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At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities.

According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model.

The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities.

From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making.

The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

The purpose of this paper is to reveal the paradox between diversification and specialization from a dynamic perspective. More precisely, this paper will analyze the impact of diversification and specialization as well as their interaction on regional innovation in different development stages.

Based on the principles of new economic geography and innovation geography, data from 30 provinces from 2001 to 2017 was used to explore the relationship. Least squares regressions with fix effect were used to examine the hypotheses.

The results show that both diversification and specialization have a significant and positive impact on regional innovation. The interaction of diversification and specialization also significantly and positively impacts regional innovation. The effect of industrial agglomeration is heterogeneity under different development stages.

This paper verifies the positive role of diversification and specialization and their interaction in promoting regional innovation. The impact of industrial agglomeration on innovation is dynamic and changes with the regional development process. Emerging economies should make appropriate industrial agglomeration strategies according to their development stages.

This paper introduces diversification, specialization and their interaction into the research framework at the same time to analyze their impact on innovation performance which deepened the research of industrial agglomeration. Taking China as an example, this paper also examines the impact of industrial agglomeration on regional innovation in different development stages that expands the dynamic perspective of industrial agglomeration.

Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.

Based on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.

The empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.

This paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.

In traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.

The authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.

The improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

This paper aims to estimate the effect of agglomeration on the probability of being an informal firm in Cali, Colombia. Informal firms produce legal goods but do not comply with official regulations. This issue is relevant because, similar to other developing countries, the informal sector in Colombia employs more than 50 per cent of the workforce. The results of this study demonstrate that one standard deviation increase in agglomeration reduces by 52 per cent the probability of being informal. Results are consistent with the idea that informal firms benefit less from agglomeration because of legal restrictions that block the relationship with formal firms.

The objective of the present paper is to estimate the effect of agglomeration on the probability that a firm – given a location – chooses to be informal. The authors deal with endogeneity issues by using soil information related to earthquake risk, which reduces the height of buildings and therefore increases the cost of agglomeration. The analysis focuses on Cali, Colombia, where the informal sector employs 60 per cent of the workforce. The registration of economic activities is used as a criterion to identify informal firms, in such a way that the percentage of informal firms is 42 per cent.

The authors find that the effect of agglomeration is strongly negative. The probability of being informal diminishes by 52 per cent when agglomeration increases by one standard deviation. Results in this paper shed light on how formal firms tend to be localized in high-density commercial and industrial areas, while informal firms are localized in low-density and peripheral areas where the land for production is cheaper and where they can avoid the control of authorities.

Theory argues that spatial production externalities and commuting costs are among the main forces that shape the city’s internal structure. Externalities include effects that increase firms’ production, and therefore workers’ income, when the size of the local economy grows. The authors now have strong evidence that firms’ productivity is positively related with the volume of nearby employment. Most of the empirical findings concern firms in the formal sector and, accordingly, the literature says little about the effect of agglomeration on informal firms’ location. However, this effect is crucial for developing countries where informal work is the main option for less-educated workers facing unemployment.

The purpose of this paper is to explore the location decision of multinationals across major cities in Latin America. Based on agglomeration economics and institutional theory, the paper explores whether institutional quality of a city can temper the attraction of agglomeration factors.

The paper analyzes the geographic dispersion of three global fast-food franchise networks in 45 Latin American cities. The explanatory variables are horizontal aggregation of other multinationals and the institutional quality of a city. The direct and indirect impacts of horizontal agglomeration are explored through negative binomial regression with controls for city population and economic power [gross domestic product (GDP)].

The key finding is that location choice of fast-food networks is driven principally by market conditions and to a lesser extent by horizontal agglomeration. The institutional quality of a city has a positive influence on the agglomeration of fast-food networks. A city with strong institutional quality makes this relation stronger.

Other multinational and national fast-food franchises are not included in the paper. Future studies should include a greater number of global and local fast-food franchisers.

The positive reinforcements of agglomeration and strong institution are important for the investment location decision of fast-food multinationals. The institutional quality of the city should be an important consideration in the location decision as it expands regionally and within a country. Smaller cities may not offer the agglomeration advantages of the large metropolitan areas, but their good institutional quality may reduce the business costs for multinationals.

Large cities in Latin America tend to reap the benefits of agglomeration. As a result, smaller secondary cities struggle to be relevant in generating economic activity and attracting private investments. One strategy to achieve relevance is to build strong and transparent institutions and a solid business environment.

The inclusion of institutional quality at the city level as moderation of the agglomeration factors influencing the location decision of a multinational is original. This paper contributes to our understanding of the importance of regional cities in attracting the investment of multinational firms.

The purpose of this paper is to examine the role colonial ties play in attracting foreign direct investment (FDI) to Ghana, several years after the official end of colonisation in the African continent. Colonisation left behind legacies of institutional framework, social ties and remnants of companies of colonial masters, which could potentially offer contemporary businesses from home countries the benefits of country of origin agglomeration.

This paper uses sequential explanatory mixed research design through 101 questionnaires and 8 interviews from the UK companies with FDI in Ghana. This approached enabled the initial quantitative results to be explored further through the qualitative data.

Colonial ties have limited influence on contemporary flow of FDI to Ghana, in spite of the institutional legacies between former colonisers and colonies. Majority of UK companies are influenced by agglomeration opportunities in general rather than country of origin agglomeration. However, country of origin agglomeration remains important to over a third of the companies surveyed.

The sample was taken from the non-extractive industry in Ghana, and caution must be applied in generalising the findings. However, some universal issues concerning agglomeration and institutions are discussed.

Although there has been some research on colonial history and its impact on FDI in Africa, existing knowledge on bilateral relations is rather limited. Unlike previous studies, this research provides depth by examining colonial influence on FDI between two countries, using two key concepts: country of origin agglomeration and institutions. It provides UK companies with contemporary views to consider when exploring FDI opportunities in Ghana, particularly in relation to the effects of the colonial history. It also provides investment promotion agencies with empirical results on the importance of various forms of agglomeration and institutions for FDI attraction.

The purpose of this paper is to theorize how the industry life cycle unfolds differently across places and how economic agglomeration varies over time.

The paper relies on literature review and conceptual analysis.

It generates a dynamic geographic concentration model (i.e. an industry’s degree of geographic concentration drops in the growth stage, rises in the mature stage, and drops again in the new growth stage) and a localized industry life-cycle model (i.e. temporal dynamics differ between the center and the periphery).

It makes contribution by theorizing that the extent to which an industry is geographically concentrated changes over time, and by demonstrating how an industry’s center and periphery may experience different temporal dynamics.

The purpose of this paper is to establish the index system of leading industries in Kashgar urban agglomeration, and use the multi-attribute weighted intelligent grey target decision-making evaluation model to measure the comprehensive effect, so as to select the leading industries of Kashgar urban agglomeration.

First, 18 industries in Kashgar urban agglomerations are taken as objectives, and four indexes, namely, demand income elasticity index, growth rate index, labor productivity growth rate index and contribution rate of output value, are selected to construct an evaluation system for leading industry selection in Kashgar urban agglomerations. Then, grey incidence degree method is used to determine the decision-making power of each decision-making objective. Finally, multi-attribute weighted intelligent grey target decision-making evaluation model is used to measure the comprehensive effect of the objective system of leading industries in Kashgar urban agglomerations.

It can be seen that the multi-attribute weighted intelligent grey target decision-making evaluation model is more convenient to be used in selecting regional leading industries, and the results are accurate and feasible. Based on the calculation results and the actual economic development requirements of Kashgar urban agglomeration, the leading industries of Kashgar urban agglomeration can be determined as: wood processing, furniture, paper making and printing; wholesale and retail; construction; equipment manufacturing; transportation, storage and postal services.

First, it is a new method in selecting regional leading industry by using the multi-attribute weighted intelligent grey target decision-making evaluation model. Second, since there is relatively little research on Kashgar urban agglomeration, especially on leading industries in Kashgar urban agglomeration. The research in this paper can not only enrich the research on selecting leading industries in urban agglomeration but also provide scientific reference for relevant government agencies to formulate economic development plans.

The purpose of this paper is to identify those attributes of created and evolved retail agglomeration formats that have a substantial impact on overall attractiveness from the consumers' point of view. From an agglomeration management perspective primary areas of concern are identified and suggestions to increase the competitiveness of diverse agglomeration formats are presented.

Through synthesizing pertinent literatures, the paper produces a conceptual framework that proposes significant impacts between ten generic agglomeration attributes and different dimensions of attractiveness. The paper then tests the hypotheses using a survey of more than 1,000 consumers of three competing agglomeration formats (a town center, a strip center, and a regional shopping mall) in a particular locality.

Retail‐related factors and the atmosphere influence attractiveness most significantly in each of the three settings. All other factors – in particular convenience related ones – show only format specific relevance or are of no direct importance on the consumers' evaluation of attractiveness.

The findings can only be transferred to similar retail settings and do not consider supra‐regional agglomerations.

The results suggest that management of all three agglomerations is quite limited in directly influencing attractiveness. They should instead focus on the optimum selection of retail tenants and support or compliment the marketing endeavors of their tenants.

The focus is on regional retail agglomerations and considers the interdependencies between different formats in one geographical area. The in vivo survey approach takes into account the moderating effect of the shopping situation when consumers' evaluate the attractiveness of competing shopping venues.