial resource mobilization in trade capacity development.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Muhammad Atif Nawaz ◽  
Muhammad Sajjad Hussain ◽  
Altaf Hussain

Sustainable development is now a mantra for which every country is striving for it and green finance, and green financial development which is advancement in financial activities harmonized with environmental protection and ecological balance, is considered as the foremost solution for it. Keeping in view the importance of green financial development for the economic growth, this study aims to examine the effects of green financial development such as green credit, green securities, green insurance, green investment, and foreign direct investment on the economic growth of Pakistan. The time series has extracted from World Development Indicators (WDI) and State Bank of Pakistan (SBP) for the period 1981 to 2019. For the analysis purpose, Autoregressive distributive lag (ARDL) and Granger casualty have been executed. The findings established empirically that green financial development such as green credit, green securities, green insurance, green investment, and foreign direct investment have a positive impact on the economic growth of Pakistan. These findings provide the insight to the regulators that they should enhance their focus towards green financial development that is imperative for the economic growth of the country.


Author(s):  
P. Wilner Jeanty

This article introduces a new Stata command, labcenswdi,1 to automatically manage databases that provide variable descriptions on the second row in a dataset. While renaming all variables and converting them from string to numeric, labcenswdi automatically manages the variable descriptions including removing them from the second row to place them into Stata variable labels and saving them to a text file. The process yields a dataset ready for statistical analysis. I illustrate how this command can be used to efficiently manage datasets obtained from the U.S. Census 2000 and the World Development Indicators databases.


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