Growth and Change最新文献

This paper explores the roles of different types of technological proximity on the interregional spillovers of innovation growth. Using a panel dataset containing Chinese province patents and R&D inputs from 2002 to 2019, this paper estimates a knowledge production function with the spatial weight matrices constructed based on the linkage-based and structure-based technological proximity. We find that the two types of technological proximity are significantly different and their contributions to interregional innovation spillovers differ. The structure-based proximity shows a lower influence on spillovers and its effect in the process of interregional innovation spillovers is affected by the regional development level. This paper originates to clarify two conceptualizations of technological proximity, compare their influences on innovation spillovers, and explore their regional differences.

The economic hierarchy index, economic linkage model, and economic membership model are used to study the economic hierarchy, linkage, and direction of Northeast China and Russian Far East from 2005 to 2020, using the three northeastern provinces of China and 11 Far East federal subjects of Russia as the research objects. The findings are as follows: (1) There is a major polarization effect between developed affluent economic regions and stagnant isolated backward regions in the economic rankings in the 11 Russian Far East federal subjects from 2005 to 2020. (2) The three northeastern provinces of China have more economic linkages with their near Russian neighbors— the east-oriented Primorsky Territory, the north-oriented Amur Region, and the north-oriented Khabarovsk Territory, than with their farther neighbors— the Chukotka Autonomous Area, Magadan Region, and Kamchatka Territory. (3) From 2005 to 2020, the Primorsky Territory has been serving as the focal point of economic linkages between Russian Far East and Northeast China, showing the expanding outward pattern resembling the concentric circles.

The information services (IS) industry, which facilitates industrial transformation and upgrading, has emerged as a key driving force behind China's economic growth in recent years. More evidence can be accumulated from the Pearl River Delta (PRD), one of the largest transforming economies and IS gathering region in China. Firstly, this paper investigates the spatial patterns and dynamics of IS agglomeration in the PRD from 2003 to 2018, using the spatial autocorrelation analysis and Kernel density analysis. Secondly, a dynamic panel model with a system generalized method of moments (SYS-GMM) estimation is employed to identify the factors significantly influencing the industry agglomeration economy. Results show that: (1) Large firms continue to gather in the core area of major cities, while smaller firms show a more balanced distribution from the core to periphery regions. The spatial proximity of firms proves that micro firms benefit less from industrial agglomeration compared to larger ones. (2) The effects of agglomeration externalities on economic growth remains positive, with labor force and commuting costs playing a vital role in the expansion of the IS industry. By integrating geo-spatial information and empirical evidence, this study contributes to China's understanding and experience as a late-developing country in the digital economy era. Finally, policies supporting small and medium enterprises (SMEs), improving the effectiveness of government subsidies, and strengthening industry-university research cooperation are proposed.

Over the past few decades, China has undergone an unprecedented structural transformation, stupendously transforming its energy and environmental systems and decarbonizing pathways. Nevertheless, around the share of clean and renewable energy generation with the goal of low-carbon, it is still ambiguous how the dynamic relationship between the upgrading of grid infrastructure, interregional power trading and the investment and economic foundation that support their collaborative promotion forms. Thus, under the framework of panel vector autoregressive models, we study the bridge that links the key dominant factors in the pattern of electricity supply and demand such as grid infrastructure, power generation share of clean and renewable energy, net power input and carbon emissions. The results show that the governance framework dominated by power grid infrastructure upgrading, interregional power input dependence and carbon constraint mechanism to promote clean-oriented energy mix is still flawed. In addition to improve the utilization rate of power grid infrastructure, relevant policy makers should devote more efforts to software conditions including interregional and interprovincial power trading and grid-connecting mechanisms of clean and renewable energy.

Shift-share analysis has been extensively used to investigate the different drivers of changes in socioeconomic variables in both spatial and non-spatial contexts. This paper presents a comprehensive shift-share formulation that, by considering all the possible interactions between the geographical and sectoral variables that interplay in a non-spatial context, accounts for the intrinsic conditions of the regions that could affect the regional changes when spatial influences are not detected. The proposed technique is illustrated by analyzing the growth of industrial gross value added in the Spanish provinces between 2015 and 2019. Our results show the relevance of the intrinsic effects: the advantages (disadvantages) of the industrial sector within each province and the regional dynamism are important factors to explain the industrial changes in the Spanish regions. These findings provide evidence for the use of the comprehensive shift-share as a tool that contribute to the regional analysis by identifying the characteristics of vulnerable regions that require further attention to avoid or lessen the effects of low economic growth.

In urbanization, achieving common prosperity is a common complication faced by human society in the process of development. The citizenship of the agricultural transfer population (CRM) is a vital urbanization goal in developing countries. However, there is rare empirical evidence on the citizenship of agricultural migrants and property income. The relaxation of household registration restrictions and property policy changes under China's new urbanization plan provide crucial material for the test of their causal effects. The results of this study suggest that the citizenship of the agricultural transfer population can be divided into two stages: identity conversion and service sharing. Both the initial household registration conversion and the later service sharing are conducive to the growth of property income of the residents who have switched from agriculture to non-agriculture. Besides, the increase in transfer length of the “rural-to-non-native” residents further strengthens the positive effect of service parity on property income. This implies that governments and relevant authorities in developing countries should emphasize the construction of a policy system for equalizing basic public services to facilitate the reduction of income disparity while stimulating economic growth. Additionally, the mechanism analysis reveals that the underlying logic of the citizenship of agricultural migrants lies in the ability to enrich total property, adjust asset allocation behavior, reinforce the efficiency of financial asset allocation, and achieve an increase in property income. The quantitative results of this study provide effective information for future sustainable urban development, especially for rational urbanization in developing countries.

The labor movement from rural areas and the remittance flow from migrants is a common household livelihood strategy in rural Bangladesh. While migration can offer economic benefits through remittances, it can be a source of hardship for migrants and their families due to societal culture. This study examines the differences in farm productivity and technical efficiency between female and male labor migrants by focusing on female and male laborers who have lived away from their homes for 6 months or more within the country and its reflection on farm production. Using data on 2271 rice plots from Bangladesh Integrated Households Survey in 2018, we estimate plot-level stochastic meta-frontier approach for households with female-labor migrants and male-labor migrants separately emphasizing technological difference and heteroskedastic technical efficiency. The empirical result shows that the female-labor migrants' farms have 10.3% lower production frontier (maximum frontier yield) and 6.1% higher technical efficiency than male migrants' farms, indicating that they have 4.2% lower productivity. Lower production frontier reflects lower management ability and less attention to farm practice. Moreover, the study reveals that female-labor migrants' farms are closer to the meta-frontier, suggesting smaller technology gaps. However, some farmers failed to achieve the highest possible output in relation to the meta-frontier, indicating that farmers can boost their production by adopting and disseminating new rice production technology.

New models of agglomeration cast the urban productivity premium as the outcome of agglomeration economies, a spatial sorting of skilled entrepreneurs and greater selection effects leading to less, but more productive businesses. We provide descriptive evidence of the spatial distribution of growing early-stage businesses in Chile that concurs with the theory. We show, first, that while business entry rates increase systematically with the size of a region, the rates of growing early-stage businesses are not related to the levels of agglomeration. Second, we show that, on the contrary, average early-stage business productivity, the levels of human capital and business exit rates all relate positively with agglomeration. Third, we estimate regression models that verify the expected relationships between agglomeration factors and regional growing early-stage-business activity. The results for Chile suggest that the disadvantages of agglomeration largely offset the benefits, and therefore there is no obvious location penalty to venturing in peripheral areas. Entrepreneurship policies in less-developed countries should not target excessively to specific industries and regions, as they might curtail an entrepreneurial potential that is ubiquitous.

As land is one of the most important production factors in rural areas, it is becoming an important challenge for rural revitalization strategy to realize land value and promote the socioeconomic development of villages through the collective action of self-organized collective land use. Various studies have discussed the relationships among land governance, rural revitalization and self-organization, but few studies have focused on village cadres' roles and village rules. This paper aims to establish an analytical framework to explore these two operating mechanisms of self-organization in collective land use. Two villages in eastern China and one village in western China are selected as typical cases to demonstrate how collective land use is self-organized by village cadres' roles and village rules. The results indicate that village cadres play roles in the entrepreneurial spirit and resource access capacity to promote village economic and social development. In the utilization of collective land for farmers to live in peace and work happily, the configuration of rules at the village level to regulate the behaviour of villagers is a qualification on demand and “see who can take part”, cost sharing and benefit sharing, graduated sanction and supervision. The analysis in this article may provide an understanding of the mechanism driving the promotion and improvement of land self-organization, which has important policy implications for China and other developing countries adopting this mode to promote regional economic development in rural areas.

Green innovation (GI) can enable win‒win style economic and ecological benefits. Using China's pilot scheme for the construction of the intellectual property protection (IPP) system as an example, this paper empirically tests the impact of IPP system reform on the GI level and its spatial spillover effect. The results show that IPP system reform has significantly promoted urban GI, indicating that a progressive reform model characterized by experimentalist governance is applicable to innovation policy practices in developing countries. The dynamic effect analysis shows that IPP system reform can be applied to continuously promote urban GI. The mechanism analysis shows that such use of IPP system reform can improve the level of urban GI by promoting investment and talent agglomeration, confirming the viewpoint of the institutionalist school. The heterogeneity analysis shows that IPP system reform plays a stronger role in promoting GI in peripheral cities than in central cities, in cities with lower rather than higher scientific and educational levels and in cities with weaker rather than stronger GI capacity. Consistent with the theory of institutional diffusion, IPP system reform has a significant spatial spillover effect, promoting GI activities in surrounding cities while working to improve the local GI level. This paper affirms the effectiveness of the pilot regional innovation policy with Chinese characteristics, with important theoretical significance.