Search Results (194)

How to effectively leverage the agency of smallholder farmers to boost rural incomes and achieve common prosperity is a core issue in agricultural development and transformation. Taking the flower industry in four regions of Yunnan Province as a case, this paper adopts an analytical framework of government-market-society synergy to examine industrial organizational models under different synergistic approaches and their impacts on industrial prosperity, smallholder agency, and income disparities. The comparative analysis reveals that combining appropriately open market mechanisms with moderate government intervention, while coordinating household-based operations through industry associations, currently represents an effective pathway to translate industrial prosperity into rural common prosperity. Full article

The volatility of oil prices has a considerable impact on the economies of oil-exporting countries, making it critical to understand how price variations affect labour markets and unemployment. This study investigates the distinct role of labour market institutions in moderating the effects of oil price volatility on unemployment. Using the Cross-Sectionally Augmented Autoregressive Distributed Lag Model (CS-ARDL) on a panel dataset of nine African oil-exporting countries from 1994 to 2024, the study establishes a strong negative link between oil price changes and unemployment. Furthermore, the results show that real GDP growth leads to a reduction in unemployment in the long run, while the labour market institutional index has a negative impact on unemployment. Interacting the oil price with the labour market institutional index causes a further reduction in unemployment. These results suggest that good labour market institutions and macroeconomic stability are essential for reducing unemployment. While increases in oil prices directly stimulate a reduction in unemployment in African oil-exporting countries, this impact is reinforced by the presence of good labour market institutions in an economy. Therefore, the results suggest that countries with strong labour market institutions are more resilient in reducing the negative impact of oil price volatility on employment. As such, policymakers must prioritise labour market institutional reforms to enhance countries’ capacity to absorb oil price shocks and reduce unemployment during periods of oil prosperity and shield against employment declines when oil prices drop. Furthermore, the creation of oil stabilisation funds in these countries may serve a similar purpose. Contribution/originality: Against a background of inconclusive empirical evidence in the literature and a dearth of research on African countries, this study investigates the role of labour market institutions (LMIs) in the oil price–unemployment nexus in African oil-exporting countries. While highly dependent on oil revenue, these countries record persistent structural unemployment. Therefore, the study provides critical evidence to guide the formulation of policies necessary to deal with external shocks and facilitate structural shifts required for employment growth. Existing studies consider general institutional variables such as democratic accountability and the rule of law and do not assess the effect of labour market institutions. The current study fills in this gap by assessing the distinct role of labour market institutions that are specifically designed to regulate only work-related activities, such as quality of labour regulations, adequacy of social protection and unemployment benefits. Furthermore, this study employed the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) for econometric estimations. Compared to previous studies, this is a more appropriate method that accounts for unobserved common factors such as oil price shocks affecting all oil-exporting countries simultaneously. Full article

Ensuring the rights of involuntary resettlers is fundamental to a law-based state and essential for achieving social equity and sustainable development. However, institutional improvement depends not only on the intent of top-level design but also on the capacity for dynamic adaptation amid evolving social contexts. Moving beyond the predominant research focus on policy design principles, this study investigates the dynamic evolution of China’s reservoir resettlement rights protection policies from 1949 to 2025. We first constructed a corpus of 32 core policy documents. Employing a bibliometric analysis within a multi-dimensional framework, we statically examined the developmental patterns of these policies. Subsequently, we applied the Punctuated Equilibrium Theory (PET) to dynamically analyze their policy changes, identifying a trajectory marked by both long-term stability and significant punctuations. Our findings reveal that over 76 years, the policy process has undergone two major equilibrium periods and two critical punctuation nodes, demonstrating a clear pattern of “protracted stability interspersed with short bursts of rapid transformation.” The policy image has correspondingly evolved through four distinct stages: “Administratively Mobilized Resettlement,” “Development-Oriented Resettlement,” “Harmonious Society for Resettlers,” and “Common Prosperity.” The study argues that this evolution is driven by the interplay of shifting central government attention, the occurrence of focusing events, and the reinforcement of evolving Policy Images, which collectively broadened the policy venue and led to non-linear institutional change. Based on these findings, the paper recommends: first, adopting a dynamic approach to policy formulation; second, maintaining sustained political commitment and robust institutional safeguards; and third, fostering multi-stakeholder consultation and collaborative governance mechanisms. These strategies are essential to more effectively secure the multifaceted rights of reservoir resettlers. Full article

To examine how digitally empowered rural e-commerce affects the market-oriented allocation of urban–rural factors at the county level and the underlying mechanism, this study treats the National E-commerce into Rural Counties Demonstration Program as a quasi-natural experiment. Using a panel of 1898 Chinese counties from 2000 to 2022, we conduct multi-period DID with staggered adoption and mediation analyses. The results show that rural e-commerce significantly raises the marketization level of factor allocation; the effect grows stronger over time and is most pronounced during the rapid-expansion phase, in agriculture-oriented e-commerce counties, in poverty-stricken counties, and in the Central and Western regions. The impact operates mainly through three channels: enlarging market size, upgrading industrial structure, and deepening digital financial usage. Notably, the digital finance channel exhibits a suppression effect, suggesting a complex role of financial digitalization in the early stages of rural development. To further ensure the robustness of our findings, we also conduct rigorous checks using the CSDID method and alternative proxy variables, consistently reaffirming the policy’s significant positive impact. These findings offer actionable evidence for deepening county-level factor-market reforms and advancing common prosperity, leading to policy recommendations on strengthening county digital infrastructure, tailoring e-commerce support systems, and improving the institutional environment for factor mobility. Full article

Despite the rapid expansion of AI and machine-learning techniques in bankruptcy prediction, classical statistical methods such as discriminant analysis and logistic regression remain relevant because of their transparency and interpretability. These characteristics are crucial for stakeholders who require understandable decision-making tools, especially in NACE Rev. 2 Section I—Accommodation and Food Service Activities, a sector characterized by high operating leverage, vulnerability to economic shocks, and strong macroeconomic importance. The study aims to evaluate and compare the predictive performance of discriminant analysis and logistic regression for bankruptcy prediction and to identify key predictors that can serve as managerial early-warning signals for companies in crisis across B9 countries. The sample of 4395 companies was used. The classification ability of all models is assessed using multiple performance metrics, including overall accuracy, sensitivity, specificity, precision, the F1-score, the F2-score, the Matthews correlation coefficient, and the area under the receiver operating characteristic curve. The results show that both approaches achieve consistently high predictive performance, with all major metrics exceeding 0.92 on the test sample of prosperous and non-prosperous enterprises. Six significant bankruptcy predictors are identified for each method, with three common indicators: financial leverage, total liabilities to assets, and return on costs. The comparative analysis results in a methodological “draw,” confirming comparable predictive power. These findings reaffirm the relevance of classical prediction models and identify key financial indicators that can be used as practical early-warning signals by managers in the sector. Full article

In the context of advancing two pivotal national commitments, namely the “Dual Carbon” goals and the common prosperity strategy, energy policy formulation must move beyond purely economic or environmental considerations and adopt integrated social welfare assessments. This study develops an optimal dispatch model for a multi-microgrid system that incorporates dynamic cross subsidy and tiered carbon trading. From the perspective of welfare economics, the socioeconomic impacts of the proposed model are then systematically evaluated. First, a unified operational framework is established, combining dynamic electricity tariff cross subsidy with a tiered carbon trading mechanism. Next, a quantitative model for electricity tariff cross subsidy is proposed, and a dynamic subsidy rate linked to renewable energy output is designed to guide electricity consumption behavior. Finally, a comparative simulation is conducted across three scenarios: no subsidy, traditional cross subsidy, and the proposed dynamic cross subsidy. The results demonstrate that the proposed dynamic mechanism reduces system carbon emissions by 17.05% compared to the non-subsidy baseline while significantly optimizing total costs. Full article

In the context of China’s pursuit of high-quality economic development, enhancing agricultural productivity is crucial for ensuring food security and promoting common prosperity. This paper constructs a systematic IV-LP-ACF-SAR econometric framework to analyze agricultural Total Factor Productivity (TFP) growth using panel data from 31 Chinese provinces spanning 2014 to 2023 (n = 341 observations). The framework employs the instrumental variable (IV)-based Levinsohn–Petrin (LP) proxy variable method under the Ackerberg–Caves–Frazer (ACF) system to estimate a Translog production function while addressing endogeneity using multiple spatial weight matrices. TFP growth is decomposed into technical change (TC), technical efficiency (EC), and scale efficiency (SC). A Spatial Autoregressive (SAR) model with Dynamic Common Correlated Effects (DCCE) explores spatial spillover effects and regional heterogeneity. Results show that China’s agricultural TFP remained largely stagnant from 2014 to 2023 with an average annual growth rate of −0.18%, where technical efficiency decline (−0.33% annually) was the main constraint. Technical change remained neutral, while scale efficiency contributed positively (+0.15% annually). Mechanization showed the highest output elasticity (0.99), while fertilizers, pesticides, and labor exhibited negative marginal returns. Spatial analysis revealed significant negative scale efficiency spillovers with regional patterns of “scale synergy in the Northeast/Northwest” and “efficiency synergy in East/North China.” These findings suggest that productivity policy should shift toward a dual-driver model combining efficiency enhancement and optimal scaling, with differentiated regional policies and inter-provincial coordination mechanisms necessary to mitigate negative spillovers and enhance sustainable agricultural growth quality. Full article

This study provided county-level empirical evidence on how rural land institutional reform affected the urban–rural income gap, and offered policy implications for advancing rural revitalization and common prosperity. Utilizing panel data for 1380 counties in China from 2010 to 2020, this study treated the Market-Oriented Reform of Rural Collective Operational Construction Land in China (the Reform) as a quasi-natural experiment and used a multi-period difference-in-differences (DID) model as a quantitative approach to empirically examine the effect and underlying mechanisms of the Reform on the urban–rural income gap. The results indicated that: (1) The Reform significantly narrowed the urban–rural income gap and passed a set of robustness checks, with an average reduction of approximately 17.41%. (2) The Reform reduced the urban-rural income gap through multiple pathways, including “land supply expansion–value realization and appreciation”, “industrial structure upgrading–labor reallocation” and “efficient capital flows–infrastructure improvement”. (3) The narrowing effect of reform was more pronounced in eastern and western counties, counties with higher proportions of mountainous areas, and non-resource-dependent counties. (4) The Reform demonstrated diminishing marginal returns: the effect was larger in counties with wider initial urban–rural income gaps. In addition, more market-oriented land transfer methods were more conducive to land value realization. Accordingly, the government should advance the Reform prudently, adopt place-based implementation, promote two-way factor mobility, and improve benefit-sharing and regulatory mechanisms to sustain policy gains. Full article

Pawnshop buildings are places where pawn transactions are conducted. They are usually composed of a front shop and a back building, and their shape resembles a fortress. As a typical gambling city, pawnshops in Macau appeared as early as the Qing Dynasty. By the late Qing Dynasty (1644–1912) and early Republic of China (1912–1949), they had become a common market. They reached their peak during the Anti-Japanese War and were an important financial institution for the people to solve their urgent needs. Today, many pawnshop buildings have become architectural heritage sites and are distributed around the buffer zone of the World Heritage Site. Their location is consistent with the evolution of urban space and the development of gambling and tourism industries. However, existing research lacks systematic research based on spatial quantification technology and it has yet to be determined whether there is a spatial alignment relationship between pawnshop location and urban spatial structure. This paper takes the whole of Macau as the research area and combines DepthmapX space syntax, GIS analysis, and historical data comparison of pawnshop buildings to explore the path dependence characteristics of pawnshop building location and the service radius law in urban space. The study found that the location of pawnshop buildings in Macau has evolved through three stages: initially relying on traditional market spaces, then gathering around casino areas during a stable phase, and finally becoming closely tied to the core areas of gambling venues in the prosperous stage. It shows a path dependence that is continuously strengthened on nodes with low traffic resistance. The service radius of pawnshop buildings exhibits an unbalanced characteristic, with a dense core area and a blank peripheral area, forming a multi-level system of a 200 m core service circle, a 400 m extended service circle, and an 800 m radiation service circle. This study proposes pathways for the adaptive reuse and activation of traditional pawnbroking architectural heritage. For instance, by drawing on the operational model of the Tak Seng On Pawnshop, the integration of cultural exhibition and livelihood services can be realized, thereby providing practical references for the adaptive reuse and conservation of heritage assets. This study offers dual theoretical and practical support for the conservation of pawnbroking architectural heritage in Macau, the site selection and planning of modern pawnbroking establishments, and the optimization of the city’s urban spatial structure. Meanwhile, it enriches the research system on the spatial alignment between the peripheral financial industry and urban space. Full article

There are several frameworks for corporate sustainability indicators (GRI, B-LAB, WBCSD, etc.) which allow for the selection of indicators based on convenience or subjective criteria. In this work, we aim to propose a common framework based on relevant indicators for companies operating in the Mexican context to provide a basis for their transition to sustainability. We analyzed five international corporate sustainability indicator frameworks and decided to use the CoP, BIA, and CSA evaluation tools. The set of indicators (n = 294) was evaluated by a panel of judges with profiles covering several fields of sustainability, followed by an analysis of agreement using Kendall’s W. The weighting for each judge was equally distributed, and the TOPSIS Multicriteria Decision Method (MCDM) was used to calculate the Relative Proximity Coefficient (RPC) for each indicator. The RPC values were stratified into priority levels and used to build a model to guide Mexican enterprises toward sustainability, which indicates that planet factors initially have the highest priority. As the company grows, it should incorporate more sustainable elements across the social, governance, and prosperity spheres. The model may serve as a roadmap for companies seeking sustainability. Full article

In the context of global climate change and promoting green development, the industrial sector’s significant contribution to carbon emissions necessitates effective policies for low-carbon energy transition. Understanding the role of carbon emission trading policy (CETP) in facilitating the low-carbon transformation of industrial energy (LTIE) is important. However, the effectiveness of CETP in driving LTIE and the mechanisms through which it operates remain underexplored. This study systematically examines the effects of CETP on LTIE and its underlying mechanisms across 30 Chinese provinces from 2005 to 2021. The findings show that first, CETP substantially facilitates LTIE, and the results remain consistent after undergoing parallel-trend, placebo, and other robustness tests. Second, CETP primarily facilitates this transformation through multiple channels, namely, energy-saving and carbon-reduction innovations, industrial structure transformation, and government support. Third, heterogeneous results indicate that the policy effect is highly pronounced in inland regions and areas with low levels of industrial governance investment. This study demonstrates that CETP is an effective tool for advancing China’s industrial energy transformation toward low-carbon models, whose effectiveness is influenced by regional characteristics and governance levels. These findings provide a scientific basis for formulating differentiated environmental strategies. Full article

In the context of globalization, balancing economic growth with social equity is a critical challenge for achieving sustainable development. While Global Value Chains (GVCs) have become a defining feature of the contemporary economy, their specific impact on the urban–rural income gap—a key indicator of common prosperity—remains under-explored. This study empirically investigates the impact of GVC embedding on urban–rural common prosperity in China using panel data from 30 provinces spanning the period 2011–2022. Adopting a dual perspective of “efficiency” (income growth) and “equity” (income distribution), this study constructs a mediation model to analyze the transmission mechanisms. Research indicates that embedding in global value chains not only enhances the income-generating capacity of urban and rural residents but also effectively narrows the urban–rural income gap. Furthermore, its positive contribution to urban–rural common prosperity is both long-term and sustainable. This effect of GVC embedding on urban–rural common prosperity remains significant after conducting various robustness tests. Mechanism analyses reveal that GVC embedding achieves these outcomes by promoting agricultural industrial upgrading, fostering agricultural technological innovation, and stimulating rural entrepreneurial vitality. Notably, heterogeneity tests indicate that these positive effects are more pronounced in eastern, coastal, and economically developed regions, whereas the impact is less evident in central, western, and inland areas. This study holds important policy implications for promoting the development of China’s open economy to a higher level in the era of economic globalization, as well as for realizing urban–rural common prosperity and balanced, sustainable development. Full article

Agricultural industrial parks have been promoted as a key instrument for agricultural modernization, yet causal evidence of their impact on raising rural residents’ income remains limited. This study evaluates the income effects of National Modern Agricultural Industrial Parks (NMAIPs) in China, clarifying the transmission mechanisms and distributional consequences for rural households and the urban–rural income gap. Using county- and household-level panel data (2014–2022), we exploit the staggered rollout of NMAIPs as a quasi-natural experiment and employ a staggered Difference-in-Differences (DID) design with two-way fixed effects, complemented by event-study analysis. Results show that NMAIP establishment raises rural residents’ income by approximately 1.83% on average. Mechanism analysis indicates that this gain operates primarily through employment expansion, technological upgrading, and capital agglomeration. At the household level, NMAIPs significantly increase wage and operating income but have limited effects on property and transfer income, reflecting constraints in rural asset markets. Furthermore, NMAIPs reduce intra-rural inequality and moderate the urban–rural income gap following an inverted U-shaped path (initial widening followed by narrowing), as benefits diffuse through value chains. We conclude that NMAIPs are an effective policy lever for inclusive rural growth, yet their distributive outcomes could be enhanced by supporting reforms in rural factor markets and public service delivery. Full article

Under the background that urban–rural integrated development continuously deepens and the common prosperity goal continuously advances, systematically identifying the actual results of urban–rural integrated development and its influence mechanism on common prosperity holds important significance for understanding regional development differences and optimizing policy implementation paths. Based on land use data, NTL data, and POI facility data from 2013 to 2025, this study comprehensively employs spatial analysis and deep learning methods to conduct an empirical analysis on the spatiotemporal evolution characteristics and coupling relationship of urban–rural integrated development and common prosperity levels from dimensions including urban–rural spatial form evolution, economic activity intensity, and public service facility diversity. The research results indicate that urban–rural integration significantly promotes urban spatial expansion and the improvement in overall economic activity levels during the study period, but the difference in development magnitude among different regions remains obvious. The common prosperity level generally presents a rising trend, but it highly concentrates in the Pearl River Delta and city–county center areas in space, and the promotion effect of urban–rural integration on common prosperity exhibits obvious characteristics of regional heterogeneity, stages, time lags, and diminishing marginal effects. This study considers that urban–rural integration does not inevitably and synchronously transform into an elevation in common prosperity levels. Combining regional development basis and structural conditions to optimize urban–rural integration development paths by region and by stage and to improve the realization quality of common prosperity possesses important practical reference value. Full article

For a long time, low efficiency in the transfer of rural collective land use rights and the ambiguous attribution of collective land property rights have not only restricted the mobility of rural labor factors but have also hindered the release of vitality in the rural collective economy. This has resulted in lagging growth in the income that rural residents obtain from collective economic factors, contributing to the persistent widening of the urban/rural income gap. As an important institutional innovation to address these issues, the effects of the reform of the rural collective property rights system urgently need to be clarified. The reform of the rural collective property rights system constitutes a major initiative in the transformation of the rural land system. Centered on asset verification and valuation, as well as the demarcation of membership rights and the restructuring towards a shareholding cooperative system, it aims to establish a collective property rights regime characterized by clearly defined ownership and fully functional entitlements. This study takes the national pilot reform of rural collective property rights launched in 2016 as a quasi-natural policy experiment, systematically examining the impact of this pilot policy on the internal income gap within households and its spillover effects on the urban–rural income gap. Based on microdata from the China Household Finance Survey (CHFS) and the China Longitudinal Night Light Data Set (PANDA-China), this study constructs a five-period balanced panel dataset covering 2304 rural households across 25 provinces. A relative exploitation index based on the Kawani index is constructed, and empirical analysis is conducted using a combination of multi-period difference-in-differences (Multi-period DID), discrete binary models, and propensity score matching-difference-in-differences (PSM-DID) models. The results show that: First, the pilot reform significantly reduced the level of income inequality within rural areas in the pilot regions, and its policy benefits further generated positive spillovers via market-driven factor allocation mechanisms, effectively bridging the urban–rural income gap. Second, institutional reforms activated the potential of rural non-agricultural economic factors, establishing new channels for a two-way flow of urban and rural factors, becoming an important path to achieve the goal of common prosperity. Third, the policy effects exhibited significant heterogeneity, specifically manifested in the attributes of major grain-producing regions, initial household income levels, and the human capital characteristics of household heads having significant moderating effects on reform outcomes. This study not only provides theoretical support and empirical evidence for deepening rural property rights reforms under the new rural revitalization strategy, but it also reveals the driving role of institutional innovation in factor mobility, thereby influencing the transmission mechanism of income distribution patterns. This finding offers a China-based solution for developing countries to address the imbalance in urban–rural development and the widening income gap. Full article