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The authors show in this paper that increasing the transparency of the trading environment can be an important complement to traditional liberalization of tariff and non-tariff barriers. Our definition of transparency is grounded in a transaction cost analysis. The authors focus on two dimensions of transparency: predictability (reducing the cost of uncertainty) and simplification (reducing information costs). Using the Asia Pacific Economic Cooperation (APEC) member economies as a case study, the authors construct indices of importer and exporter transparency for the region from a wide range of sources. Our results from a gravity model suggest that improving trade-related transparency in APEC could hold significant benefits by raising intra-APEC trade by proximately USD 148 billion or 7.5 pecent of baseline trade in the region.

Cost Analysis --- Economic Development --- Economic Theory and Research --- Empirical Evidence --- Empirical Research --- Environment --- Environmental Economics and Policies --- Intermediate Goods --- Macroeconomics and Economic Growth --- Policy Instruments --- Producers --- Property Rights --- Transaction Costs --- Welfare Gains

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The use of expert or qualitative surveys to rank countries' business investment conditions is widespread. However, within the economic literature there are concerns about measurement error and endogeneity based on characteristics of the respondents, raising questions about how well the data reflect the underlying reality they are trying to measure. This paper examines these concerns using data from 79,000 firms in 105 countries. The findings show that first, qualitative rankings correlate well with quantitative measures of the business environment, using both quantitative measures from within the survey and from external sources. Second, there are systematic variations in perceptions based on firm characteristics - focusing in particular on size and growth performance. However, it is not that an optimistic view of the business environment is simply the expression of a firm's own performance. Rather, firm size and performance affect the relative importance of certain constraints, particularly in areas such as finance, time with officials/inspectors, corruption, and access to reliable electricity. The results also show that much of the variation in subjective responses by firm types is largely due to differences in the objective conditions across firm types. There is little evidence that size and performance have non-linear effects in how constraining a given objective condition is reported to be. Overall, concerns about endogeneity remain in using business environment indicators to explain firm performance, but this stems primarily from the fact that who you are and how well you are doing can affect the conditions you face rather than whether the indicator used is qualitative or quantitative.

Access to Finance --- Access to finance --- Allocative efficiency --- Bribes --- Corruption --- E-Business --- Economic development --- Economic growth --- Empirical evidence --- Employment growth --- Environment --- Environmental Economics and Policies --- External finance --- Finance and Financial Sector Development --- International bank --- Lack of access --- Limited access --- Limited access to finance --- Metals --- Microfinance --- Multipliers --- Policy makers --- Private Sector Development --- Property rights --- Public goods --- Tax rates --- Transport --- Transport Economics, Policy and Planning --- Wages

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Many highly-disaggregated cross-country indicators of institutional quality and the business environment have been developed in recent years. The promise of these indicators is that they can be used to identify specific reform priorities that policymakers and aid donors can target in their efforts to improve institutional and regulatory quality outcomes. Doing so however requires evidence on the partial effects of these many very detailed variables on outcomes of interest, for example, investor perceptions of corruption or the quality of the regulatory environment. In this paper we use Bayesian Model Averaging (BMA) to systematically document the partial correlations between disaggregated indicators and several closely-related outcome variables of interest using two leading datasets: the Global Integrity Index and the Doing Business indicators. We find major instability across outcomes and across levels of disaggregation in the set of indicators identified by BMA as important determinants of outcomes. Disaggregated indicators that are important determinants of one outcome are on average not important determinants of other very similar outcomes. And for a given outcome variable, indicators that are important at one level of disaggregation are on average not important at other levels of disaggregation. These findings illustrate the difficulties in using highly-disaggregated indicators to identify reform priorities.

Access to information --- Algorithms --- Causation --- Correlations --- Econometrics --- Economic activity --- Economic development --- Economic growth --- Economic Theory & Research --- Economists --- Empirical analysis --- Empirical evidence --- Environment --- Environmental Economics & Policies --- Governance --- Governance Indicators --- Instrumental variables --- Linear regression --- Macroeconomics and Economic Growth --- Matrix --- Probabilities --- Probability --- Sample size --- Science and Technology Development --- Standard deviation --- Standard deviations --- Statistical & Mathematical Sciences --- Statistical significance

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This paper presents a framework for analyzing tropical deforestation and reforestation using the von Thunen model as its starting point: land is allocated to the use which yields the highest rent, and the rents of various land uses are determined by location. Forest cover change therefore becomes a question of changes in rent of forest versus non-forest use. While this is a simple and powerful starting point, more intriguing issues arise when this is applied to analyze real cases. An initial shift in the rent of one particular land use generates feedbacks which affect the rent of all land uses. For example, a new technology in extensive agriculture should make this land use more profitable and lead to more forest clearing, but general equilibrium effects (changes in prices and local wages) can modify or even reverse this conclusion. Another issue is how a policy change or a shift in broader market, technological, and institutional forces will affect various land use rents. The paper deals with three such areas: technological progress in agriculture, land tenure regimes, and community forest management. The second part of the paper links the von Thunen framework to the forest transition theory. The forest transition theory describes a sequence over time where a forested region goes through a period of deforestation before the forest cover eventually stabilizes and starts to increase. This sequence can be seen as a systematic pattern of change in the agricultural and forest land rents over time. Increasing agricultural rent leads to high rates of deforestation. The slow-down of deforestation and eventual reforestation is due to lower agricultural rents (the economic development path) and higher forest rent (the forest scarcity path). Various forces leading to these changes are discussed and supported by empirical evidence from different tropical regions.

Common Property Resource Development --- Conceptual Framework --- Deforestation --- Economic Development --- Economic Theory and Research --- Economics --- Empirical Evidence --- Environment --- Environmental Economics and Policies --- Equilibrium --- Forest Management --- Forestry --- Forests and Forestry --- Labor --- Land --- Land Use --- Macroeconomics and Economic Growth --- Markets --- Poverty --- Prices --- Rural Development --- Rural Development Knowledge and Information Systems --- Technological Change --- Technological Progress --- Technology --- Trade --- Wages

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This paper presents a framework for analyzing tropical deforestation and reforestation using the von Thunen model as its starting point: land is allocated to the use which yields the highest rent, and the rents of various land uses are determined by location. Forest cover change therefore becomes a question of changes in rent of forest versus non-forest use. While this is a simple and powerful starting point, more intriguing issues arise when this is applied to analyze real cases. An initial shift in the rent of one particular land use generates feedbacks which affect the rent of all land uses. For example, a new technology in extensive agriculture should make this land use more profitable and lead to more forest clearing, but general equilibrium effects (changes in prices and local wages) can modify or even reverse this conclusion. Another issue is how a policy change or a shift in broader market, technological, and institutional forces will affect various land use rents. The paper deals with three such areas: technological progress in agriculture, land tenure regimes, and community forest management. The second part of the paper links the von Thunen framework to the forest transition theory. The forest transition theory describes a sequence over time where a forested region goes through a period of deforestation before the forest cover eventually stabilizes and starts to increase. This sequence can be seen as a systematic pattern of change in the agricultural and forest land rents over time. Increasing agricultural rent leads to high rates of deforestation. The slow-down of deforestation and eventual reforestation is due to lower agricultural rents (the economic development path) and higher forest rent (the forest scarcity path). Various forces leading to these changes are discussed and supported by empirical evidence from different tropical regions.

Common Property Resource Development --- Conceptual Framework --- Deforestation --- Economic Development --- Economic Theory and Research --- Economics --- Empirical Evidence --- Environment --- Environmental Economics and Policies --- Equilibrium --- Forest Management --- Forestry --- Forests and Forestry --- Labor --- Land --- Land Use --- Macroeconomics and Economic Growth --- Markets --- Poverty --- Prices --- Rural Development --- Rural Development Knowledge and Information Systems --- Technological Change --- Technological Progress --- Technology --- Trade --- Wages