Macroeconomic Policy Frameworks for Resource-Rich Developing Countries--Analytic Frameworks and Applications

Policy Papers ◽  
2012 ◽  
Vol 2012 (71) ◽  
Author(s):  

This supplement presents the analytical frameworks underlying the IMF’s staff’s enhanced policy analysis and advice to resource-rich developing countries (RRDCs). The proposed macro-fiscal models, which are applied to selected country or regional cases, are aimed at addressing questions regarding how to deal with resource revenue uncertainty and how to scale up spending within relevant frameworks that ensure fiscal and external sustainability while addressing absorptive capacity constraints. The country applications confirm the importance attached by both IMF staff and country authorities of using the appropriate macro-fiscal frameworks to address the specific challenges faced by RRDCs.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duy Quoc Nguyen

PurposeOrganizational innovations are closely associated with organizational knowledge, and thus a firm builds its knowledge base to enhance its innovative performance. However, insights into this process are still limited, especially in the context of firms in developing countries. Building on the dynamic managerial capabilities literature and open innovation paradigm, this paper attempts to fill this gap by developing and empirically testing a model that investigates how firms in developing countries accumulate knowledge to innovate.Design/methodology/approachA model of a firm's knowledge accumulation and innovation is proposed in which it specifies relationships among absorptive capacity, knowledge breadth, research and development (R&D), knowledge depth, exploratory innovation and exploitative innovation, and then it is empirically tested by using the structural equation modeling (SEM) technique based on the surveyed data of Vietnamese firms.FindingsThe results indicate that absorptive capacity positively influences both knowledge breadth and knowledge depth, knowledge breadth positively influences R&D, R&D positively influences exploratory innovation and knowledge depth, and knowledge depth positively influences exploratory and exploitative innovation.Practical implicationsThe study proposes an “acquire and develop” open innovation model for firms in developing countries in which firms acquire external technologies and then develop R&D (develop and design) capability to adapt acquired technologies to their local conditions to create new organizational-specific capabilities and exploratory innovation.Originality/valueThis study argues that external knowledge acquisition is beneficial to innovative performance of firms in developing countries via renewing their knowledge base. Furthermore, the study provides the unique evidence that novel external knowledge acquisition and internal R&D are fit to each other in the fit-as-mediation form in which novel external knowledge acquisition is mediated by R&D to positively influence exploratory innovation.


Author(s):  
Alemayehu Geda ◽  
Fredrik Huizinga ◽  
Addis Yimer

In this study we have developed a macro-econometric model for a typical supply constrained African economy. This is aimed at developing a theoretical and empirical template for such policy tools which are increasingly demanded in Africa. We have concretized it by building a macro-econometric model for Rwanda. The Rwanda macro-econometric model has 107 equations of which 72 are endogenous. In addition, a supplementary ARIMA based model with 33 equations for exogenous variable is built to make the model useful for forecasting. The fiscal, balance of payment and money supply block of the model is fairly disaggregated to offer an adequate picture of the macro economy. An econometric estimation of the core behavioral equations of the model using equilibrium [error]-correction approach is made with the database that stretches from 1960 to 2009. The model is similar to successful macro models in the region such as that of the KIPPRA-Treasury model of Kenya. It can also easily be further extended to the support budgeting, forecasting and macroeconomic policy analysis work at the relevant ministries in Africa such as the Ministry of Finance in Rwanda. We have managed to successfully solve the model from 1999 to 2009 and forecast major macro outcomes from 2010 to 2014. We have also used it to conduct a policy simulation exercise which is very important for policy makers such as those in Rwanda. We hope this model offers a theoretical and empirical framework for building macro model across Africa which is increasingly being demanded in many countries.


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