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In the context of India's growth and development benchmarked against China, this paper aims to address two important research questions: How do the growth models and market potential of China and India compare? What are some policy lessons to be learned?

This paper presents a critical analysis and review of the empirical results.

While India has adopted policies that have stimulated consumer demand and fostered entrepreneurship, China has adopted policies that have encouraged resource‐mobilization. China's physical infrastructure, while impressive, may have come at the cost of social investments (e.g. primary and secondary education). Empirical result shows that social investments are important for an economy's sustained growth, more than incentives to attract foreign direct investments. While the structure of the economy appears to be more promising for India, there is one enigmatic issue yet to be understood: China's path of economic development (agriculture to industry to services) has been demonstrated to be viable but India's path of development (almost directly agrarian to services‐based) may or may not be viable (the jury is still out). Finally, data from China and India are not yet discriminating enough to answer the question: is growth driven by greater export‐import trade recommended for long‐term and stable growth?

This study shows that while China and India have adopted two different models of growth, India's model is likely to be more sustainable.

This study aims to test the Malthusian and Kremer theories by exploring the relationship between population and economic growth in a low middle-income economy of India.

The autoregressive distributed lag approach is employed based on the nature of time-series data to achieve the study objectives. In this study, regressand is economic growth measured by real GDP, and the regressors are population growth rate, investment, life expectancy and inflation rate from 1980 to 2018.

Empirical results confirm the applicability of Kremer’s theory. In this theory, population growth has a significant and positive impact on economic growth in the short and long run. Moreover, investment and life expectancy variables have a positive and significant impact on economic growth, whereas inflation rate has a negative association with economic growth. Empirical results support the population-growth-driven economic growth hypothesis, which indicates that population growth stimulates economic growth and development.

Empirical findings in this study provide guides for management authorities in formulating the right and relatable policies on population growth whilst promoting economic growth and social welfare.

Achieving a desirable level of economic growth is the prime objective of every country. The role of the population in the process of economic growth and development cannot be overlooked. Malthus' and Kremer's views are opposite. Extant literature exhibits that scant research has been carried out on this significant topic in developing countries. Therefore, empirically investigating the effect of population on the growth performance of India as a developing country is necessary and will significantly contribute to the literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0496

In the past 20 years, Macao has experienced phenomenal economic growth driven by the liberalization of its casino sector. This growth has been enabled by massive influxes of foreign capital and migrant labor that have dramatically altered the city’s ethnic landscape. In this paper, the author examines the demographic changes Macao has experienced as a result of the casino boom, and situates the city’s current economic growth and ethnic diversification within its long history as a multi-ethnic city.

Building on Nancy Foner’s notion of “contexts of settlement,” the study draws on census materials, policy statements, newspaper articles and ethnographic materials to examine how changing ideologies of globalization help shape the categories through which ethnic diversity itself is conceptualized.

The paper has three main findings. First, despite the Macao government’s multicultural rhetoric, its labor and residency policies that prevent migrant workers from settling in Macao may paradoxically serve to maintain the ethnic status quo ante. Second, the new contexts of settlement engendered by Macao’s casino globalization may be amplifying fissures within the ethnic category “Chinese.” And third, discourses of globalization, regulations on immigration, and classificatory systems governing ethnic diversity that were instituted under Portuguese rule have both helped shape these new contexts and been reworked in the process.

As the processes of urbanization, economic integration and transnational migration continue to accelerate throughout East Asia, the goal of creating inclusive, equitable multi-ethnic urban societies will require closer examination of the relationship between particular modes and ideologies of “global” engagement, patterns of and policies toward migration and the concepts and categories through which diversity is measured. This approach to understanding multi-ethnic Macao may serve as an example.

The purpose of this paper is to examine the nature of supply chain complexity and extend this with literature developed within the project domain. The authors use the lens of ambidexterity (the ability both to exploit and explore) to analyse responses to complexity, since this enables the authors to understand the application of known solutions in conjunction with innovative ones to resolve difficulties. This research also seeks to investigate how managers respond to supply chain complexities that can either be operationally deleterious or strategically beneficial.

The authors develop a descriptive framework based on the project management (PM) literature to understand response options to complexity, and then use interviews with supply chain managers in six organisations to examine the utility of this framework in practice. The authors ask the research question “How do managers in supply chains respond to complexities”?

The case study data show first that managers faced with structural, socio-political, or emergent supply chain complexities use a wide range of responses. Second, over a third of the instances of complexity coded were actually accommodated, rather than reduced, by the study firms, suggesting that adapting to supply chain complexity in certain instances may be strategically appropriate. Third, the lens of ambidexterity allows a more explicit assessment of whether existing PM solutions can be considered or if novel methods are required to address supply chain complexities.

The descriptive framework can aid managers in conceptualising and addressing supply chain complexity. Through exploiting current knowledge, managers can lessen the impact of complexity while exploring other innovative approaches to solve new problems and challenges that evolve from complexity growth driven by business strategy.

This study addresses a gap in the literature through the development of a framework which provides a structure on ways to address supply chain complexity. The authors evaluate an existing project complexity concept and demonstrate that it is both applicable and valuable in non-project, ongoing operations. The authors then extend it using the lens of ambidexterity, and develop a framework that can support practitioners in analysing and addressing both strategically necessary supply complexities, together with unwanted, negative complexities within the organisation and across the supply chain.

This paper aims to draw lessons from China's development experiences, particularly in the areas of agricultural and rural development, to increase growth and reduce poverty in Africa South of the Sahara. It also examines China's rising economic involvement in Africa and makes recommendations for how the win-win outcomes from this engagement can be strengthened.

In this paper, the authors compare the trends in economic and agricultural growth, as well as poverty and hunger reduction, in China and Africa South of the Sahara. The authors then examine strategies for development – in particular agricultural and rural development – and poverty reduction. Next, the authors review China's economic engagement in Africa in the areas of trade, investment, aid, and technical cooperation.

Having conducted a comparative review of China and Africa's distinct development paths and current policy contexts, the authors discuss China's development lessons for Africa South of the Sahara and policy recommendations for China-Africa engagement related to agricultural and rural development, openness and liberalization, evidence-based policymaking, pro-poor policies, institutions and capacity, rising inequality, and environmental degradation.

This paper rigorously integrates China's positive and negative development lessons for Africa in light of the most recent research on emerging domestic and international development strategies.

This paper aims to examine indigenous governance and economies of iwi Maori (Maori tribes) in Aotearoa New Zealand. Research into persisting inequities amongst iwi that have settled treaty claims and the potential for intervention through new governance models and indigenous entrepreneurship contextualise the paper.

Kaupapa Maori (Maori philosophy) is used as an indigenous methodology to facilitate and empower transformative change, underpinned by Maori knowledge, language and culture. A multi-level approach is used to collect data from international, national and local tribal organisations. Validity is established through stakeholder engagement.

A central challenge in the post-treaty settlement context is exponentialising tribal capabilities because of the multiple purposes ascribed to post-settled iwi. Four themes, characterised as “unfolding tensions”, offer a critique and basis for solving tribal development challenges: how do tribes create culturally grounded global citizens; how do tribes rebalance wealth creation and wealth distribution; how do tribes recalibrate tribal institutions; and how do tribes embed entrepreneurship and innovation within their economies?

As data collection is still underway, the paper is conceptual.

Five strategies to address unfolding tensions are identified for tribes to consider.

Tribal governors and tribal members are implicated in the analysis, as well as the architects of post-treaty settlement governance models.

The paper contributes to theorising about tribal governance, economies and entrepreneurship.

This paper examines the dynamic causal relationship between education and economic growth in South Africa using annual time-series data from 1986 to 2017. The study attempts to answer one critical question: Does education, which is one of the priority sectors in South Africa, drive economic growth?

The study uses the ARDL bounds testing approach and ECM-based Granger causality model to examine this linkage. The study also uses three proxies to measure the level of education. In addition, the study uses two variables: investment and labour, as intermittent variables between the various proxies of education and economic growth, thereby creating a system of multivariate Granger-causality models.

The study finds that the causal relationship between education and economic growth in South Africa is dependent on the variable used to measure the level of education. In addition, the causality tends to change over time. Overall, the study finds the causal flow from economic growth to education to supersede the causal flow from education to economic growth.

Unlike some previous studies, the current study uses three proxies of education in South Africa and two intermittent variables in a multivariate setting. To our knowledge, this may be the first study of its kind to examine in detail the dynamic causal relationship between education and economic growth in South Africa – using the ARDL bounds testing approach and a multivariate Granger causality model.

Sustainability development goals (SDGs) cannot be achieved without a concerted effort from businesses and other organisations, being the corporate level is one of the keys to the achievement of SDGs. This study aims to explore the relationship between firms' adoption of SDG reporting in China and two main corporate-level factors, namely, board characteristics and ownership factors. Also, this study aims to determine which set of drivers – those related to board or ownership factors – exerts a greater influence on this reporting.

This research examines the impact of ownership and board-level factors on the SDG reporting of Chinese firms in the period 2016–2018, with a final sample of 455 firm-year observations operating in 11 activity sectors.

The results support the following: firstly, that board independence and size and the existence of a corporate social responsibility (CSR) committee favours firms addressing SDGs in their sustainability reporting while greater levels of foreign or institutional ownership are negatively related to a company's adoption of SDG reporting; secondly, two-stage logit regression results revealed that board-level factors exert greater explanatory power in the prediction of this reporting and have bigger weights in affecting the SDGs reporting.

This study focuses on assessing the drivers of SDGs; namely, what internal factors will facilitate companies' better implementation of SDG reporting to bridge the gap in this field, not only extending the investigation of corporate governance factors affecting SDGs but also examining the impact of corporate ownership on SDG reporting.

This study enriches and provides support for previous studies examining the drivers of SDGs in the private sector. In academia, addressing SDGs in business is still an emerging research stream that is still in an embryonic state; the reporting of SDGs in business is quite under-investigated in the sustainability literature. Moreover, literature on the drivers that promote better implementation of SDGs in business is even more scarce and incomplete. Some previous studies have ignored the impact of board size and the CSR committee. At the same time, there is no research to date on the impact of ownership on companies' SDGs reporting, which has been proved to play a large role in firms sustainability reporting.

At present, the Chinese economy has entered the “new normal” phase with the transformation of development stages from the low-income to the middle-income ones. Accordingly, there appear a series of innovations in development theories. Innovations involve creative destructions. Therefore, innovative development theories at the present stage either deny the prevailing principles of development economics, or deny the theories that once effectively guided development at the low-income stage, or even sublate some of the development polices which were propelled and proved effective at the beginning of the reform and opening-up. The fundamental reason is that, as the development stages evolve, there occur new development tasks, new periodical characteristics and new laws of development. The paper aims to discuss these issues.

Any development theory from abroad will find it difficult to correctly guide and clarify development problems in a socialist country, such as the huge population and the extreme imbalance between the urban and the rural and among regional developments.

In conclusion, China, as a large world economy, has made innovations in its economic development theory, which indicates that it intends to perfect itself rather than seek hegemony. As the world’s second largest economy, China should adapt to the transformation and further free people’s minds instead of adhering to the old patterns of thinking. It should think over the path of development for a great world economy from the historical starting point of a large world economy and find development strategies to transform itself from a large economy to a great economy, so as to realize the dream of the Chinese nation to build a powerful country.

Only political economy studies both the relations of production and the productive forces, and only a theory combining both can correctly guide China’s economic development, which especially needs to be promoted by taking advantage of socialist economic system. Therefore, the first and foremost principle for a socialist political economy with Chinese characteristics is to insist on liberating and developing productive forces.

The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms.

This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes.

Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors.

Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market.

This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner.

In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems.

This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.