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Lilin Zou is an associate professor in School of Public Management, Huaqiao University. He got his PhD degree from China University of Geosciences. His-research interests are in agriculture non-point pollution, resources and environment management, land use function. His-research has appeared in the Journal of Environmental Management, Land Use Policy, Habitat International, Journal of Cleaner Production, among others.
Natural ecological protection in protected areas involves the restriction of land use patterns and their intensity. Typically, the goal of land use is to balance environmental protection with community development. Nature education and ecological experiences in protected areas encourage visitor environmentally responsible behavior (ERB) which supports the sustainable use of land in national parks and reduces the degradation of natural environments. The existing research literature has a focus on ways of facilitating ERB through rational and external influences. However, individual behaviors are contextual and specific situations affect behavior. This research used environmental knowledge as a rational factor and situations were viewed as a moderator in stimulating ERB based on situational cognition theory. A knowledge-situation-behavior latent variable moderator model was constructed and tested with visitor survey data from Shennongjia National Park, Hubei Province, China. The findings showed that situations had a significant positive moderating effect on the relationship between environmental knowledge and ERB. Books, articles, authors and familiar people had a significant positive moderating effect on ERB, as did environmental interpretation and staff guidance. Precise measures to promote the ERB of national park visitors were proposed.
Yan Gao; Lilin Zou; Alastair M. Morrison; Fanglin Wu. Do Situations Influence the Environmentally Responsible Behaviors of National Park Visitors? Survey from Shennongjia National Park, Hubei Province, China. Land 2021, 10, 891 .
AMA StyleYan Gao, Lilin Zou, Alastair M. Morrison, Fanglin Wu. Do Situations Influence the Environmentally Responsible Behaviors of National Park Visitors? Survey from Shennongjia National Park, Hubei Province, China. Land. 2021; 10 (9):891.
Chicago/Turabian StyleYan Gao; Lilin Zou; Alastair M. Morrison; Fanglin Wu. 2021. "Do Situations Influence the Environmentally Responsible Behaviors of National Park Visitors? Survey from Shennongjia National Park, Hubei Province, China." Land 10, no. 9: 891.
Excessive use of agricultural chemicals and unreasonable utilization of agricultural wastes have led to severe agricultural non-point source pollution (ANPSP) problems in China. Based on the agricultural pollution loads and pollution control strength, the ecological risk index (ERI) was constructed and was used to explore the spatial-temporal pattern of agricultural ecological risks in China during 1978–2017. The findings indicated that Chinese agricultural ERI was gradually increased from 0.031 to 0.348 in 1978–2017, which has the same phased change characteristics as the succession of agricultural policies. At present, the ecological risk grade of ANPSP was present in the stair-step distribution characteristics of “high in the east and south and low in the west and north” as a whole. Southern China, as the main producing area of aquatic products, had the higher ecological risks. Northeastern China, the Huang-Huai-Hai Area, and the middle and lower reaches of the Yangtze River, as the grain-producing bases, had moderate ecological risks, but Southwestern China and Northwestern China with the poor agricultural production conditions had the lower ecological risks. It evidently showed that the ecological risk problems faced by the high-quality development of Chinese agricultural industrialization are increasingly severe.
Lilin Zou; Yongsheng Wang; Yansui Liu. Spatial-temporal evolution of agricultural ecological risks in China in recent 40 years. Environmental Science and Pollution Research 2021, 1 -16.
AMA StyleLilin Zou, Yongsheng Wang, Yansui Liu. Spatial-temporal evolution of agricultural ecological risks in China in recent 40 years. Environmental Science and Pollution Research. 2021; ():1-16.
Chicago/Turabian StyleLilin Zou; Yongsheng Wang; Yansui Liu. 2021. "Spatial-temporal evolution of agricultural ecological risks in China in recent 40 years." Environmental Science and Pollution Research , no. : 1-16.
With the development of global urbanization, land use conflicts have become one of the major issues hindering sustainable land use and human-environment coordination in urbanized areas. In this context, reconciliation of land use conflicts requires urgent attention. By taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration as a case study area, the spatial comprehensive conflict index (SCCI) was constructed to identify and evaluate land use conflicts. Besides, the impacts of rapid urbanization and terrain restriction on land use conflicts were also explored using the coupling coordination degree (CCD) model and terrain index, respectively. Then, the Dyna-CLUE model was adopted to simulate land use conflicts under three adaptive scenarios in 2030. Results show that: (1) During 2000–2015, land use conflicts in the BTH region demonstrated an overall mitigating trend, and their spatial patterns remained relatively stable, characterized by significant cluster and belt agglomeration. (2) Land use conflicts were significantly intensified in areas experiencing rapid urban-rural transformation and terrain transition, and two typical conflict zones were identified, i.e. the urban-rural interface of the Beijing-Tianjin region and the terrain transition area located in the Taihang Mountains, Yan Mountains and Bashang Plateau. (3) In 2030, land use conflicts in the BTH region manifest overall mitigation under the ecological security (ES) scenario, while demonstrating an intensifying trend under the business as usual (BAU) scenario and cropland protection (CP) scenario. Based on simulation results, land use spatial optimization modes at county level for the BTH region were formulated. In face of increasingly prominent land use conflicts globally, this study will provide a scientific reference for policymaking in pursuit of sustainable land use management for the BTH region and urban agglomerations in other parts of the world.
Wenkai Bao; Yuanyuan Yang; Lilin Zou. How to reconcile land use conflicts in mega urban agglomeration? A scenario-based study in the Beijing-Tianjin-Hebei region, China. Journal of Environmental Management 2021, 296, 113168 .
AMA StyleWenkai Bao, Yuanyuan Yang, Lilin Zou. How to reconcile land use conflicts in mega urban agglomeration? A scenario-based study in the Beijing-Tianjin-Hebei region, China. Journal of Environmental Management. 2021; 296 ():113168.
Chicago/Turabian StyleWenkai Bao; Yuanyuan Yang; Lilin Zou. 2021. "How to reconcile land use conflicts in mega urban agglomeration? A scenario-based study in the Beijing-Tianjin-Hebei region, China." Journal of Environmental Management 296, no. : 113168.
Rapid urbanization in China has worsened the sustainable utilization of limited cultivated land resources, which seriously threatens food security and ecological security. To realize maximum benefits and minimize environmental pollution, the eco-efficiency of cultivated land utilization (ECLU) is becoming a vital indicator in weighing the rationality of regional land use. However, conceptualization of the ECLU remains lacking, while assessments of this indicator are still incomplete. This lack of information may inhibit planning guideline for the sustainable development of cultivated land resources. Thus, this study attempts to fill this gap by customizing a new conceptual index system for the ECLU and measuring it using the slack-based measure with undesirable output (SBM-Undesirable) model in the Yangtze River Economic Belt (YREB) during the period 2001–2018. Spatial econometric models were used to further analyze the influencing factors of the ECLU. The average ECLU value in the YREB declined from 2001 to 2004, and then rapidly trended upward in 2005–2018. The lower reaches had the highest efficiency, followed by the middle and upper reaches, with respective values of 0.494, 0.628, and 0.683. The spatial–temporal pattern of the ECLU reveals that the number of areas with low and medium-low efficiency decreased gradually, while the number of areas with medium-high and high efficiency increased continuously. The magnitude and direction of influencing factors indicates that socioeconomic development level, agricultural science and technology investments, carbon emission reducing, and agricultural pollution control could effectively improve the ECLU. These findings have important implications for promoting high-efficient, low-carbon utilization of cultivated land resources and sustainable regional development in China.
Bin Yang; Zhanqi Wang; Lei Zou; Lilin Zou; Hongwei Zhang. Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018. Journal of Environmental Management 2021, 294, 112939 .
AMA StyleBin Yang, Zhanqi Wang, Lei Zou, Lilin Zou, Hongwei Zhang. Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018. Journal of Environmental Management. 2021; 294 ():112939.
Chicago/Turabian StyleBin Yang; Zhanqi Wang; Lei Zou; Lilin Zou; Hongwei Zhang. 2021. "Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018." Journal of Environmental Management 294, no. : 112939.
This research explored the impact of culture on farmer willingness to transfer rural land. Data from 30 interviews and 537 valid survey questionnaires were collected in three villages in Zhangzhou, Fujian, China that are representative of typical Southern Fujian culture. First, a qualitative analysis was conducted based on interview data using NVivo11. Thereafter, a quantitative analysis using structural equation modeling was completed. The results of the field interviews indicated that cultural, economic, and individual factors were the three main influences on willingness of farmers to transfer land. Cultural factors were further classified into folk, religious, language, and family cultures. Religious belief culture had a significant negative impact on farmer willingness to transfer land, while language, family, and folk cultures had significant positive associations with farmer land transfer intentions. It was found that rural culture had a significant influence on farmer willingness to transfer land. The findings will help in developing a more comprehensive theoretical framework for research on this topic.
Jianying Wang; Yumei Xu; Lilin Zou; Ying Wang. Does Culture Affect Farmer Willingness to Transfer Rural Land? Evidence from Southern Fujian, China. Land 2021, 10, 594 .
AMA StyleJianying Wang, Yumei Xu, Lilin Zou, Ying Wang. Does Culture Affect Farmer Willingness to Transfer Rural Land? Evidence from Southern Fujian, China. Land. 2021; 10 (6):594.
Chicago/Turabian StyleJianying Wang; Yumei Xu; Lilin Zou; Ying Wang. 2021. "Does Culture Affect Farmer Willingness to Transfer Rural Land? Evidence from Southern Fujian, China." Land 10, no. 6: 594.
The rapid advancement of urbanization and industrialization has led to the continuous strengthening of multi-functionality of land use. The overlapping, crowding, agglomeration and transformation of various land use functions suggested that there would be fierce competition and conflicts. Based on the widely recognized “ecological-production-living” perspective of sustainable development in the world, we constructed the spatial identification and intensity diagnosis model of potential land use function conflicts (LUFCs), and selected Nan’an City, a typical coastal city in southeast China, as an empirical analysis. On the level of theoretical building, the LUFCs were divided into eight types, the conflict intensity was divided into four stages, and a land use conflict risk index (LUCRI) was constructed to characterize the possibility of potential conflict, which was divided into four ranks. Empirical research showed that the spatial concentration characteristic of ecological function of land use in Nan’an City was not significant and was poor spatial connectivity, while the gradient and band feature of production function was significant and was good spatial connectivity, and living function have formed three core clusters. The controllable conflict zones gathered and formed cold spots in high altitude forest areas, as well as the out-of-control conflict zones gathering and forming hot spots in concentrated areas of social and economic activities. The area proportions of different conflict types respectively were 1.79%, 18.07%, 23.17%, 13.49%, 8.00%, 13.66%, 20.34% and 1.49%. The whole study area was basically at risk of potential conflicts, with the area proportions accounting for 55.28%, 30.19%, 12.30% and 2.23%. Different governance strategies should be adopted according to the spatial distribution, manifestation and conflict degree. The model and index constructed in this paper could accurately reflect the actual situation of land use in fast-growing areas, which would provide reference for land space planning and management.
Lilin Zou; Yansui Liu; Jianying Wang; Yuanyuan Yang. An analysis of land use conflict potentials based on ecological-production-living function in the southeast coastal area of China. Ecological Indicators 2020, 122, 107297 .
AMA StyleLilin Zou, Yansui Liu, Jianying Wang, Yuanyuan Yang. An analysis of land use conflict potentials based on ecological-production-living function in the southeast coastal area of China. Ecological Indicators. 2020; 122 ():107297.
Chicago/Turabian StyleLilin Zou; Yansui Liu; Jianying Wang; Yuanyuan Yang. 2020. "An analysis of land use conflict potentials based on ecological-production-living function in the southeast coastal area of China." Ecological Indicators 122, no. : 107297.
During rapid urbanization, trends for urban land prices show continuous growth. Identifying directional land prices gradients is important to guide land management effectively. This study seeks to grasp the spatial direction of residential land price variations influenced by rapid urban land expansion. After analyzing the conceptual framework for urban land expansion and spatial direction of residential land price variations, the spatial interaction effect was explained. Then, geographically weighted regression (GWR) analysis was conducted for a study site in Wuhan, central China, using datasets for residential land prices in 2001, 2007, and 2014. Based on the relationships between residential land expansion and in land price variations, their intermediate variables were selected to establish an evaluation system. GWR analysis provided the spatial distributions of estimated coefficients for three representative location determinants (the distance to the nearest center business district, lake, and arterial road). The results suggest that residential land prices are characterized by obvious spatial direction in residential land expansion. The spatial distribution of residential land prices is reshaped with the formation of an urban (sub-)center, showing a centrifugal development model as a whole. The premium for lakeside property gradually increased as well, which resulted in higher marginal values in prosperous districts, while large lake accessibility had a heterogeneous impact on residential land prices. Proximity to arterial roads had a more obvious impact on land premium in the suburbs than in the central district. This study finally discussed the trends of local variation for spatial direction of residential land prices and analyzed the risks of residential land expansion in the study area.
Shengfu Yang; Shougeng Hu; Siliang Wang; Lilin Zou. Effects of rapid urban land expansion on the spatial direction of residential land prices: Evidence from Wuhan, China. Habitat International 2020, 101, 102186 .
AMA StyleShengfu Yang, Shougeng Hu, Siliang Wang, Lilin Zou. Effects of rapid urban land expansion on the spatial direction of residential land prices: Evidence from Wuhan, China. Habitat International. 2020; 101 ():102186.
Chicago/Turabian StyleShengfu Yang; Shougeng Hu; Siliang Wang; Lilin Zou. 2020. "Effects of rapid urban land expansion on the spatial direction of residential land prices: Evidence from Wuhan, China." Habitat International 101, no. : 102186.
Chinese agricultural output has been multiple under the intensive input of production factors since the reform and opening-up. Such a growth pattern that realizes high output through high input results in increasingly prominent environmental pollution problems. Considering the provincial panel data in China during 1978–2017 as the research units and taking agriculture in broad sense as the study object, the agricultural eco-efficiency (AEE) was measured by the Super-SBM Model, and the influencing factors were screened out from agricultural basic condition, agricultural industrial structure, agricultural development potential and agricultural input strength. The findings indicated that agricultural expected output and unexpected output were synchronously increased, while the change of input factors was totally different and gradually transferred to materiality from resources. In 1978–2017, AEE was increased to 0.713 from 0.405, with an increase of about 76%. And it approximately underwent four stages, including free development, reform promotion, market regulation and policy incentives. Under the resource restraint and policy incentives, AEE showed that Northeast, East and South China were higher than the national average level. North and Central China basically fitted for the national average level, and Southwest and Northwest China were lower than the national average level. Also, it was successively present in some spatial characteristics including polarization, differentiation, agglomeration and reconstruction on the provincial scale. The magnitude and direction of influencing factors indicated that the introduction of subsidy policies for compound fertilizers, an increase of farmers’ incomes, optimization of agricultural plantation structure, and maintenance of stable agricultural product prices could effectively improve AEE.
Yansui Liu; Lilin Zou; Yongsheng Wang. Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years. Land Use Policy 2020, 97, 104794 .
AMA StyleYansui Liu, Lilin Zou, Yongsheng Wang. Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years. Land Use Policy. 2020; 97 ():104794.
Chicago/Turabian StyleYansui Liu; Lilin Zou; Yongsheng Wang. 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years." Land Use Policy 97, no. : 104794.
China's successful agriculture development has resulted in public concerned environmental problems. However, continuous and detailed data about Chinese agricultural non-point source pollution (ANPSP) loads are lacking. To assess and analyze Chinese ANPSP loads from 1978 to 2017, an inventory analysis was performed, and a socioeconomic and spatiotemporal analysis in the scale of provinces was conducted. The results showed that the pollution loads of chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) increased by 91.0%, 196.2% and 244.1%, respectively, and their variation underwent a free development stage, reform promotion stage, market regulation stage and policy incentive stage. The results of the pollution source analysis showed that over the past 40 years, the total percent contribution to COD by livestock and poultry breeding (LPB) and rural household waste (RHW) accounted for 83.1%–96.6%, the total percent contribution to TN by mineral fertilizers (MF) and LPB accounted for 72.3%–80.8%, and the total percent contribution to TP by LPB, RHW and MF accounted for 69.1%–88.6%. In addition, Shandong, Guangdong, Sichuan, and Henan were the top producers of ANPSP loads, and their COD, TN, and TP loads accounted for approximately 32%, 30%, and 35% of the national totals, respectively. The discharge intensity of COD, TN and TP decreased by 79.2%, 67.8%, and 62.6%, respectively. The discharge intensity exhibited a phasic feature that aligned with the national economic plan in the temporal scale and was closely related to the agricultural conditions in the spatial scale.
Lilin Zou; Yansui Liu; Yongsheng Wang; Xuedong Hu. Assessment and analysis of agricultural non-point source pollution loads in China: 1978–2017. Journal of Environmental Management 2020, 263, 110400 .
AMA StyleLilin Zou, Yansui Liu, Yongsheng Wang, Xuedong Hu. Assessment and analysis of agricultural non-point source pollution loads in China: 1978–2017. Journal of Environmental Management. 2020; 263 ():110400.
Chicago/Turabian StyleLilin Zou; Yansui Liu; Yongsheng Wang; Xuedong Hu. 2020. "Assessment and analysis of agricultural non-point source pollution loads in China: 1978–2017." Journal of Environmental Management 263, no. : 110400.