Factors Influencing Farmland Abandonment at the Village Scale:Qualitative Comparative Analysis(QCA)

As a global issue,farmland abandonment is considered to be one of the most crucial fields in the study of land use change.The clarification of its driving factors plays a vital role in improving the efficiency of rural cultivated land use and ensuring national food security.This paper aims to study the factors influencing farmland abandonment in 49 villages of Ganzhou City by adopting the Qualitative Comparative Analysis(QCA).The results show that:(1)Farmland abandonment is the outcome of synergism among many factors,among which the low–level of agricultural mechanization is definitely a necessary condition in Ganzhou,and it contributes a material effect to the abandonment.(2)The path leading to farmland abandonment is not unique to the study area,and can be attributed to five different combinations.These combinations can be enumerated as:A1(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,and no industrial policy support),A2(a combination of complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and no industrial policy support),A3(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,sufficient agricultural labor,and no industrial policy support),A4(a combination of convenient transportation,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and industrial policy support),and A5(a combination of inconvenient transportation,complete agricultural facilities,low-level agricultural mechanization,high-level land circulation,sufficient agricultural labor,and industrial policy support).(3)In the above-mentioned combinations,the core conditions and peripheral conditions conjointly impact on farmland abandonment.Finally,corresponding policy implications are proposed in order to further reveal the mechanism of farmland abandonment.These recommendations provide new ideas and methods for policy makers to use in making decisions and will promote the effective use of farmland.

Analysis on the Configuration Path of Improving the Quality and Efficiency of County-Level Libraries in China

County-level libraries have an inescapable responsibility for cultivating local cultural identity and realizing rural revitalization.Therefore,we analyzed factors that afect the service fficiency of gass-1oots libraries in Henan Province through a field investigation and qualitative comparative analysis(QCA),and proposed a higlh-efficiency configuration.In addition,we put forward the strategy of improving the quality and efficiency of our country's county-level libraries in the electonic information age.

Green transformation paths of resource-based cities in China from the configuration perspective

Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.

Exploring the Evolutionary Path of Digital Financial Inclusion in Guangdong Province,China

This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis(fsQCA).The findings emphasize that the success of digital financial inclusion goes beyond individual dimensions,forming a systematic initiative marked by multifaceted interaction among different disciplines.In the trajectory of high-level digital inclusive finance development,the study identifies economic prosperity and technological innovation as crucial elements,highlighting their centrality,and elucidates the synergistic collaboration between market mechanisms and government guidance.Furthermore,the study emphasizes the government’s pivotal role in supporting market mechanisms and guiding policies,highlighting the need to achieve a nuanced equilibrium in the digital financial inclusion strategy.In contrast,non-high-level development paths of digital inclusive finance show a spectrum of diversities,emphasizing the critical roles played by economic fundamentals,government regulation,market mechanisms,and other contextual factors in different trajectories.Regarding policy implications,the study emphasizes the comprehensive and systemic nature inherent in the development of digital inclusive finance.It proposes four policy recommendations,including integrating development strategies,emphasizing scientific and technological innovation and economic development,achieving a delicate balance between market mechanisms and government guidance,and providing precise policy support.These insights provide valuable lessons for shaping digital inclusive financial policies in Guangdong Province and beyond,offering profound insights for strategically constructing robust digital financial ecosystems.

Research on the High-Quality Development Path of Listed Private Education Groups

The rapid growth of the education industry and private education groups has brought the high-quality development of listed private education companies into focus for both the educational sector and the capital market.This study employs the fuzzy-set qualitative comparative analysis(fsQCA)method to explore pathways to high-quality development for these companies.Necessity analysis confirms that no single factor guarantees a company’s success,highlighting the importance of multi-factor interactions.Three main paths to high-quality development are identified:human resource optimization,precise market positioning,and comprehensive advantage.Conversely,four development paths for non-high-level companies are identified:dual insufficiency in resources and market,high turnover and over-investment,scale expansion with resource mismatch,and inadequate human resource development.The findings indicate that optimal allocation of educational resources,precise market positioning,rational resource allocation,and staff training are crucial for achieving high-quality development.Robustness tests,which raise the consistency threshold,verify the reliability and stability of the results.These findings provide a reference for policymakers,investors,and managers in the education industry.

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

Purpose:This paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approach:Based on heuristic-systematic model(HSM),we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision.In line with this approach,we use fuzzy-set qualitative comparative analysis(fsQCA)to analyze data crawled from Zhihu.com.Findings:The number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision.The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitations:Research is limited in that moderating effect of professional fields has not been considered in the framework.Practical implications:Configurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/value:This paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.

我国省域公共卫生服务与经济耦合协调及提升路径

目的探究我国各省域公共卫生服务与经济协调发展的现状及其影响因素,为地区实现高效、均衡发展提供建议。方法运用熵权法、耦合协调度、模糊集定性比较分析等方法评价我国各省域公共卫生服务与经济发展协调关系,借助fsQCA 3.0软件探究二者协调关系的影响因素与驱动路径。结果2020年我国各省域公共卫生服务与经济发展耦合协调度属于良好协调等级以上的地区较少,大部分地区处于濒临失调状态。条件变量的必要性检验一致性均≤0.9,单一条件变量对地方公共卫生服务与经济协调发展驱动能力有限,存在多条件变量构成复杂驱动路径。组态分析共得出8种组态结果,共归纳为3种组态路径,其中组态1与组态2属于地方高经济水平主导型驱动路径,组态3、组态4、组态5和组态8属于公共卫生服务与地方经济融合型驱动路径,组态6与组态7属于公共卫生服务主导型驱动路径。结论我国公共卫生服务与经济发展协调性整体不高,每万人口公共卫生机构数、每万人口公共卫生技术人员数以及人均国内生产总值等是影响地方公共卫生服务与经济协调发展的核心因素,不同条件变量组合可促进地方公共卫生服务与经济协调发展。低协调地区可根据本地区实际情况,参考高协调路径,实现公共卫生服务与经济协调发展。

The Role of Institutions:A Cross-country Analysis of Renminbi Trading in Foreign Exchange Markets

We explore how China's geographically targeted policies impact RMB overseas use individually or in combination.The policies include swap agreements,clearing banks,investment quotas,and direct trading between Chinese renminbi(RMB)and non-USD currencies.Adopting a fuzzy-set qualitative comparative analysis and using Bank of International Settlements cross-country data on foreign exchange markets,we find that institution building has lowered the barriers to international adoption of the RMB.Specifically,for countries economically close to China,high RMB trading is explained by either(i)having a clearing bank in the host market and direct quotations between the RMB and the local currency,or(ii)being a financial center and having access to the Chinese capital market.This combination of policies is explained by the creation of(i)"trading posts"that provide RMB liquidity abroad,and(ii)channels that allow actors to " recycle" offshore RMB funds.We triangulate our results with interviews conducted with senior People’s Bank of China officials.

Big Data Capability,Knowledge Dynamic Capability,and Business Model Innovation:The Moderating Effect of Innovation Legitimacy

Based on dynamic capability theory and legitimacy theory,a theoretical model is constructed to examine how big data capability,through the mediation of knowledge dynamic capability,drive business model innovation under the moderation effect of innovation legitimacy.The eanalys is isconducted using regression analysis and fuzzy set qualitative comparative analysis(fsQCA)on survey data from 302 enterprises that have already implemented big data application practices.The study finds the following four conclusions.(1)Big data capability has a significant positive impact on business model innovation.(2)Dynamic knowledge capability partially mediates the relationship between big data capability and business model innovation.(3)Innovation legitimacy positively influences business model innovation and positively moderates the relationship between big data capability and businessmodel innovation.(4)Through further qualitative comparative analysis,two causal paths that influence business model innovation are identified.

Performance of the combination of decarbonisation policy instruments and implications for carbon neutrality in China

Decarbonisation is a complex systemic issue that involves multiple market failures.Thus,the integrated application of multiple policy instruments is required.This study used the fuzzy-set qualitative comparative analysis(fsQCA)method to explore the causality relationship between decarbonisation policies with reference to the Intergovernmental Panel on Climate Change(IPCC)and the decoupling elasticity of Tapio from a configuration perspective.We found that taxation and regulation are the critical drivers of decoupling,while information and public goods and services are ancillary.Three decoupled policy mixes were tabled,each focusing on a)taxation,b)taxation and economic instruments,and c)trading system and regulations.In contrast,the execution of information and voluntary instruments,as well as the non-implementation of the tax,are essential to non-decoupling.Three combinations that are negative for decoupling were also introduced:a)trade and economic incentives,b)trade,information and voluntary instruments,and c)information,public goods and services,and voluntary instruments.The most valuable policy mix for China is the implementation of taxes,trade,economic and regulations with the provision of auxiliary decarbonised information and public goods and services.The following processes are involved:a)integrate regulations with economic policies for more flexibility;b)introduce the carbon tax and a tax rebate policy to complement the carbon market policy based on research into the feasibility and cost-effectiveness;c)provide information and public services mainly on the consumption side;and d)recommend voluntary policies for innovative practices.On the basis of more cases and a configuration perspective,this study offers various policy mixes that are conducive or not to decoupling and suggestions for optimising China’s decarbonisation policy.We also offered a way to measure the intensity of the decarbonisation policy with respect to the carbon emission structure of sectors.