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1.
Heliyon ; 10(2): e24326, 2024 Jan 30.
Article in English | MEDLINE | ID: mdl-38293358

ABSTRACT

This paper mainly investigates whether emissions trading for pollutant permits more effective. By employing difference-in-differences method and a compressive firm-level dataset, we evaluate the impact of carbon trading system pilot cities policy on enterprises' energy-saving behavior. The findings indicate that after carbon trading system pilot cities policy, enterprises' coal consumption and coal intensity decreased by almost 34 % and 33 % respectively. The policy effect is more pronounced for larger companies and for firms in energy-intensive sectors. Moreover, the policy effect becomes stronger over time. Our results satisfy the common trend assumption. Meanwhile, the investment in equipment and output are increased, which prove emissions marketization could bring about substantial improvements in productivity.

2.
Environ Sci Pollut Res Int ; 30(46): 103101-103118, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37682442

ABSTRACT

Green credit policy (GCP) has dual attributes of being both an "environmental regulation" and a "financial instrument". Understanding its role in facilitating industrial green transformation is crucial. However, there is limited theoretical and empirical evidence on the impact of GCP on industrial green transformation. This research fills this gap by comprehensively investigating the impacts and mechanisms of GCP on industrial energy intensity (EI) in China, considering both incentive and constraint effects. Theoretically, the environmental and financial impacts of GCP are merged into a unified analytical framework based on a heterogeneous enterprise model. Empirically, diverse empirical methods, including difference-in-differences (DID), difference-in-differences-in-differences (DDD), and mediating effects models, are adopted to examine whether GCP can promote green innovation or accelerate financial constraints. Results show that (1) GCP significantly decreases EI, especially among high-polluting enterprises (HPEs). The impact of incentives is far greater than that of constraints. (2) Regarding the incentive effect, energy substitution and innovation offsets exert a primary influence on reducing EI. (3) The constraint effect is caused primarily by rising financing and pollution abatement costs. (4) Heterogeneity analysis shows that the inhibiting effect of GCP is more significant in non-state-owned enterprises, underdeveloped financial markets, and abundant energy endowments. This paper provides a theoretical framework and new empirical evidence for policymakers to design effective policies for promoting industrial green transformation.


Subject(s)
Environmental Pollution , Motivation , China , Industry , Policy , Environmental Policy
3.
Pak J Pharm Sci ; 27(4 Suppl): 1049-55, 2014 Jul.
Article in English | MEDLINE | ID: mdl-25016265

ABSTRACT

Using pesticides has double effects. On one hand, it contributes to pests control and regulates the growth of crops; On the other hand, it does harm to the environment. To develop ecological agriculture should not only emphasize the output level of agriculture to pursuit of economic efficiency, but also need to keep the ecological environment protected and focus on the social benefits during the development of the industry. As a large agricultural country in the world, China is vigorously promoting the development of ecological agriculture, which is bound to put forward to developing the pesticide industry and green ecological development requirements to promote the transformation and upgrading of agricultural pharmaceutical industry. This paper discusses the mechanism of pesticide pollution on the ecological environment and analyzes China's agricultural problems in the pharmaceutical industry. Then study on the development of Chinese green pesticides and try to find the proper paths of agricultural pharmaceutical to achieve industrial upgrading.


Subject(s)
Agriculture , Drug Industry , Pesticides , China , Conservation of Natural Resources , Ecosystem , Humans , Intellectual Property
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