This page has only limited features, please log in for full access.
The rural land rental market is playing an increasingly important role in the agricultural transformation period for developing countries, including China, where rural farmland rental is highly context-specific with the implementation of the collective-owned rural land system; thus, in turn, the access to farmland rental markets for rural households has profoundly influenced their livelihood strategies and income earnings. This paper investigates the income impact differences caused by rural households’ farmland rental participation activities and explores such impact mechanisms by further evaluating the income impacts caused by rental area and household agricultural productivity. Data from the Chinese national household survey were used for estimating the empirical models. Our results show that farmland renting has positively affected households’ on-farm and total income, but there is no significant effect upon off-farm income. According to income differences across quantiles, we find households with high on-farm income are more sensitive about enlarging their farm size by renting farmland, and households with middle and upper-middle off-income may benefit more from renting out their farmland. Furthermore, the joint effects of renting area and household agricultural productivity on lessee households’ farm income is significantly positive. For lessor households, our results indicate that renting out farmland did not improve their off-farm and total income as it may have a limited effect on farm household labor distribution. Our findings suggest that engaging in farmland rental activity can enhance farming productivity efficiency and poverty alleviation among rural households. Under the collective-owned rural land system, it is urgent and necessary to initiate and design incentive policies to encourage highly efficient large farms to expand the farm size and provide smallholders with equal opportunities to engage in farmland rental activities.
Wenjing Han; Zhengfeng Zhang; Xiaoling Zhang; Li He. Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China. Land 2021, 10, 899 .
AMA StyleWenjing Han, Zhengfeng Zhang, Xiaoling Zhang, Li He. Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China. Land. 2021; 10 (9):899.
Chicago/Turabian StyleWenjing Han; Zhengfeng Zhang; Xiaoling Zhang; Li He. 2021. "Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China." Land 10, no. 9: 899.
Low-carbon technology innovation is considered to be one of the most effective remedial measures for reducing climate change. Based on panel data from 30 provinces in China which were collected firms in operation between 1999 and 2016, this paper used a difference-in-differences (DID) approach to assess whether China's current carbon-abatement policies (i.e. energy-saving goals (ESGs), new energy subsidies (NESs), and carbon emission trading schemes (ETSs)) can direct innovation activities towards low-carbon technologies; then, this paper analyzed the channels involved from the perspective of investment preferences. In terms of policy-induced effects, the contributions of both ESGs and NESs policies were discovered to be relatively stable in the 11th five-year period (FYP) (2006–2010), but weaker in the following 12th FYP, and the ETSs’ effect on innovation was found to be not significant. In particular, the estimates for policy coordination were not significant, and the innovation-inducing effects of NESs were moderated by market performance. For the analysis of channels, only administrative regulation had a reinforcing effect on the propensity to pursue technological investment. As enforcement increases, the innovation influence from technology investment preferences (TIPs) has also changed: it is distinct, and even opposite, on each side of the threshold.
Kai Li; Yaxue Yan; Xiaoling Zhang. Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China. Technological Forecasting and Social Change 2021, 172, 121015 .
AMA StyleKai Li, Yaxue Yan, Xiaoling Zhang. Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China. Technological Forecasting and Social Change. 2021; 172 ():121015.
Chicago/Turabian StyleKai Li; Yaxue Yan; Xiaoling Zhang. 2021. "Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China." Technological Forecasting and Social Change 172, no. : 121015.
Ya Chen; Wei Xu; Xiaoling Zhang; Qian Zhou. Inclusive ecological efficiency analysis in China's Hainan Island: an extended meta-frontier DEA approach. 2021, 1 .
AMA StyleYa Chen, Wei Xu, Xiaoling Zhang, Qian Zhou. Inclusive ecological efficiency analysis in China's Hainan Island: an extended meta-frontier DEA approach. . 2021; ():1.
Chicago/Turabian StyleYa Chen; Wei Xu; Xiaoling Zhang; Qian Zhou. 2021. "Inclusive ecological efficiency analysis in China's Hainan Island: an extended meta-frontier DEA approach." , no. : 1.
China is advocating the ecological civilization for a sustainable society and resource–economic–environmental system due to its environmental and climate problems. As a special resource–economic–environmental system, island systems are facing severe challenges due to the vulnerable coordination ability between ecological environment and economic development. To measure the sustainable performance of island systems more directly and specifically, this paper extends the concept of ecological efficiency to inclusive ecological efficiency. For the first time, we analyze the inclusive eco-efficiency of Hainan Island, the second largest island in China, from 2008 to 2017. Due to the large technological heterogeneity among the diverse industries, this paper combines inclusive eco-efficiency with meta-frontier data envelopment analysis (DEA). And we propose a revised meta-frontier slack-based measure (SBM) model and meta-frontier non-radial directional distance function (NRDDF) model, which makes the technology gap rate (TGR) no larger than 1. The empirical results show that the average inclusive total factor energy efficiency (ITFEE) of the tertiary industry under the group-frontier is the largest while the average ITFEE of the primary industry is the highest under the meta-frontier. Moreover, the technology gap rate of the primary industry is the largest. Policy implementations are presented based on the empirical results.
Ya Chen; Wei Xu; Xiaoling Zhang; Qian Zhou. Inclusive ecological efficiency analysis in China’s Hainan Island: an extended meta-frontier DEA approach. Environmental Science and Pollution Research 2021, 28, 44452 -44466.
AMA StyleYa Chen, Wei Xu, Xiaoling Zhang, Qian Zhou. Inclusive ecological efficiency analysis in China’s Hainan Island: an extended meta-frontier DEA approach. Environmental Science and Pollution Research. 2021; 28 (32):44452-44466.
Chicago/Turabian StyleYa Chen; Wei Xu; Xiaoling Zhang; Qian Zhou. 2021. "Inclusive ecological efficiency analysis in China’s Hainan Island: an extended meta-frontier DEA approach." Environmental Science and Pollution Research 28, no. 32: 44452-44466.
Studies of the resilience of smart cities can provide new insights for the sustainable development of cities, with important practical significance for improving their carrying capacity, disaster resistance, and development capacity. However, despite the recent large-scale development of smart cities in China, it is still uncertain whether smart cities could effectively promote urban resilience. Exploiting the quasi-experimental nature of smart city development in China, this paper uses DID and PSM-DID to determine their impact on urban resilience. Four aspects of urban resilience are analyzed: economic resilience, social resilience, ecological resilience, and infrastructure resilience. The results show that the development of smart cities can improve social resilience considerably without any obvious effect on economic and ecological resilience and even negatively affect infrastructure resilience; the distribution effect, technological effect, and structural effect are important mechanisms for smart cities to influence urban resilience; and smart cities that have a sound industrial structure, enough good-quality companies, large size, and a large pool of highly-skilled labor are much more likely to be associated with a high level of urban resilience. Policy suggestions are also provided to promote the simultaneous improvement of smart cities and urban resilience, and hence help establish a new ‘urban resilience’ model.
Qian Zhou; Mengke Zhu; Yurong Qiao; Xiaoling Zhang; Jie Chen. Achieving resilience through smart cities? Evidence from China. Habitat International 2021, 111, 102348 .
AMA StyleQian Zhou, Mengke Zhu, Yurong Qiao, Xiaoling Zhang, Jie Chen. Achieving resilience through smart cities? Evidence from China. Habitat International. 2021; 111 ():102348.
Chicago/Turabian StyleQian Zhou; Mengke Zhu; Yurong Qiao; Xiaoling Zhang; Jie Chen. 2021. "Achieving resilience through smart cities? Evidence from China." Habitat International 111, no. : 102348.
Urbanization has often been considered a threat to food security since it is likely to reduce the availability of croplands. Using spatial statistics and scenario analysis, we show that an increase in China’s urbanization level from 56% in 2015 to 80% in 2050 would actually release 5.8 million hectares of rural land for agricultural production—equivalent to 4.1% of China’s total cropland area in 2015. Even considering the relatively lower land fertility of these new croplands, crop production in 2050 would still be 3.1–4.2% higher than in 2015. In addition, cropland fragmentation could be reduced with rural land release and a decrease in rural population, benefiting large-scale farming and environmental protection. To ensure this, it is necessary to adopt an integrated urban–rural development model, with reclamation of lands previously used as residential lots. These insights into the urbanization and food security debate have important policy implications for global regions undergoing rapid urbanization. Using spatial statistics and scenario analysis, Wang et al. identify the rural land most suitable for crop production in more than 2,800 Chinese counties. They estimate that a targeted increase in China’s urbanization level could release almost 6 million hectares of rural land for agriculture.
Sitong Wang; Xuemei Bai; Xiaoling Zhang; Stefan Reis; Deli Chen; Jianming Xu; Baojing Gu. Urbanization can benefit agricultural production with large-scale farming in China. Nature Food 2021, 2, 183 -191.
AMA StyleSitong Wang, Xuemei Bai, Xiaoling Zhang, Stefan Reis, Deli Chen, Jianming Xu, Baojing Gu. Urbanization can benefit agricultural production with large-scale farming in China. Nature Food. 2021; 2 (3):183-191.
Chicago/Turabian StyleSitong Wang; Xuemei Bai; Xiaoling Zhang; Stefan Reis; Deli Chen; Jianming Xu; Baojing Gu. 2021. "Urbanization can benefit agricultural production with large-scale farming in China." Nature Food 2, no. 3: 183-191.
The paper employs the spatial econometric method and in the Yangtze River Delta, constructs unique spatial matrices to analyze the effect of environmental regulation on haze pollution. The effect of formal and informal environmental regulation is also differentiated. The contributions of this paper are: (1) Research perspective: it compares the effects of informal and formal environmental regulations, stresses the effect of environmental regulation on haze pollution, and identifies the specific mechanisms involved; (2) in terms of methodologies, the study employs a spatial self-lag model and constructs an asymmetric logistics matrix; (3) the study investigates the micro-mechanism involved, to reveal the intermediate action of technological innovation and industrial structure; (4) it is shown that the results are robust after using the instrumental variable (promotion pressure of government officials) for environmental regulation. The policy implications are: Environmental regulation in the Yangtze River Delta region still needs to make a trade-off between economic development and environmental pollution, but the good news is that the convergence of environmental regulation can help promote environmental improvement, and the rigorization of environmental regulation can help optimize industrial structure, and talent cultivation is conducive to the formation and strengthening of the neighbor-companion effect of environmental regulation.
Qian Zhou; Shihu Zhong; Tao Shi; Xiaoling Zhang. Environmental regulation and haze pollution: Neighbor-companion or neighbor-beggar? Energy Policy 2021, 151, 112183 .
AMA StyleQian Zhou, Shihu Zhong, Tao Shi, Xiaoling Zhang. Environmental regulation and haze pollution: Neighbor-companion or neighbor-beggar? Energy Policy. 2021; 151 ():112183.
Chicago/Turabian StyleQian Zhou; Shihu Zhong; Tao Shi; Xiaoling Zhang. 2021. "Environmental regulation and haze pollution: Neighbor-companion or neighbor-beggar?" Energy Policy 151, no. : 112183.
A fair revenue-risk allocation is essential for successful public-private partnership (PPP) projects. In this paper, a swing option, which can hedge the underlying risk in two directions above and below expectations, is introduced to model a revenue risk allocation contract in PPP projects. In the contract, a minimum revenue guarantee (MRG) and excess revenue sharing (ERS) are integrated. The contract is fair for the public and private partners in that it covers and balances the MRG and ERS. Moreover, the contract embeds the incentive and flexibility by granting the concessionaire swing rights. The contract is priced using a least-squares Monte Carlo simulation. Through a demonstration case of a highway in China, the contract values for different allocation parameters are obtained, providing a reference for negotiations between the government and the concessionaire; the optimal strategies for exercising the swing rights are also presented, according to which the concessionaire can decide when to exert the swing rights. The new revenue risk allocation mechanism developed by the swing option method could enrich the revenue risk allocation theory of PPP projects.
Shuhua Zhang; Jinghuan Li; Yu Li; Xiaoling Zhang. Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. Journal of Construction Engineering and Management 2021, 147, 04020153 .
AMA StyleShuhua Zhang, Jinghuan Li, Yu Li, Xiaoling Zhang. Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. Journal of Construction Engineering and Management. 2021; 147 (1):04020153.
Chicago/Turabian StyleShuhua Zhang; Jinghuan Li; Yu Li; Xiaoling Zhang. 2021. "Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach." Journal of Construction Engineering and Management 147, no. 1: 04020153.
Since 2005, Guangzhou has started an urban regeneration strategy as part of its urban image promotion agenda, which has provoked tremendous social resistance and contestation. However, the social claims of diverse stakeholders vary and are still not well understood for different types of regeneration. With a theoretical underpinning of the conception of social sustainability and social justice, this article compares how social sustainability and justice claims are being framed and represented in two typical types of regeneration: old towns and urban villages. More importantly, it aims at illustrating how the diverse dimensions of social sustainability and justice – economic, cultural and political-are intertwined and irreducible in different types of regeneration thus impact on the outcome of urban regeneration. By analyzing the two cases of Enning Road and Xian Village in Guangzhou, we conclude that, although economic, cultural, and social dimensions are all reflected and framed in the regeneration process, in actual cases they are produced by stakeholders with different interests and demands. Cultural recognition claims tend to be more prominent in the Enning Road case. Comparatively, the Xian Village case shows that economic equality claims are the main concern of villagers in fighting demolition and eviction.
Zhonghua Gu; Xiaoling Zhang. Framing social sustainability and justice claims in urban regeneration: A comparative analysis of two cases in Guangzhou. Land Use Policy 2020, 102, 105224 .
AMA StyleZhonghua Gu, Xiaoling Zhang. Framing social sustainability and justice claims in urban regeneration: A comparative analysis of two cases in Guangzhou. Land Use Policy. 2020; 102 ():105224.
Chicago/Turabian StyleZhonghua Gu; Xiaoling Zhang. 2020. "Framing social sustainability and justice claims in urban regeneration: A comparative analysis of two cases in Guangzhou." Land Use Policy 102, no. : 105224.
Industrial agglomeration and technological innovation are considered significant mechanisms to affect carbon productivity. This paper investigates the relationship between heterogeneous industrial agglomeration, technological innovation and carbon productivity using the Dynamic Spatial Durbin Model based on panel data of the industrial sector of 30 Chinese provinces from 1998 to 2017. The results show that: overall, there is an inverted “U” relationship between industrial agglomeration and carbon productivity, and technological innovation plays an important role in determining the “inflection point”. The impact of technological innovation upon industrial agglomeration as well as on carbon productivity is different under different types of industrial agglomerations and different regions. Compared with the general technological innovation, low-carbon technological innovation has a larger impact on carbon productivity, whilst its potential to improve the situation has not been fully realized. Carbon productivity has significant path-dependent characteristics and, together with industrial agglomeration and technological innovation, they all have significant spatial spillover effects. Both theoretical and practical significance have drawn from this paper, in particular for China, to optimize the efficiency through spatial reforming of industrial agglomerations to maintain economic growth and increase the total carbon productivity from the long run.
Xiping Liu; Xiaoling Zhang. Industrial agglomeration, technological innovation and carbon productivity: Evidence from China. Resources, Conservation and Recycling 2020, 166, 105330 .
AMA StyleXiping Liu, Xiaoling Zhang. Industrial agglomeration, technological innovation and carbon productivity: Evidence from China. Resources, Conservation and Recycling. 2020; 166 ():105330.
Chicago/Turabian StyleXiping Liu; Xiaoling Zhang. 2020. "Industrial agglomeration, technological innovation and carbon productivity: Evidence from China." Resources, Conservation and Recycling 166, no. : 105330.
Urban built environment regulations can effectively mitigate traffic CO2 emissions. Thus, it is critical to quantify the elasticities of altering built environment configurations. To address this issue, we have built nationwide spatial autoregressive models to differentiate between localized and spillover effects across 325 Chinese cities in the years of 2005 and 2015. Our results indicate that a 1% increase in built-up areas’ size, compactness, and isolation is associated with increases of 0.35%, −0.14%, and 0.13%, respectively, in adjacent traffic CO2 emissions. The underlying reason is that the spatial configurations of built environment do not only systemically affect the probability, frequency, speed, and distance of intracity motorised travels, but also have impacts on the intercity transboundary mobility of motor vehicles. In addition, the built-up areas’ compactness effect has an antagonistic relation with the per capita GDP effect. Thus, our findings provide evidence that the built environment configuration-related measures can benefit traffic CO2 emission reductions in adjacent cities. It is therefore necessary for policymakers to make a traffic CO2 mitigation strategy at the city agglomeration level.
Weize Song; Xiaoling Zhang; Kangxin An; Tao Yang; Heng Li; Can Wang. Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO2 emissions in mainland China. Applied Energy 2020, 283, 116271 .
AMA StyleWeize Song, Xiaoling Zhang, Kangxin An, Tao Yang, Heng Li, Can Wang. Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO2 emissions in mainland China. Applied Energy. 2020; 283 ():116271.
Chicago/Turabian StyleWeize Song; Xiaoling Zhang; Kangxin An; Tao Yang; Heng Li; Can Wang. 2020. "Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO2 emissions in mainland China." Applied Energy 283, no. : 116271.
Checking the circular economy (CE) efficiency of industrial parks and exploring the potential reasons involved have not been systematically investigated. Recent researches lacked a unified and up-to-date framework toward CE in industrial parks emerging in high-quality development stage. It is therefore critical to build a new dimension and quantify the CE efficiency of industrial parks under the new historical period, so that appropriate policies can be formulated. This paper measures the CE efficiency of circular transformation by developing an original DEARA (Data Envelopment-Regression Analysis) model, and highlighting its advantages over the traditional DEA (Data Envelopment Analysis) model. To do this, an evaluation model is constructed that combines eight key indicators for environment, resources, economics and driving factors. The first batch of circular transformation pilot parks in China were selected for empirical analysis. The results show that the CE efficiency of sample parks has high variability from 0.112 to 1.030 in 2011. The efficiency matrix reveals a positive correlation between resources and environmental performance, with the driving factors for circular transformation being mainly GDP and leading industries. Compared with national indicators, the circular transformation of park levels is more effective in improving CE efficiency than the national average level of circular development, among which the experiences of the Beijing and Tianjin development zones are worthy of being exported to other industrial parks. Ultimately, this paper intends to contribute to policy instruments for developing viable and efficient industrial parks.
Ning Wang; Jinling Guo; Xiaoling Zhang; Jian Zhang; Zhaoyao Li; Fanxin Meng; Bingjiang Zhang; Xudong Ren. The circular economy transformation in industrial parks: Theoretical reframing of the resource and environment matrix. Resources, Conservation and Recycling 2020, 167, 105251 .
AMA StyleNing Wang, Jinling Guo, Xiaoling Zhang, Jian Zhang, Zhaoyao Li, Fanxin Meng, Bingjiang Zhang, Xudong Ren. The circular economy transformation in industrial parks: Theoretical reframing of the resource and environment matrix. Resources, Conservation and Recycling. 2020; 167 ():105251.
Chicago/Turabian StyleNing Wang; Jinling Guo; Xiaoling Zhang; Jian Zhang; Zhaoyao Li; Fanxin Meng; Bingjiang Zhang; Xudong Ren. 2020. "The circular economy transformation in industrial parks: Theoretical reframing of the resource and environment matrix." Resources, Conservation and Recycling 167, no. : 105251.
High-speed Rail (HSR) is expected to act as catalyst for urban system restructuring for countries investing in HSR projects. This paper examines the research question regarding the HSR-agglomeration connection: to what extent does HSR spur the agglomeration of various economic activities from being near and far from the station? An analytical framework including a panel regression model, spatial autoregressive with additional autoregressive error structure (SARAR) model, and space-time autocorrelation sampling model are presented to investigate the spatiotemporal spillover effects of HSR projects on urban growth over time across cities and regions. The empirical analysis shows that, on one hand, county-level urban growth is associated with accessibility gains from HSR. On the other hand, the space-time autocorrelation patterns of NH counties decay steeply over 5 km within 3 months. The finding of this study provides policymakers with tailor-made planning strategies for connecting urban growth with HSR operations and planning.
Haozhi Pan; Cong Cong; Xiaoling Zhang; Yina Zhang. How do high-speed rail projects affect the agglomeration in cities and regions? Transportation Research Part D: Transport and Environment 2020, 88, 102561 .
AMA StyleHaozhi Pan, Cong Cong, Xiaoling Zhang, Yina Zhang. How do high-speed rail projects affect the agglomeration in cities and regions? Transportation Research Part D: Transport and Environment. 2020; 88 ():102561.
Chicago/Turabian StyleHaozhi Pan; Cong Cong; Xiaoling Zhang; Yina Zhang. 2020. "How do high-speed rail projects affect the agglomeration in cities and regions?" Transportation Research Part D: Transport and Environment 88, no. : 102561.
Energy security, food security, and water security have become the three most prominent problems in human survival and sustainable development. The three are interrelated and directly affect each other; that is, there exists a nexus between, energy, food, and water (EFW). A scientific understanding and correct response to this is important for achieving the sustainable development of natural resources. This study uses quantitative analysis to estimate the Central China region's energy-food production water footprint (WF) and virtual trade water flow from 2001 to 2016. It proposes a Modified Water Stress Index (MWSI) associated with virtual water outflows and evaluates the pressure exerted by virtual water flowing out, along with the effect of trade on local water resources systems. The results indicate that the energy and food production WF and virtual trade water flow are on the rise, causing water stress in local and export areas. Based on the adjustment of industrial structure, optimization of production technology, and rational regionalization of ecological divisions, the paper makes comprehensive policy recommendations to ensure the region's sustainable development of water resources for the future.
Shibao Lu; Xiaoling Zhang; Huarong Peng; Martin Skitmore; Xiao Bai; Zhihong Zheng. The energy-food-water nexus: Water footprint of Henan-Hubei-Hunan in China. Renewable and Sustainable Energy Reviews 2020, 135, 110417 .
AMA StyleShibao Lu, Xiaoling Zhang, Huarong Peng, Martin Skitmore, Xiao Bai, Zhihong Zheng. The energy-food-water nexus: Water footprint of Henan-Hubei-Hunan in China. Renewable and Sustainable Energy Reviews. 2020; 135 ():110417.
Chicago/Turabian StyleShibao Lu; Xiaoling Zhang; Huarong Peng; Martin Skitmore; Xiao Bai; Zhihong Zheng. 2020. "The energy-food-water nexus: Water footprint of Henan-Hubei-Hunan in China." Renewable and Sustainable Energy Reviews 135, no. : 110417.
China's rapid urbanization process has pushed rural villages into an urban-rural integration movement. Several modes and approaches have been applied to remake space in rural China, which differ greatly in restructuring outcomes. In response, this article builds on the insights of regime theory to develop a conceptual framework to reveal the mechanism behind China's rural spatial restructuring and seeks to explore the underlying reasons that affect the outcomes. It is found that resource adequacy, the quality of resource coalition, and the effectiveness of implementation determine the rural regime's capacity to manage spatial restructuring. Case studies from Hua County, Chaohu City, and Shenzhen are used to illustrate the conceptual framework's application and facilitate a comparative analysis from the perspective of rural regime capacity. The findings provide a critical rethinking of the “sustainable remaking of rural space”, which could therefore shed light on the rural governance of countries in the global south generally.
Xiaoling Zhang; Mingmin Pan. Emerging rural spatial restructuring regimes in China: A tale of three transitional villages in the urban fringe. Journal of Rural Studies 2020, 1 .
AMA StyleXiaoling Zhang, Mingmin Pan. Emerging rural spatial restructuring regimes in China: A tale of three transitional villages in the urban fringe. Journal of Rural Studies. 2020; ():1.
Chicago/Turabian StyleXiaoling Zhang; Mingmin Pan. 2020. "Emerging rural spatial restructuring regimes in China: A tale of three transitional villages in the urban fringe." Journal of Rural Studies , no. : 1.
Maintaining and improving rural infrastructure is one approach to realize rural revitalization in China. The running of rural infrastructure maintenance projects constructed upon village land generally involves two major problems, which are the lack of institutional rules and a weakening relationship between village cadres and farmers. By extending the IAD Framework, this paper studies how institutional rules, cadre-farmer relationships and their interaction term affect farmer willingness to maintain infrastructure. When involving the utilization and governance of public resources such as collective land, both local resource endowment and farmers’ willingness should be fully considered. The results show that institutional rules and good cadre-farmer relationships can both significantly improve farmer willingness, and strengthen the positive effect of institutional rules on farmer willingness. However, the introduction of the interaction term renders institutional rules insignificant, showing that a good cadre-farmer relationship is necessary for ensuring institutional rules take effect. The results are robust after controlling village heterogeneity. Furthermore, we identify two mechanisms underlying successful cadre-farmer relationships. The first is cadres mobilizing farmers to participate, and the second is enabling farmers to have a better understanding and recognition of institutional rules, thus improving their willingness to participate in rural infrastructure maintenance. This paper concludes by discussing how these findings point to new policy prescriptions surrounding the tragedy of the commons and tragedy of the anti-commons.
Yu Cao; Xiaoling Zhang; Lingxiao He. Collective Action in maintaining rural infrastructures: cadre-farmer relationship, institution rules and their interaction terms. Land Use Policy 2020, 99, 105043 .
AMA StyleYu Cao, Xiaoling Zhang, Lingxiao He. Collective Action in maintaining rural infrastructures: cadre-farmer relationship, institution rules and their interaction terms. Land Use Policy. 2020; 99 ():105043.
Chicago/Turabian StyleYu Cao; Xiaoling Zhang; Lingxiao He. 2020. "Collective Action in maintaining rural infrastructures: cadre-farmer relationship, institution rules and their interaction terms." Land Use Policy 99, no. : 105043.
Currently, China’s environmental regulations are unprecedentedly strict. At the same time, China is emphasizing innovation development in the process of industrial upgrading. However, previous literature has not reached a consensus on the relationship between the environmental regulation and innovation. This paper takes the Yangtze River Delta, the most developed region in China, as an example, and uses the spatial econometric model based on the geographic matrix, economic matrix, and comprehensive relevance matrix of logistics enterprises to fully examine the relationship between urban environmental regulation and innovation development under different spatial interaction perspectives. The results show that: the relation between formal environmental regulation and innovation is inverse U-shaped. Spatial self-selection of environmental regulation in the Yangtze River Delta region weakens the enthusiasm of innovation to a certain extent. This paper argues that the main mechanisms through which environmental regulation affects innovation development are spillover effects and industrial structure effects. Finally, the paper proposes corresponding policy recommendations.
Qian Zhou; Yanan Song; Ningna Wan; Xiaoling Zhang. Non-linear effects of environmental regulation and innovation – Spatial interaction evidence from the Yangtze River Delta in China. Environmental Science & Policy 2020, 114, 263 -274.
AMA StyleQian Zhou, Yanan Song, Ningna Wan, Xiaoling Zhang. Non-linear effects of environmental regulation and innovation – Spatial interaction evidence from the Yangtze River Delta in China. Environmental Science & Policy. 2020; 114 ():263-274.
Chicago/Turabian StyleQian Zhou; Yanan Song; Ningna Wan; Xiaoling Zhang. 2020. "Non-linear effects of environmental regulation and innovation – Spatial interaction evidence from the Yangtze River Delta in China." Environmental Science & Policy 114, no. : 263-274.
Urban resilience is increasingly considered a useful approach to accommodate uncertainties. As an important material basis of the urban system, the land is one of the most promising intermediaries to observe urban resilience and is useful to shape resilience potential through land use management. However, current research into the quantitative assessment of urban resilience on land is underexplored, leaving it largely unpracticed in contemporary planning and policy discourse. Here, we introduce an operational model for understanding city-level resilience on land expansion that integrates economic, social and environmental dimensions of ecosystems. Using multi-source data and employing spatial analysis methods, urban resilience is assessed from 1995 to 2015 in Tianjin, China as an illustration following the phases of the operational model. The results indicate that land expansion has a great influence on urban resilience, given economic resilience increases but simultaneous social and environmental resilience decrease. The findings suggest (i) urban resilience should be incorporated into the planning process that helps to balance the multiple tradeoffs involved; (ii) land use regulations are necessary to manage land by controlling the quantity and quality of land uses; (iii) local governments should be involved to make tailor-made strategies to enhance a concerted action of successful practice.
Mengbing DU; Xiaoling Zhang; Yuhua Wang; Li Tao; Heng Li. An operationalizing model for measuring urban resilience on land expansion. Habitat International 2020, 102, 102206 .
AMA StyleMengbing DU, Xiaoling Zhang, Yuhua Wang, Li Tao, Heng Li. An operationalizing model for measuring urban resilience on land expansion. Habitat International. 2020; 102 ():102206.
Chicago/Turabian StyleMengbing DU; Xiaoling Zhang; Yuhua Wang; Li Tao; Heng Li. 2020. "An operationalizing model for measuring urban resilience on land expansion." Habitat International 102, no. : 102206.
Smart city development plays an important role in achieving urban sustainability. This paper uses mapping of knowledge domain (MKD) analysis to review 965 studies concerning smart city development and urban sustainability (SCDUS). The most influential journals, scholars, articles, keywords, and regions in the SCDUS research field are identified. Research findings also reveal four prevailing topic clusters in the current SCDUS field, namely information technology, energy and environment, urban transportation and mobility, and urban policy and development planning. Potential research frontiers are further proposed. The findings contribute to a better understanding of the development of current SCDUS research.
Zezhou Wu; Mingyang Jiang; Heng Li; Xiaoling Zhang. Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study. Journal of Urban Technology 2020, 28, 29 -53.
AMA StyleZezhou Wu, Mingyang Jiang, Heng Li, Xiaoling Zhang. Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study. Journal of Urban Technology. 2020; 28 (1-2):29-53.
Chicago/Turabian StyleZezhou Wu; Mingyang Jiang; Heng Li; Xiaoling Zhang. 2020. "Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study." Journal of Urban Technology 28, no. 1-2: 29-53.
China has experienced the most serious habitat degradation, especially in fast-growing metropolis cities. Although increasing attentions have been brought to this issue, we still lack the understanding of the quantitative impacts of urbanization and landscape pattern on habitats. In this study, we used the “Integrated Valuation of Environmental Services and Trade-off” (InVEST) model to evaluate the habitat quality in Hangzhou city. We further employed spatial auto-correlation to analyze its spatiotemporal pattern variation characteristics. Finally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to explore the impacts of urbanization and landscape pattern change on habitat quality. The results show that the habitat quality index of Hangzhou decreased from 0.608 to 0.577 during 2004–2015, and these areas mainly located around the suburb decreased significantly. The spatial distribution of habitat quality showed significantly positive spatial auto-correlation, and the overall spatial auto-correlation degree of the habitat quality increased during this time. Rapid urbanization has significant negative effects on habitat quality in various areas, while the magnitude and direction of the impacts of landscape pattern on habitat quality differed in time and space. These results provide decision-making criteria for formulating differential urban development policies and landscape management measures for urban ecological sustainability.
Congmou Zhu; Xiaoling Zhang; Mengmeng Zhou; Shan He; Muye Gan; Lixia Yang; Ke Wang. Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China. Ecological Indicators 2020, 117, 106654 .
AMA StyleCongmou Zhu, Xiaoling Zhang, Mengmeng Zhou, Shan He, Muye Gan, Lixia Yang, Ke Wang. Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China. Ecological Indicators. 2020; 117 ():106654.
Chicago/Turabian StyleCongmou Zhu; Xiaoling Zhang; Mengmeng Zhou; Shan He; Muye Gan; Lixia Yang; Ke Wang. 2020. "Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China." Ecological Indicators 117, no. : 106654.