Openness Economic Growth And Regional Disparities

​Substantial disparities across different Chinese regions are one of the most prominent features in China’s development process. This book investigates the mechanisms through which openness affects regional economic growth and interregional disparities in China. Based on the latest data and employing a variety of panel data regression techniques, it provides readers with new findings that shed light on the effects of openness on China’s regional economic growth and the evolution of the country’s interregional disparities.

This survey of the recent literature asks: how important is trade policy for poverty reduction? We consider the effects of openness on poverty in two components: the effect of openness on average income growth, and the effect on distribution for a given growth rate. Evidence from a variety of sources (cross-country and panel growth regressions, industry and firm-level research, and case studies) supports the view that trade openness contributes greatly to growth. Moreover, trade openness does not have systematic effects on the poor beyond its effect on overall growth. Trade policy is only one of many determinants of growth and poverty reduction. Trade openness has important positive spillovers on other aspects of reform, however, so that the correlation of trade with other pro-reform policies speaks to the advantages of making openness a primary part of the reform package.

The author considers the economic growth and reform in China from a provincial point of view.

Global growth is forecast at 3.0 percent for 2019, its lowest level since 2008–09 and a 0.3 percentage point downgrade from the April 2019 World Economic Outlook.

Regions and Cities at a Glance 2020 provides a comprehensive assessment of how regions and cities across the OECD are progressing towards stronger, more sustainable and more resilient economies and societies. In the light of the health crisis caused by the COVID-19 pandemic, the report analyses outcomes and drivers of social, economic and environmental resilience.

The OECD Regional Outlook 2016 examines the widening productivity gap across regions within countries, and the implications of these trends for the well-being of people living in different places.

We discuss regional disparities in economic performance and living standards. We first set out some key facts, and provide a conceptual framework to help analyze whether such disparities are efficient, or instead reflect market and/or policy failures. We examine whether policy attempts to reduce regional disparities necessarily involve a trade-off between equity and efficiency. We then investigate whether policymakers should focus on boosting the economic performance of lagging regions—or, conversely, accept the presence of regional disparities, and instead assist households in lagging regions through transfer payments, investments in education, health, and other basic services, and by facilitating out-migration.

Document from the year 2018 in the subject Economics - Finance, grade: 14, University of Sarajevo, language: English, abstract: In this book linear panel data estimators are employed to investigate the relationship between life insurance and economic growth. This study contributes to previous studies by using Maximum likelihood estimation of dynamic panel that was not used in previous studies concerning the aforementioned relationship; by controlling for number of factors thought to influence economic growth; by referring to a much larger number of countries and by exploring the relationship between life insurance and economic growth while controlling for the degree of financial sector development, as well as for the regional and income disparities. Sixteen models that explore the impact of control variables integrated singly in the equations and an integrated model that controls for the impact of all key variables are estimated. Empirical results reveal a significant positive relationship between life insurance and economic growth in models -. Education is reported to have a positive impact on economic growth. Government spending is found to have a negative impact on economic growth, while model reports that inflation has a negative impact on economic growth. Trade openness is not reported to have a significant impact on economic growth in model. Model reveals a significant positive impact of banking sector on economic growth; significant negative impact of non-life insurance sector while stock market is not reported to have a significant impact. An integrated model that controls for the impact of all key variables gives a strong support to the results obtained in models -. Results of models - that attempt to control for the importance of regional disparities indicate that a significant positive relationship between life insurance and economic growth is reported for all regions but South Asia and North America. Models - that additionally control for differences in