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

One of the surprising findings in the economic literature is that natural resource-rich countries tend to have slower economic growth than resource-poor countries do, i.e., the natural resource curse and Dutch disease. In this paper, we revisit these issues by applying quantile regression and using the most updated data. The results demonstrate that resource-intensive countries in 1970 suffered from slower economic growth than did resource-poor countries over the next 20 years, consistent with Sachs and Warner (1995, 1997, 2001). However, contrary to our initial expectation, we find that the natural resource abundance in 1990 had positive impacts on economic growth between 1990 and 2010. We further test Dutch disease theory, and the result contradicts the Dutch disease hypothesis. Overall, our analysis suggests that in the period from 1970 to 1990, the hypotheses of a resource curse and Dutch disease hold. However, in the period from 1990 to 2010, these hypotheses no longer hold because manufacturing sectors have grown sufficiently even in resource-rich countries.

Further investigation of natural resources and economic growth: Do natural resources depress economic growth?

http://www.cell.com/article/S2405844022028092/pdf

The evolution of the environmental Kuznets curve hypothesis assessment: A literature review under a critical analysis perspective

Evaluation of coordinated development of forestry management efficiency and forest ecological security: A spatiotemporal empirical study based on China’s provinces

Carbon dioxide emission and climatic variation have a detrimental influence on the atmosphere as well as on agriculture production. The key aim of the present study was to investigate the influence of carbon dioxide emission on livestock, cereal crops production, rainfall and temperature in China by utilizing the vector autoregressive model and Granger causality test for the period 1988-2017. Variables stationarity was verified by using ADF, P-P and KPSS unit root tests. The outcomes through long-run dynamics exposed that agriculture value added and rainfall have a positive influence on carbon dioxide emission, while cereal crops production, livestock production and temperature have an adverse interaction with carbon dioxide emission. Similarly, the results of the short-run analysis also demonstrate that agriculture value added, cereal crops production, livestock production, rainfall and temperature have a significant influence on carbon dioxide emission with their p-values (0.0488), (0.0885), (0.0263), (0.0096) and (0.5141) respectively. Furthermore, the Granger causality test outcomes also exposed a unidirectional linkage amid the variables. In order to improve agricultural productivity, the Chinese government should take potential steps to minimize the carbon dioxide emission from various industries that trigger climate change.

How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China.

On the relationship between water use and economic growth in China: New evidence from simultaneous equation model analysis

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On the relationship between water use and economic growth in China: New evidence from simultaneous equation model analysis