INSTITUTIONS,ECONOMICS AND THE DEVELOPMENT QUEST

Institutions crucial for the analysis of how agents deal with uncertainty have been gaining increasing relevance on the economic research agenda. In this paper, we analyze the institutional literature aiming to explain why this perspective obtains better results than others in development economics. In particular, we stress the relevance of New Institutional Economics as an adequate framework for a broad understanding of development issues.     

Livelihoods and farm efficiency in rural Georgia

This study contributes to the literature on the role of livelihood strategies in rural growth and poverty reduction. It distinguishes between livelihood diversity strategies that contribute to sustainable growth in household incomes, and those that mainly have a ‘coping’ function. It suggests that typically, the contribution of livelihood diversity to growing household income is through relaxing dependence on credit for access to capital. In this scenario, livelihood diversity would lead to higher technical efficiency in agriculture via investment and thereby to higher household incomes. Survey data from Georgia are introduced and used to test these hypotheses using a Bayesian stochastic frontier approach. The findings are relevant to defining more clearly the scope and aims of policies to stimulate the rural non-farm economy in developing and transition countries.     

Spurious deterministic seasonality and autocorrelation corrections with quarterly data: Further Monte Carlo results

Following recent work of Franses, Hylleberg and Lee (FHL), this paper analyses the consequences of fitting a deterministic seasonal model to a quarterly time series which can be (at least approximately) described by a seasonal unit root(s) model. Besides the distribution of the coefficient of determination, the empirical distributions of two commonly used statistics are also investigated through Monte Carlo experiments for small, moderately large and large samples. FHL's work is also extended allowing the possibility of residual autocorrelation corrections. The main conclusion that emerges from the results is that one should not try to measure the importance of deterministic seasonality nor test for its presence in the context of such (static) regression models, even when using some form of residual autocorrelation correction. A simple empirical application is provided to illustrate our results. First version received: July 1997/final version received: July 1998     

Entrepreneurial co‐creation: societal impact through open innovation

New open innovation initiatives, such as accelerators, living labs, social innovation labs and open labs, involve for‐profit and not‐for‐profit actors working closely together to co‐create both business value and societal impacts. However, there is a lack of theoretical underpinning to understand how and why co‐creation by actors generate different types of social value in the concurrent pursuit of business and social value. Adopting an inductive case study approach, we find that different types of entrepreneurs who co‐exploit co‐identify opportunities for co‐creation, generate potentially competing social and business values. We develop four propositions relating to how and why profit orientation and key resource contributions of entrepreneurs co‐identifying an opportunity to co‐create decide the nature of social value generated. We discuss avenues for future research and practical implications, underlying the importance of developing entrepreneurialism as ways to generate different social impacts through open innovation approaches, such as co‐creation.     

The evolution of corporate no net loss and net positive impact biodiversity commitments: Understanding appetite and addressing challenges

The World Economic Forum has identified biodiversity loss as an increasingly significant and impactful risk facing business. However, businesses themselves can negatively impact on biodiversity. Recognizing this, a number of companies have developed their own biodiversity commitments, including those to achieve a no net loss (NNL) or net positive impact (NPI) on biodiversity by balancing or outweighing any negative impacts through mitigation activities. We reviewed corporate‐level NNL and NPI commitments over the last two decades to establish the extent of their adoption, retraction, and scientific foundation. Between 2001 and 2016, 66 companies had made NNL/NPI environmental commitments. Thirty three of these 66 companies made specific biodiversity commitments. The numbers of companies making commitments increased in that period. However, some commitments were retracted, or their status became unclear, leaving only 18 companies with active NNL/NPI biodiversity commitments in 2016. Added to this, many of the commitments are lacking science‐based criteria that would allow more transparent and systematic assessment of corporate activities. Thus, although commitments are being made, they may not be delivering as intended. To secure real biodiversity gains, we recommend advancing methods to assess biodiversity risks to businesses, and using science‐based criteria to deepen corporate commitments and actions. Concerted effort from all sectors is needed to halt and reverse biodiversity loss, and the “biodiversity policy super‐year” of 2020 is the perfect moment for business to deliver through well‐framed and implemented commitments to biodiversity NPI.     

Technology transfer in the supply chain oriented to industry 4.0: a literature review

In the supply chain oriented to Industrial 4.0 Scenario the scarcity of studies on Technology Transfer (TT) can be easily observed. TT is a fundamental process, because it steers the absorption and dissemination of technologies towards the various stages of supply chain. The objective of this study is to contextualise TT in the supply chain of Industrial 4.0 Scenario, focusing on the supply, manufacturing industry and final consumer stages. A review of the literature was carried out, using a structured protocol and criteria to compose the bibliographic portfolio. To support the questions presented in this study, the most relevant articles related to the researched topic were thoroughly analyzed. The results infers that in the Industrial 4.0 Scenario, the supply chain will go through changes, such as real-time visibility throughout the entirety of the supply chain, continuous collaboration between the stages of the chain, among other significant changes.     

Should I Stay or Should I Go? Geographic Entrepreneurial Choices in Brazilian Franchising

In the broad empirical literature on franchising, performance outcomes of location decisions appear to be a largely forgotten issue. Yet franchising represents a rich context to study the impact of geographic entrepreneurial choices. Addressing this “blank spot” in the literature, we deal with the following question: Is it better for a chain to stay in the same geographic area, or to expand via distant franchised units? Our econometric estimations on new and unique Brazilian panel data show that spatial agglomeration of chain outlets leads to higher performance, suggesting that agglomeration gains outweigh cannibalization and spatial monopoly effects.     

Micro‐impacts of the Brazilian Regional Development Funds: Does lending size matter?

This paper evaluates the micro‐impacts of regional development funds in Brazil—the Constitutional Financing Funds (CFF)—using fixed effects panel data models and generalized propensity score between 2000 and 2012. Assessing the industrial and commerce/services sectors using fixed effects models, the results provide weak evidence of a positive and statistically significant impact of the CFF on job creation and no statistically significant impact on labor productivity growth at the firm level. Regarding dose‐response estimates, the results present evidence of nonlinear effects after three years of financing, suggesting that the amount of subsidized credit plays an important role in creating jobs and improving firm productivity.     

Identifying vertically differentiated products

Rauch (1999) introduced a product classification scheme that has since been widely used to empirically identify differentiated goods. Using firm-level data on export unit values, we provide direct evidence that this classification is well suited for capturing quality differentiation.