计量经济分析 = Econometric analysis

We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline

https://www.econstor.eu/bitstream/10419/81822/1/02-28.pdf

Economic growth and income inequality

Sustainable Development Goals

https://link.springer.com/content/pdf/10.1057%2Fpalgrave.ces.8100210.pdf

Multinational Firms in the World Economy

International Economics: Theory and Policy is built on Steve Suranovic’s belief that students need to learn the theory and models to understand how economics works and how economists understand the world And, that these ideas are accessible to most students if they are explained thoroughlySo, if you are looking for an International Economics text that will prepare your PhD students while promoting serious comprehension for the non-economics major, Steve Suranovic’s International Economics: Theory and Policy is for you International Economics: Theory and Policy presents numerous models in some detail; not by employing advanced mathematics, but rather by walking students through a detailed description of how a model’s assumptions influence its conclusions Then, students learn how the models connect with the real world Steve’s book covers positive economics to help answer the normative questions; for example, what should a country do about trade policy, or about exchange rate policy? The results from models give students insights that help us answer these questions Thus, this text strives to explain why each model is interesting by connecting its results to some aspect of a current policy issue This text eliminates some needlessly difficult material while adding and elaborating on other principles For example, the development of the relative supply/demand structure, or the presentation of offer curves, are omitted as to not go too deeply into topics that tend to confuse many students at this level Steve developed new approaches in this text including a simple way to present the Jones’ magnification effects, a systematic method to teach the theory of the second best, and a unique description of valid reasons to worry about trade deficits These new approaches help students learn the concepts and models and derive conclusions from them If you like to take a comprehensive look at trade policies, be sure to check out the chapter on Trade Policy (7) It provides a comprehensive look at many more trade policies than are found in many of the printed textbooks on the market todayInternational Economics: Theory and Policy by Steve Suranovic is intended for use in a full semester trade course, a full semester finance course, or a one semester trade/finance course

International Economics: Theory and Policy

A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions

The relationship between air pollution and COVID-19-related deaths: An application to three French cities

A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China

This study uses two different approaches to explore the relationship between pollution emissions, economic growth, and COVID-19 deaths in India. Using a time series approach and annual data for the years from 1980 to 2018, stationarity and Toda-Yamamoto causality tests were performed. The results highlight unidirectional causality between economic growth and pollution. Then, a D2C algorithm on proportion-based causality is applied, implementing the Oryx 2.0.8 protocol in Apache. The underlying hypothesis is that a predetermined pollution concentration, caused by economic growth, could foster COVID-19 by making the respiratory system more susceptible to infection. We use data (from January 29 to May 18, 2020) on confirmed deaths (total and daily) and air pollution concentration levels for 25 major Indian cities. We verify a ML causal link between PM2.5, CO2, NO2, and COVID-19 deaths. The implications require careful policy design.

/pdf/pollution-economic-growth-and-covid-19-deaths-in-india-a-2ex56om0wd.pdf

Marco Mele

Papers

A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions

The relationship between air pollution and COVID-19-related deaths: An application to three French cities

A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

The relationship between municipal solid waste and greenhouse gas emissions: Evidence from Switzerland.