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The objective of this paper is to study the interactions between economic liberalisation, political liberalisation, and financial development in African countries. More specifically, the paper seeks to establish the impact of economic, political, and institutional openness on financial deepening.

In the empirical part, the paper proposes a two‐step procedure which involves the treatment effect and the new panel studies technique of recently updated data for economic and political reform.

The results show to what extent political liberalisation, economic liberalisation, and the stability of the political system have a statistically significant effect on the financial development of the continent, showing that reform, stability, and democratic rule seem to be favourable for development of the financial sector in the continent.

There are few studies that directly explore the link between political and economic liberalisation on financial development. The difference between this paper and other studies is that first, it is restricted to African countries, those that have been mostly undergoing the two types of reform (political and economics). The second reason is that most of the previous papers always took into consideration the effects of financial development on one of the reforms either political or economic, meanwhile in this paper, the author considers the various aspects of reform: political, economical, and the stability of the environment.

The purpose of this paper is to empirically examine the effects of financial liberalization and trade openness on the economic growth of two countries, namely, Pakistan and India for the period 1985-2014.

This study uses the autoregressive distributed lag technique, which allows mixed order of integration. In addition, it uses the principal component method to create an index for financial liberalization to examine how it affects the economic growth of the selected countries.

The findings reveal that in the short and long run, trade openness has positive effect on the Pakistan’s economic growth while the financial liberalization has positive impact only in the long run. In the case of India, both financial liberalization and trade openness positively and significantly influence the economic growth in the short and long run.

By comparing the results of both countries, trade openness and financial liberalization increase the economic growth of India more than that of Pakistan. These results suggest that Pakistan should consider appropriate positive policies regarding financial liberalization and trade openness to achieve high and stable economic growth in the future.

This study creates financial liberalization index by using the principal component analysis method to explain the role of financial liberalization in the economic growth of Pakistan and India. In addition, it makes comparison of the results based on which country benefits most from the liberalization of trade and financial sectors. Only very few studies have examined these countries, yet their results have remained inconclusive as well.

This study aims to examine the effect of trade liberalization on welfare, directly or indirectly, through the productivity of the agricultural sector and the productivity of the industrial sector, which affects economic growth and the welfare of the community.

This study is explanatory as it looks at causal relationships between one variable with another (causality relationship). The data used in this study are secondary data from various sources, such as the International Financial Statistics (IFS) from the International Monetary Fund (IMF), World Bank, Bank Indonesia reports, Central Bureau of Statistics and several other sources. All data used in this study is annual data for each research variable from 1986 to 2016.

Based on the results of the analysis, there is a significant direct and negative influence of the agricultural sector productivity on economic growth, a significant direct and negative influence of the industrial sector productivity on economic growth.

Considering the diverse effects of trade liberalization both on economic growth and people's welfare in developing countries, the researcher was interested in knowing how trade liberalization affects Indonesia. This study tries to observe and analyze those relations.

There is a large body of literature on the link between trade liberalisation, growth and poverty. However, less attention has been paid to the relationship between trade and regional disparities. The purpose of this paper is to identify and quantify the regional impacts of trade liberalisation, particularly in the war-affected regions and to understand to what extent trade reforms can contribute to the post-war recovery process and long-term economic and political stability in Sri Lanka.

The authors developed a single country multi-regional computable general equilibrium (CGE) model for the Sri Lankan economy to meet the need for a detailed country study as emphasised in the recent literature.

Both short-run and long-run results suggest that all regions including war-affected regions in the country gain from trade liberalisation, although gains are uneven across regions. Furthermore, the results suggest that war-affected regions gain more relative to some other regions in the long run.

According to the best of the authors’ knowledge within country regional impact of trade liberalisation using a multi-regional CGE model has never been attempted for Sri Lanka. The results of this study, even though based on Sri Lankan data, will be relevant to other developing countries engulfed in internal conflicts with regional economic disparities.

The purpose of this paper is to investigate the impact of liberalisations policies on income inequality in African countries. Examining whether the liberalisations policies have affected the income distribution of everyone equally or they only assist those who are already relatively well off; leaving the poor behind. The authors also examine how they affect income distribution in the various countries within the continent, and their effect on short and long runs?

First, The authors used the before and after comparison, to examine the response of the level of income inequality and the volatility of income inequality from the time that financial or trade liberalisations took place in each country. Next, the authors used the panel data techniques model for a sample of 26 African countries spanning the period 1996-2010 to investigate the effect of liberalisation policies on income distribution.

The authors find that financial liberalisation has a levitated income-redistributive effect with the magnitude of the de jure measure (KAOPEN) higher than that of the de facto measure (FDI); that exports, trade and “freedom to trade” have an equality incidence on income distribution; and that institutional and/or political liberalisation has a negative impact and; economic freedom has a negative income-redistributive effect, possibly because of the weight of its legal component.

In general, this study provides a variegated picture, findings tend to suggest that overall the reforms have increased income inequality in African countries. It would be risky to prescribe a general policy because of the diversity of the country. However, African countries’ better performance can be attributed to a combination of policies. For example avoiding the Marco price mixture of real exchange rate appreciation and high domestic interest rates; having capital controls and prudential financial regulations which would enable them to contain the negative consequence of capital flows; putting a system in place to direct export between African countries and encouraging sub regional integration agreement. The government should put in place countervailing social policies in order to withstand social coherence and smooth the adverse transition of liberalisation policies.

Three main elements of originality clearly standout: first, the estimation approach used in the paper considers both short- and long-run effects of in empirical strategy; second, an exhaustive plethora of liberalisation policies (trade, financial, political and institutional are considered); and third, recent data are used to appraise second generation reforms for more updated policy implications.

The purpose of the paper is to review the issues involved in determining the appropriate speed of adjustment and the sequencing of economic reforms, and to develop a checklist of key guidelines for policymakers as a basis for their decision‐making process.

The paper develops a conceptual framework based on a survey of the theoretical and empirical literature, and the practical experience of the authors in this area.

The analysis in the paper shows that the optimal speed and sequence of reforms is country‐specific. But key policy considerations can help guide policymakers in the design of their reform strategy.

The arguments favoring a shock approach or a gradual approach are not absolute. Each country has to choose the proper speed of adjustment and sequencing of reforms by examining country‐specific factors. A thorough case‐by‐case analysis is needed before a decision on the appropriate timing and sequencing of reforms can be made.

The analysis in the paper leads to key reform guidelines for policymakers – covering areas such as prerequisites and resource constraints, political economy considerations, credibility and sustainability of reforms – that are instrumental in developing a well‐sequenced strategy.

This chapter reviews the effects of air transport liberalization, and investigates the roles played by airport-airline vertical arrangements in liberalizing markets. Our investigation concludes that liberalization has led to substantial economic and traffic growth. Such positive outcomes are mainly due to increased competition and efficiency gains in the airline industry, and positive externalities to the overall economy. Liberalization allows airlines to optimize their networks, and thus may introduce substantial demand and financial uncertainty to airports. Vertical arrangements between airlines and airports may offer a wide range of benefits to the parties involved, yet such arrangements could also lead to airline entry barriers which reduce the effects of liberalization. Three approaches have been developed to model the effects of liberalization in complex market conditions, which include the analytical, econometric and computational network methods. These approaches should be selectively utilized in policy studies on liberalization.

The purpose of this paper is to investigate how trade liberalization influences rural poverty reduction in China.

The authors make use of China Family Panel Studies survey data, take annual income of farmers of RMB2,300 and RMB3,450 as the poverty lines (poverty line 1 and poverty line 2, respectively). Residents below poverty line 1 and poverty line 2 are 2,580 and 2,661, respectively. Probit model is used to estimate the impact of trade liberalization on the poverty probability. Income-deciding equation is used to estimate the impact of trade liberalization on the income level of poor residents in rural areas. Income-deciding equation is also used to examine the transmission mechanism of trade liberalization affecting rural poverty.

This study finds that trade liberalization can reduce the poverty probability of rural residents and promote the income growth of poor residents in rural areas. Trade liberalization increases the income of poor residents and reduces poverty through transmission mechanisms such as promoting economic growth and financial expenditure.

To the authors’ knowledge, this is the first empirical study to quantitatively model the impact of trade liberalization on rural poverty reduction in China using residents’ survey data.

This paper aims to reexamine the relationship between financial openness and financial development in Ghana.

The study applied maximum likelihood estimation and autoregressive distributed lag approach and tested Granger causality using quarterly data from 1990:1 to 2020:4.

This study revealed a long-run equilibrium relationship between financial openness and development, indicating that financial openness is a critical factor in Ghana’s financial development. Therefore, the study recommends with caution that policies aimed at promoting financial openness could be an effective way to encourage sustainable financial development in Ghana, as financial openness alone may not bring the desired outcome.

The study contributes to the existing body of knowledge by providing empirical evidence of the link between financial openness and financial sector development in Ghana. Future research could delve deeper into the mechanisms through which financial openness affects financial development, exploring potential channels and transmission mechanisms.

The findings suggest that policymakers, particularly the Ministry of Finance and the Bank of Ghana, should prioritize policies aimed at promoting financial openness. This includes continued efforts toward financial liberalization and creating an environment conducive to domestic and international financial transactions. Moreover, policies aimed at increasing trade openness, boosting real GDP and maintaining moderate real interest rates are essential for fostering financial sector development.

Enhancing financial sector development can have significant implications for society, including increased access to financial services, improved economic opportunities and enhanced overall economic stability. By promoting financial openness and development, policymakers would contribute to poverty reduction, job creation and overall socio-economic development. The study bridges the gap between theory and practice by providing empirical evidence supporting the theoretical proposition that financial openness stimulates financial sector development.

This study fills a crucial gap in the literature on the effects of financial openness on Ghana’s financial sector development. It focuses on Ghana, which liberalized its financial sector in 1988 as part of the overall economic reforms in 1983, and this justifies the starting point of this paper in 1990, as there are no adequate data before 1990. The study uses principal component analysis to construct an index that measures financial development. The study considers the recent financial crises in Ghana in 2017 and underscores the importance of understanding the link between financial openness and financial development, which becomes useful for policymakers and researchers studying financial system development in sub-Saharan Africa which includes Ghana.

The purpose of this study is to empirically weigh the evidence for financial depth, liquidity and efficiency role to economic growth, and test for the existence of cointegration between financial development variables and economic growth in Tanzania.

The study used the autoregressive distributed lag model with bound testing procedures. The sample covered yearly time-series data from 1980 to 2017, i.e. 38 years.

The results suggest that financial system depth is positively related to economic growth in the short run and that financial system liquidity and efficiency is strongly negatively associated with economic growth both in the short and long run. Further, it is found that financial development is cointegrated with economic growth. Thus, financial reforms and liberalisation have not fully brought the desired positive effects on economic growth yet.

The study uses principal component analysis to capture specific dimensions within the financial system as an intuitive way to aggregate financial development effects. Unlike studies that included several countries with heterogeneous characteristics, which are sometimes difficulty to homogenise, in recognition of countries’ unique experiences, this study uses data from Tanzania as a specific case. It documents pertinent pieces of evidence for a developing economy necessary for financial policy adjustments post the financial and economic liberalisation and reforms period. It nevertheless sheds light on financial policies for other comparable developing economies during and after both financial and economic liberalisation settings.