Exploring the relationship between transparency, attractiveness factors, and the location of foreign companies: what matters most?

Mabillard, Vincent; Vuignier, Renaud

doi:10.1057/s41254-020-00171-6

Cited by 7 publications

(1 citation statement)

References 24 publications

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“…Another crucial aspect of place-based policy that could significantly enhance strategic sectors and income levels is the concept of "place branding" for provinces. Place branding goes beyond merely attracting tourists; it can be a powerful tool in drawing investment, entrepreneurs, and businesses to targeted provinces (Che 2008;Cleave et al 2016;Mabillard and Vuignier 2021;Roozen et al 2017;Rothschild et al 2012;Sparvero and Chalip 2007;Wisuchat and Taecharungroj 2022). By effectively presenting the unique business opportunities and quality of life each province offers, place branding can play a pivotal role in mitigating spatial inequality and boosting income.…”

Section: Improving Regulatory Framework and Province Brandingmentioning

confidence: 99%

Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces

Taecharungroj

2024

Economies

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This study investigates the impact of various economic sectors on household income in Thailand. It is conducted in light of the substantial “digital wallet” scheme initiated by the Thai government, with the goal of providing empirical evidence and suggesting alternative policies for regional development informed by sectoral and spatial insights. The research aims to deepen the understanding of how different economic sectors affect household income, filling a gap in the current understanding of the relationship between sectoral productivity and income. Utilising spatial lag models (SLM), the study analyses data spanning from 2005 to 2021, testing the effects of 19 economic sectors comprising the Gross Provincial Product (GPP) of Thailand’s 76 provinces on the average household income. The findings indicate direct associations between agriculture, real estate, professional services, support services, and leisure sectors and household income, alongside pronounced spatial autoregression. This implies that income levels in one province can substantially influence those in neighbouring provinces. This research extends the understanding of economic influences at the regional level and highlights the importance of considering spatial factors in economic policymaking.

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Section: Improving Regulatory Framework and Province Brandingmentioning

confidence: 99%

Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces

Taecharungroj

2024

Economies

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Economic Coopetition and the Absence of Comprehensive Data: Why Scholars and Practitioners Should Work Hand in Hand

Mabillard

Vuignier

2021

Public Branding and Marketing

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Policies designed to attract and retain residents, tourists and companies form one of the ultimate goals of place branding. These policies are of vital importance for public sector organizations because of their added value to the economy and quality of life of a given area. Consequently, a careful assessment is needed to better understand the issues at stake and how the attractiveness potential can be raised. Creating the conditions for such an assessment requires accurate data collection and analysis. Regarding residents and tourists, data usually abound, increasing the feasibility of impact assessment studies. However, detailed statistics about companies are often missing, especially in a context characterized by a strong dynamic of coopetition. Here, we investigate the case of Switzerland, where the federal entities are in competition with each other but at the same time join their forces under the umbrella of supra-regional organizations. The absence of precise and systematic information about the establishment of new private firms in the federated states, which is reported in this chapter, has implications for research and practice. It is symptomatic of a broader issue: the lack of access to data regarding attractiveness. On the one hand, scholars cannot fully exploit the fragmented available data and can only provide scattered evidence about attractiveness policies. On the other hand, this opacity problem may lead to the global absence of trends, long-term evolutions and the identification of best practices in the field. This chapter calls for collaborative projects between researchers and practitioners to develop tools to better assess the impact of places' attractiveness policies.

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Rural Attractiveness and Well-Being

Wieliczko,

Chmieliński

2023

Encyclopedia of Quality of Life and Well-Being Research

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Exploring the relationship between transparency, attractiveness factors, and the location of foreign companies: what matters most?

Cited by 7 publications

References 24 publications

Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces

Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces

Economic Coopetition and the Absence of Comprehensive Data: Why Scholars and Practitioners Should Work Hand in Hand

Rural Attractiveness and Well-Being

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