Research on the development and evaluation of low-carbon agricultural economy based on financial diversity

Abstract

How to develop a low-carbon and environmentally friendly agricultural economy under the conditions of financial diversity is a realistic problem that appears in the context of the current era. In this manuscript, taking cities in western, central and eastern China as examples, the entropy method was used to systematically study the impact of financial diversity on the development of low-carbon and environmentally friendly agricultural economy. Through this study, a low-carbon environmental protection agricultural development factor index system based on financial diversification was constructed, and the entropy method was used to determine the weight of agricultural financial indicators. The results showed that the indicators of agricultural economic and financial ecological diversification ranged from 2.315 to 4.872, with an average value of 3.214. The financial diversity of eastern urban areas was higher than that of central and western cities. The development level of China's low-carbon environmental protection agricultural finance varies greatly from region to region, and there is a large room for balanced development. The regression analysis of low-carbon environmental protection agricultural economic development factors showed that the financial ecological diversity in the eastern region has a significant inhibitory effect on the development of low-carbon finance; the financial ecological diversity in the central region is conducive to the development of low-carbon agricultural finance; the financial ecological diversity in the western region is negatively related to the development of lowcarbon agricultural finance. Financial diversity has a good positive correlation with urban carbon emissions. Although complex financial diversity optimizes the structure of the agricultural economy, it also emits excessive agricultural carbon emissions, which is detrimental to the sustainable development of cities. The output value of the coal industry also has a good positive correlation with urban carbon emissions. The reduction of carbon emissions should speed up the transformation of coal-based energy companies and the development of new energy sources. Environmental protection investment has a weak positive correlation with urban carbon emissions, and environmental protection investment is far from being able to match the increase in carbon emissions. This research can be used for the construction and optimization of agricultural economic indicators