Chinese Journal of Population Resources and Environment最新文献

{"title":"Quantitative evaluation of the green production and consumption policies in China","authors":"Zhengxin Wang ,&nbsp;Yueqi Jv ,&nbsp;Minghuan Shou ,&nbsp;Gang Peng","doi":"10.1016/j.cjpre.2022.06.010","DOIUrl":"10.1016/j.cjpre.2022.06.010","url":null,"abstract":"<div><p>Dual control of energy consumption is an effective method proposed in China to launch and deepen the transition in energy use. It has obtained favorable results; however, the resource consumption and pollution emissions per unit of Gross Domestic Product (GDP) remain high. This article quantitatively studies the current policies’ effects to promote the advancement of dual control of energy consumption and develop future policies. Green production and consumption policies promote the development of dual control of energy consumption; therefore, this paper examines these policies through text mining and a quantitative evaluation system. The results suggest strong state demand for developing green production and consumption and the necessity for scientific evaluation; however, the state’s focus on the relevant policy tools is imbalanced. Constraint policy tools have the highest proportion of restricting pollutant emissions but lack comprehensiveness. Incentive and guidance policy tools have the problems of poor targets and low volume. Additionally, by constructing policy modeling consistency (PMC) index models for evaluating green production and consumption policies, six selected policies indicate solid performance, but some still have problems regarding policy timeframe, policy function, and green process. Based on the conclusions, this paper provides some targeted recommendations.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000560/pdfft?md5=4e0c9a21616b2ed9331b099d6cfbadcf&pid=1-s2.0-S2325426222000560-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88759577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the digital economy contribute to carbon emissions reduction? A city-level spatial analysis in China","authors":"Jun Wang,&nbsp;Xi Luo,&nbsp;Jie Zhu","doi":"10.1016/j.cjpre.2022.06.001","DOIUrl":"10.1016/j.cjpre.2022.06.001","url":null,"abstract":"<div><p>The rapid development of the digital economy provides an unprecedented opportunity for China to achieve carbon neutrality by 2060. While previous studies have explored the relationship between the digital economy, digital technologies, and energy, the impact of the digital economy on carbon emissions has not received sufficient attention in the literature. Meanwhile, although cities are the basic units for carbon emission reduction policies, few studies have explored carbon emissions at the city level in China. This study investigates the spatial correlation and spillover effects of the digital economy development on carbon emission reduction in 248 prefecture-level cities in China from 2011 to 2019. The proposed approach relies on <em>Moran</em>’<em>s I</em> test and the spatial Durbin model (SDM). First, the study’s results show that carbon emissions are more severe in industry-intensive cities in northeast and central China than in the eastern coast during the sample period. Second, the development of the digital economy is conducive to reducing carbon emissions. Third, <em>Moran</em>’<em>s I</em> and SDM tests find that the digital economy has a significant spatial effect on carbon emissions, with a close spatial connection between cities. Based on the above findings, this study offers relevant policy recommendations and suggestions for realizing China's carbon neutrality goal.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S232542622200047X/pdfft?md5=0697e446a4d5d21c16e5a0f90acb7ce5&pid=1-s2.0-S232542622200047X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73163069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of cooperation equilibrium of participants in power battery recycling chains considering information barrier","authors":"Yanhong Gao ,&nbsp;Youdi Liu ,&nbsp;Zhixiong Tan ,&nbsp;Zhendong Li","doi":"10.1016/j.cjpre.2022.06.006","DOIUrl":"10.1016/j.cjpre.2022.06.006","url":null,"abstract":"<div><p>In the era of large-scale retirement of power batteries, there are information barriers and high recovery costs in their recycling. In view of this, in this study we constructed a tripartite evolutionary game model of the cooperation between power battery production and recycling enterprises and government participation. We analyzed the strategic choice of the three parties in the process of power battery recycling and simulated the influence of participants' willingness and information barriers on the strategic choices of the parties. The results showed that power battery production and recycling enterprises, and the government are affected by each other's willingness to participate at different degrees. The willingness of power battery manufacturers and recycling enterprises to cooperate with each other decreased with increases in information barriers.By analyzing the impact of information barrier on power battery recycling, some suggestions are put forward to provide decision-making reference for promoting the sustainable development of power battery industry.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000523/pdfft?md5=b644e61f3b94266f4492d81ff4884775&pid=1-s2.0-S2325426222000523-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82131319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of human capital on energy consumption: Evidence from an extended version of STIRPAT framework","authors":"Yajun Wang,&nbsp;Junbing Huang,&nbsp;Xiaochen Cai","doi":"10.1016/j.cjpre.2022.06.004","DOIUrl":"10.1016/j.cjpre.2022.06.004","url":null,"abstract":"<div><p>Human capital is an important aspect of energy consumption, exerting crucial effects on economic growth, technological progress, and economic restructuring. This paper presents an in-depth investigation of the effect of human capital on energy consumption using an extended version of the Stochastic Impacts by Regression on Population, Affluence, and Technology framework. The estimated results using a panel dataset covering China’s 30 provincial regions during the period 1997–2018 and applying fixed effects with instrumental variables and the generalized method of moments indicated that an increase in human capital significantly drove energy consumption. A 1% increase in human capital increased energy consumption by approximately 0.3%. A two-step channel analysis to test scale, technical, and structural effects revealed that the positive effect of human capital on energy consumption is based primarily on the scale effect. However, highly educated human capital alleviates the energy pressure of this effect. In contrast to the scale effect, both the technical and structural effects of human capital reduced energy consumption, and this reduction is primarily correlated with enterprises’ utility-oriented technological progress. Finally, we present strategic energy control policy implications related to human capital.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S232542622200050X/pdfft?md5=703b4056d640cf56f136094048b39f39&pid=1-s2.0-S232542622200050X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85152395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of environmental absorption capacity on PM2.5 concentration in China","authors":"Lin Li ,&nbsp;Jinhua Cheng ,&nbsp;Beidi Diao","doi":"10.1016/j.cjpre.2022.06.009","DOIUrl":"10.1016/j.cjpre.2022.06.009","url":null,"abstract":"<div><p>Air pollution, especially fine particulate matter (PM_2.5) pollution, has a great negative impact on human production and normal life. It is a hot issue of global concern, and it is also a huge test for China’s high-quality socioeconomic development. Environmental absorption capacity (EAC) is the guarantee of the structure and function of a healthy atmospheric environmental system. It plays an important role in the automatic accommodation, absorption, and digestion of air pollutants produced by humans in the process of industrialization and civilization. Understanding the absorption capacity of environmental elements on PM_2.5, and exploring the impact of EAC on PM_2.5 concentration are of great significance to the development of new ideas for air pollution control. This paper constructed an index system to calculate the EAC index from two dimensions (natural resource endowment and impact of human activities), analyzed and discussed the impact of EAC on PM_2.5 concentration and its heterogeneity effect through panel regression model, generalized panel quantile regression based on MCMC optimization and scenario analysis, by using the panel data of 30 provinces in China from 2004 to 2017. The results suggested that: (i) The overall level of national EAC was low, and the regional differences were large. EAC was influenced by natural resource endowment and human activities, while natural endowment was the main factor affecting EAC, and human activities were the main factor causing the fluctuation and the regional difference of EAC. (ii) As the result of full sample regression demonstrated, the enhancement of EAC had a significant negative influence on the reduction of PM_2.5 concentration. In areas with high PM_2.5 concentration, the effect of EAC was more obvious, but the effect did not necessarily increase with the increase of PM_2.5 concentration. Also, in extreme cases, the effect did not pass the significance test. (iii) According to the results of heterogeneity effect analysis, the effect of EAC on PM_2.5 concentration was significantly negative in sustainable scenario and emergency scenario, while the effect was not significant in Soylent Green scenario. The conclusion provides important implications for the prevention and control of air pollution and the improvement of atmospheric environmental quality.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000559/pdfft?md5=6297a938ffbf624ad3db5f68a6b833eb&pid=1-s2.0-S2325426222000559-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83822657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution paths of green economy modes and their trend of hypercycle economy","authors":"Zhiguang Zhang","doi":"10.1016/j.cjpre.2022.03.001","DOIUrl":"10.1016/j.cjpre.2022.03.001","url":null,"abstract":"<div><p>So far there is a lack of specialized research on the entire path and the law of the evolution of green economy modes, especially studies on its future trend. Some studies have been done only on its sub-process, in which there are some shortcomings such as overlapping and incomplete classification of economy modes, as well as the lack of mechanism models to describe the modes. This paper attempts to solve those problems. Firstly, various green economy modes are extracted and classified, and then their evolution paths are identified and reviewed, according to sustainable development theory, hypercycle theory, etc., and to practical investigation. Secondly, theoretical models for each green economy mode and their multilevel dynamic evolution models in a practical field (forestry as an example) are established by the modeling method of system structure. Finally, the evolution law of green economy mode is analyzed systematically by means of the above-mentioned models. According to the research, some conclusions are drawn as follows: First, green economy modes have evolved through three stages as a whole. The first is the start-up stage, in which the mode is the ‘from cradle to grave’ end-treatment green economy (GE-I). The second is the growth stage, in which the mode is the ‘from cradle to cradle’ resources-chain closed-loop green economy (GE-Ⅱ). The third is the mature stage, in which the mode will be the ‘from breeding to breeding ‘three-chain hypercycle economy (GE-Ⅲ). Second, GE-Ⅱ has evolved through a specific process. In depth, the basic framework of GE-Ⅱ is based on the circular economy theory; and then it is combined gradually with some other relevant theories and technologies that are cleaner production, low-carbon economy and sharing economy and so on. In breadth, GE-Ⅱ is expanded layer by layer from unified enterprise GE-Ⅱ to diversified enterprise ( or cluster) GE-Ⅱ, and to societal GE-Ⅱ. The operational principle of GE-Ⅱ can be described by 3R theoretical model that includes 3 subsystems of reduction, recycle and reuse (3R), which are connected into an organic whole by resources chain. Third, GE-Ⅲ is evolving through a specific process of three-chain (3C) stage by stage expansion, from resources-chain primary hypercycle to eco-chain secondary hypercycle, and to value-chain tertiary hypercycle. The operational principle of GE-Ⅲ can be described by 5R-3C theoretical model that includes 5 subsystems of reduction, recycle, reuse, recultivation and reallocation (5R) , which are connected into an environment-economy self-organizing system by resources chain, ecochain and value chain. In the system, resources chain is the foundation, eco-chain is the support, and value chain is the impetus. The 3C hypercycle promotes and catalyze each other to realize mutualism between ecosystem and industrial system. Fourth, the related field of GE-Ⅲ includes the principal part of renewable-resource-based industry, and the expanded part of other relev","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000304/pdfft?md5=be92144d2ba70ea45ace11301bb87cd1&pid=1-s2.0-S2325426222000304-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79821056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Air pollution and the domestic value-added for Chinese exporters","authors":"Yan Du ,&nbsp;Fangzhou Cao ,&nbsp;Jie Yan ,&nbsp;Mao Zhou","doi":"10.1016/j.cjpre.2022.03.003","DOIUrl":"10.1016/j.cjpre.2022.03.003","url":null,"abstract":"<div><p>This paper evaluates the causal effect of air pollution on the share of domestic value-added in exports for Chinese exporters. Precipitation is employed as an instrument for air pollution to alleviate the endogeneity. Our baseline instrument variable estimation identifies a significant and negative effect of air pollution on the share of domestic value added in exports. Specifically, each 1 mg/m³ increase in yearly PM_2.5 exposure is associated with 3.144 7 units decrease of the domestic value-added rate of firms’ exports.This result holds when wind speed,air flow index and thermal inversions are used as alternative instruments. Further, it is shown that air pollution is detrimental to the health of employees, and also has negative effect on firms’ productivity as well as firms’innovation capacity. All of these may have a negative effect on domestic production and therefore reduce the share of value added done domestically. Lastly, greater effect is found for the central region, the east of Hu Huanyong line, cities of low altitude and high pressure, and also for foreign-invested firms. This paper provides empirical evidence that air pollution may affect the organization of global production, i.e., the share of domestic value added in Chinese exports, and it certainly contributes to more comprehensive understanding of the effect of air pollution.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000328/pdfft?md5=62d7b725cc10a03050bab9ffec4f3efb&pid=1-s2.0-S2325426222000328-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76559262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the green credit policy on external financing, economic growth and energy consumption of the manufacturing industry","authors":"Sheng Wu ,&nbsp;Liangpeng Wu ,&nbsp;Xianglian Zhao","doi":"10.1016/j.cjpre.2022.03.007","DOIUrl":"10.1016/j.cjpre.2022.03.007","url":null,"abstract":"<div><p>China attempts to achieve energy conservation, emission reduction and environmental protection through the implementation of the green credit policy, but its implementation impact is still controversial. An important content of the green credit policy is to require banking and financial institutions to tighten the credit exposure of industries of ‘high pollution and high energy consumption’ and industries with overcapacity, so as to use economic leverage to curb their blind expansion and reduce energy consumption by controlling external financing. This paper examined the impact and the lingering effects of the green credit policy on external financing, economic growth and energy consumption in the manufacturing industry, which was most influenced by the green credit policy, from 2003 to 2016 by using the DID method. Furthermore, this paper estimated the dynamic endogenous relationships among external financing, economic growth and energy consumption with two-step system GMM model to investigate the influential path of the green credit policy. The results showed that: the green credit policy had a significant negative impact on the external financing of manufacturing industry, but its negative impact on the economic growth and energy consumption of manufacturing industry was not statistically significant, and the effect of the green credit policy had a dynamic feature of weakening with time. Additionally, in the manufacturing industry, there was a bilateral causal relationship between the energy consumption and economic growth of the control group industry and the processing group industry. There was a bilateral causal relationship between the economic growth and external financing of the control group industries in the manufacturing industry. There was a unilateral causal relationship between the economic growth and external financing of the processing group industries in the manufacturing industry, while the external causality existed between the control group industries and the processing group industries in the manufacturing industry. The causal relationship between the financing and energy consumption was not statistically significant. At present, the transmission path of the green credit policy is that the green credit policy controls external financing, then affects economic growth and ultimately inhibits energy consumption, but the effectiveness of the path is not statistically significant. The conclusion of this paper provides policy reference and scientific basis for the adjustment and improvement of green credit.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000365/pdfft?md5=a5c5c655c0ba0e128234cbe9593b1655&pid=1-s2.0-S2325426222000365-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85961514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"China’s factor reallocation effect considering energy","authors":"Guangqing Xu,&nbsp;Xiaoyu Chen","doi":"10.1016/j.cjpre.2022.03.005","DOIUrl":"10.1016/j.cjpre.2022.03.005","url":null,"abstract":"<div><p>Decomposing growth rate of total factor productivity (TFP) into internal growth effect and the effect of factor reallocation formed by the flow of capital, labor and energy between sectors, we took 23 subsectors as the research object and adopted the multi-sector growth accounting framework (MSGAF) to verify the ‘structural bonus hypothesis’ from 2005 to 2017. The study drew the following conclusions: First, internal growth effect represented by sectoral technology progress was still the main contributor to TFP growth of the overall economy, but the contribution rate had decreased. Second, the reallocation effect of capital changed from structural burden to structural bonus. Third, the reallocation effect of labor showed a trend of first rising and then falling, changing from structural bonus to structural burden. Forth, the effect of energy reallocation was gradually emerging, with a shift from structural burden to structural bonus. Based on these research results, we argue that more attention should be paid to the efficiency of factor reallocation in addition to the technology progress. The inefficiency of factor reallocation caused by imperfect market and asymmetric information would partially offset the effect of technology progress and hinder the high-quality economic development. In view of the reallocation of capital, labor and energy, we propose the following suggestions: For capital, macro-control and market mechanism should be comprehensively accounted for. Further, capital must be allocated per the principle of profit maximization to ensure that its elasticity and allocation efficiency will be improved. The reallocation of labor should not only be limited to the 3-sector level. More attention should be paid to the marginal output differences within the secondary sector. For energy, attention should be paid to the elasticity of energy output between sectors to avoid inefficient allocation. It is also necessary to accelerate the phase-out of industries with high energy consumption and high pollution, promote the development of low energy industries to encourage ‘energy conservation and emission reduction’ as well as ‘green development’ by increasing the effect of energy reallocation.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000341/pdfft?md5=77d979502241d6d5615ea791b8a49acc&pid=1-s2.0-S2325426222000341-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89799163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do people really support conservation? Evidence from China and the United States","authors":"Mengqiao Wang","doi":"10.1016/j.cjpre.2022.03.002","DOIUrl":"10.1016/j.cjpre.2022.03.002","url":null,"abstract":"<div><p>Survey studies have consistently shown strong public support for biodiversity conservation, even though conservation regulations often face strong local resistance when they are implemented. This seemingly contradictory phenomenon is due to the fact that previous polls have sought opinion only in the abstract, yet many conservation measures are implemented at the expense of local economic development, and policymakers often face a ‘Conservation-Development Tradeoff’-a policy dilemma that remains understudied by social scientists. To fill this gap, this study conducts one of the first comparative surveys on public support for biodiversity conservation in China and the United States. I measure public support for conservation using two separate question versions online. The ‘regular version’ asks directly about individual support for biodiversity conservation, and the “tradeoff version” asks the same question but in the context of the policy tradeoff. The results show that both American and Chinese citizens are highly supportive of conservation in the abstract. But after they learn about the tradeoff effect, the aggregate support falls sharply, and the Chinese citizens show significantly less support compared to their American counterparts. The survey findings expanded on existing academic research on public attitudes toward conservation policies and can encourage future conservation policymakers to understand the significance of the tradeoff issue, as conventional wisdom may have overestimated public support for biodiversity conservation. Moreover, as China has become a crucial player in global conservation governance, understanding the Chinese public sentiment on the real-world policy dilemma can have important implications for conservation policymaking in the world.</p></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":9.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2325426222000316/pdfft?md5=8aea0b0464b629782439c0996f98f691&pid=1-s2.0-S2325426222000316-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80884084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}