Inland Regions Of China Research Articles

Comprehensive performance analysis of deep integration and innovative development of logistics and manufacturing industries: A comparison analysis between coastal and inland regions in China

In today's industry development, the integration of manufacturing and logistics industries has received increasing attention from the international community. The Chinese government has set a strategic agenda for the deep integration and innovative development of logistics and manufacturing industries (DIIDLMI). However, it is still unclear what impact DIIDLMI has on the development of two industries. Especially with significant differences in resource endowments, it is interesting to see whether such impacts vary between coastal and inland regions. Therefore, this study focuses on the regional collaborative development mechanism and analyzes the performance of DIIDLMI by using the Spatial Durbin Model with provincial data in China. The analysis result indicates that, first, DIIDLMI has positive local effect and positive spatial spillover effect on digital intelligence technology development of the two industries, positive spatial spillover effect on low-carbon transformation and profit level of the logistics industry, positive local effect on low-carbon transformation of the manufacturing industry, and positive local effect on profit level of the two industries. Second, we also obtain some counterintuitive results, i.e., DIIDLMI has no local effect on low-carbon transformation of the logistics industry, no spatial spillover effect on low-carbon transformation and profit level of the manufacturing industry. Third, compared to coastal regions, DIIDLMI in inland regions has a more positive local effect on digital intelligence technology development of the logistics industry, a more positive spatial spillover effect on low-carbon transformation of the logistics industry, a more positive local effect on low-carbon transformation of the manufacturing industry, and a more positive local effect on profit level of the manufacturing industry. Finally, based on these results, policy recommendations are presented for promoting the related industrial development.

Description of a pathogenic strain of Aeromonas dhakensis isolated from Ancherythroculter nigrocauda in an inland region of China.

Aeromonas dhakensis is reported as an emerging pathogenic species within the genus Aeromonas and is widely distributed in tropical coastal areas. This study provided a detailed description and characterization of a strain of A. dhakensis (202108B1) isolated from diseased Ancherythroculter nigrocauda in an inland region of China. Biochemical tests identified the isolate at the genus level, and the further molecular analysis of concatenated housekeeping gene sequences revealed that the strain belonged to the species A. dhakensis. The isolated A. dhakensis strain was resistant to five antibiotics, namely, penicillin, ampicillin, clindamycin, cephalexin and imipenem, while it was susceptible or showed intermediate resistance to most of the other fifteen tested antibiotics. The isolated strain of A. dhakensis caused acute haemorrhagic septicaemia and tissue damage in artificially infected A. nigrocauda, with a median lethal dose of 7.76×104 CFU/fish. The genome size of strain 202108B1 was 5043286 bp, including one chromosome and four plasmids. This is the first detailed report of the occurrence of infection caused by an A. dhakensis strain causing infection in an aquaculture system in inland China, providing important epidemiological data on this potential pathogenic species.

Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression

In the current field of regional studies, there is a growing focus on regional spatial relationships from the perspective of functional linkages between cities. Inter-city population movement serves as an embodiment of the integrated functionality of cities within a region, and this is closely tied to the socio-economic development of urban areas. This study utilized Location-Based Services (LBSs) to collect the scale of inter-city population movement across 355 cities in China. Additionally, socio-economic data published by local governments were incorporated. By establishing a Multiscale Geographically Weighted Regression (MGWR) model, this research explores the spatial relationships between inter-city population movement and socio-economic influencing factors in China. This study aims to elucidate the spatial scales of the relationships between various variables. Our research findings indicate that the relationship between inter-city population movement and potential socio-economic determinants exhibits spatial non-stationarity. It is better to explore this spatial relationship through the MGWR model as there are different determinants operating on inter-city population movement at different spatial scales. The spatial distribution of the coefficient estimates shows significant regional differences and numerical variations. In China’s economically developed coastal regions, there is relatively balanced development among cities, with advanced manufacturing and producer service industries acting as significant drivers of mobility. In inland regions of China, city size is the most influential variable, directing a substantial flow of human and economic resources towards regional socio-economic hubs such as provincial capitals. The main contribution of this study is the re-examination of the relationship between inter-city population movement and socio-economic factors from the perspective of spatial scales. This approach will help China to consider the heterogeneity of different regions more extensively when formulating regional development policies, thereby facilitating the targeted promotion of regional element flow.

The spatiotemporal trend of human brucellosis in China and driving factors using interpretability analysis

Human brucellosis has reemerged in China, with a distinct change in its geographical distribution. The incidence of human brucellosis has significantly risen in inland regions of China. To gain insights into epidemic characteristics and identify factors influencing the geographic spread of human brucellosis, our study utilized the Extreme Gradient Boosting (XGBoost) algorithm and interpretable machine learning techniques. The results showed a consistent upward trend in the incidence of human brucellosis, with a significant increase of 8.20% from 2004 to 2021 (95% CI: 1.70, 15.10). The northern region continued to face a serious human situation, with a gradual upward trend. Meanwhile, the western and southern regions have experienced a gradual spread of human brucellosis, encompassing all regions of China over the past decade. Further analysis using Shapley Additive Explanations (SHAP) demonstrated that higher Gross Domestic Product (GDP) per capita and increased funding for education have the potential to reduce the spread. Conversely, the expansion of human brucellosis showed a positive correlation with bed availability per 1000 individuals, humidity, railway mileage, and GDP. These findings strongly suggest that socioeconomic factors play a more significant role in the spread of human brucellosis than other factors.

Measurement report: Atmospheric nitrate radical chemistry in the South China Sea influenced by the urban outflow of the Pearl River Delta

Abstract. The nitrate radical (NO3) is a critical nocturnal atmospheric oxidant in the troposphere, which widely affects the fate of air pollutants and regulates air quality. Many previous works have reported the chemistry of NO3 in inland regions of China, while fewer studies target marine regions. Here, we present a field measurement of the NO3 reservoir, dinitrogen pentoxide (N2O5), and related species at a typical marine site (Da Wan Shan Island) located in the South China Sea in the winter of 2021. Two patterns of air masses were captured during the campaign, including the dominant airmass from inland China (IAM) with a percentage of ∼ 84 %, and the airmass from eastern coastal areas (CAM) with ∼ 16 %. During the IAM period, the NO3 production rate reached 1.6 ± 0.9 ppbv h−1 due to the transportation of the polluted urban plume with high NOx and O3. The average nocturnal N2O5 and the calculated NO3 mixing ratios were 119.5 ± 128.6 and 9.9 ± 12.5 pptv, respectively, and the steady-state lifetime of NO3 was 0.5 ± 0.7 min on average, indicating intensive nighttime chemistry and rapid NO3 loss at this site. By examining the reaction of NO3 with volatile organic compounds (VOCs) and N2O5 heterogeneous hydrolysis, we revealed that these two reaction pathways were not responsible for the NO3 loss (< 20 %) since the NO3 reactivity (k(NO3)) towards VOCs was small (5.2×10-3 s−1) and the aerosol loading was low. Instead, NO was proposed to significantly contribute to nocturnal NO3 loss at this site, despite the nocturnal NO concentration always below the parts per billion by volume level and near the instrument detection limit. This might be from the local soil emission or something else. We infer that the nocturnal chemical NO3 reactions would be largely enhanced once without NO emission in the open ocean after the air mass passes through this site, thus highlighting the strong influences of the urban outflow to the downwind marine areas in terms of nighttime chemistry. During the CAM period, nocturnal ozone was higher, while NOx was much lower. The NO3 production was still very fast, with a rate of 1.2 ppbv h−1. With the absence of N2O5 measurement in this period, the NO3 reactivity towards VOCs and N2O5 uptake were calculated to assess NO3 loss processes. We showed that the average k(NO3) from VOCs (56.5 %, 2.6 ± 0.9 × 10−3 s−1) was higher than that from N2O5 uptake (43.5 %, 2.0 ± 1.5 × 10−3 s−1) during the CAM period, indicating a longer NO3 / N2O5 lifetime than that during IAM period. This study improves the understanding of the nocturnal NO3 budget and environmental impacts with the interaction of anthropogenic and natural activities in marine regions.

Place-based Land Allocation Policy and Spatial Misallocation

We study how place-based land allocation policy can create spatial misallocation. Combining microdata and a spatial equilibrium model, we investigate a major policy change of distributing more land to underdeveloped inland regions in China. First, by a method combining RD and DID, we show causal evidence that this inland-favoring policy increased land prices and decreased firm-level TFP in more developed eastern regions relative to inland regions. Second, we build a spatial equilibrium model featuring worker mobility and floor space constraints on housing and production. The inland-favoring policy is neither fair nor efficient. Counterfactuals reveal that national TFP and urban output would have been 7.3% and 2.4% higher in 2010 if the policy had not been implemented. Moreover, wage and income of workers from underdeveloped regions would have increased by 1% to 2%. The inland-favoring policy seems to reduce regional output gaps, however, it actually hurts workers from underdeveloped regions by hindering their migration to developed regions with high wages while causing aggregate TFP and output losses. We then show that instead of the inland-favoring land policy, a direct regional transfer can increase the income of people from underdeveloped regions without causing substantial efficiency loss.

Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China.

Innovation agglomeration plays a decisive role in improving the input–output scale and marginal output efficiency of factors. This paper takes carbon emissions as the unexpected output and energy consumption as the input factor into the traditional output density model. The dynamic spatial panel Durbin model is used to analyze the mechanism for innovation agglomeration and energy intensity to affect carbon emissions from 2004 to 2017 in thirty Chinese provinces. Then, we test the possible mediating effect of energy intensity between innovation agglomeration and carbon emissions. The major findings are as follows. (1) The carbon emission intensity has time-dependence and positive spatial spillover effect. That is, there is a close correlation between current and early carbon emissions, and there is also a high-degree correlation between regional and surrounding areas’ carbon emissions. (2) Carbon emissions keep a classical inverted U-shaped relation with innovation agglomeration, as well as with energy intensity. However, the impact of innovation agglomeration on carbon emissions in inland regions of China does not appear on the right side of the inverted U-shaped curve, while carbon emissions are subject to a positive nonlinear promoting effect from energy intensity. (3) When the logarithm of innovation agglomeration is more than 3.0309, it first shows the inhibition effect on energy intensity. With the logarithm of innovation agglomeration exceeding 5.0100, it will show the dual effect of emission reduction and energy conservation. (4) Energy intensity could work as the intermediary variable of innovation agglomeration’s influence on carbon emissions. Through its various positive externalities, innovation agglomeration can produce a direct impact on carbon emissions, and through energy intensity, it can also affect carbon emissions indirectly.

The Impact of Institutional Distance on Innovation Performance of OFDI Enterprises: Comparison of Coastal and Inland Regions in China

Wang, X. and Qi, Y., 2020. The impact of institutional distance on innovation performance of OFDI Enterprises: Comparison of coastal and inland regions in China. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 166–170. Coconut Creek (Florida), ISSN 0749-0208.Outward Foreign Direct Investment (OFDI) has a certain impact on enterprises' innovation performance through the reverse technology spillover effect. However, China's OFDI is not unevenly distributed, and the OFDI of the coastal economically developed regions has the highest proportion. The large institutional distance between the home country and the host country also affects the effect of OFDI reverse technology spillover on enterprises' innovation performance. This paper uses the moderated multiple regression model to analyze the moderate effects of institutional distance on the relationship between OFDI reverse technology spillover and enterprises' innovation performance, using the data of Shanghai and Shenzhen A-share listed companies over the period of 2008–17. The results show that OFDI reverse technology spillover has a significantly positive effect on innovation performance and that the effect of coastal regions in China is stronger than that of inland regions; formal institutional distance (FID) and informal institutional distance negatively moderate the impact of reverse technology spillover on innovation performance of OFDI enterprises in inland regions, whereas the FID positively moderates the relationship between reverse technology spillover on innovation performance of OFDI enterprises in coastal regions.

In Situ Urbanization in China: Processes, Contributing Factors, and Policy Implications

Based on a review of existing literature and government documents, an analysis of official statistics, and case studies of both coastal and inland regions in several provinces (especially Fujian Province), this paper provides a systematic examination of in situ urbanization in China. The paper first reviews the processes of in situ urbanization and its importance in China’s overall urbanization process, and then examines various factors and mechanisms contributing to its emergence and development. The paper further looks at the changing trends of in situ urbanization in both the coastal and inland regions in China, and discusses the challenges and opportunities these pose, paying particular attention to their implications for the development of areas that have experienced outmigration in the context of the emerging trend of return migration. The paper concludes with a discussion on planning and policy implications of in situ urbanization for China in the context of its National New-type Urbanization Plan, and for other developing countries with similar conditions, and calls for a new developmental approach incorporating migration and in situ urbanization into an integrated framework.

CO 2 emissions in coastal and inland regions in China:Perspectives based on the final products

CO 2 emissions in coastal and inland regions in China:Perspectives based on the final products

Regional Convergence and Sustainable Development in China

Based on the convergence theory of economic growth, this paper extends this concept to the human development index and carries out an empirical analysis of regional development in China between 1997 and 2006. Our research shows that the conditional convergence has been identified. Investment in fixed assets, government expenditure on education, health and infrastructure construction have positive effects on regional convergence of social development. Population weighted analysis of human development index provides support for weak convergence amongst provinces. Analysis of dynamics of regional distribution reveals the club convergence, which indicate two different convergence states. Central China is in the shade and lags behind, giving rise to the so-called “central downfall”. To solve this problem, the “Rise of Central China” Plan is necessary to promote the connection between coastal and inland regions of China and reduce the regional development gap.

Impacts of exchange rate risk and transportation cost on a globally coordinated production plan for an OEM

Transportation costs and exchange rate risk have been significant factors in selection of suppliers in global supply chain management. In this study, we investigate the effects of both of these factors on a global supply chain planner's strategic decisions on working with local or international suppliers. We develop an optimisation model to analyse the impacts of transportation cost and exchange rate risks and show for a coordinated production plan for an original equipment manufacturer (OEM), 1st tier and 2nd tier suppliers located locally or globally. We specifically focus on China (Pearl River Delta and Inland regions), India (Chennai) and Mexico (Baja) for the location of the OEM and its suppliers. We show that appreciation of Chinese currency and higher oil prices would make OEMs in Inland region of China and Mexico more attractive, respectively. India is very cost effective for the global strategic planner to locate OEM if oil prices decrease significantly. Moreover, we investigate the strategic benefit of relocating the OEM, 1st tier and 2nd tier suppliers for a global supply chain planner.

Understanding TFP growth in inland regions of China: an empirical study of the effects of three factors

In this paper, we empirically examine the potential effects of international openness, domestic coastal-inland market integration, and human capital accumulation on TFP growth in inland provinces in China. By using a nonlinear technique as our main regression approach as well as an extended GMM method as robustness checks, we show that human capital accumulation plays an important role in promoting TFP growth in the inland provinces. Our results support the argument that the most important contribution of human capital to income growth lies not in its static, direct effect as an accumulable factor in the production function, but in its dynamic role in promoting TFP growth. Our regression results also provide evidence for the positive roles international openness and domestic coastal-inland market integration play in promoting TFP growth in inland provinces in China.

The fatty acid composition of colostrum in three geographic regions of China.

To describe the fatty acid composition of human colostrum in three different regions of China. Women were recruited from river/lake, coastal and inland regions of China during late pregnancy. Their diet frequency was assessed during the 34th week of pregnancy. Colostrum samples were collected between postpartum days 3 and 5. Thirty-one different fatty acids were separated and identified in colostrum. There were significant differences among the women in the three regions with respect to food and culinary oil consumption patterns. The mean±SD fat content (g/100 g) of colostrum from river/lake, coastal and inland regions was 2.17±1.26, 2.50±1.39 and 2.68±1.26, respectively (p=0.265, adjusted by pregnant women's age). The main saturated, monounsaturated, n-6 polyunsaturated and n-3 polyunsaturated fatty acids in colostrum were 16:0, 18:1n9, 18:2n6 and 18:3n3, respectively. Colostrum from river/lake region had the lowest composition of total SFA and of total n-6 PUFA and the highest composition of total MUFA and of total n-3 PUFA. The amount of DHA (22:6n3) in colostrum (mean±SD, % wt/wt) was 0.51±0.18, 0.52±0.20 and 0.35±0.13 in the river/lake, coastal and inland regions, respectively (p=0.0002, adjusted by pregnant women's age). Frequency of maternal marine fish intake during the late pregnancy was positively correlated with DHA in colostrum (r=0.203, p=0.040). The fatty acid composition of colostrum differs across geographical regions in China, which may be related to differences in maternal dietary pattern.

Immune factors and fatty acid composition in human milk from river/lake, coastal and inland regions of China

Breast milk fatty acid composition may be affected by the maternal diet during gestation and lactation. The influence of dietary and breastmilk fatty acids on breast milk immune factors is poorly defined. We determined the fatty acid composition and immune factor concentrations of breast milk from women residing in river/lake, coastal and inland regions of China, which differ in their consumption of lean fish and oily fish. Breast milk samples were collected on days 3–5 (colostrum), 14 and 28 post-partum (PP) and analysed for soluble CD14 (sCD14), transforming growth factor (TGF)-b1, TGF-b2, secretory IgA (sIgA) and fatty acids. The fatty acid composition of breast milk differed between the regions and with time PP. The concentrations of all four immune factors in breast milk decreased over time, with sCD14, sIgA and TGF-b1 being highest in the colostrum in the river and lake region. Breast milk DHA and arachidonic acid (AA) were positively associated, and g-linolenic acid and EPA negatively associated, with the concentrations of each of the four immune factors. In conclusion, breast milk fatty acids and immune factors differ between the regions in China characterised by different patterns of fish consumption and change during the course of lactation. A higher breast milk DHA and AA concentration is associated with higher concentrations of immune factors in breast milk, suggesting a role for these fatty acids in promoting gastrointestinal and immune maturation of the infant.

Hydroxylated polybrominated diphenyl ethers (OH-PBDEs) in biosolids from municipal wastewater treatment plants in China

Hydroxylated polybrominated diphenyl ethers (OH-PBDEs) along with methoxylated polybrominated diphenyl ethers (MeO-PBDEs) have been frequently identified as natural compounds in marine environment and also assumed as metabolites of PBDEs. In the present study, nine OH-PBDE, nine MeO-PBDE and 10 PBDE congeners were studied in the sewage sludge collected from 36 municipal wastewater treatment plants (WWTPs) in 27 cities of China. The results suggest that OH-PBDEs and PBDEs are ubiquitous in sewage sludge in China, however, methoxylated PBDEs were not detectable. Composition profiles of detected OH-PBDE congeners were different depending on the sampling location. ΣOH-PBDEs in WWTPs sludge ranged from 0.04 to 2.24ngg−1 dry weight (mean: 0.35ngg−1 dry weight). The total amount of the two most prominent congeners (6-OH-BDE-47+2′-OH-BDE-68) accounted for about 53.3–100% of the sum of all six identified congeners. A significant linear relationship was found between 6-OH-BDE-47 and 2′-OH-BDE-68. A distinct geographical distribution of ΣOH-PBDEs was observed with greater concentrations of OH-PBDEs at coastal areas than inland regions in China.

In Inland China, Rice, Rather than Fish, Is the Major Pathway for Methylmercury Exposure

BackgroundFish consumption is considered the primary pathway of methylmercury (MeHg) exposure for most people in the world. However, in the inland regions of China, most of the residents eat little fish, but they live in areas where a significant amount of mercury (Hg) is present in the environment.ObjectivesWe assessed concentrations of total Hg and MeHg in samples of water, air, agricultural products, and other exposure media to determine the main exposure pathway of Hg in populations in inland China.MethodsWe selected Guizhou Province for our study because it is highly contaminated with Hg and therefore is representative of other Hg-contaminated areas in China. We selected four study locations in Guizhou Province: three that represent typical environments with severe Hg pollution [due to Hg mining and smelting (Wanshan), traditional zinc smelting (recently closed; Weining), and heavy coal-based industry (Qingzhen)], and a village in a remote nature reserve (Leigong).ResultsThe probable daily intake (PDI) of MeHg for an adult population based on 60 kg body weight (bw) was considerably higher in Wanshan than in the other three locations. With an average PDI of 0.096 μg/kg bw/day (range, 0.015–0.45 μg/kg bw/day), approximately 34% of the inhabitants in Wanshan exceeded the reference dose of 0.1 μg/kg bw/day established by the U.S. Environmental Protection Agency. The PDI of MeHg for residents in the three other locations were all well below 0.1 μg/kg bw/day (averages from 0.017 to 0.023 μg/kg bw/day, with a maximum of 0.095 μg/kg bw/day). In all four areas, rice consumption accounted for 94–96% of the PDI of MeHg.ConclusionWe found that rice consumption is by far the most important MeHg exposure route; however, most of the residents (except those in Hg-mining areas) have low PDIs of MeHg.

Industrial development in the inland region of China: A case study of the motorcycle industry

Although the inland region of China has generally been left behind in economic development compared with the coastal region, the motorcycle industry in Chongqing has recorded remarkable growth due to the meteoric rise of private enterprises over the last decade. Based on panel data of enterprises, we attempt to identify the factors behind the dynamic development of this industry. We conclude that the success of the motorcycle industry in Chongqing is attributable to a combination of positive features from the Wenzhou model in the 1990s, in which industrial development is based on clustering of private enterprises, and the Sunan model in the 1980s, in which industrial development is based on the effective use of human resources recruited from existing state-owned enterprises (SOEs). Learning by collective enterprises from SOEs in Chongqing coupled with the growth of the private enterprise sector fostered cluster-based industrial development. Journal of Comparative Economics 34 (4) (2006) 818–838.

Process of Changes in Product Efficiency and Expansion of Export of the Industry in Inland Region of China: The Case of Motorcycle Industry in Chongqing 1995-2001

Process of Changes in Product Efficiency and Expansion of Export of the Industry in Inland Region of China: The Case of Motorcycle Industry in Chongqing 1995-2001

Limited linkages from growth engines and regional disparities in China

Pronounced disparities in income and economic opportunities exist between the coastal and the inland regions of China. This paper explores the proposition that regional disparities in China are related intimately to the structure of exports and foreign direct investment, which results in limited linkages from the growth engines. The spillover and migration effects of exports and FDI on regional income inequalities are investigated. The emphasis on FDI-driven, labor-intensive, processing-type exports in the coastal regions has attracted relatively mobile and efficient resources from the inland regions, but it has offered only limited growth linkages to those regions. This reallocation of resources has exacerbated the backwardness of the inland regions. Journal of Comparative Economics 32 (1) (2004) 148–164.