The Correlation Study Between Ning Bo Harbor Manufacturing Enterprises’s Performance Of Environmental Responsibility And Financial Performance

With China, especially in the eastern region’s rapid economic development, the enterpriseregardless of the ecological environment, people’s health, the blind pursuit of high yields andmore serious, leading to destruction of environmental pollution, ecological increasingly unbalanced. For such high pollution, high consumption mode of production, the community givesa lot of attention and harsh criticism. Facts have proved that the expense of the high mountains to get financial performance is not feasible, relying solely on the government, social organizations, the external pressure effect is less obvious, to achieve environmental and economicwin-win situation lies in the nature of corporate earnings to meet its corporate environmentalresponsibility, and establish a corporate environmental responsibility and financial performanceimproved to fulfill the association, out of a green enterprise development.Manufacturing enterprises in Ningbo port is in the marine economic context, relying on the birth of convenient transportation and abundant marine energy business. Currently the coastal port industry has become one of the main forms of economic development. This article isbased manufacturing enterprises in Ningbo port, Ningbo port industry to explore fulfill corporate environmental responsibility and financial performance of the conceptual model, and try to use data validation of the model accuracy. Ningbo port for regional economic developmentis vital.This paper has three main parts: The first part is the theoretical foundation, introduced the theory of corporate environmental responsibility and stakeholder theory,. The second part isto fulfill corporate environmental responsibility and financial performance related.. The thirdpart is the empirical study, the first to perform for corporate environmental responsibility andcorporate financial performance of the two main targets were set; secondly, into two differentmeasurement models tested, draw conclusions.