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POLICY AND PRACTICE REVIEWS article

Front. Environ. Sci., 14 June 2024
Sec. Environmental Policy and Governance
This article is part of the Research Topic Green Finance & Carbon Neutrality: Strategies and Policies for a Sustainable Future View all 24 articles

Selection and application of China environmental sustainability policy instrumental: a quantitative analysis based on “Dual Carbon” policy text

Zhai Jing
Zhai Jing1*Hu Feng
Hu Feng2*
  • 1School of Public Policy and Management, Guangxi University, Nanning, China
  • 2Jiangsu Information Institute of Science and Technology (Jiangsu Academy of Science and Technology for Development), Nanjing, China

The “Dual Carbon” policy is a strategic instrument for the realization of the “Dual Carbon”target. The quantitative analysis of the “Dual Carbon” policy can provide theoretical support and decision-making reference for the institutional design and adjustment of the policy, so as to further improve the “Dual Carbon” 1 + N policy system. By constructing a three-dimensional analysis framework of “instrument-goal-object”, adopting the content analysis method, and combining the coding results of the “Dual Carbon” policy text to conduct multidimensional cross-analysis, we found that the overall design of the “Dual Carbon” policy is reasonable, but at the same time, there are problems such as unbalanced distribution of policy instruments, incomplete coverage of policy goals, insufficient synergy of policy objects, and low degree of matching between policy dimensions. In response to these problems, targeted mitigation measures are proposed.

1 Introduction

Since the year 2006, China has been the world’s largest emitter of carbon dioxide (Guan et al., 2021). China’s CO2 emissions grew 565 Mt in 2023 to reach 12.6 Gt. This represents an increase of 4.7%, as emissions from energy combustion increased 5.2% (IEA50,2024). China has actively implemented governance measures to mitigate climate change since the Paris Agreement (The Paris Agreement, 2015) came into effect in November 2016. China will increase its autonomous national contribution, adopt more aggressive policies and initiatives, and strive to achieve a peak in CO2 emissions by 2030 and strive to achieve carbon neutrality by 2060 (herein referred to as “Dual Carbon”), General Secretary Xi J P stated at the 75th General Debate of the United Nations General Assembly on 22 September 2020. The promotion of China’s economy’s high-quality development is inherently reliant on the achievement of “Double Carbon” target. The decision to advance to a new stage in the development of economic society and energy technology is also inevitable (Jiang and Raza, 2023). China has constructed the “Dual Carbon 1 + N policy framework” as a timeline, roadmap and construction plan to achieve the “Dual Carbon” target, of which the“Opinions of the Central Committee of the Communist Party of China State Council on the Complete and Accurate Implementation of the New Development Concept and the Good Work of Carbon Peaking and Carbon Neutrality” (hereinafter referred to as the “Opinions”) is the top priority. The “Opinions” will serve as the top-level design, and will lead the formulation of a series of “Dual Carbon” policy, and on the basis of the existing “Dual Carbon” related policies, continuously extend the thickness, depth and breadth of the “Dual Carbon 1 + N policy framework”. Although the basic structure of China’s “Dual Carbon” 1 + N policy framework has been established (Lu, 2022), “Dual Carbon” encompasses a wide range of subjects, involves numerous fields, and will take place over the course of the next 3 decades or even longer. As a result, achieving the target of “Dual Carbon” is a multifaceted, lengthy, systematic project that calls for the Chinese government to continuously adjust, improve, and optimize the “Dual Carbon” policy. To enhance the stability and systemic nature of the “Dual Carbon” 1 + N policy framework and to identify the future “Dual Carbon” policy, it is crucial to understand the characteristics of the current layout, content, and structure of “Dual Carbon” policy and to analyze in depth which policy Instruments are used, what goal are achieved, and to whom these policies are applied. Finding the appropriate locations to execute future “Dual Carbon” regulations is also crucial. Based on this, this paper conducts a quantitative analysis of China’s “Dual Carbon” policy, investigates their shortcomings, and suggests targeted relief countermeasures, with the goal of providing theoretical support for the quantitative analysis of China’s “Dual Carbon” policy and other sides of policies and providing workable decision-making references for the design, adjustment, and improvement of China’s “Dual Carbon” 1 + N policy framework.

2 Literature review

“Peak carbon dioxide emissions” refers to the peaking of CO2 emissions, and “carbon neutrality” refers to the positive and negative offsetting of CO2 emissions and removals, according to the UN Intergovernmental Panel on Climate Change (IPCC) report and the worldwide consensus (IPCC, 2018; Wei et al., 2018; Zou et al., 2021). The term “Dual Carbon” has gained significant attention from academics both domestically and internationally. It has also become a major topic of global concern. At this time, the majority of academic study on “Dual Carbon” is concerned with the advancement of technology, evaluation of its impacts, realization pathways, and advancement in practice. Nature examines many suggestions for how China could achieve neutrality before 2060 from significant research organizations that collaborate closely with the government. According to the two research groups, China must first start generating the majority of its electricity from emission-free sources, and then increase the usage of this clean energy wherever it is practical, such as by converting from gasoline-powered cars to electric ones (Mallapaty, 2020). Xiao et al. discussed the importance of AI technology in achieving carbon neutrality in the shipping industry (Xiao et al., 2024). Williams J. H. et al. Developed a roadmap for achieving deep decarbonization in the United States by modeling the energy and industrial systems of the country, simulating in detail the transition paths in a number of industries, including construction, electricity, transportation, and industry. According to research, the United States may attain zero emissions without changing its behavior by gradually increasing energy efficiency, switching to electrical technology, utilizing clean electricity (particularly wind and solar), and installing a tiny quantity of carbon capture equipment (Williams, 2021). By De La et al. Four ET scenarios are created using the Kaya Identity and “gradual” or “rapid” narratives, using Mexico as an example. The findings demonstrate that adhering to RTS moves Mexico one step closer to becoming carbon neutral. A number of tactics are suggested, such as lowering the carbon intensity of the energy supply mix, raising energy efficiency, giving environmental protection top priority, improving activities based on science, and fostering environmental education and awareness (De et al., 2022). Koondhar et al. found that bioenergy consumption could help achieve carbon neutrality (Koondhar et al., 2021). Lee et al. proposed a creative method of waste gasification treatment that could help achieve carbon-neutral cities (Lee et al., 2021). Safi et al. assessed using panel data econometric techniques and found that environmental taxes、credit financing、antitrust exemption and shipping alliances can contribute to achieving carbon neutrality targets in economies (Safi et al., 2021; Xu et al., 2024; Xiao et al., 2024). Abbasi showed that natural resource depletion can provide a significant stimulus to CO2 emissions in the short term through dynamic autoregressive distributed lag (ARDL) models and robustness checks (Abbasi et al., 2021).

Scholars have also performed some research on“Dual Carbon” policy from various angles and using varied methods. Oh et al. contend that Korea’s ability to meet its 2050 carbon neutrality goal will depend on the effectiveness of carbon pricing measures in attracting private climate finance (Oh et al., 2021). Dahal et al. study renewable energy policies using a multilevel perspective (MLP) and semi-structured interviews, and argue that the implementation of renewable energy policies is a key component in achieving carbon neutrality target (Dahal et al., 2018). Hussain et al. constructed a mathematical model of the duo-oligopoly game, and after analyzing various carbon neutral policies, they pointed out that green bonds, carbon taxes, carbon emission allowances, and capacity-sharing modes play a crucial role in carbon neutralization (Hussain and Lee, 2022; Xu et al., 2022). Huang R et al. based on the extended STIRPAT model and LEAP-Beijing model, this paper assesses the key areas and pathways for carbon emissions reduction in Beijing for the period of 2015–2060 under six different policy scenarios. The results show that energy structure upgrading and energy efficiency improvement are the key drivers for the city’s emissions reduction (Huang et al., 2022). Chen et al. quantify the Arctic oil spill event impact with an ensemble framework supported by the analytic network process (ANP) and fuzzy comprehensive evaluation model. The proposed framework provides a novel and reasonable decision-making instrument, which can contribute to the achievement of carbon neutrality in the marine environment (Chen et al., 2022).

Compared with the research on “Dual Carbon” practice and technology, there is still a lack of research on “Dual Carbon” policy, and there is the following room for expansion in the current policy research: First, from the perspective of research methodology, the majority of the current studies are qualitative, concentrating on macro-level and theoretical discussions, while a small number of quantitative studies concentrate on the creation of policy models and the evaluation of the effects. The quantitative study of policy texts, in particular, primarily uses a one-dimensional or two-dimensional analytical framework. Second, the number of samples used in present studies’ quantitative analyses, which use a single policy text as a sample, needs to be increased from the viewpoint of research objectives.

Therefore, this study uses China’s “Dual Carbon” policy as its research subject, employs the content analysis method, builds a three-dimensional framework for policy analysis called “instrument-goal-object” and evaluates the “Dual Carbon” policy released by China’s national and provincial governments. Theoretical support for the quantitative study of “Dual Carbon” policy and other sides of policies may be obtained from the quantitative study of “Dual Carbon” policy, which can also serve as a foundation for the best institutional design of China’s “Dual Carbon”policy. At the same time, it can serve as a significant source of decision-making guidance and practical inspiration for China’s “Dual Carbon” policy, helping to further enhance the “Dual Carbon” 1 + N policy framework".

3 Materials and methods

3.1 Sample selection

Firstly, the policy texts were selected. The sources of the policy texts are the magic weapon of Peking University, Wan fang database, as well as Chinese government website, General Office of the State Council of the People’s Republic of China, official websites of ministries and commissions (e.g., Ministry of Education of the People’s Republic of China, Ministry of Finance of the People’s Republic of China, etc.), and provincial local government websites. Republic of China, etc.) and provincial local government portals (e.g., The People’s Government of Beijing Municipality, Shanghai Municipal People’s Government, etc.). Search by full text, the keywords used were “Dual Carbon”, “Carbon Neutrality”, and “Carbon Peaking”; the policy text collection time was set from 30 September2020, to 31 December2023, with the announcement of the “Dual Carbon” targets as the starting point. Secondly, to ensure the authority, credibility, and representativeness of the selected policy texts, this study adhered to the following principles: (1) Policy texts are officially published opinions, decisions, notifications, plans, work plans, management measures, outlines, etc.; (2) Policy content is closely related to the “Dual Carbon”field; (3) Policy texts clearly state that achieving “Dual Carbon” targets is the policy orientation; (4) Only the latest versions of the same category of policies currently in effect were selected. Finally, according to the above standards and the principle of maximum effort sampling, 176 policy texts were ultimately screened (Table 1), including 23 central “Dual Carbon”policy texts and152 provincial “Dual Carbon”policy texts, covering relevant policies issued by 31 provincial administrative regions excluding Hong Kong, Macao, and Taiwan. The policy texts were numbered one by one in sequence by first central then regional (administrative region codes ascending) and release time (from earliest to latest) to construct a database of China’s “Dual Carbon”policy texts, which serves as the foundation for quantitative analysis of policy texts. The regional distribution statistics of “Dual Carbon”policies show that more policies have been released in regions like Shanghai, Jiangxi, Jiangsu, and Hunan (Figure 1).

Table 1
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Table 1. Summary of “Dual Carbon” policy texts (excerpt).

Figure 1
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Figure 1. Regional distribution of “Dual Carbon” policy in China.

3.2 Construction of “instrument-goal-object” framework

Policy is the process of designing, selecting, and applying various policy instruments by governments. Policy instruments have clear objectives and operational guidance, and the policy instrument dimension focuses on the specific means utilized by the government in the policy process, involving the effectiveness of policy formulation and the operability of policy implementation. Operable policy instruments can help the government guide the development of relevant industries and fields more clearly, to realize the policy goals (Furlan et al., 2018). However, policy instruments cannot characterize the elements or content of policies, and policy analysis based on a single dimension of policy instruments will lead to an incomplete policy analysis. (Yi and Feiock, 2014). To better reflect the means adopted by policies, the process of goal realization, as well as the inherent laws and characteristics of policies, this paper introduces the dimensions of policy goals and policy objects, which are useful to complement the single perspective of policy instruments. The policy goal dimension focuses on the specific goals established in the process of policy formulation and the desired realization effects. Policy goals should be closely related to policy instruments and have clarity to facilitate the assessment of the effectiveness of policy implementation. The policy object dimension focuses on the subjects, industries, and fields targeted by the policy. In the process of policy formulation, the policy object will change according to the different policy goals, and the government needs to choose the appropriate policy object according to the actual situation (Huang et al., 2020). The framework has the following characteristics: (1) Systematic. It can systematically integrate the core elements of the policy process. By focusing on the three key dimensions of policy instruments, goals, and objects, the policy background, formulation process, and implementation effectiveness can be analyzed comprehensively, thus avoiding the one-sidedness caused by research based solely on policy instruments. (2) Coherence. Policy formulation, implementation, and evaluation can be linked together, helping to analyze the interconnections and roles between policies at different stages. By tracking the selection of instruments, target setting, and object positioning of policies in the formulation process, and examining the actual application and impact of these elements in the policy implementation and execution stages, it is possible to more accurately assess the effects of policies, and further understand the completeness and consistency of the policy system. (3) Operationalization. Enables policymakers and practitioners to identify the relationship between policy instruments, goals, and objects, to introduce targeted policy measures, and improve the enforceability, effectiveness, and relevance of policies. (4) Insight ability. Provides policy research with a method for comprehensively sorting out and analyzing policy elements, thus helping to dig deeper into the internal laws and characteristics of policy formulation and implementation. Utilizing this framework, it is possible to better interpret the intentions, policy orientations, and practical effects behind policies, thereby providing insightful views and suggestions for policy improvement and innovation.

3.2.1 Dimension X: policy instrument

The many methods and instruments that governments use to accomplish their goals in terms of public policy are known as policy instruments (Howlett, 1991). The innovation and optimization of policy Instruments can improve the practice of public management, but the premise is to define the sides of policy instruments in a reasonable way (Li and Gu, 2016). McDonnell et al. divide them into four categories: systemic transformation, capacity building, inducing and motivating, and empowering and commanding (McDonnell and Elmore, 1987). Schneider et al. based on the goals of the policy, divide them into five categories: learning, capacity building, authority, motivation, and exhortation (Schneider, 1990). Howlett et al. classify them into three categories: mandatory, mixed, and voluntary, based on the degree of policy intervention (Howlett et al., 1995). Hughes et al. classified government functions into four categories: government supply, production, subsidy, and regulation (Hughes, 2017). The most representative of these is Rothwell and Zegveld’s classification of supply-side, demand-side, and environment-side (Rothwell and Zegveld, 1984). Rothwell and Zegveld’s classification of policy instruments has a more systematic and comprehensive policy analysis viewpoint (Hu et al., 2019), which is relevant given the broad variety of topics covered by “Dual Carbon” policy. Therefore, in order to assess the X dimension of China’s “Dual Carbon” policy, this research utilizes Rothwell and Zegveld’s classification of policy instruments. This study defines the sides of policy instruments from the supply, environment, and demand levels, which are grouped into 12 policy instruments (Table 2).

Table 2
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Table 2. Sides, names, descriptions and sources of policy instruments.

Supply-side refer to the top-down method used by the government to actively influence “Dual Carbon” related domains or links, including talent training, financial support, infrastructure, and information services. The environment-side policy instruments refers to the institutional framework that the government has established to support the development, implementation, monitoring, and direction of“Dual Carbon”policy, including target planning, regulatory control, advocacy guidance, and tax benefits. Demand-side policy instruments, which include government purchases, strategy measures, cooperation and outsourcing, and market control, refer to the efforts made by the government to lessen opposition to the carbon market and boost the vitality of carbon market participants. To achieve the“Dual Carbon”target, multiple policy instruments will interact with one another (Figure 2).

Figure 2
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Figure 2. Interaction between policy instruments.

3.2.2 Dimension Y: policy goal

The desired consequences of policy formulation and implementation, as well as the underlying assumptions and standards for policy implementation and evaluation, define the scope of the decision-making process when choosing policy goals Wang et al. discovered that policy goals are the topics that need to be focused on in the current research on China’s “Dual Carbon” policy through the research on the boundaries of China’s “Dual Carbon” policy. To analyze “Dual Carbon” policy, policy objects are used as the Y dimension in this paper. The “Dual Carbon” target encourage high-quality development that strikes a balance between the benefits to the environment and the economy and seeks to accomplish a thorough ecological, economic, and social green transformation. Based on the above discussion, The ecological, economic, and social green transitions are viewed as the specific evolution and sub-target of the “double carbon” strategic goal based on this and the main layout of the opinions (Table 3).

Table 3
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Table 3. Policy goals and descriptions.

3.2.3 Dimension Z: policy object

Different policy objects have different behavioral characteristics, rights, and responsibilities, which interact with one another in various policy stages, areas, and links and are the requirement and cornerstone for achieving policy functions. Policy objects are the target groups of policy implementation. As a result, the primary element used to describe the policy’s attributes is the policy object. The government, businesses and organizations, and the general people are referred to in this paper as the Z dimensions of the “Dual Carbon” policy analysis framework, which was based on research by Zhang (Zhang et al., 2021) (Table 4).

Table 4
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Table 4. Policy objects and descriptions.

By merging the three dimensions of the “instrument-goal-object” of the policy, a three-dimensional analysis framework of the “Dual Carbon” policy is created based on the analysis and description provided above (Figure 3).

Figure 3
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Figure 3. Three-dimensional framework for analysis of “Dual Carbon” policy.

3.3 Coding process

3.3.1 Coding classification

The first step was to divide the policy texts down into policy clauses, which served as the smallest unit of analysis. Clauses that did not pertain to the article’s subject were eliminated, and the remaining clauses were coded with “policy number - order of policy clauses”; The second step was to carefully examine the policy’s texts and create a preliminary summary of the provisions’ contents. Finally, the policy clauses were categorized into various coding categories to form a complete policy coding framework. The same policy provision may use multiple policy instruments simultaneously, fail to display the goal or object; or achieve multiple objectives concurrently, act on multiple objects concurrently, etc., so that some policy provisions may not cover all dimensions but all cover X dimensions (Table 5).

Table 5
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Table 5. Example of policy texts coding.

3.3.2 Reliability and validity testing

This study conducted a reliability test to ensure sure the coding was of high quality and to strengthen the scientific rigor of the policy texts analysis. According to the coding consistency formula established by Viney: E = 4C/(n1 + n2 + n3 + n4) (Viney, 1983), four academics who are familiar with the “Dual Carbon” target and have a high coding foundation were first permitted to carry out the independent coding checking system. Where n1, n2, n3, and n4 are the number of codes produced by each coder and C is the total number of coders producing the same number of codes. When E [0.8, 0.9] shows that the confidence result is adequate, and when a >0.9 shows strong confidence. The coding results in this research are believable because the confidence value of the results is 0. 84 after calculation. In this study, the policy samples were chosen by conducting a text search and screening against the ten key elements of the ''Opinions'' actions. At the same time, the policy texts were supplemented and gathered in Baidu and other search engines by grouping the names of the central government, ministries, and commissions, as well as the names of the party and government leader agencies in each province, with the search terms. In order to guarantee the accuracy of the policy assessments, the policy texts were also reverse-engineered in terms of the links between policies’ inheritance and citation.

4 Empirical analysis

4.1 One-dimensional linear analysis

4.1.1 Analysis of X dimensional results

In terms of the X dimension (Figure 4), the “Dual Carbon” policy texts use a variety of supply-side, environment-side, and demand-side policy instruments, they are often characterized by strong supply, light environment, and weak demand. Nearly half of them (43.52%) fall within the supply-side category, with the environment coming in second (35.82%) and demand-side (20.67%) falling in third. Financial support (64.14%) is the largest supply-side policy instrument; target planning (33.1%), publicity and guidance (28.28%), and regulation and control (27.01%) are the largest environment-side instrument; market control (37.45%) and government purchases (36.85%) are the largest demand-side instrument. As can be shown, the following characteristics best describe the distribution of policy instrument dimensions: (1) Tax incentives are underemphasized among environmental policy instruments, accounting for only 4.16% of all policy instruments. (2) Tax incentives are underemphasized among supply-side policy instruments, accounting for more than twice as much as demand-side ones. (3) The pulling effect of demand-side policy instruments is weak, with policy synergy (1.93%) accounting for the smallest share of all policy instruments. (4) There is an imbalance in distribution within policy instruments, and a sizable gap between supply and demand. Fourthly, the usage of a single policy instrument is excessive, and the distribution within each policy instrument is unbalanced, talent training is more than ten times more expensive than financial support.

Figure 4
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Figure 4. Distribution of “Dual Carbon” policy goals.

4.1.2 Analysis of Y dimensional results

In terms of the Y dimension (Table 6), the ecological green transformation goals (61.08%) are the most widely distributed, followed by the economic green transformation goals (25.51%), and the social green transformation goals (13.41%) are relatively less widely distributed, with the distribution of the three sides of policy goals being roughly 4.5:1.9:1. This shows that the current emphasis on the social green transformation goals is inadequate. When formulating policies, attention should be paid to the comprehensive promotion of several objectives.

Table 6
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Table 6. Distribution of “Dual Carbon” policy goals.

4.1.3 Analysis of Z dimensional results

In terms of the Z dimension (Table 7), the government, businesses and organizations, and the general public account for 53.72%, 36.47%, and 9.81%, respectively. This accurately reflects the government’s dominant role in the process of achieving the “double carbon” target as the policymaker, overseer, and implementer, acting in a macro-guidance role. However, businesses, organizations, and the general public are also important factors in achieving the “double carbon” target, so it is crucial to develop and enhance the participation mechanism to encourage and direct all different sides of subjects to actively participate in the process of achieving the “double carbon” target.

Table 7
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Table 7. Distribution of “Dual Carbon” policy objects.

4.2 Two-dimensional cross-tabulation analysis

4.2.1 Analysis of X-Y dimensional results

Cross-tabulation analysis of the X-Y dimensions was carried out (Table 8). A total of 2,429 items made up the overall X dimension, whereas 2,305 items made up the cross-coding with the X-Y dimension, showing the existence of numerous policy instruments working on the same goal.

Table 8
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Table 8. Distribution of policy instruments used for “Dual Carbon” goals.

Cross-sectionally, supply-side policy instruments (43.47%) were most effective in achieving the policy goals, followed by environmental-side policy instruments (35.49%) and demand-side policy instruments (21.04%). The three sides of policy instruments that were used the most frequently were financial support, target planning, and government purchases, showing that the government favors promoting the “double carbon” target through various special or green project subsidies, important pilot projects, and regulations.

Cross-vertically, the frequency of ecological transition, economic green transition, and social green transition are 408, 588, and 309, respectively. Figure 3 shows that the government primarily supports the achievement of ecological and economic green transition goals by providing resources like talent, information, and infrastructure; social green transition goals, on the other hand, use more target planning, regulatory controls, and advocacy guidance policy instruments, showing that the government primarily creates awareness of energy conservation and emission reduction in the entire society.

4.2.2 Analysis of X-Z dimension results

Cross-tabulation analysis of the X-Z dimensions was carried out (Table 9). A total of 2,429 items made up the overall X dimension, whereas 2,232 items made up the cross-coding with the X-Z dimension, suggesting there may be several-side acting on the same object.

Table 9
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Table 9. Distribution of policy instruments used by “Dual Carbon” policy objects.

Cross-sectionally, the majority of instruments employed in supply-side (44.09%) are financial support, infrastructure, and information services, with talent training being utilized much less frequently than other instruments (and at a much lower rate overall); A moderate amount of environmental-side (34.77%) are used, with a use ratio of 3.3:1 and a significant difference between target planning and tax benefits. Demand-side (21.15%) made up the smallest percentage, in which market control and government purchases were closely tracked. This shows how highly the government regarded the resource and energy market trading system, as well as green pilots and important initiatives.

Cross-vertically, the most common sides of policies used by businesses, governments, and other organizations are supply-side, followed by environment-side and demand-side. Of the policy sides that are directed at the general public, environment-side account for the largest share (984), while supply-side and demand-side strategies account for the next largest shares (776) and 472, respectively. This is consistent with the roles played by governments, businesses, organizations, and the general public in achieving the “Dual Carbon” target: the government, as the main decision-maker, primarily offers ideological and practical guidance on policy-making, technological research and development, public awareness, etc., but it is also the primary source of carbon dioxide production and emission. One way to promote and direct their engagement in energy-saving and emission-reduction initiatives is to strengthen tax profits. On the other side, China need control, monitor, and assess their behavior in order to foster a positive work environment. For the general public, it is essential to directing citizens’ behavior in daily life through publicity, education, and appropriate acknowledgment, reward, and punishment.

4.2.3 Analysis of Y-Z dimension results

Cross-tabulation analysis of the Y-Z dimensions was carried out (Table 10), The total coding for policy goals and objects was 2,303 and 2,232, respectively, while they were cross-coded with 2,206, indicating the presence of one-to-many and many-to-one relationships.

Table 10
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Table 10. Distribution of “Dual Carbon” policy objects in achieving policy goals.

Inferred from the cross-tabulation data, the policy objects with the highest frequency of response for the government, businesses and organizations, and the general people are, respectively, ecological green transformation, economic green transformation, and social green transformation. The tasks of the government, businesses, and organizations, and the general public in the “Dual Carbon” tracks are aligned with this situation: the government is primarily responsible for resource, environmental, and ecological issues, and focusing on the implementation of ecological green transformation is its top priority; Businesses and organizations are more concerned with enhancing economic efficiency and lowering the costs associated with energy conservation and emission reduction due to their role in pursuing economic benefits and development; consequently, policies for businesses and organizations place a focus on achieving the goals of economic green transformation, such as industrial upgrading, innovation in the green financial system, and optimization of the energy structure; Since the public is the driving force behind the social green transition, encouraging and enabling them to actively participate in ecological and environmental sustainability is essential to accomplishing the “Dual Carbon” target.

4.3 Results of the three-dimensional cross-tabulation analysis

Cross-tabulation analysis of the X-Y-Z dimensions (Table 11), discovered that there were significant disparities in the kinds of policy instruments that acted on various policy objects and were put into place in response to various policy goals. Among the policies to achieve the goal of ecological green transformation, supply-side acting on the government, businesses, and organizations are more frequently used, whereas the public uses environmental-side more frequently; among the policies to achieve the goal of economic green transformation, the policies acting on the three sides of objects are concentrated on the supply-side; among the policies to achieve the goal of social green transformation, the supply-side affecting the government are more frequent, whereas the environmental-side affecting businesses, organizations, and the general public are more prevalent. It is evident that the supply-side have a stronger influence and penetration power on governments, businesses, and organizations; the environmental-side have a stronger influence and penetration power on the public to achieve social green transformation, and the pulling power of the demand-side needs to be strengthened.

Table 11
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Table 11. Use of “Dual Carbon” policy instruments by policy objects to achieve policy goals.

5 Discussion

5.1 The analysis of results

5.1.1 Differences in the popularization and implementation of provincial “Dual Carbon” policies

Currently, China’s local “Dual Carbon”” policy system is in its infancy. As of 31 December 2023, 31 provincial-level administrative regions, excluding Hong Kong, Macao, and Taiwan, have issued relevant policies. Among them, Shanghai (13), Jiangxi (12), Jiangsu (10), and Hunan (8) have issued a relatively large number of policies, indicating that these provinces have a high awareness of the need to take action to address climate change and to achieve the goals of carbon peaking and carbon neutrality, as well as strong policy implementation. These regions tend to have heavier responsibilities for carbon emissions, and the effect of policy implementation is of great significance to the realization of the “Dual Carbon” target of the country as a whole. Hubei and Tibet, on the other hand, have only issued one special policy on carbon emissions, reflecting the relatively low level of resource investment and policy attention in the formulation and implementation of carbon policies in these regions. These regions may need to strengthen their efforts in policy development and implementation in order to maintain overall synchronized progress with the achievement of the national “Dual Carbon”“target.

5.1.2 Uneven distribution of policy instruments and internal and external disproportionality

It is found that the supply-side policy instruments account for a relatively high proportion (43.52%), followed by the environment-side (35.82%), and the demand-side policy instruments (20.67%) are relatively low. Demand-side policy instruments are seriously insufficient, and the gap between the use of the other two sides of policy instruments is large; internally, there is a polarized phenomenon of overflow and serious underuse of policy instruments, with only the three sides of policy instruments of financial support, target planning and publicity and guidance accounting for 50% of all policy instruments, but the four sides of talent cultivation, tax incentives, policy synergies and exchange platforms account for a total of only 11.9%. Among environment-oriented policy instruments, tax incentives account for only 4.16% of all policy instruments, indicating that insufficient attention is paid to tax incentives.

5.1.3 Incomplete coverage of policy goals and shortcomings in layout

Statistically, the ratio of policy provisions covering the three sides of policy goals is 4.6:1.9:1, which indicates that the current focus on the goal of a green transformation of society is insufficient. To advance multiple goals simultaneously, policymakers should consider increasing the attention paid to the goal of a green societal transition to ensure that policy goals are holistic and comprehensive.

5.1.4 The combined role of policy objects is underutilized

Through statistics, it is found that the policies that act on the government are overused, accounting for a total of 52.72%, enterprises and organizations for 36.47%, and the public for 9.81%. This indicates that the current policy text lacks mechanisms and institutions for enterprises organizations and the public to participate in “Dual Carbon”” actions, resulting in a distribution pattern in which multiple parties are not able to participate, and causing resistance to the “Dual Carbon”” implementation path of synergistic participation by multiple actors.

5.1.5 Low degree of matching between policy dimensions

The key to achieving a balanced match between policy instruments, policy goals, and policy objects is improving the high degree of coupling of policy instruments with multiple objects and goals and expanding the comprehensiveness of the coverage of the three main sides of instruments with policy objects and policy goals. To bring into play the cross-cutting effects and strengthen the scientific nature of the “Dual Carbon” policy, the synergistic use of supply-side, demand-side, and environment-side should be encouraged. Policies should also be applied precisely and effectively to the government, society, organizations, and the public following the pattern of ecological, economic, and social development.

5.2 Policy recommendations for the government

5.2.1 Strengthening the popularization and implementation of “Dual Carbon”” policies nationwide

In response to the results of the analysis, it is necessary to strengthen the popularization of the “Dual Carbon”” policy nationwide, improve the implementation of the policy, and encourage local governments to formulate and adjust policy measures according to the actual situation. At the same time, it is necessary to promote cross-regional policy experience sharing and cooperation, facilitate policy transparency and communication, and establish an effective multi-party collaboration mechanism. In addition, monitoring and evaluation of policy implementation should be strengthened, and a comprehensive performance evaluation system for policy implementation should be established to ensure that the effectiveness of regional “Dual Carbon”” policies is clearly and comprehensively assessed. The combined application of these recommendations will help to improve the promotion and implementation of regional “Dual Carbon”” policies in China and facilitate the formation of a favorable atmosphere for national policy implementation.

5.2.2 Adjusting the structure of policy instruments to realize the combined effect

Through analysis, it is found that the current sides of “Dual Carbon”” policy instruments are characterized by strong supply, light environment, and weak demand. Although the supply-side policy instruments account for a large proportion of the policy instruments and provide strong support for the realization of the “Dual Carbon”” goal, the insufficiency of demand-side policy instruments also restricts the policy effect. To balance the configuration of policy instruments, it is necessary to adjust the external and internal structure of policy instruments, to form a combination effect of “Dual Carbon”” policies and play a clustering role. In addition, we note that green tax incentives are relatively underutilized among environmental policy instruments. To unleash their incentive potential, policymakers should pay more attention to and implement green tax incentives and other preferential policies to create a market environment conducive to carbon emission reduction.

5.2.3 Optimizing the layout of policy goals and enhancing the comprehensiveness of policies

In terms of policy goals, the ecological green transformation goal is more prominent, while the attention to the social green transformation goal needs to be improved. In the future, attention to policies for realizing social green transformation goals should be increased, focusing policies on establishing a green public service system and carrying out green education for all, establishing and improving the support system for urban and rural residents to live green, strengthening citizens’ low-carbon beliefs, and cultivating public low-carbon consumption behavior. In addition, policies for regulating and punishing behaviors that harm the ecological environment need to be increased, and a strategy combining incentives and guidance with punishment needs to be adopted, to Form a healthy and orderly policy environment.

5.2.4 Strengthen the synergy of policy objects and consolidate the support system of policies

Regarding policy objects, the results show that the government, enterprises, and organizations account for a relatively large proportion, but the public accounts for a relatively small proportion. We propose to build and improve a multi-participation mechanism to encourage and guide enterprises, organizations, and the public to participate in achieving the “Dual Carbon”” goal. First, at the level of enterprises and organizations, policies should be focused on stimulating the participation of enterprises and organizations in energy saving and emission reduction activities, strengthening the financial and tax support for enterprises to participate in energy saving and emission reduction activities; increasing the intensity of government projects and government purchasing; improving the carbon trading market mechanism and green financial system; introducing the Interim Regulations on the Administration of Carbon Emission Trading to regulate the behavior of enterprises and the market order; and encouraging colleges, universities, and scientific research institutions to carry out research and development of green and low-carbon technologies and accelerating the transformation of scientific and technological achievements. Technology research and development and accelerate the transformation of scientific and technological achievements. Secondly, at the public level, we should explore innovative policies for public participation in energy conservation and emission reduction activities, build a national action system to promote the greening of lifestyles, and formulate corresponding commendations, rewards, and penalties, to guide citizens’ behavior and turn low-carbon concepts into conscious actions by the public.

5.2.5 Improving the coupling and coverage of policy matching to leverage cross-cutting effects

According to the two-dimensional and three-dimensional cross-tabulation analysis, we find that there are obvious differences between policy instruments across policy goals and objects. It is recommended to improve the high degree of coupling of policy instruments with multiple objects and goals and to expand the comprehensiveness of the coverage of the three major sides of instruments with policy objects and policy goals. The synergistic use of supply-side, demand-side, and environmental-side policy instruments should be promoted, and policies should be applied accurately and efficiently to the government, society, organizations, and the public following the pattern of ecological, economic and social development, to give full play to the cross-cutting effects and enhance the scientific nature of the “Dual Carbon” policy.

6 Conclusion

Based on the three-dimensional analysis framework of policy instruments, goals and objects, this paper selects 203 “Dual Carbon” policy texts, carries out a multi-dimensional quantitative analysis of “Dual Carbon” policy, and puts forward targeted relief strategies, which is not only of innovative significance in expanding the orientation of theoretical research, but also of practical value in optimizing the purpose of practical governance. The number of strategies is rather small because the “Dual Carbon”target plan has only been available for 2 years. We will continue to expand the samples of policy analyses and integrate them with the logic of policy evolution to better understand how China’s “Dual Carbon” policy framework is evolving and how policy effects are manifesting going forward. We will keep expanding the sample of policy analyses and conduct ongoing, multi-dimensional research and explorations by fusing the logic of policy evolution, policy system, and policy effectiveness in the future with the continuous improvement of China’s “Dual Carbon” policy system and the further manifestation of policy effects.

Author contributions

ZJ: Writing–original draft. HF: Supervision, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Social Science Foundation of China General Project (2022): Research on the Intelligence Support System for Self-reliance and Self-strengthening in Science and Technology Innovation (No. 22BTQ065).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2024.1418253/full#supplementary-material

References

Abbasi, K. R., Hussain, K., Radulescu, M., and Ozturk, I. (2021). Does natural resources depletion and economic growth achieve the carbon neutrality target of the UK? A way forward towards sustainable development. Resour. Policy 74, 102341. doi:10.1016/j.resourpol.2021.102341

CrossRef Full Text | Google Scholar

Chen, X., Liu, S., Liu, R. W., Wu, H., Han, B., and Zhao, J. (2022). Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model. Ocean Coast. Manag. 228, 106326. doi:10.1016/j.ocecoaman.2022.106326

CrossRef Full Text | Google Scholar

Dahal, K., Juhola, S., and Niemelä, J. (2018). The role of renewable energy policies for carbon neutrality in Helsinki Metropolitan area. Sustain. cities Soc. 40, 222–232. doi:10.1016/j.scs.2018.04.015

CrossRef Full Text | Google Scholar

De la Pena, L., Guo, R., Cao, X., Ni, X., and Zhang, W. (2022). Accelerating the energy transition to achieve carbon neutrality. Resour. Conservation Recycl. 177, 105957. doi:10.1016/j.resconrec.2021.105957

CrossRef Full Text | Google Scholar

De Vries, S. (2021). The power of procedural policy tools at the local level: Australian local governments contributing to policy change for major projects. Policy Soc. 40 (3), 414–430. doi:10.1080/14494035.2021.1955471

CrossRef Full Text | Google Scholar

Furlan, E., Torresan, S., Ronco, P., Critto, A., Breil, M., Kontogianni, A., et al. (2018). Tools and methods to support adaptive policy making in marine areas: review and implementation of the Adaptive Marine Policy Toolbox. Ocean Coast. Manag. 151, 25–35. doi:10.1016/j.ocecoaman.2017.10.029

CrossRef Full Text | Google Scholar

Guan, Y., Shan, Y., Huang, Q., Chen, H., Wang, D., and Hubacek, K. (2021). Assessment to China's recent emission pattern shifts. Earths Future 9 (11), e2021EF00224. doi:10.1029/2021EF002241

CrossRef Full Text | Google Scholar

Howlett, M. (1991). Policy instruments, policy styles, and policy implementation: national approaches to theories of instrument choice. Policy Stud. J. 19, 1–21. doi:10.1111/j.1541-0072.1991.tb01878.x

CrossRef Full Text | Google Scholar

Howlett, M., Ramesh, M., and Perl, A. (1995). Studying public policy: policy cycles and policy subsystems. Toronto: Oxford University Press, 223–231.

Google Scholar

Hu, F., Qi, X. N., and Wang, X. Y. (2020). Quantitative evaluation of robot industry policies based on PMC index model: taking eight robot industry policies intelligence as an example. J. Intell. 39, 121–129. (In Chinese). doi:10.3969/j.issn.1002-1965.2020.01.017

CrossRef Full Text | Google Scholar

Hu, F., Zhang, W. W., and Cao, P. F. (2019). Research on policies of robot industry in the Yangtze river delta based on policy instruments. Sci. Technol. Manag. Res. 39, 174–183. doi:10.3969/j.issn.1000.7695.2019.04.025

CrossRef Full Text | Google Scholar

Hu, X., Zhang, H., Ma, D., Wang, R., Wang, T., and Xie, X. (2021). Real-time leak location of long-distance pipeline using adaptive dynamic programming. IEEE Trans. Neural Netw. Learn. Syst. 34 (10), 7004–7013. doi:10.1109/tnnls.2021.3136939

CrossRef Full Text | Google Scholar

Huang, R., Zhang, S., and Wang, P. (2022). Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets. Energy Policy 164, 112873. doi:10.1016/j.enpol.2022.112873112873

CrossRef Full Text | Google Scholar

Huang, X. P., Huang, Z., and Su, J. (2020). Textual and quantitative research on Chinese science and technology finance development policies based on policy instruments. J. Intell. 39, 130–137. doi:10.3969/j.issn.1002-1965.2020.01.018

CrossRef Full Text | Google Scholar

Hughes, O. E. (2017). Public management and administration. London: Bloomsbury Publishing, 112–113.

Google Scholar

Hussain, J., and Lee, C. C. (2022). A green path towards sustainable development: optimal behavior of the duopoly game model with carbon neutrality instruments. Sustain. Dev. 30 (6), 1523–1541. doi:10.1002/sd.2325

CrossRef Full Text | Google Scholar

IEA50 (2024). CO2 emissions in 2023. Paris: International Energy Agency, 3. Available at: https://www.iea.org/reports/co2-emissions-in-2023 (Accessed March 15, 2024).

Google Scholar

IPCC (2018). “Summary for policymakers,” in Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above preindustrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. UK and (New York: Cambridge University Press), 3–24.

Google Scholar

Jiang, B., and Raza, M. Y. (2023). Research on China's renewable energy policies under the Dual Carbon goals: a political discourse analysis. Energy Strategy Rev. 48, 101118. doi:10.1016/j.esr.2023.101118

CrossRef Full Text | Google Scholar

Kang, J. Y. (2019). Convergence of family policy across welfare regimes (1990 to 2010): different connotations of family policy expansion. Int. J. Soc. Welf. 28 (2), 167–178. doi:10.1111/ijsw.12331

CrossRef Full Text | Google Scholar

Koondhar, M. A., Tan, Z., Alam, G. M., Khan, Z. A., Wang, L., and Kong, R. (2021). Bioenergy consumption, carbon emissions, and agricultural bioeconomic growth: a systematic approach to carbon neutrality in China. J. Environ. Manag. 296, 113242. doi:10.1016/j.jenvman.2021.113242

CrossRef Full Text | Google Scholar

Lee, R. P., Seidl, L. G., Huang, Q., and Meyer, B. (2021). An analysis of waste gasification and its contribution to China's transition towards carbon neutrality and zero waste cities. J. Fuel Chem Technol 49 (8), 1057–1076. doi:10.1016/s1872-5813(21)60093-2

CrossRef Full Text | Google Scholar

Li, C., Xia, W., and Wang, L. (2023). Synergies of green policies and their pollution reduction effects: quantitative analysis of China's green policy texts. J. Clean. Prod. 412, 137360. doi:10.1016/j.jclepro.2023.137360

CrossRef Full Text | Google Scholar

Li, H., Dong, X., Jiang, Q., and Dong, K. (2021). Policy analysis for high-speed rail in China: evolution, evaluation, and expectation. Transp. Policy 106, 37–53. doi:10.1016/j.tranpol.2021.03.019

CrossRef Full Text | Google Scholar

Li, H., Wei, X., and Gao, X. (2021). Objectives setting and instruments selection of circular economy policy in China's mining industry: a textual analysis. Resour. Policy 74, 102410. doi:10.1016/j.resourpol.2021.102410

CrossRef Full Text | Google Scholar

Li, J., and Gu, S. J. (2016). Research on charity of China under the perspective of policy instruments: take the charity by state council ai an example. China Adm. 4, 34–39. doi:10.3782/j.issn.1006-0863.2016.04.05

CrossRef Full Text | Google Scholar

Liao, Z. (2016). The evolution of wind energy policies in China (1995–2014): an analysis based on policy instruments. Renew. Sustain. Energy Rev. 56, 464–472. doi:10.1016/j.rser.2015.11.097

CrossRef Full Text | Google Scholar

Lu, Y. N. (2022). Good start for “dual carbon” work. People's Dly. 9, 23. (In Chinese). doi:10.28655/n.cnki.nrmrb.2022.010642

CrossRef Full Text | Google Scholar

Ma, D., Hu, X., Zhang, H., Sun, Q., and Xie, X. (2019). A hierarchical event detection method based on spectral theory of multidimensional matrix for power system. IEEE Trans. Syst. Man, Cybern. Syst. 51 (4), 2173–2186. doi:10.1109/tsmc.2019.2931316

CrossRef Full Text | Google Scholar

Ma, D., Li, Y., Hu, X., Zhang, H., and Xie, X. (2021). An optimal three-dimensional drone layout method for maximum signal coverage and minimum interference in complex pipeline networks. IEEE Trans. Cybern. 52 (7), 5897–5907. doi:10.1109/tcyb.2020.3041261

CrossRef Full Text | Google Scholar

Mallapaty, S. (2020). How China could be carbon neutral by mid-century. Nature 586, 482–483. doi:10.1038/d41586-020-02927-9

PubMed Abstract | CrossRef Full Text | Google Scholar

McDonnell, L. M., and Elmore, R. F. (1987). Getting the job done: alternative policy instruments. Educ. Eval. policy analysis 9, 133–152. doi:10.2307/1163726

CrossRef Full Text | Google Scholar

Meng, J. H., and Wang, J. (2023). The policy trajectory of dual-use technology integration governance in China: a sequential analysis of policy evolution. Technol. Soc. 72, 102175. doi:10.1016/j.techsoc.2022.102175

CrossRef Full Text | Google Scholar

Oh, H., Hong, I., and Oh, I. (2021). South Korea’s 2050 carbon neutrality policy. East Asian Policy 13 (01), 33–46. doi:10.1142/s1793930521000039

CrossRef Full Text | Google Scholar

Rothwell, R., and Zegveld, W. (1984). An assessment of government innovation policies. Rev. Policy Res. 3, 436–444. doi:10.1111/j.1541-1338.1984.tb00138.x

CrossRef Full Text | Google Scholar

Safi, A., Chen, Y., Wahab, S., Zheng, L., and Rjoub, H. (2021). Does environmental taxes achieve the carbon neutrality target of G7 economies? Evaluating the importance of environmental R&D. J. Environ. Manag. 293, 112908. doi:10.1016/j.jenvman.2021.112908

CrossRef Full Text | Google Scholar

Schneider, A., and Ingram, H. (1990). Behavioral assumptions of policy tools. J. Polit. 52, 510–529. doi:10.2307/2131904

CrossRef Full Text | Google Scholar

The Paris Agreement (2015). United Nations climate change. Available at: https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (Accessed March 18, 2024).

Google Scholar

Viney, L. L. (1983). The assessment of psychological states through content analysis of verbal communications. Psychol. Bull. 94 (3), 542–563. doi:10.1037/0033-2909.94.3.542

CrossRef Full Text | Google Scholar

Wei, Y. M., Han, R., Liang, Q. M., Yu, B. Y., Yao, Y. F., Xue, M. M., et al. (2018). An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C 3 IAM. Nat. Hazards 92, 585–618. doi:10.1007/s11069-018-3297-9

CrossRef Full Text | Google Scholar

Williams, J. H., Jones, R. A., Haley, B., Kwok, G., Hargreaves, J., Farbes, J., et al. (2021). Carbon-neutral pathways for the United States. AGU Adv. 2 (1), e2020AV000284. doi:10.1029/2020AV000284

CrossRef Full Text | Google Scholar

Xiao, G., Wang, T., Shang, W., Shu, Y., Biancardo, S. A., and Jiang, Z. (2024). Exploring the factors affecting the performance of shipping companies based on a panel data model: a perspective of antitrust exemption and shipping alliances. Ocean Coast. Manag. 253, 107162. doi:10.1016/j.ocecoaman.2024.107162

CrossRef Full Text | Google Scholar

Xiao, G., Yang, D., Xu, L., Li, J., and Jiang, Z. (2024). The application of artificial intelligence technology in shipping: a bibliometric review. J. Mar. Sci. Eng. 12 (4), 624. doi:10.3390/jmse12040624

CrossRef Full Text | Google Scholar

Xie, H., Wen, J., and Choi, Y. (2021). How the SDGs are implemented in China—a comparative study based on the perspective of policy instruments. J. Clean. Prod. 291, 125937. doi:10.1016/j.jclepro.2021.125937

CrossRef Full Text | Google Scholar

Xu, L., Luo, Y., Chen, J., and Zhou, S. (2024). Capacity prioritization allocation and credit financing option in shipping freight forwarding market. Comput. Industrial Eng. 189, 109987. doi:10.1016/j.cie.2024.109987

CrossRef Full Text | Google Scholar

Xu, L., Xie, F., and Wang, C. (2022). Passive or proactive capacity sharing? A perspective of cooperation and competition between two regional ports. Marit. Policy and Manag. 49 (4), 492–509. doi:10.1080/03088839.2021.1876938

CrossRef Full Text | Google Scholar

Yi, H., and Feiock, R. C. (2014). Renewable energy politics: policy typologies, policy tools, and state deployment of renewables. Policy Stud. J. 42 (3), 391–415. doi:10.1111/psj.12066

CrossRef Full Text | Google Scholar

Yue, X., Mu, K., and Liu, L. (2020). Selection of policy instruments on integrated care in China: based on documents content analysis. Int. J. Environ. Res. public health 17 (7), 2327. doi:10.3390/ijerph17072327

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., and Liu, Y. (2016). Analysis of new energy vehicles industry policy in China's cities from the perspective of policy instruments. Energy Procedia 104, 437–442. doi:10.1016/j.egypro.2016.12.074

CrossRef Full Text | Google Scholar

Zhang, Y. K., Wang, Y. J., Yang, C., and Xiang, J. Y (2021). Research on carbon-neutral policy system based on three-dimensional analysis framework. Glob. Energy Interconnect. 4, 549–559. doi:10.19705/j.cnki.issn2096-5125.2021.06.004

CrossRef Full Text | Google Scholar

Zou, C., Xue, H., Xiong, B., Zhang, G., Pan, S., Jia, C., et al. (2021). Connotation, innovation and vision of “carbon neutrality”. Nat. Gas. Ind. B 8 (5), 523–537. doi:10.1016/j.ngib.2021.08.009

CrossRef Full Text | Google Scholar

Keywords: environmental sustainability, “Dual Carbon” policy, quantitative analysis, policy instrument, policy goal, policy object

Citation: Jing Z and Feng H (2024) Selection and application of China environmental sustainability policy instrumental: a quantitative analysis based on “Dual Carbon” policy text. Front. Environ. Sci. 12:1418253. doi: 10.3389/fenvs.2024.1418253

Received: 16 April 2024; Accepted: 29 May 2024;
Published: 14 June 2024.

Edited by:

Tian Tang, Florida State University, United States

Reviewed by:

Guangnian Xiao, Shanghai Maritime University, China
Xuguang Hu, Northeastern University, China

Copyright © 2024 Jing and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhai Jing, zhaijing@st.gxu.edu.cn; Hu Feng, hd3024985211@126.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.