In many developing countries, the deficiency in public and private investment has resulted in lower growth rates and stagnation in productivity. The need for a new paradigm of foreign investment and aid in agricultural production is becoming exigent in developing countries. Given the decline in per capita arable land, the rise in production costs, and the increase in population and urbanization, major changes in agriculture have been proposed to boost agricultural production. This present study endeavours to contribute to the existing literature by proving whether foreign capital and economic freedom could catapult food production into the much-anticipated growth. In that regard, we performed GLS with correlated disturbances, system GMM dynamic panel data estimators and D-H causality test. The study found that foreign capital as a whole plays a positive role in food production in developing and least developed countries, but FDI is insignificant in least-developed countries. Moreover, economic freedom plays a positive role in food production in least-developed countries but negative in developing countries. Policymakers and governments should create an enabling environment for sustainable food production.
Textual analysis and the Entropy-TOPSIS method are used in this research to create a measure of corporate environmental protection, and multiple regressions are used to find out how digitalization affects corporate environmental protection. The research sets up a theoretical framework for how corporate digitalization affects environmental protection and looks into how external financing constraints and an organization’s own financial position play a role in the middle. The research then looks at how outside factors like the business environment of the market and the level of competition in the industry affect the relationship. Using a threshold regression approach, the research also examines the change in the impact of digitalization on environmental protection after investor sentiment crosses the threshold from the distinct perspective of investor sentiment. Our research provides theoretical support for environmental protection by corporations and government policy direction.
The Environmental Kuznets Curve is a key indicator to measure the relationship between the environmental pollution level and economic development. Considering that China’s economic development is a superposing process of multiple industrial technologies, in order to restore the classical Environmental Kuznets Curve estimation as much as possible, this paper selects the data of six types of pollutants between provinces (except Tibet) in China during 2011–2017 to construct a comprehensive environmental pollution degree indicator, which is more objective than the single indicator in traditional research; estimates the Environmental Kuznets Curve with per capita disposable income; and then conducts a panel regression analysis based on the econometric model. Research shows that the relationship between comprehensive environmental pollution and economic development basically presents an inverted U-shape, which is consistent with the basic characteristics of the traditional Environmental Kuznets Curve, and the inflection point of the curve is 34,243.2 in RMB. Finally, according to the results, effective suggestions are put forward to correctly handle the relationship between economic development and environmental governance and optimize the path of environmental governance in China.
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